15.12.2012 Views

Climate Change and Local Level Disaster Risk Reduction Planning ...

Climate Change and Local Level Disaster Risk Reduction Planning ...

Climate Change and Local Level Disaster Risk Reduction Planning ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Suggested Citation: Prabhakar, S.V.R.K., A. Srinivasan, <strong>and</strong> R. Shaw. 2009. <strong>Climate</strong> change<br />

<strong>and</strong> local level disaster risk reduction planning: need, opportunities <strong>and</strong> challenges. Mitigation <strong>and</strong><br />

Adaptation Strategies for Global <strong>Change</strong>, 14:7-33.<br />

Abstract<br />

<strong>Climate</strong> <strong>Change</strong> <strong>and</strong> <strong>Local</strong> <strong>Level</strong> <strong>Disaster</strong> <strong>Risk</strong><br />

<strong>Reduction</strong> <strong>Planning</strong>: Need, Opportunities <strong>and</strong><br />

Challenges<br />

S.V.R.K. Prabhakar, Ancha Srinivasan, <strong>and</strong> Rajib Shaw<br />

The field of climate change is full of uncertainties that are limiting strategic disaster risk reduction<br />

planning. In this paper, however, we argued that there is lot to do before we get our h<strong>and</strong>s on<br />

reliable estimates of future climate change impacts. It includes bringing together different<br />

stakeholders in a framework suggested in this paper, developing case studies that reflect long-<br />

term local impacts of climate change, capacity building of local stakeholders that enables them to<br />

take decisions under uncertainty etc. We proposed a simple scheme that brings together climate,<br />

disaster <strong>and</strong> policy community together to start a dialogue in a run-up to underst<strong>and</strong>ing wider<br />

aspects of long-term risk reduction at local level. Strategic thinking, which has only been<br />

restricted to national <strong>and</strong> regional planning to date, needs to be inculcated in local level disaster<br />

risk reduction <strong>and</strong> policy personnel as well. There is a need to move from the attitude of<br />

considering local level players as ‘implementers’ to ‘innovators’ for which developing a network<br />

of self learning <strong>and</strong> evolving organizations are required at the local level.<br />

Key Words: <strong>Local</strong> disaster risk reduction planning; climate change; strategic planning;<br />

uncertainty; climate task group


Abbreviations:<br />

AWWA American Water Works Association<br />

CRED Center for Research on Epidemiology of <strong>Disaster</strong>s<br />

CTG <strong>Climate</strong> task group<br />

GHG Greenhouse GasesSrinivasan Ancha; Rajib Shaw; <strong>and</strong> Ian Davis<br />

IPCC Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong><br />

UK CIP United Kingdom <strong>Climate</strong> Impacts Program<br />

UNDP APF United Nations Development Program Adaptation Policy Framework<br />

The linkage between development <strong>and</strong> disasters is well known (Wisner et al 2004; Otero <strong>and</strong><br />

Marti 1995; Stenchion, 1997; Pelling, 2003; McEntire, 2004; UNDP, 2004). <strong>Climate</strong> change has<br />

brought another dimension to the development (Denton et al, 2002; McCarthy et al, 2001;<br />

Michael, 2003; Richards, 2003). The Brundtl<strong>and</strong> Report identified <strong>Climate</strong> <strong>Change</strong> as one of the<br />

three problems bearing on our survival way back in 1987 (World Commission on Environment<br />

<strong>and</strong> Development, 1987). The Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong> (IPCC) has indicated<br />

that climate change will interact at all scales <strong>and</strong> sectors including disaster risk (page 70,<br />

Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>, 2007b). The IPCC also reported an increase in<br />

global atmospheric temperature by 0.74 OC in the past 100 years with associated changes in<br />

precipitation (Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>, 2007a). There are evidences for<br />

longer droughts in tropics <strong>and</strong> subtropics, increasing frequency of heavy rainfall events on most<br />

l<strong>and</strong> areas <strong>and</strong> for increasing intensity of tropical cyclones in North Atlantic. These changes are<br />

expected to have multi-fold impacts in the form of floods <strong>and</strong> droughts in various parts of the<br />

world. The extreme events can be devastating for the developing countries which have less<br />

capacity to adapt (Mendelsohn <strong>and</strong> Dinar, 1999; Ravindranath <strong>and</strong> Sathaye, 2002; Winkler, 2005;<br />

Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>, 2007a). This establishes an undeniable unholy<br />

alliance between climate change, disasters, <strong>and</strong> development. This calls for better underst<strong>and</strong>ing<br />

2


the impacts of climate change in terms of disasters <strong>and</strong> what it means to disaster risk<br />

management professionals <strong>and</strong> policy makers.<br />

Mitigation <strong>and</strong> adaptation approaches were devised to address the problem of climate change<br />

(McCarthy et al, 2001). While mitigation aims at reducing greenhouse gas emissions, adaptation<br />

aims at reducing current <strong>and</strong> future impacts of climate change. Adaptation has gained much<br />

importance due to the fact that the already caused damage to the global environment would<br />

continue to show impacts long time into the future, irrespective of the mitigation practices taken<br />

up <strong>and</strong> implemented at present (Smithers <strong>and</strong> Smit, 1997). Adaptation enhances the capacity of<br />

people <strong>and</strong> governments to reduce climate change impacts (Tompkins <strong>and</strong> Adger, 2003).<br />

However, there have also been cautions for not investing heavily in adaptation as such<br />

investments may lead to mal-adaptations <strong>and</strong> unsustainable development (Kates, 2000; Adger et<br />

al, 2003). In the context of climate change, disaster risk management is considered as an<br />

adaptation option (Smit <strong>and</strong> Pilifosova, 2001; Vulnerability <strong>and</strong> Adaptation Resource Group,<br />

2006). <strong>Disaster</strong> risk management has also been seen as a way to sustainable development (Boulle<br />

et al, 1997; Smit <strong>and</strong> Pilifosova, 2001; Yodmani, 2001). The linkage between climate change <strong>and</strong><br />

disaster risk reduction was subject of intensive formal <strong>and</strong> informal debates at the World<br />

Conference on <strong>Disaster</strong> <strong>Reduction</strong> (WCDR) (Vulnerability <strong>and</strong> Adaptation Resource Group,<br />

2006). In addition, the ‘Hyogo Framework for Action 2005-2015: Building the Resilience of Nations <strong>and</strong><br />

Communities to <strong>Disaster</strong>s’ identified climate change as one of the threats posing the world future<br />

<strong>and</strong> identified disaster risk management planning as one of the key points of entry to tackle the<br />

climate change threats (United Nations International Strategy for <strong>Disaster</strong> <strong>Reduction</strong>, 2005). In<br />

the words of the Framework:<br />

“Promote the integration of risk reduction associated with existing climate variability<br />

<strong>and</strong> future climate change into strategies for the reduction of disaster risk <strong>and</strong><br />

adaptation to climate change, which would include the clear identification of climate<br />

related disaster risks, the design of specific risk reduction measures <strong>and</strong> an improved<br />

<strong>and</strong> routine use of climate risk information by planners, engineers <strong>and</strong> other decision-<br />

makers.”<br />

3


Hence, in this paper, bearing in mind the disaster risk management as an adaptation issue, we<br />

looked at the problems in the existing disaster risk management planning, presented a simple<br />

scheme that we believe would make a beginning in mainstreaming climate change concerns in<br />

disaster risk reduction, <strong>and</strong> discussed possible limitations for realizing the scheme to the full<br />

satisfaction. We first argued that there is a need for different approach in disaster risk<br />

management due to new dimension brought by climate change <strong>and</strong> problems with the existing<br />

disaster risk management planning. Subsequently, we proposed a scheme for incorporating<br />

climate change concerns in disaster risk management planning <strong>and</strong> factors to be considered for<br />

such mainstreaming.<br />

1. Need for a different approach in disaster risk<br />

management now<br />

<strong>Disaster</strong> risk management refers to the systematic management of administrative decisions,<br />

organization, operational skills <strong>and</strong> abilities to implement policies, strategies <strong>and</strong> coping capacities<br />

of the society or individuals to lessen the impacts of natural <strong>and</strong> related environmental <strong>and</strong><br />

technological hazards (United Nations Development Program, 2004). <strong>Disaster</strong> risk management<br />

planning involves underst<strong>and</strong>ing hazards, vulnerabilities <strong>and</strong> potential losses <strong>and</strong> developing<br />

appropriate preparedness <strong>and</strong> mitigation strategies to mitigate such losses. <strong>Disaster</strong> risk<br />

management encompasses complete realm of disaster related activities. <strong>Disaster</strong> management is<br />

not a new subject for many nations. While some nations have been responding to disasters since<br />

time immemorial some others were integrating disaster risk management concerns in various<br />

developmental programs with varied degree of success. Developed nations have been relatively<br />

successful on this front due to their access to better technological <strong>and</strong> financial resources than<br />

the developing <strong>and</strong> underdeveloped nations. There is a need to re-look at the existing disaster risk<br />

reduction approaches due to new risks brought by climate change <strong>and</strong> due to problems in the<br />

existing risk management approaches. In this section, we elaborated these two aspects.<br />

4


1.1. <strong>Climate</strong> change has brought new risks<br />

One of the important reasons that could be put forward is that climate change has potential to<br />

bring considerable change in the hazard profile <strong>and</strong> its interaction with the dynamic vulnerability<br />

<strong>and</strong> risk profiles of countries. It includes change in the kind of disaster that a region is vulnerable<br />

to (e.g. from no disasters in the past to more disaster events), change in type of hazards (e.g. from<br />

more floods to more droughts) or change in hazard intensities <strong>and</strong> magnitudes. The debate on<br />

impacts of climate change vis-à-vis disasters conclusively establish the possibility of rise of<br />

extreme weather events resulting in disasters due to increased energy within climate system.<br />

There are numerous examples stating disaster related impacts such as typhoons <strong>and</strong> hurricanes<br />

(Walsh, 2004; Emanual, 2005; Trenberth, 2005; L<strong>and</strong>eas et al, 2006); floods (Ely et al, 1993;<br />

Whetton et al, 1993; Loukas <strong>and</strong> Ouick, 1999; Schreider et al, 2000; Milly et al, 2002); droughts<br />

(Le Houerou, 1996; Qian <strong>and</strong> Zhu, 2001; King, 2004; Wood et al, 2004); sea level rise (Titus et al,<br />

1991; Permetta, 1992; Gornitz, 1995) <strong>and</strong> health hazards (Haines et al, 2000; Patz et al, 2000;<br />

Reiter, 2001; Kovats <strong>and</strong> Haines, 2005) due to climate change. It shows that the hydro-met<br />

disasters are mostly influenced due to their close linkage with the hydrological cycle which is<br />

consecutively closely linked with global atmospheric circulations <strong>and</strong> heat balance dynamics<br />

(Allen <strong>and</strong> Ingram, 2002; Helmer <strong>and</strong> Hilhorst, 2006). Many of these impacts may not be<br />

uniform across spatial <strong>and</strong> temporal scales (McCarthy et al, 2001).<br />

There is a clear evidence for growing trend of disasters undermining the disaster management<br />

capacities of countries. The data available from the Center for Research on Epidemiology of<br />

<strong>Disaster</strong>s reveals a staggering increase in number of hydro-met disasters during the period of<br />

1900 to 2006 (CRED, 2007), though it was not clear if it was mainly due to increase in hydro-met<br />

events or due to more human systems coming under the way of the same number of hydro-met<br />

events. During this period, the number of registered hydro-met disasters had risen from single<br />

digit number to nearly 343 per year with corresponding increase in the number of people affected.<br />

Though the number of lives lost does not follow the similar trend, the economic losses out of<br />

these disasters had risen to nearly USD 16,338 millions per year with a peak in 2004 (Figure 1).<br />

5


According to Munich Re, the frequency of hydro-meteorological disasters has increased between<br />

1960 <strong>and</strong> 2005 (MunichRe, 2007). There was apprehension that the impacts felt till-to-date are<br />

not yet severe <strong>and</strong> that the consequences are likely to be incremental <strong>and</strong> cumulative (Burton et al,<br />

2002). Examining some of the highly disaster prone countries gives an indication of changes<br />

happening in their disaster profiles (Figure 2) (CRED, 2007). For example, among other disasters,<br />

the number of drought events had raised during recent times in Vietnam. Similar rise could be<br />

seen in the number of extreme temperature events in India. There was a steep increase in number<br />

of floods in both the countries.<br />

Surprises in terms of extreme events have become common during recent years. The year 2004<br />

proved to be most devastating for Japan as 10 intense typhoons l<strong>and</strong>ed in the same year, while<br />

the earlier record used to be l<strong>and</strong>ing of 6 typhoons in 1990 <strong>and</strong> 1993, surprising many<br />

(Government of Ehime Prefecture, 2005; Yatsuka, 2006). <strong>Climate</strong> change was attributed to this<br />

behavior (Japan Meteorological Agency, 2004). The year 2004 also saw many other natural<br />

disasters including drought like conditions in the Indian subcontinent, devastating floods in<br />

South Asian countries of Bangladesh, India, Nepal <strong>and</strong> Pakistan; typhoon in Philippines <strong>and</strong> a<br />

series of hurricanes in Florida reflecting impacts of changing climate (Asian Economic News,<br />

2005). The hurricane Katrina <strong>and</strong> Rita which occurred in August <strong>and</strong> September 2005<br />

respectively further raise the debate on their linkage with the global climate change (Kuger, 2005;<br />

Anthes et al, 2006), though there are no enough evidences to establish the link as a fact. In the<br />

case of hurricane Katrina, the risk being known couldn’t make much difference in terms of how<br />

quickly the local residents <strong>and</strong> governments could react <strong>and</strong> reduce the impacts (Travis, 2005).<br />

This shows how human designed physical <strong>and</strong> social protection systems could fail when a<br />

catastrophic event have to occur (Bohannon <strong>and</strong> Enserink, 2005).<br />

While attributing all the above changes only to climate change is a much debated issue, it is safe<br />

enough to conclude that the disaster profile of countries is changing for sure. This affirms the<br />

need for the disaster management <strong>and</strong> developmental world to address the growing threats in its<br />

planning as they could undermine the development of nations <strong>and</strong> communities. It is not only<br />

6<br />

Figure 1<br />

Figure 2


about more emphasis on disaster risk management but also about how differently it should be<br />

done than before.<br />

1.2. Problems with the existing disaster risk management<br />

planning<br />

Considerable amount of efforts have gone into underst<strong>and</strong>ing disaster risks; thanks to the major<br />

disasters those struck the humanity from time to time acting as reminders (Alex<strong>and</strong>er, 1997;<br />

McGranahan et al, 2001; Pelling, 2003; Wisner et al, 2004). One of the major approaches of<br />

disaster risk reduction is through pragmatic disaster risk management planning (Salter, 1997;<br />

Christoplos et al, 2001). The disaster risk management plans are developed by identifying local<br />

hazards, risks, vulnerabilities, <strong>and</strong> capacities leading to planned interventions by the governments,<br />

corporations <strong>and</strong> communities to reduce disaster vulnerabilities <strong>and</strong> risks while enhancing the<br />

capacities. The present day disaster risk management planning largely aim at reducing the current<br />

disaster risks, i.e. those risks emanating out of current hazards <strong>and</strong> vulnerabilities. Often, these<br />

risk assessments heavily rely on the historical data of hazards at a given location (Ferrier <strong>and</strong><br />

Haque, 2003; Dilley, 2005). However, the future is not always the repetition of the past<br />

(Quarantelli, 1996). Moreover, the assessments from historical data often fail to look into the<br />

future vulnerabilities <strong>and</strong> risks <strong>and</strong> hence cannot incorporate them in terms of added strength in<br />

the plan. Many times, the hazard assessments fail to consider the changing frequencies <strong>and</strong><br />

magnitudes of disasters in their fine details. We are also limited by our underst<strong>and</strong>ing on what<br />

proportion of our current vulnerabilities <strong>and</strong> risks are contributed by the climate change though a<br />

broad conclusion is possible that the risks assessed at a given point of time are results of<br />

interaction between past climate change impacts <strong>and</strong> vulnerabilities. It should be noted that the<br />

current <strong>and</strong> future risks are equally important for the risk management professionals as they aim<br />

at the welfare of the society from the angle of risks <strong>and</strong> sustainability. Thomalla <strong>and</strong> her<br />

colleagues tried to compare the contexts of disaster risk reduction <strong>and</strong> climate change adaptation<br />

<strong>and</strong> emphasized that the disaster risk management community focus more on the current risks<br />

while the climate change experts look more into the future risks (Thomalla et al, 2006).<br />

7


Vulnerabilities to natural hazards will continue to increase unless these two communities come<br />

together. It is important that these two communities talk to each other <strong>and</strong> arrive at a functional<br />

plan of disaster risk reduction that reasonably considers the future risks as well.<br />

One of the important questions to be asked is what makes a disaster risk management plan to<br />

work even in a climate change scenario or what is termed as abrupt climate change (Alley et al,<br />

2003). It has been agreed that the current responses to disasters will no longer be sufficient in a<br />

changed climate (Sperling <strong>and</strong> Szekely, 2005). Adaptation to current climate variability has also<br />

been suggested as an additional way to approach adaptation to long-term climate change (Burton,<br />

1997). Further, it was suggested to identify ‘win-win’ or ‘no regrets’ measures that addresses the<br />

current vulnerabilities (Schipper <strong>and</strong> Pelling, 2001). The possible best win-win measures could be<br />

to tighten the disaster risk management systems by identifying loopholes <strong>and</strong> improving upon<br />

them while continuously be in touch with developments in risk projection methodologies.<br />

<strong>Climate</strong> change can bring two important dimensions to the risk. The Figure 3 shows the<br />

interaction of hazard (circle A) <strong>and</strong> vulnerability (circle B) domains. Intersect of both, shown as<br />

C, represents the proportion of current risks dealt by the current disaster risk management<br />

planning. The figure highlights that the current disaster risk management planning does not cover<br />

entire vulnerabilities at any given point of time due to limitations with the current risk<br />

assessments. While this is the static representation of the hazard, risk <strong>and</strong> vulnerabilities; the<br />

Figure 4 shows the progression of risk over the time <strong>and</strong> successive disaster management<br />

planning <strong>and</strong> revisions as bars. The figure depicts that the vulnerabilities are dynamic, applicable<br />

universally, <strong>and</strong> ever increasing (McEntire, 2001) in some parts of the world as it depends on the<br />

effectiveness of human interventions as a response. As vulnerabilities may grow continuously in<br />

some locations, either in linear or exponential manner as there are no clear assessments available<br />

on risk progression in the available literature, as a result of climate change <strong>and</strong> many other<br />

dynamic pressures, a disaster management plan prepared based on a risk assessment done at X1<br />

point of time remains static during X1-X2 while disaster risks could continue to grow. This is<br />

because of the fact that the vulnerabilities are difficult to assess <strong>and</strong> assessments don’t consider<br />

the growing risks in future (Lewis, 1999; Cardona, 2004). This indicates that the Plan 2 (P2) will<br />

8


soon be negligent of the growing vulnerabilities <strong>and</strong> risks till it is revised into Plan 3 (P3) <strong>and</strong> so<br />

on (shaded area in Figure 4). Regular revision of hazard <strong>and</strong> vulnerabilities are advised due to the<br />

dynamic nature of the risk (Dilley, 2006). Some have suggested a regular review of once in a year<br />

while others have suggested to revise the plan after a major disaster (Kuban <strong>and</strong> MacKenzie-<br />

Carey, 2001; Government of India, 2005; Islamic Republic of Afghanistan, 2005). However,<br />

regular revision of disaster management plans is far from reality in many countries as hazard <strong>and</strong><br />

vulnerability assessments are done when funds are available through a project <strong>and</strong> any revision is<br />

not possible after the termination of the project. It was reported that many revisions were done<br />

only after a major disaster has struck (Pacific <strong>Disaster</strong> Center, 2005a). This argument is supported<br />

by suggestions made by the post-disaster assessment committees (Pacific <strong>Disaster</strong> Center, 2005b;<br />

Government of Hyogo Prefecture, 2006). Part of the problems seems to rest with the financial<br />

<strong>and</strong> other resources needed to undertake such regular revisions as well as lack of strict<br />

enforcement of guidelines in place (Bender, 1991).<br />

For a sustainable risk reduction, disaster risk management planning should deal with current <strong>and</strong><br />

future risks. As for a plan’s effectiveness in dealing with current risks, the plan could be judged<br />

against a set of basic principles governing disaster risk management planning such as hazard, risk<br />

<strong>and</strong> vulnerability assessment, better coordination, preparedness <strong>and</strong> response measures as these<br />

basic principles are sound in considering current risks (Quarantelli, 1988; Quarantelli, 1997a;<br />

Quarantelli, 1997b). As for assessing the robustness of a plan towards future risks, since knowing<br />

future risks involves uncertainty, we suggest that the plan may be assessed for its redundancy. It<br />

is well known that the redundancy could strengthen a disaster management plan against<br />

unforeseen risks such as those caused by the climate change. Let us look at the redundancy<br />

characteristic a little deeper. The redundancy in a disaster management plan is shown in the form<br />

of shaded area in Figure 5. The redundancy indicates that the disaster management plans are<br />

prepared <strong>and</strong> implemented with more strength than required to deal with the perceived <strong>and</strong><br />

assessed risks at a given point of time. If we introduce redundancy in Plan 2 (P2), which is the<br />

shaded area in Figure 5, the plan’s validity in terms of dealing with the growing risks could be<br />

enhanced for a longer duration. The hypothesis is that the redundancy can enhance the plan’s<br />

9<br />

Figure 3<br />

Figure 4


obustness in dealing with climate change related uncertainties especially the extreme events as<br />

climate change was suggested to influence the tails of weather distributions if a significant shift in<br />

the means is to be expected (Burton, 1997).<br />

The amount of redundancy a disaster risk management plan could incorporate depends on<br />

various factors such as the rate at which risks are assumed to grow <strong>and</strong> availability of financial,<br />

human <strong>and</strong> technological resources since incorporation of redundancy means additional dem<strong>and</strong><br />

for these resources. A close observation of global <strong>and</strong> regional projections of climate change may<br />

help in deciding the redundancy one may want to incorporate at the local level though such<br />

incorporations are solely qualitative decisions <strong>and</strong> pose the risk of being questioned for the<br />

decisions taken at a later point of time. Such decisions may be widely supported when the<br />

disaster risk management planning addresses some critical sectors. Redundancy can bring lots of<br />

benefits to the plan <strong>and</strong> disaster risk managers. Added redundancy means lesser frequent<br />

revisions <strong>and</strong> updating of the plans, more reliability, <strong>and</strong> effectiveness leading to sustainable risk<br />

reduction. However, one need to be cautious in overweighing this option in policy decisions as a<br />

balanced approach was called for (Kates, 2000). In the next section, we provided a simple scheme<br />

that facilitates decisions like these in the context of climate change.<br />

2. A scheme for incorporating climate change<br />

concerns in disaster risk management<br />

planning<br />

One of the best ways to mainstream climate change concerns in disaster risk management<br />

planning is to underst<strong>and</strong> current <strong>and</strong> future possible impacts <strong>and</strong> address them in developmental<br />

<strong>and</strong> risk reduction planning. For this, one need to look at a range of climate scenarios generated<br />

<strong>and</strong> overlay them with future socio-economic scenarios to obtain future risks (Jones <strong>and</strong> Mearns,<br />

2005). However, there are limitations such as lack of availability of dependable high-resolution<br />

10<br />

Figure 5


climate change scenarios <strong>and</strong> unaddressed uncertainties even in best available scenarios <strong>and</strong><br />

projections (Burton, 1999; Jones, 2000). Hence, there is a need to look for alternative means of<br />

addressing uncertain climate risks. One of the ways suggested was to identify no-regret or win-<br />

win options as these options would hold good over a range of climate change scenarios in<br />

reducing the vulnerabilities (Smit et al, 1996; Klien <strong>and</strong> Maciver, 1999; Wheaton <strong>and</strong> Maciver,<br />

1999; Lomborg, 2007). Some authors have suggested better preparedness as important (Bruce et<br />

al, 1999; Smit <strong>and</strong> Pilifosova, 2001; Helmer, 2006). Also, questions often arise on how different<br />

<strong>and</strong> how better the preparedness should be from the preparedness which has been advised by<br />

many disaster management professionals (Paton et al, 2003). In addition to these challenges, the<br />

media coverage on climate change has been on rise though in a cyclical fashion (McComas, 1999;<br />

Fortner et al, 2000; Shanahan, 2000). As a result, public interest <strong>and</strong> perception of climate change<br />

has been influenced including raising anxieties on extreme events (Trumbo, 1999; Leiserowitz,<br />

2005). Hence, it would be in the interest of disaster risk managers to know implications of<br />

climate change for their region in general <strong>and</strong> on how they can deal with such impacts in<br />

particular so as to either alley such extreme fears of climate change impacts or to design for a<br />

better preparedness.<br />

The ‘UNDP Adaptation Policy Frameworks (APF) for <strong>Climate</strong> <strong>Change</strong>’ <strong>and</strong> ‘UK <strong>Climate</strong><br />

Impacts Program <strong>Climate</strong> adaptation: <strong>Risk</strong>, uncertainty <strong>and</strong> Decision-making Framework’<br />

provide ample ground for adaptation policy makers for taking adaptation decisions (Willows <strong>and</strong><br />

Connell, 2003; Lim <strong>and</strong> Spanger-Siegfried, 2005). These frameworks could be used in disaster<br />

risk management planning as well. However, we could not find suitable example to cite a disaster<br />

risk management planning process that drew from these advancements. While the UNDP APF is<br />

considered as more elaborate <strong>and</strong> complex process aimed at policy makers <strong>and</strong> project<br />

formulators, the UK CIP decision framework is simpler <strong>and</strong> covers broadly the uncertainty that<br />

one may face while taking decisions related to those sectors which are impacted by climate<br />

change. We presented the comparison of both the frameworks in Table 1. However, both<br />

frameworks cannot be used by the local level disaster risk management personnel <strong>and</strong> policy<br />

makers who often do not have access to information as well as tools necessary to implement<br />

11<br />

Table 1


such elaborate frameworks. This calls for a simpler framework, which could go as a subset of<br />

these sophisticated frameworks, for local level disaster managers <strong>and</strong> policy making personnel. In<br />

this section, we provided a simple framework for mainstreaming climate change concerns in local<br />

level disaster risk management process.<br />

We propose that, for any mainstreaming to happen, it is important for the local disaster risk<br />

managers <strong>and</strong> other stakeholders to underst<strong>and</strong> what national <strong>and</strong> regional climate change<br />

assessments mean for the scales at which these personnel operate. Because these personnel work<br />

at local scale (city, group of villages etc) <strong>and</strong> often lack the perspective of climate <strong>and</strong> long-term<br />

implications of climate change, it is essential that a local <strong>Climate</strong> Task Group (CTG) is<br />

established. The CTG should consist of personnel from disaster risk management, climate <strong>and</strong><br />

atmospheric <strong>and</strong> policy making domains (O’Brien et al, 2006). Such a group is necessary as the<br />

disaster management personnel alone cannot obtain <strong>and</strong> infer the often challenging climate<br />

information available from global <strong>and</strong> regional climate change studies <strong>and</strong> reports. However, the<br />

required personnel may not always be available at the administrative scale under consideration<br />

(e.g. small <strong>and</strong> medium cities <strong>and</strong> institutions). Under those circumstances, cross-scale<br />

collaboration becomes necessary. There may be similar groups existing for monitoring drought<br />

or flood conditions, similar to the Drought Monitoring Center established in Karnataka State of<br />

India or Flood Management Boards in Vietnam which are provided with capacities to assess <strong>and</strong><br />

monitor local drought <strong>and</strong> flood situations (Imamura <strong>and</strong> To, 1997; Samra, 2004). These Centers<br />

<strong>and</strong> Boards could form a good beginning as they have capacities such as data processing that are<br />

relevant for the operation of CTG. In addition to its role in disaster risk reduction planning, the<br />

CTG can also play a vital role in integrating disaster <strong>and</strong> climate risk reduction aspects in<br />

developmental planning as well. For example, the representative of CTG could be a member in<br />

local level development committees similar to the District Development Committees <strong>and</strong> Village<br />

Watershed Committees established in India. Such integration would enable free flow of<br />

information.<br />

The next step is to identify the region’s vulnerabilities <strong>and</strong> how climate change may influence<br />

those vulnerabilities (Thomalla et al, 2006). This brings the crucial need for identification of<br />

12


climate change impacts in a region which are currently available at global <strong>and</strong> regional scales.<br />

Often, such assessments are not reliable for taking concrete decisions those will have local long-<br />

term financial <strong>and</strong> social implications. Hence, a structured but simple decision making scheme is<br />

required to support the local level decision making process. A simple scheme has been presented<br />

in Figure 6. Please note that the scheme can only direct one to qualitatively assess the possible<br />

climate change impacts <strong>and</strong> it is beyond its jurisdiction to quantify impacts.<br />

The regional climate change impacts <strong>and</strong> projections may be obtained from agencies such as<br />

Project Management Cells established by national governments, usually under the aegis of<br />

Ministry of Environment, which are assigned with the responsibility of producing National<br />

Adaptation Programme of Action (NAPA, for Least Developed Countries) or National<br />

Communications submitted to UNFCCC (both Annex I <strong>and</strong> Non-Annex I parties) depending on<br />

the country under question. These reports state the existing knowledge on climate change<br />

impacts <strong>and</strong> the mitigation <strong>and</strong> adaptation programs implemented by the governments to deal<br />

with the climate change. Digging down from these national <strong>and</strong> regional reports, one could also<br />

obtain information from specific reports interfacing scientific <strong>and</strong> policy realms produced by the<br />

national <strong>and</strong> regional institutions. This all may seem to be an up-hill task for a local level disaster<br />

risk manager as availability of such information is scanty <strong>and</strong> daunting. However, it will be easy<br />

for the CTG as it has a group of experts who have better underst<strong>and</strong>ing on the subject.<br />

Once national <strong>and</strong> regional projections are obtained, a one- or two-day brainstorming session<br />

may be useful to list all those impacts the location under question may experience. While<br />

identifying these specific impacts, careful consideration may be given to the specific<br />

circumstances or characteristics the location may have. These special circumstances could include<br />

strengths such as vicinity to perennial water sources, soil types those could reduce the drought<br />

impacts, better natural drainage that could avoid inundation of water for long duration etc <strong>and</strong><br />

vulnerabilities such as deeper water tables, poor drainage conditions, lack of irrigation facilities<br />

etc. By such consideration, one will be able to discern whether or not observed <strong>and</strong> projected<br />

impacts stay valid to the region in question in entirety or in part. This is also the stage where<br />

questions related to how a particular impact translates into disaster risk management. For this,<br />

13<br />

Figure 6<br />

Figure 7


identification of what is called ‘coupling points’ is necessary. The Figure 7 depicts various stages<br />

involved in disaster risk management <strong>and</strong> ‘coupling points’ where climate change may have<br />

influence. It can be seen that almost all stages of disaster risk management cycle could be targeted<br />

to mainstream the climate change concerns.<br />

The discussants could ask certain questions in order to identify the above coupling points. The<br />

Table 2 presents various questions one could ask while identifying the coupling points. These<br />

questions enable various functionaries to identify climate change as a factor while planning for<br />

interventions. Once local impacts are identified <strong>and</strong> all the stakeholders agree upon them, it is<br />

time to classify them according to short-term <strong>and</strong> long-term impacts <strong>and</strong> identify appropriate risk<br />

reduction measures. Consultation process could also include identification of resources required<br />

such as capacity building needed to h<strong>and</strong>le the new interventions, finances required <strong>and</strong> its source<br />

<strong>and</strong> threats due to the decisions made under uncertainty. It is important for the so drafted<br />

strategy to explicitly acknowledge the uncertainty with which the decisions were made.<br />

3. Factors to be considered for mainstreaming<br />

In this section, we discussed various factors to be considered for achieving satisfactory realization<br />

of the above presented scheme. We divided the factors into uncertainty in climate change risk,<br />

capacity limitations, perception <strong>and</strong> awareness limitations, <strong>and</strong> economic limitations.<br />

3.1. Uncertainty in climate change risk<br />

One of the important limitations in implementing the above suggested scheme is uncertainty in<br />

projected climate impacts itself. Global Circulation Models (GCMs) are considered to be too<br />

course resolution <strong>and</strong> hence are not sufficient for decision making for adaptation (Prudhomme et<br />

al, 2003). Hence, employment of techniques such as regional circulation models has come into<br />

vogue. However, there are limitations with downscaling too (Wilby, 2002). One of the major<br />

bottlenecks limiting decision making based on these techniques is the unaddressed uncertainty of<br />

climate change (Tol, 2003; Webster et al, 2003; Forest et al, 2004; Lempert et al, 2004; Trenberth,<br />

14<br />

Table 2


2005). Predictions are uncertain because of unknown future concentrations of greenhouse gases<br />

<strong>and</strong> other anthropogenic <strong>and</strong> natural forcing agents (e.g. injections of stratospheric aerosol from<br />

explosive volcanic eruptions), because of natural (unforced) climate variations <strong>and</strong> because our<br />

models which we use to make predictions are imperfect (Collins et al, 2006). Heal <strong>and</strong> Kristrom<br />

(2002) provided a comprehensive review of sources of uncertainty in climate change. Questions<br />

were also raised on the amount of certainty required in climate change projections to justify<br />

investments in adaptation measures <strong>and</strong> whether such certainty can be delivered (Dessai <strong>and</strong><br />

Hulme, 2007). Various techniques have been identified to quantify the uncertainty <strong>and</strong><br />

probabilistic climate scenarios were tried with certain degree of success (Katz, 2002; Hulme et al,<br />

2002). Employing probabilistic climate scenarios too found to misrepresent uncertainty (Hall,<br />

2007). Hence, two separate groups suggesting ‘wait <strong>and</strong> watch’ <strong>and</strong> ‘precautionary principles’<br />

have emerged (Baker, 2005). According to Baker (2005), finding a mid-way between these groups<br />

gained importance as one can expect to resolve much of the uncertainty in the next 100 years.<br />

Other alternative approaches suggested include better characterizing the uncertainty while<br />

communicating with policy makers <strong>and</strong> adapting appropriate means of communicating<br />

uncertainty to policy makers, which include consideration for the mismatch between the rigid<br />

framework of probability <strong>and</strong> peoples’ intuitive use of language (Lempert et al, 2004; Patt <strong>and</strong><br />

Dessai, 2005). While addressing the issue of disaster risk management in a changed climate,<br />

Comfort (2005) suggested building networks of organizations committed to a process of<br />

continual inquiry, informed action, <strong>and</strong> adaptive learning as a more flexible <strong>and</strong> robust strategy<br />

than the st<strong>and</strong>ard practice of establishing greater control over possible threats through<br />

administrative structures.<br />

3.2. Capacity limitations<br />

The uncertain nature of climate change has lead to greater need for capacity enhancement. In the<br />

context of the climate change, capacity considerations include adaptive capacity to increasing<br />

threats of climate change. This refers to potential <strong>and</strong> capacity to improve to a higher state in<br />

order to face the impacts of climate change (Brooks <strong>and</strong> Adger, 2004). Efforts have been made<br />

15


to explain the concept of adaptation <strong>and</strong> adaptive capacity (Burton et al, 2002). In general, the<br />

improvement in adaptive capacity refers to either increment in financial resources, reduction in<br />

poverty, provision of diversified income sources, better governance, social <strong>and</strong> political capital<br />

<strong>and</strong> even equitable flow of resources etc (Smithers <strong>and</strong> Smit, 1997; Yohe <strong>and</strong> Tol, 2001).<br />

Capacity building has been the integral part of various disaster risk management programs<br />

worldwide (Alex<strong>and</strong>er, 1997; Benson et al, 2001; Rocha <strong>and</strong> Christoplos, 2001). The usual topics<br />

covered in such programs are disaster risk management planning, rescue <strong>and</strong> evacuation planning,<br />

relief planning, emergency communication, fire fighting, conducting risk <strong>and</strong> vulnerability<br />

assessments, hazard <strong>and</strong> vulnerability mapping, disaster risk mitigation systems etc. Some times,<br />

these programs also include the role of different stakeholders <strong>and</strong> achieving coordination among<br />

them in disaster risk reduction (Lynne et al, 1997; Seth <strong>and</strong> Jain, 2002). Involvement of<br />

communities in disaster risk management <strong>and</strong> planning has been considered a necessity owing to<br />

the capacities <strong>and</strong> knowledge that the communities possess those could be of use in effective<br />

disaster risk reduction (Yodmani, 2001; Pearce, 2003; Allen, 2006). There is a need to enhance<br />

the existing capacities in order to deal with the future disasters <strong>and</strong> increasing uncertainty<br />

(Coutney et al, 1997; Shook, 1997). Experiences have suggested that the existing capacities are<br />

not sufficient even to deal with the current level of disasters <strong>and</strong> that the disaster intensities<br />

would only increase in future (Burton et al, 2002; McEntire et al, 2002; Sperling <strong>and</strong> Szekely,<br />

2005). Consideration of future vulnerabilities is important in order to design effective capacity<br />

building programs as the current <strong>and</strong> future vulnerabilities differ in the context of climate change<br />

(Brooks, 2003).<br />

Capacities are of different kinds <strong>and</strong> different stakeholders need to asses their capacities in order<br />

to deal with the climate change related risks (Adgers et al, 2005). In the context of climate change<br />

<strong>and</strong> disaster management, capacities refer to institutional, technological, economic <strong>and</strong> social<br />

capacities to plan <strong>and</strong> implement programs of change that could reduce the vulnerabilities <strong>and</strong><br />

increase the capacities of communities. Capacity needs could include simple aspects such as<br />

mutual underst<strong>and</strong>ing on the terminology used by climate change <strong>and</strong> disaster risk management<br />

personnel. Often, it required to make a clear distinction for the meaning of the word ‘mitigation’<br />

16


used in climate change <strong>and</strong> disaster management communities to avoid miscommunication <strong>and</strong><br />

misconceptions (Newton et al, 2005). Similar confusion on the word ‘mitigation’ was reported<br />

among the Canadian policy makers (Newton, 1997). Hence, appropriate education is required to<br />

facilitate an effective communication among the climate change <strong>and</strong> disaster risk reduction<br />

communities. St<strong>and</strong>ardization of terminology at a global scale should also solve this problem to a<br />

certain extent. This necessitates mapping different capacities required at the local level in order to<br />

deal with the threats from the changing climate. Table 3 provides a list of capacities suggested in<br />

the literature for an effective climate risk reduction.<br />

3.3. Perception <strong>and</strong> awareness limitations<br />

Perception can be viewed as a process of transforming inputs (e.g. flood warning) to out put (e.g.<br />

public mitigation response) (Burn, 1999). People who perceive that they are vulnerable are more<br />

likely to respond to warnings <strong>and</strong> undertake protective measures (Michael <strong>and</strong> Fasil, 2001). Thus,<br />

underst<strong>and</strong>ing how people will perceive the risks communicated to them will influence how<br />

effective a risk management measure will be. Creation of appropriate perception was found to be<br />

important for devising <strong>and</strong> implementing suitable policy interventions. The importance of risk<br />

perception in shaping people’s behavior <strong>and</strong> disaster management planning is affirmed in several<br />

studies. For instance, Slovic (1987) emphasized the role of risk perception by indicating that the<br />

public relies on risk perception to evaluate hazard situation. Some studies tried to emphasize the<br />

importance of risk perception both in design <strong>and</strong> operationalization of flood management (e.g.,<br />

Michael <strong>and</strong> Fasil, 2001). Similarly, Weber identified public perception <strong>and</strong> expectations of<br />

climate change as important preconditions for technological <strong>and</strong> economic adaptation to climate<br />

change (Weber, 1997).<br />

There are few studies on perception of communities <strong>and</strong> policy makers about climate change <strong>and</strong><br />

about actions to mitigate the same. The studies on perception of global climate change conducted<br />

in the Swedish town of Umeå (Lofstedt, 1991) <strong>and</strong> United States of America (Leiserowitz, 2006)<br />

revealed the belief of the residents about temperatures becoming warmer. However, very few<br />

interviewees perceived link between global climate change <strong>and</strong> the energy use (Lofstedt, 1991) or<br />

17<br />

Table 3


their perceptions were influenced by the psychological <strong>and</strong> socio-cultural factors (Leiserowitz,<br />

2006; Stedman, 2004). The Swedish survey also revealed confusion among the respondents<br />

between climate change <strong>and</strong> ozone layer depletion. Such lack of perceptions could lead to failure<br />

in any policy response that involves residents. For example, any restriction on energy<br />

consumption on grounds of climate change could have lead to lack of support. However,<br />

Gossling (2002) argued that the increased education on environment <strong>and</strong> better perceptions may<br />

not always lead to better environmental preservation. He reasoned that the personal<br />

environmental behaviour of environmental tourists may be characterized by increased resource<br />

consumption <strong>and</strong> preferences (Gossling, 2002).<br />

Environmental managers of public <strong>and</strong> private sector organizations play an important role in<br />

directing business <strong>and</strong> organizational decisions in directing resources to environmental<br />

preservation. It is important that these managers not only able to see the environment as a<br />

problem needing common action but also willing to direct organizational efforts in effective<br />

tackling of these problems (Hill et al, 2006). In this context, the environmental managers are<br />

found to be more aware about the global environmental problems than non-environmental<br />

managers. The decisions of environmental managers in dealing with environmental problems<br />

seems to be influenced by how seriously they view the threat <strong>and</strong> how appealing or attractive the<br />

potential response strategy appears which could lead to four kinds of actions such as meaningful<br />

action, precautionary action, symbolic action <strong>and</strong> no action.<br />

The nature of climate change is such that it is invisible to many as an entity as it can only be<br />

identified through some ‘proxy’ indicators such as ‘change in temperatures’ <strong>and</strong> ‘change in rainfall<br />

intensities’ or ‘increasing extreme events’. Often the degree of change could have important<br />

bearing on how perceptions are formed. For example, the change in a given geographical location<br />

may be perceived insignificant in short run but such changes may have compounding impacts<br />

which are significant in the long run. This very nature of climate change makes it difficult to<br />

create uniform perception across all communities. In a study conducted by the authors<br />

(Unpublished), it was revealed that the old members of community are more likely to perceive<br />

changes than young members. The difficulty to form appropriate perception of climate change<br />

18


may also be due to lack of uniformity in the impacts across geographical <strong>and</strong> time scales. Added<br />

to this is the unpredictable nature of the climate change. The unpredictability of climate has lead<br />

to lack of trust among respondents to forecasts leading to poor response in many situations. Such<br />

a poor response to weather forecasts has been cited in literature (Patt, 2001; Patt <strong>and</strong> Gwata,<br />

2002). Patt <strong>and</strong> Gwata (2002), while examining the constraints in effective seasonal climate<br />

forecast applications, identified six constraints limiting the usefulness of climate forecasts. They<br />

are credibility, legitimacy, scale, cognitive capacity, procedural <strong>and</strong> institutional barriers, <strong>and</strong><br />

available choices. According to them, these problems arise due to making forecasts in<br />

probabilistic sense rather than deterministic, when forecasts help only a group of stakeholders<br />

benefited in a preferential manner, inability to downscale the forecasts that would also enhance<br />

the accuracy of the forecast, dissemination of forecast information in a format that is not well<br />

understood by many due to use of highly technical jargon, when st<strong>and</strong>ard operating procedures<br />

st<strong>and</strong> in the way of using the new information which makes it too delayed such that the end users<br />

find it useless, <strong>and</strong> finally the choices that ultimate stakeholders make are enormous which may<br />

not always be supported by such forecasts. We believe that the climate change information<br />

should avoid all these constraints in order to be effective in decision making.<br />

A study by Oxfam-Vietnam <strong>and</strong> Kyoto University revealed that the communities have difficulty<br />

to express what climate constitutes <strong>and</strong> that it is difficult for them to explain the concept of<br />

climate as different from weather phenomenon which has been used for planning agricultural<br />

operations on daily basis (Oxfam-Vietnam, 2007). It appears that communities didn’t have a<br />

suitable word in their local languages that readily represents climate or its change. However, the<br />

respondents were able to identify changes in climate as more attributed to changes in weather<br />

parameters such as temperatures <strong>and</strong> rainfall over the period that they could remember. They<br />

attributed such changes to reduction in forest cover than any thing else. The respondents<br />

believed that the actions of ‘other communities’ at ‘other location’ were more responsible for<br />

changes <strong>and</strong> they couldn’t identify any bad management practice within their community which<br />

might have contributed to the global problem. These findings are in line with the findings<br />

elsewhere that the communities are aware about changes in climate but are flawed in terms of<br />

19


why (causes) such a change is happening (McDaniels et al, 1996; Kempton, 1997). The<br />

explanation could be lack of knowledge regarding the link between causes <strong>and</strong> consequences, the<br />

cumulative nature of the causes, trading off risks <strong>and</strong> benefits, <strong>and</strong>/or causes involve familiar<br />

technologies (Hill <strong>and</strong> Thompson, 2006). We believe that it may be difficult for communities to<br />

consider climate as a factor in the local level risk mitigation planning due to the time scales<br />

involved <strong>and</strong> need for addressing the immediate concerns such as education, health <strong>and</strong><br />

livelihoods. Appropriate education <strong>and</strong> awareness schemes may bring needed change in<br />

community perceptions. This change could also be brought by participatory methodologies.<br />

Globally, participatory planning in development has become a major strategy in affecting<br />

sustainable development. This has roots from the need for bottom-up approaches when the top-<br />

down approaches failed to achieve the goals of policies <strong>and</strong> plans. One of the limitations of top-<br />

down policy making approaches is no or poor consideration of priorities of people who are<br />

affected by the same policies. Hence, a gradual shift could be seen from top down to bottom-up<br />

approaches leading to a holistic approach (Dessai et al, 2004). With climate change impacts<br />

increasingly becoming evident globally, the participatory planning process gains even more<br />

importance for implementing disaster risk management programs as community participation<br />

was called for shaping perceptions <strong>and</strong> for an effective climate risk reduction (Yamin et al, 2005;<br />

Chen et al, 2006; O’Brien et al, 2006; Khan <strong>and</strong> Rahman, 2007). However, it has been cautioned<br />

that such participatory methodologies may put excessive pressure on communities by trying to<br />

address such issues which have less jurisdiction with communities (Allen, 2006). Hence,<br />

empowering local communities was suggested such that the decisions taken at their level are<br />

implemented to the fullest satisfaction <strong>and</strong> effectiveness in the context of climate change.<br />

3.4. Economic limitations<br />

In the Article 3, Para 3 of the United Nations Framework Convention on <strong>Climate</strong> <strong>Change</strong><br />

(UNFCC) it is stated that the “…lack of full scientific certainty should not be used as a reason<br />

for postponing such measures, taking into account that policies <strong>and</strong> measures to deal with climate<br />

change should be cost-effective so as to ensure global benefits at the lowest possible cost (United<br />

20


Nations, 1992).” Though this statement sounds more appropriate for climate change mitigation,<br />

it equally holds good for adaptation as well. Cost-effectiveness has been considered as one of the<br />

important tools by policy makers for making investment decisions (Detsky, 1996). Investments in<br />

climate adaptation too fall in the similar category since we understood that climate change has<br />

economic implications as well (Toll et al, 2000).<br />

From the perspective of economists, climate change is sometimes viewed as new <strong>and</strong> untested<br />

hypothesis (Howarth <strong>and</strong> Hall, 2001). Economists showed interest on economics of global<br />

climate change <strong>and</strong> its impacts with major thrust on estimates of costs <strong>and</strong> benefits of GHG<br />

emissions <strong>and</strong> its abatements. Application of welfare economics, as a rule rather than exception,<br />

<strong>and</strong> employing complex models that integrate climate <strong>and</strong> economies have been used in these<br />

assessments (Nodhuas, 1994). Though, there has been tremendous improvement in the way<br />

economists approach the problem of climate change adaptation especially in the light of Stern<br />

Review (Fankhauser, 2006; Stern, 2006; Callaway <strong>and</strong> Hellmuth, 2006; Milne, 2006), the<br />

economic assessments are still in nascent phase in assessing the climate change implications for<br />

disaster risk management. It is now possible to arrive at broad calculations on economic<br />

implications of climate change adaptation in terms of % of GDP. The crux of the problem seems<br />

to lie in underst<strong>and</strong>ing the uncertainty of future impacts on human <strong>and</strong> natural systems, which<br />

form the basis for investments on the adaptation programs. Hence, it was suggested to take into<br />

consideration the win-win options as they tend to be valid under broad range of circumstances<br />

<strong>and</strong> hence have low cost of bad decision (Fankhauser, 2006).<br />

Though the Kyoto Protocol is heavily based on mitigation approach, globally it has been<br />

accepted that the adaptation also need to be considered along with the mitigation <strong>and</strong> policy<br />

makers do underst<strong>and</strong> <strong>and</strong> agree that the adaptation efforts would affect the mitigation targets<br />

(Kane <strong>and</strong> Shogren, 2000). Kane <strong>and</strong> Shogren (2000) also argued that the society can select any<br />

combination of risk avoidance systems among mitigation <strong>and</strong> adaptation <strong>and</strong> such decisions<br />

affects the level of risks <strong>and</strong> the costs of risk reduction. Cost-effectiveness has been found to be<br />

crucial factor in climate change. They further stated that the risk reduction efforts of people are<br />

21


affected by the economic circumstances <strong>and</strong> hence the economic circumstances must be taken<br />

into consideration while making risk reduction recommendations.<br />

Establishing climate change-proof disaster risk management mechanism is a form of anticipatory<br />

adaptation mechanism. It is logical for governments to have such investments as they may have<br />

to pay heavy price if further delayed or are done after the impacts were felt. Policy considerations<br />

for anticipatory adaptation are yet to be seen in many countries. Very few available examples in<br />

this area are the recommendations of the Public Advisory Forum of the American Water Works<br />

Association (AWWA) which called all the water management professionals for review of design<br />

assumptions, practices <strong>and</strong> contingency planning (Public Advisory Forum, 1997). Some of these<br />

recommendations include both structural <strong>and</strong> non-structural measures. Economic implications of<br />

anticipatory adaptation in disaster risk management are a major deterrent to adaptation itself for<br />

many developing <strong>and</strong> underdeveloped countries. Haddad <strong>and</strong> Merrit (2001) described that the<br />

least cost approaches may not work in deciding suitable climate change adaptation mechanisms<br />

as yet times the outputs of public negotiations may not consider cost implications; for example,<br />

when it comes to deciding between the priorities of a water storage structure for flood control<br />

<strong>and</strong> reliable water supply. Hill <strong>and</strong> Thompson (2006) reported difference of opinion between<br />

environmental managers <strong>and</strong> non-environmental managers about the need to integrate<br />

environmental <strong>and</strong> economic goals in a “win-win” combination. If we consider the opinion of<br />

non-environmental managers as that of those representing the ‘lay men’, it makes sense that the<br />

lay people place least importance for economic solutions or those solutions that are going to<br />

‘cost’ to them in some form. Significant studies are available for adaptation in agriculture which is<br />

one of the climate vulnerable sectors. These studies consider farmers either as ‘dumb’ or<br />

‘intelligent’ in the point of adaptation to climate related impacts <strong>and</strong> study how they adapt to it<br />

(Schneider et al, 2000). Comparing societies on the scale of adaptation readiness <strong>and</strong> adaptation<br />

capacities will be an interesting contribution to the disaster risk reduction. Such a comparison is<br />

challenged by number of limitations such as absence of baseline information, different disaster<br />

profiles <strong>and</strong> underlying needs, <strong>and</strong> even differential developmental contexts.<br />

22


4. Conclusion<br />

In this article, we argued the need for a change in existing disaster risk reduction practices <strong>and</strong><br />

presented a scheme <strong>and</strong> discussed its limitations for mainstreaming climate change concerns in<br />

existing disaster risk reduction systems. We could see that there exist an opportunity to initiate<br />

actions for mainstreaming climate change related concerns in the existing disaster risk reduction<br />

practices. We argued that such mainstreaming should be initiated with capacity building of local<br />

disaster risk management personnel <strong>and</strong> policy makers such that they appreciate the linkage<br />

between climate change <strong>and</strong> disasters while inculcating the culture of strategic thinking. Strategic<br />

thinking could further open up new avenues for further addressing the problem of climate<br />

change risk reduction. Similarly, the process of communicating uncertainty to policy makers gains<br />

importance in decision making. Capacity building programs should incorporate suitable modules<br />

those will help the policy makers <strong>and</strong> disaster risk management personnel to gain skills in<br />

planning under uncertainty. Another important aspect to be considered while pushing the agenda<br />

of mainstreaming is developing appropriate tools <strong>and</strong> techniques that help the local level players<br />

to identify <strong>and</strong> appreciate the role of climate change in their own vicinity. This is only possible<br />

through a study on past climate disasters/impacts across the country that identifies the ‘loci’ or<br />

‘hotspots’ of climate change impacts where the impacts could be clearly discerned from the<br />

available past climate records. These results could then be built into simple case studies <strong>and</strong> time<br />

series of art diagrams showing, for example, the gradual impacts of climate change on local flora<br />

<strong>and</strong> fauna or changing flood heights or frequencies etc that can be widely distributed among the<br />

disaster risk management personnel <strong>and</strong> policy makers. These case studies should also bring out<br />

the characteristics of these regions that made them vulnerable to climate change impacts. This<br />

would not only facilitate players active in <strong>and</strong> near the ‘loci’ or ‘hotspots’ in designing climate-<br />

proof disaster risk reduction planning, but also help others to underst<strong>and</strong> vulnerabilities of their<br />

location. This would in turn help them to ‘qualitatively’ downscale the regional broad scenarios<br />

available. In order this to happen, there is a need to move away from the attitude of considering<br />

local level stakeholders as ‘implementers’ to ‘innovators’ who are continuously learning <strong>and</strong><br />

23


evolving. We believe that the scheme presented in this paper helps in realizing learning <strong>and</strong><br />

evolving group of community that will be ready to absorb <strong>and</strong> address uncertainty in decision<br />

making in local risk reduction.<br />

Acknowledgements<br />

The work published in this paper was supported by the Japanese Society for Promotion of<br />

Science (JSPS) through Postdoctoral Fellowship <strong>and</strong> research grant to the primary author at<br />

Kyoto University. We acknowledge the stimulating discussions with Prof Ian Davis, Affiliate<br />

Professor, Oxford Books University that helped us enrich the preliminary draft. We also<br />

acknowledge learning experience of working with diverse stakeholders including Oxfam-Vietnam,<br />

IFRC Regional Delegation in South Asia, <strong>and</strong> local governments in Japan <strong>and</strong> India that helped<br />

us in enriching our underst<strong>and</strong>ing in this subject.<br />

5. References<br />

Adger WN (1999) Social vulnerability to climate change <strong>and</strong> extremes in coastal Vietnam. World<br />

Development 27, 249-269<br />

Adger WN, Arnell NW, Tompkins EL (2005) Successful adaptation to climate change across<br />

scales. Global Environmental <strong>Change</strong> 17:77-86<br />

Adger WN, Huq S, Brown K, Conway D, Hulme M (2003) Adaptation to climate change in the<br />

developing world. Progress in Development Studies 3(3):179-195<br />

Alast MK (2006) The impacts of climate change on the risk of natural disasters. <strong>Disaster</strong>s 30(1):5-<br />

18<br />

Alex<strong>and</strong>er D (1997) The Study of Natural <strong>Disaster</strong>s, 1977–1997: Some Reflections on a Changing Field of<br />

Knowledge. <strong>Disaster</strong>s 21(4):284–304<br />

Allen KM (2006) Community-based disaster preparedness <strong>and</strong> climate adaptation: <strong>Local</strong> capacity<br />

building in the Philippines. <strong>Disaster</strong>s 30(1):81-101<br />

24


Allen MR, Ingram WJ. (2002) Constraints on future changes in climate <strong>and</strong> hydrological cycle.<br />

Nature 419:224-232<br />

Allen, KM (2006) Community-based disaster preparedness <strong>and</strong> climate adaptation: local capacity<br />

building in the Philippines. <strong>Disaster</strong>s 30(1):81-101<br />

Alley RB, Marotzke J, Nordhaus WD, Overpeck JT, Peteet DM, Pielke Jr RA, Pierrehumbert RT,<br />

Rhines PB, Stocker TF, Talley LD, Wallace JM (2003) Abrupt climate change. Science<br />

299(5615):2005-2010<br />

Anthes RA, Corell RW, Holl<strong>and</strong> G, Hurrell JW (2006) Hurricanes <strong>and</strong> global warming-Potential<br />

linkages <strong>and</strong> consequences. Bulletin of American Meteorological Society 87:623–628<br />

Asian Economic News (2005) Major natural disasters of 2004. Asian Economic News. January<br />

18, 2005. http://www.findarticles.com/p/articles/mi_m0WDP/is_2005_Jan_18/ai_n8704072.<br />

Cited March 8, 2007<br />

Baker E (2005) Uncertainty <strong>and</strong> learning in a strategic environment: Global climate change.<br />

Resource <strong>and</strong> Energy Economics 27:19-40<br />

Barnett J (2001) Adapting to climate change in pacific isl<strong>and</strong> countries: The problem of<br />

uncertainty. World Development 29(6):977-993<br />

Bender S (1991) Primer on Natural Hazard Management in Integrated Regional Development <strong>Planning</strong>.<br />

Organization of American States, Department of Regional Development <strong>and</strong> Environment, Executive<br />

Secretariat for Economic <strong>and</strong> Social Affairs, Washington, D.C<br />

Benson C, Twigg J, Myers M (2001) NGO Initiatives in <strong>Risk</strong> <strong>Reduction</strong>: An Overview.<br />

<strong>Disaster</strong>s.25(3):199–215<br />

Bohannon J, Enserink M (2005) Scientists Weigh Options for Rebuilding New Orleans. Science 309<br />

(5742):1808-1809<br />

Boulle P, Vrolijks L, Palm E (1997) Vulnerability reduction for sustainable urban development.<br />

Journal of Contingencies <strong>and</strong> Crisis Management 5(3):179-188<br />

25


Brooks N (2003) Vulnerability, risk <strong>and</strong> adaptation: A conceptual framework. Tyndall Center for<br />

<strong>Climate</strong> <strong>Change</strong> Research, Working Paper 38, pp16<br />

Brooks N, Adger WN (2004) Assessing <strong>and</strong> enhancing adaptive capacity. In: L.B. Lim, Editor,<br />

Adaptation Policy Framework, United Nations Development Programme, New York<br />

Bruce JP, Burton I, Egener IDM (1999) <strong>Disaster</strong> mitigation <strong>and</strong> preparedness in a changing<br />

climate. A synthesis paper prepared for Emergency Preparedness Canada. Global <strong>Change</strong><br />

Strategies International, Canada, pp38<br />

Burn DH (1999) Perception of flood risk: A case study of the Red River flood of 1997, Water<br />

Resources Research 35 (11):3451-3458<br />

Burton I (1997) Vulnerability <strong>and</strong> adaptive response in the context of climate <strong>and</strong> climate change.<br />

Climatic <strong>Change</strong> 36(1-2):185-196<br />

Burton I, Huq S, Lim B, Pilifosova O, Schipper EL (2002) From impact assessment to<br />

adaptation priorities: The shaping of adaptation policy. <strong>Climate</strong> Policy 2:145-159<br />

Callaway M (2006) <strong>Climate</strong> risk management for development: Economic considerations. Supporting<br />

research commissioned as part of the Stern Review. http://www.hm-<br />

treasury.gov.uk/independent_reviews/stern_review_economics_climate_change/stern_review<br />

_supporting_documents.cfm. Cited 24 April 2008<br />

Cardona OM (2004) The need for rethinking the concepts of vulnerability <strong>and</strong> risk from a holistic<br />

perspective: a necessary review <strong>and</strong> criticism for effective risk management. In: Bankoff G, Frerks G,<br />

Hilhorst D (eds) Mapping vulnerability: disasters, development, <strong>and</strong> people. Earthscan Publications,<br />

London, 37-51<br />

Chen LC, Liu YC, Chan KC (2006) Integrated Community-based disaster management program<br />

in Taiwan: A case study of Shang-An village. Natural Hazards 37:209-223<br />

Christoplos I, Mitchell J, Liljelund A (2001) Re-framing risk: The changing context of disaster<br />

mitigation <strong>and</strong> preparedness. <strong>Disaster</strong> 25(3):185-198<br />

26


Collins M, Booth BBB, Harris GR, Murphy JM, Sexton DMH, Webb MJ (2006) <strong>Climate</strong><br />

Dynamics 27:127-147<br />

Comfort LK (2005) <strong>Risk</strong>, security, <strong>and</strong> disaster management. Annual Review of Political Science<br />

8:335-356<br />

Courtney H, Kirkl<strong>and</strong> J <strong>and</strong> Viguerie P (1997) Strategy under uncertainty. Harvard Business<br />

Review 75(6):67-79<br />

CRED (2007) Country profiles. EM-DAT emergency disasters database. EM-DAT: The<br />

International <strong>Disaster</strong> Database. http://www.em-<br />

dat.net/disasters/Visualisation/profiles/countryprofile.php. Cited 15 May 2007<br />

Denton F, Sokona Y, Thomas JP (2002) <strong>Climate</strong> change <strong>and</strong> sustainable development strategies<br />

in the making: What should West African countries should expect? OECD, pp27<br />

Dessai S, Adger WN, Hulme M, Turnpenny J, Kohler J, Warren R (2004) Defining <strong>and</strong><br />

experiencing dangerous climate change. Climatic <strong>Change</strong> 64:11-25<br />

Dessai S, Hulme M (2007) Assessing the robustness of adaptation decisions to climate change<br />

uncertainties: A case study on water resources management in the East of Engl<strong>and</strong>. Global<br />

Environmental <strong>Change</strong> 17:59-72<br />

Detsky AS (1996) Costs in perspective: Underst<strong>and</strong>ing cost-effective analysis. Journal of<br />

Thrombosis <strong>and</strong> Thrombolysis 3:157-161<br />

Dilley M (2005) Natural disaster hotspots: A global risk analysis. <strong>Risk</strong> identification for disaster<br />

risk management. Presented at World Conference on <strong>Disaster</strong> <strong>Reduction</strong>, 18-22 January 2005,<br />

Kobe, Hyogo. http://www.unisdr.org/wcdr/thematic-sessions/presentations/session2-<br />

5/hotspots.pdf. Cited 15 July 2007<br />

Dilley M (2006) Setting priorities: Global patterns of disaster risk. Philosophical Transactions of<br />

Royal Society A 364(1845):2217-2229<br />

Downing TE, Ringius L, Hulme M, Waughray D (1997) Adapting to climate change in Africa.<br />

Mitigation <strong>and</strong> Adaptation Strategies for Global <strong>Change</strong> 2:19-44<br />

27


Ely LL, Enzel Y, Baker VR, Cayan DR (1993) A 5000-year record of extreme floods <strong>and</strong> climate<br />

change in the Southwestern United States. Science 262 (5132):410-412<br />

Emanual K (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature<br />

436:686-688<br />

Ferrier N, Haque CE (2003) Hazard risk assessment methodology for emergency managers: A<br />

st<strong>and</strong>ardized framework for application. Natural Hazards 28:271-290<br />

Forest C, Webster M, Reilly J (2004) Narrowing uncertainty in global climate change. The<br />

Industrial Physicist 10:20-23<br />

Fortner RW, Lee JY, Corney JR, Romanello S, Bonnell J, Luthy B, Figuerido C, Ntsiko N (2000)<br />

Public underst<strong>and</strong>ing of climate change: Certainty <strong>and</strong> willingness to act. Environmental<br />

Education Research 6(2):!27-141<br />

Frankhauser S (2006) The economics of adaptation. Supporting research commissioned as part<br />

of the Stern Review. http://www.hm-<br />

treasury.gov.uk/independent_reviews/stern_review_economics_climate_change/stern_review<br />

_supporting_documents.cfm. Cited 24 April 2008<br />

Gornitz V (1995) Sea-level rise: A review of recent past <strong>and</strong> near-future trends. Earth Surface<br />

Processes <strong>and</strong> L<strong>and</strong>forms 20(1):7-20<br />

Gossling S (2002) Global environmental consequences of tourism. Global Environmental<br />

<strong>Change</strong> 12 (4):283-302<br />

Gossling S (2002) Human–environmental relations with tourism. Annals of Tourism Research<br />

29(4):539–556<br />

Government of Ehime Prefecture (2005) Road memory of disasters in 2004. Department of Civil<br />

Engineering <strong>and</strong> Urban Road Maintenance Section, Government of Ehime Prefecture, pp21<br />

Government of Hyogo Prefecture (2006) Summary of inspection report on disaster of Typhoon<br />

23. Typhoon 23 <strong>Disaster</strong> Inspection Committee, Government of Hyogo, Hyogo, Japan.<br />

(Hyogo ken taihuu dai 23 gou saigai kenshou iinkai. Taihuu dai 23 gou saigai ni kakaru kenshou<br />

28


houkoku no gaiyou). http://web.pref.hyogo.jp/pa18/pa18_000000001.html. Cited 25th June<br />

2007<br />

Government of India (2005) <strong>Disaster</strong> management in India. Ministry of Home Affairs,<br />

Government of India, New Delhi, pp98<br />

Haddad BM, Merritt K (2001) Evaluating regional adaptation to climate change: The case of<br />

California Water. In: Darwin CH, Richard BH (eds) The long-term economics of climate<br />

change: Beyond a doubling of greenhouse gas concentrations, Netherl<strong>and</strong>s: Elsevier Science,<br />

pp65-93<br />

Haines A, McMichael AJ, Epstein PR (2000) Environment <strong>and</strong> health: Global climate change <strong>and</strong><br />

health. Canadian Medical Association Journal 163(6):729-734<br />

Hall J (2007) Probabilistic climate scenarios may misrepresent uncertainty <strong>and</strong> lead to bad<br />

adaptation decisions. Hydrological Processes 21:1127-1129<br />

H<strong>and</strong>mer JW, Dovers S, Downing TE (1999) Societal vulnerability to climate change <strong>and</strong><br />

variability. Mitigation <strong>and</strong> Adaptation Strategies for Global <strong>Climate</strong> <strong>Change</strong> 4:267-281<br />

Heal G, Kristrom B (2002) Uncertainty <strong>and</strong> climate change. Environmental <strong>and</strong> Resource<br />

Economics 22:3-39<br />

Helmer M (2006) Natural disasters <strong>and</strong> climate change. <strong>Disaster</strong>s 30(1):1-4<br />

Helmer M, Hilhorst D (2006) Natural disasters <strong>and</strong> climate change. <strong>Disaster</strong>s 30(1):1-4<br />

Hill SD, Thompson D (2006) Underst<strong>and</strong>ing managers views of global environmental risk.<br />

Environmental Management 37 (6):773-787<br />

Howarth RB, Hall DC (2001) Beyond a doubling: Issues in the long-term economics of climate<br />

change. In: Darwin CH, Richard BH (eds) The long-term economics of climate change:<br />

Beyond a doubling of greenhouse gas concentrations. Netherl<strong>and</strong>s: Elsevier Science, pp1-9<br />

Hulme M, Jenkins GJ, Lu X, Turnpenny JR, Mitchell TD, Jones RG, Lowe J, Murphy JM, Hassell D,<br />

Boorman P, McDonald R, Hill S (2002) <strong>Climate</strong> <strong>Change</strong> Scenarios for the United Kingdom: The<br />

UKCIP02 Scientific Report. Tyndall Centre for <strong>Climate</strong> <strong>Change</strong> Research: Norwich<br />

29


Imamura F, To DV (1997) Flood <strong>and</strong> typhoon disasters in Viet Nam in the half century since<br />

1950. Natural Hazards 15:71-81<br />

Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong> (2007a) <strong>Climate</strong> <strong>Change</strong> 2007: The physical science<br />

basis. Summary for policy makers. Contribution of Working Group I to the Fourth<br />

Assessment Report of the Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>, Intergovernmental<br />

Panel on <strong>Climate</strong> <strong>Change</strong>. http://ipcc-wg1.ucar.edu. Cited 9 th March 2007<br />

Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong> (2007b) <strong>Climate</strong> <strong>Change</strong> 2007: Synthesis report.<br />

Contribution of Working Groups I, II <strong>and</strong> III to the Fourth Assessment Report of the<br />

Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong> [Core Writing Team, Pachauri, R.K <strong>and</strong> Reisinger,<br />

A. (eds.)]. IPCC, Geneva, Switzerl<strong>and</strong>, 104 pp. http://www.ipcc.ch/pdf/assessment-<br />

report/ar4/syr/ar4_syr.pdf. Cited 25 April 2008<br />

Islamic Republic of Afghanistan (2005) Guidelines for preparing disaster management plan for<br />

ministries. Department of <strong>Disaster</strong> Preparedness, Islamic Republic of Afghanistan.<br />

http://www.ddp.gov.af/dm_frame_work/guidelines_for_ministry_dm_plan.pdf. Cited 28 th<br />

August 2007<br />

Japan Meteorological Agency (2004) Heavy rains <strong>and</strong> typhoons occurred in 2004. Japan<br />

Meteorological Agency, Japan, pp39<br />

Jones R, Mearns L (2005) Assessing future climate risks. In: Lim B, Spanger-Siefried E (eds)<br />

Adaptation policy frameworks for climate change: Developing strategies, policies <strong>and</strong> measures.<br />

Cambridge University Press, Cambridge, pp119-144<br />

Jones RN (2000) Managing uncertainty in climate change projections – Issues for impact<br />

assessment. Climatic <strong>Change</strong> 45(3-4):403-419<br />

K<strong>and</strong>likar M, Sagar A (1999) <strong>Climate</strong> change research <strong>and</strong> analysis in India: An integrated<br />

assessment of a South-North divide. Global Environmental <strong>Change</strong> 9:119-138<br />

Kane S, Shogren JF (2000) Linking adaptation <strong>and</strong> mitigation in climate change policy. <strong>Climate</strong><br />

<strong>Change</strong> 45:75-102<br />

30


Kates RW (2000) Cautionary tales: adaptation <strong>and</strong> the global poor. Climatic <strong>Change</strong> 45:5–17<br />

Katz RW (2002) Techniques for estimating uncertainty in climate change scenarios <strong>and</strong> impact<br />

studies. <strong>Climate</strong> Research 20:167-185<br />

Kelin RJT (2002) <strong>Climate</strong> change, adaptive capacity <strong>and</strong> sustainable development. Presented at<br />

OECD Informal Expert Meeting on Development <strong>and</strong> <strong>Climate</strong> <strong>Change</strong>. 13-14 March 2004,<br />

Paris, France. http://www.oecd.org/dataoecd/1/37/1933851.pdf. Cited 10 March 2007<br />

Kelly PM, Adger WN (2000) Theory <strong>and</strong> practice in assessing vulnerability to climate change <strong>and</strong><br />

facilitating adaptation. Climatic <strong>Change</strong> 47:325-352<br />

Kempton W (1997) How the public views climate change. Environment 39(9):12-21<br />

Khan MR, Rahman MS (2007) Partnership approach to disaster management in Bangladesh: a<br />

critical policy assessment. Natural Hazards 41:359-378<br />

King DA (2004) <strong>Climate</strong> change science: Adapt, mitigate or ignore? Science 303:176-177<br />

Klein RJT, Maciver DC (1999) Adaptation to <strong>Climate</strong> Variability <strong>and</strong> <strong>Change</strong>: Methodological<br />

Issues. Mitigation <strong>and</strong> Adaptation Strategies for Global <strong>Change</strong> 4(3-4):189-198<br />

Kluger J (2005) Global warming: The culprit. Times Magazine 166(14):43-46<br />

Kovats, RS, Haines A (2005) Global climate change <strong>and</strong> health: Recent findings <strong>and</strong> future steps.<br />

Canadian Medical Association Journal 172(4):501-502<br />

Kuban R, MacKenzie-Carey H (2001) Community-wide vulnerability <strong>and</strong> capacity assessment.<br />

Office of the Critical Infrastructure Protection <strong>and</strong> Emergency Preparedness, Government of<br />

Canada, pp43<br />

L<strong>and</strong>eas CW, Harper BA, Hoarau K, Knaff JS (2006) Can we detect trends in extreme tropical<br />

cyclones? Science 313:452-454<br />

Le Houerou HN (1996) <strong>Climate</strong> change, drought <strong>and</strong> desertification. Journal of Arid<br />

Environments 34(2):133-185<br />

31


Leiserowitz A (2005) American risk perceptions: Is climate change dangerous? <strong>Risk</strong> Analysis 25(6): DOI:<br />

10.1111/j.1540-6261.2005.00690.x<br />

Leiserowitx A (2006) <strong>Climate</strong> change risk perception <strong>and</strong> policy preferences: The role of affect, imagery,<br />

<strong>and</strong> values. Climatic <strong>Change</strong> 77:45-72<br />

Lempert R, Nakicenovic N, Sarewitz D, Schlesinger M (2004) Characterizing climate-change<br />

uncertainties for decision-makers: An editorial essay. Climatic <strong>Change</strong> 65(1-2):1-9<br />

Lewis J (1999) Development in <strong>Disaster</strong>-Prone Places: Studies of Vulnerability, Intermediate Technology<br />

Publications, London<br />

Lim B, Spanger-Siegfried E, (eds) (2005) Adaptation policy frameworks for climate change:<br />

Developing strategies, policies <strong>and</strong> measures. UNDP <strong>and</strong> GEF<br />

Löfstedt RE (1991) <strong>Climate</strong> change perceptions <strong>and</strong> energy-use decisions in Northern Sweden.<br />

Global Environmental <strong>Change</strong> 1 (4):321-324<br />

Lomborg B (2007) Cool it: The skeptical environmentalist’s guide to global warming. Alfred A.<br />

Knopf, New York<br />

Loukas A, Ouick MC (1999) The effect of climate change on floods in British Columbia. Nordic<br />

Hydrology 30:231-256<br />

Lynne B, James G, Thompson P (1997) Building capacities for risk reduction. United Nations<br />

<strong>Disaster</strong> Management Training Program, 1 st Edition, 67 p.<br />

McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, <strong>and</strong> White KS (2001) <strong>Climate</strong> <strong>Change</strong> 2001: Impacts,<br />

Adaptation, <strong>and</strong> Vulnerability : Contribution of Working Group II to the Third Assessment Report of<br />

the Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>, Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>,<br />

Cambridge University Press, UK, p. 1008<br />

McComas K (1999) Telling stories about global climate change. Communication Research<br />

26(1):30-57<br />

32


McDaniels T, Axelrod LJ, Solvic P (1996) Perceived ecological risks of global change: A<br />

psychometric comparison of causes <strong>and</strong> consequences. Global Environmental <strong>Change</strong><br />

6(2):159-171<br />

McEntire AD (2004) Development, disaster <strong>and</strong> vulnerability: A discussion of divergent theories<br />

<strong>and</strong> the need for their integration. <strong>Disaster</strong> Prevention <strong>and</strong> Management 13(3):193-198<br />

McEntire DA (2001) Triggering agents, vulnerabilities <strong>and</strong> disaster reduction: Towards a holistic<br />

paradigm. <strong>Disaster</strong> prevention <strong>and</strong> management 10(3):189-196<br />

McEntire DA, Fuller C, Johnston CW, Weber R (2002) A comparison of disaster paradigms: The<br />

search for a holistic policy guide. Public Administration Review 62(3):267-281<br />

McGranahan G, Jacobi P, Songsore J, Surjadi C, Kjellen M (2001) The citizens at risk: From<br />

urban sanitation to sustainable cities. Earthscan Publications Ltd., UK<br />

Mendelsohn R, Dinar A (1999) <strong>Climate</strong> change, agriculture, <strong>and</strong> developing countries: Does<br />

adaptation matters? The World Bank Research Observer 14(2):277-293<br />

Michael B, Fasil AG (2001) Worldwide public perception of flood risk in urban areas <strong>and</strong> its consequences<br />

for hydrological design in Irel<strong>and</strong>. Paper presented at the National Hydrology Seminar on Flood <strong>Risk</strong><br />

Management: Impacts <strong>and</strong> Development, Irel<strong>and</strong><br />

Michael H (2003) The Ties that Bind: The Connection Between <strong>Climate</strong> <strong>and</strong> Society. Glantz, <strong>Climate</strong><br />

Affairs: A Primer. Isl<strong>and</strong> Press, Washington, DC<br />

Milly PC, Wetherald RT, Dunne KA, Delworth TL (2002) Increasing risk of great floods in a<br />

changing climate. Nature 415 (6871):514-517<br />

Milne J (2006) Assessing the costs <strong>and</strong> benefits of adaptation to climate change. Supporting<br />

research commissioned as part of the Stern Review. http://www.hm-<br />

treasury.gov.uk/independent_reviews/stern_review_economics_climate_change/stern_review_s<br />

upporting_documents.cfm. Cited 24 April 2008<br />

Munich Re (2007) Natural catastrophes 2006. Analyses, assessments, positions. Knowledge Series,<br />

Munich Re, Germany, p 50<br />

33


Newton J (1997) Federal legislation for disaster mitigation: A comparative assessment between<br />

Canada <strong>and</strong> United States. Natural Hazards 16:219-241<br />

Newton J, Paci CDJ, Ogden A (2005) <strong>Climate</strong> change <strong>and</strong> natural hazards in northern Canada:<br />

Integrating indigenous perspectives with government policy. Mitigation <strong>and</strong> Adaptation<br />

Strategies for Global <strong>Change</strong> 10:541-571<br />

Nichollas RJ (1995) Coastal megacities <strong>and</strong> climate change. GeoJournal 37(3):369-379<br />

Nodhaus WD (1994) Managing the global commons: The economics of climate change.<br />

Cambridge, Massachusetts, MIT Press<br />

OBrien G, OKeefe P, Rose J, Wisner B (2006) <strong>Climate</strong> change <strong>and</strong> disaster management.<br />

<strong>Disaster</strong>s 30 (1):64-80<br />

Otero RC, Marti RZ (1995) The impacts of natural disasters on developing economies:<br />

Implications for the international development <strong>and</strong> disaster community. In: Munasinghe M,<br />

Clarke C (eds) <strong>Disaster</strong> prevention for sustainable development: Economic <strong>and</strong> policy issues,<br />

Report from the Yokohama World Conference on Natural <strong>Disaster</strong> <strong>Reduction</strong>, May 23-27,<br />

1994. The World Bank <strong>and</strong> International Decade for Natural <strong>Disaster</strong> <strong>Reduction</strong>, Washington<br />

Oxfam-Vietnam (2007) Drought management considerations for climate change adaptation:<br />

Focus on Mekong region. Oxfam-Vietnam <strong>and</strong> Graduate School of Global Environmental<br />

Studies, Kyoto University, pp56<br />

Pacific <strong>Disaster</strong> Center (2005a) <strong>Disaster</strong> risk management master plan (DRMMP): Pilot<br />

application in Metropolitan Manila. Earthquake <strong>and</strong> Megacities Initiative, Pacific <strong>Disaster</strong><br />

Center, Kihei, Hawai. http://emi.pdc.org/DRMlibrary/Metro-Manila/MM-DRMMP-<br />

proposal.pdf. Cited 25 th June 2007<br />

Pacific <strong>Disaster</strong> Center (2005b) <strong>Disaster</strong> risk management profile: Mumbai, India. Earthquake<br />

<strong>and</strong> Megacities Initiative, Pacific <strong>Disaster</strong> Center, Kihei, Hawai. http://emi.pdc.org/cities/CP-<br />

Mumbai-09-05.pdf. Cited 25th June 2007<br />

34


Paton D, Smit L, Johnston D (2003) When good intentions turn bad: Prompting disaster<br />

preparedness. Proceedings of the Australian <strong>Disaster</strong> Conference, 10-12 September 2003,<br />

Canberra, Australia. Emergency Management Australia.<br />

http://www.ema.gov.au/agd/ema/emaInternet.nsf/Page/RWP7ACC08746483F7B0CA256D<br />

B3001EDF58?OpenDocument. Cited 29 th July 2007<br />

Patt A, Dessai S (2005) Communicating uncertainty: Lessons learned <strong>and</strong> suggestions for climate<br />

change assessment. C.R. Geoscience 337:425-441<br />

Patt AG (2001) Underst<strong>and</strong>ing uncertainty: forecasting seasonal climate for farmers in Zimbabwe,<br />

<strong>Risk</strong> Decision <strong>and</strong> Policy 6:105–119<br />

Patt AG, Gwata C (2002) Effective seasonal climate forecast applications: examining constraints<br />

for subsistence farmers in Zimbabwe, Global Environmental <strong>Change</strong> 12:185–195<br />

Patz JA, McGeehin MA, Bernard SM, Ebi KL, Epstein PR (2000) The Potential Health Impacts of <strong>Climate</strong><br />

Variability <strong>and</strong> <strong>Change</strong> for the United States: Executive Summary of the Report of the Health Sector of<br />

the U.S. National Assessment. Environmental Health Perspectives 108 (4):367-376<br />

Pearce L (2003) <strong>Disaster</strong> management <strong>and</strong> community planning, <strong>and</strong> public participation: how to<br />

achieve sustainable hazard mitigation. Natural Hazards 28(2-3):211-228<br />

Pelling M (2003) The vulnerabilities of cities: Natural disasters <strong>and</strong> social resilience. Earthscan<br />

Publications Ltd., UK<br />

Pelling M (ed) (2003) Natural disasters <strong>and</strong> development in a globalizing world, Routledge, New York, NY<br />

Permetta JC (1992) Impacts of climate change <strong>and</strong> sea-level rise on small isl<strong>and</strong> states. National<br />

<strong>and</strong> international responses. Global Environmental <strong>Change</strong> 2(1):19-31<br />

Prudhomme C, Jakob D, Svensson C (2003) Uncertainty <strong>and</strong> climate change impact on the flood<br />

regime of small UK catchments. Journal of Hydrology 277:1-23<br />

Public Advisory Forum (1997) <strong>Climate</strong> change <strong>and</strong> water resources. Journal of American Water<br />

Works Association 89(11):107-110<br />

35


Qian W, Zhu Y (2001) <strong>Climate</strong> change in China from 1880 to 1998 <strong>and</strong> its impact on the<br />

environmental condition Climatic <strong>Change</strong> 50(4):419-444<br />

Quarantelli EL (1988) Criteria for evaluating disaster planning in an urban setting. <strong>Disaster</strong><br />

Research Center, University of Delaware.<br />

http://dspace.udel.edu:8080/dspace/h<strong>and</strong>le/19716/504. Cited 25 th July 2007<br />

Quarantelli EL (1996) The future is not the past repeated: Projecting disasters in the 21 st century<br />

from current trends. Journal of Contingencies <strong>and</strong> Crisis Management 4(4):228-240<br />

Quarantelli EL (1997a) Ten criteria for evaluating the management of community disasters.<br />

<strong>Disaster</strong>s 21(1):39-56<br />

Quarantelli EL (1997b) Research based criteria for evaluating disaster planning <strong>and</strong> managing.<br />

<strong>Disaster</strong> Research Center, University of Delaware.<br />

http://dspace.udel.edu:8080/dspace/h<strong>and</strong>le/19716/136?mode=simple. Cited 25 th July 2007<br />

Ravindranath NH, Sathaye JA (2002) <strong>Climate</strong> change <strong>and</strong> developing countries. Kluwer<br />

Academic Publicshers, London, pp286<br />

Reiter P (2001) <strong>Climate</strong> change <strong>and</strong> mosquito borne diseases. Environmental Health Perspectives<br />

109:141-161<br />

Ribot JC (1995) The casual structure of vulnerability: Its application to climate impacts analysis.<br />

GeoJournal 35(2):119-122<br />

Richards M (2003) Poverty reduction, equity <strong>and</strong> climate change: Challenges for global<br />

governance. Natural Resource Perspectives 83, April 2003<br />

Rocha JL, Christoplos I (2001) <strong>Disaster</strong> Mitigation <strong>and</strong> Preparedness on the Nicaraguan Post-Mitch<br />

Agenda <strong>Disaster</strong>s 25(3):240–250<br />

Salter J (1997) <strong>Risk</strong> management in a disaster management context. Journal of Contingencies <strong>and</strong><br />

Crisis Management 5(1):60-65<br />

Samra SJ (2004) Review <strong>and</strong> analysis of drought monitoring, declaration <strong>and</strong> management in India.<br />

Working Paper 84. Colombo, Sri Lanka, International Water Management Institute.<br />

36


Schipper L, Pelling M (2006) <strong>Disaster</strong> risk, climate change <strong>and</strong> international development: Scope<br />

for, <strong>and</strong> challenges to, integration. <strong>Disaster</strong>s 30(1):19-38<br />

Schneider SH, Easterling WE, Mearns LO (2000) Adaptation: Sensitivity to natural variability,<br />

Agent Assumptions <strong>and</strong> Dynamic <strong>Climate</strong> <strong>Change</strong>s. <strong>Climate</strong> <strong>Change</strong> 45(1):203-221<br />

Schneider SH, Kuntz-Duriseti K (2001) Integrated assessment models of climate change: Beyond<br />

a doubling of CO2. In: Darwin CH <strong>and</strong> Richard BH (eds) The long-term economics of climate<br />

change: Beyond a doubling of greenhouse gas concentrations. Netherl<strong>and</strong>s, Elsevier Science,<br />

pp11-64<br />

Schreider SYU, Smith DI, Jakeman AJ (2000) <strong>Climate</strong> change impacts on urban flooding.<br />

Climatic <strong>Change</strong> 47:91-115<br />

Seth A, Jain SK (2002) Training of teachers for capacity building towards earthquake safety in<br />

India. The Indian Concrete Journal 10:629-632<br />

Shanahan J (2000) Heat <strong>and</strong> hot air: Influence of local temperature on journalists coverage of<br />

global warming. Public Underst<strong>and</strong>ing of Science 9(3):285-295<br />

Shook G (1997) An assessment of disaster risks <strong>and</strong> its management in Thail<strong>and</strong>. <strong>Disaster</strong>s<br />

21(1):77-88<br />

Slovic P (1987) Perception of risk. Science 236:280-285<br />

Smit B, Pilifosova (2001) Adaptation to climate change in the context of sustainable development <strong>and</strong><br />

equity. In: McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS, <strong>Climate</strong> <strong>Change</strong> 2001: Impacts,<br />

Adaptation, <strong>and</strong> Vulnerability: Contribution of Working Group II to the Third Assessment Report of<br />

the Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>, Intergovernmental Panel on <strong>Climate</strong> <strong>Change</strong>,<br />

Cambridge University Press, UK, pp877-912<br />

Smith JB, Ragl<strong>and</strong> SE, Pitts GJ (1996) A process for evaluating anticipatory adaptation measures<br />

for climate change. Water, Air, <strong>and</strong> Soil Pollution 92(1-2):229-238<br />

Smithers J, Smit B (1997) Human adaptation to climatic variability <strong>and</strong> change. Global<br />

Environmental <strong>Change</strong> 7(2):129-146<br />

37


Sperling F, Szekely F (2005) <strong>Disaster</strong> risk management in a changing climate. Presented at World<br />

Conference on <strong>Disaster</strong> <strong>Reduction</strong>, 18-22 January 2005, Kobe, Hyogo, Japan.<br />

http://www.unisdr.org/wcdr/thematic-sessions/presentations/session1-7/varg.pdf. Cited 8th<br />

November 2006<br />

Sperling F, Szekely F (2005) <strong>Disaster</strong> risk management in changing climate. Discussion paper for<br />

the World Conference on <strong>Disaster</strong> <strong>Reduction</strong>, 18-22 January 2005, Kobe, Japan<br />

Stenchion P (1997) Development <strong>and</strong> disaster management. Australian Journal of Emergency<br />

Management 12(3):40-44<br />

Stedman RC (2004) <strong>Risk</strong> <strong>and</strong> climate change: perception of key policy actors in Canada. <strong>Risk</strong> Analysis<br />

24(5):1395-1406<br />

Stern N (2006) The economics of climate change: The Stern review. Cambridge: Cambridge<br />

University Press<br />

Tearfund (1999) Christian Perspectives on <strong>Disaster</strong> Management: A Training Manuel. Tearfund,<br />

UK, p 102<br />

Thomalla F, Downing T, Siegfried ES, Han G, Rockstrom R (2006) Reducing hazard<br />

vulnerability: Towards a common approach between disaster risk reduction <strong>and</strong> climate<br />

adaptation. <strong>Disaster</strong>s 30(1):39-48<br />

Titus JG, Park RA, Leatherman SP, Weggel JR (1991) Greenhouse Effect <strong>and</strong> Sea <strong>Level</strong> Rise: The Cost of<br />

Holding Back the Sea. Coastal Management 19:171-204<br />

Tol RJS (2003) Is the uncertainty about climate change too large for expected cost-benefit<br />

analysis? Climatic <strong>Change</strong> 56(3):265-289<br />

Toll RSJ, Frankhauser S, Richels RG, Smith JB (2000) How much damage will climate change<br />

do? Recent estimates. Working Paper SCG 2, Research Unit Sustainability <strong>and</strong> Global <strong>Change</strong>,<br />

Center for Marine <strong>and</strong> <strong>Climate</strong> Research, Hamburg University, Hamburg, Germany.<br />

http://www.uni-hamburg.de/Wiss/FB/15/Sustainability/worldecon1.pdf. Cited 16 May 2007<br />

38


Tompkins EL, Adger WN (2003) Building resilience to climate change through adaptive<br />

management of natural resources. Working Paper 27. Tyndall Center for <strong>Climate</strong> <strong>Change</strong><br />

Research, UK, pp19<br />

Travis J (2005) Scientists fears comes true as hurricane floods New Orleans. Science.<br />

309(5741):1656-1659<br />

Trenberth K (2005) Uncertainty in hurricanes <strong>and</strong> global warming. Science 308:1753-1754<br />

Trumbo C (1999) Constructing climate change: Claims <strong>and</strong> frames in US news coverage of an<br />

environmental issue. Public Underst<strong>and</strong>ing of Science 5(3):269-283<br />

UNDP (2004) Reducing disaster risk a challenge for development: A global report. United<br />

Nations Development Program, New York, pp169<br />

United Nations (1992) United Nations Framework Convention on <strong>Climate</strong> <strong>Change</strong>. United<br />

Nations, pp33<br />

United Nations Development Program (2004) Reducing disaster risk: A challenge for<br />

development. UNDP, Geneva<br />

United Nations International Strategy for <strong>Disaster</strong> <strong>Reduction</strong> (2005) Hyogo Framework for<br />

Action 2005-2015: Building the resilience of nations <strong>and</strong> communities to disasters. World<br />

Conference on <strong>Disaster</strong> <strong>Reduction</strong>, 18-22 January 2005, Kobe, Hyogo, Japan, pp22<br />

Vulnerability <strong>and</strong> Adaptation Resource Group (2006) Linking climate change adaptation <strong>and</strong><br />

disaster risk management for sustainable poverty reduction: A synthesis report. Vulnerability<br />

<strong>and</strong> Adaptation Resource Group, The World Bank, Washington DC, pp30<br />

Walsh K (2004) Tropical cyclones <strong>and</strong> climate change: Unresolved issues. <strong>Climate</strong> Research<br />

27:77-83<br />

Weber EU (1997) Perception <strong>and</strong> expectation of climate change: precondition for economic <strong>and</strong><br />

technological adaptation. In: Bazerman MH, Messick DM, Tenbrunsel A, Wade-Benzoni K<br />

(eds) Psychological Perspectives to Environmental <strong>and</strong> Ethical Issues in Management, Jossey-<br />

Bass, San Francisco, CA, pp314–341<br />

39


Webster M, Forest C, Reilly J, Babiker M, Kicklighter D, Mayer M, Prinn R, Sarofim M, Sokolov<br />

A, Stone P, Wang C (2003) Uncertainty analysis of climate change <strong>and</strong> policy response.<br />

Climatic <strong>Change</strong> 61:295-320<br />

Wheaton EE, Maciver DC (1999) A Framework <strong>and</strong> Key Questions for Adapting to <strong>Climate</strong><br />

Variability <strong>and</strong> <strong>Change</strong>. Mitigation <strong>and</strong> Adaptation Strategies for Global <strong>Change</strong> 4(3-4):215-225<br />

Whetton PH, Fowler AM, Haylock MR, Pittock AB (1993) Implications of climate change due to the<br />

enhanced greenhouse effect on floods <strong>and</strong> droughts in Australia. Climatic <strong>Change</strong> 25(3-4):289-317<br />

Wilby RL, Dawson CW, Barrow EM (2002) A decision support tool for the assessment of regional climate<br />

change impacts. Environmental Modelling <strong>and</strong> Software 17 (2):145–157<br />

Willows R, Connell R (eds) (2003) <strong>Climate</strong> adaptation: <strong>Risk</strong>, uncertainty <strong>and</strong> decision-making.<br />

UK <strong>Climate</strong> Impacts Program Technical Report. UNCIP, Department for Environment, Food<br />

<strong>and</strong> Rural Affairs, Oxford<br />

Winkler H (2005) <strong>Climate</strong> change <strong>and</strong> developing countries. South African Journal of Science<br />

101:355-364<br />

Wisner B, Blaikie P, Cannon T, Davis I (2004) At <strong>Risk</strong>: Natural Hazards, Peoples vulnerabilities<br />

<strong>and</strong> disasters. Second Edition, Routledge, New York<br />

Wood EF, Sheffield J, Lettenmaier DP, Park H (2004) Global assessment of drought from<br />

historical assessments to future climate change scenarios. Geophysical Research Abstracts 6<br />

(10):2-2004<br />

World Commission on Environment <strong>and</strong> Development (1987). Our Common Future. Oxford<br />

University Press: Oxford<br />

Yamin F, Rahman A, Huq S (2005) Vulnerability, adaptation <strong>and</strong> climate disasters: A conceptual<br />

overview. Institute of Development Studies Bulletin 36(4):1-14<br />

Yatsuka M (2006) Impact <strong>and</strong> response to the disaster. In: Proceedings of the Symposium on<br />

Memory of <strong>Disaster</strong>s in 2004: Review <strong>and</strong> counter measures for future. Government of Ehime<br />

Prefecture, Japan, pp15-19<br />

40


Yodmani S (2001) <strong>Disaster</strong> risk management <strong>and</strong> vulnerability reduction: Protecting the poor.<br />

Presented at the Asia Pacific Forum on Poverty, 5-9 February 2001, Manila, Philippines.<br />

http://www.adb.org/poverty/forum/frame_yodmani.htm. Cited 7 th August 2007<br />

Yohe G, Schlessinger M (2002) The economic geography of the impacts of climate change.<br />

Journal of Economic Geography 2:311-341<br />

Yohe G, Tol RSJ (2001) Indicators for social <strong>and</strong> economic coping capacity—moving toward a<br />

working definition of adaptive capacity. Global Environmental <strong>Change</strong> 12:25–40<br />

Figure legends<br />

Figure 1 Number of natural disasters <strong>and</strong> the economic losses since 1900 (CRED, 2007)<br />

Figure 2 Five-year moving averages of number of hydro-met disasters in a) Vietnam <strong>and</strong> b) India<br />

(CRED, 2007)<br />

Figure 3 Domain of different disaster management plans considering the current <strong>and</strong> future<br />

climate change risks<br />

Figure 4 Growing risks <strong>and</strong> the process of continuous disaster risk management planning. Shaded<br />

areas denote uncovered risks<br />

Figure 5 Shaded areas showing redundancy built in consecutive disaster risk management plans<br />

Figure 6 Flow-diagram of steps to be followed by the <strong>Climate</strong> Task Group to mainstream climate<br />

change considerations in developmental <strong>and</strong> risk reduction plans <strong>and</strong> policies<br />

Figure 7 <strong>Disaster</strong> management cycle (Tearfund, 1999) <strong>and</strong> climate change coupling points that<br />

give an insight on what should be considered while planning for risk reduction<br />

41


Tables<br />

Table 1 Comparison of UNDP APF <strong>and</strong> UKCIP climate adaptation frameworks<br />

S<br />

No<br />

Element of<br />

comparison<br />

UNDP Adaptation Policy Framework UKCIP <strong>Climate</strong> Adaptation Framework<br />

1 Objective To guide studies, projects, planning <strong>and</strong> policy exercises (collectively called<br />

projects) towards identification of appropriate adaptation strategies, policies<br />

<strong>and</strong> measures <strong>and</strong> integration of same into local, sector specific <strong>and</strong> national<br />

developmental planning<br />

2 Target audience Primarily designed for technical analysts, climate project coordinators <strong>and</strong><br />

developers <strong>and</strong> climate change policy makers<br />

To take account of the risk <strong>and</strong> uncertainty associated with climate<br />

variability <strong>and</strong> change; <strong>and</strong> to identify <strong>and</strong> appraise measures to mitigate the<br />

impact or exploit the opportunities presented by future climate change i.e.<br />

to identify good adaptation options<br />

Particularly relevant to decision makers <strong>and</strong> their advisors who work in<br />

climate sensitive sectors, who manage the climate related consequences <strong>and</strong><br />

whose decisions are vulnerable to climate risks<br />

3 Number of stages 5 main components <strong>and</strong> 2 crosscutting processes 8 stages grouped into four<br />

4 Complexity The assessment heavily relies upon available data on various climate<br />

parameters <strong>and</strong> developmental indicators<br />

While depends on model outcomes <strong>and</strong> scenarios, it gives due emphasis on<br />

other kinds of techniques such as checklists, consultation processes,<br />

pedigree analysis etc


5 Methods <strong>and</strong> tools A mix of quantitative analytical <strong>and</strong> qualitative tools is used. Uses model<br />

outputs in assessing the future climate risks<br />

6 Practicality Practical though complex process requiring thorough underst<strong>and</strong>ing of<br />

7 Dealing with<br />

uncertainty<br />

various concepts, methods <strong>and</strong> tools<br />

Deals with uncertainty while assessing the future risks <strong>and</strong> using the same in<br />

APF<br />

8 Flexibility Provides sufficient flexibility by providing options such as hazard-based<br />

approach, vulnerability-based approach, adaptive-capacity approach, <strong>and</strong><br />

policy-based approach<br />

43<br />

Uses a mix of qualitative <strong>and</strong> quantitative methods <strong>and</strong> tools. It lists various<br />

tools to be used at every decision making step listed in the methodology<br />

Practical approach with more focus on decision making process. Still far<br />

from reach of the local level personnel<br />

The process is designed in such a way that the uncertainty is discussed <strong>and</strong><br />

dealt with at all most all the stages of decision making process<br />

The process is more a risk based approach <strong>and</strong> provides sufficient flexibility<br />

in decision making process<br />

9 <strong>Level</strong>s covered Covers both local level <strong>and</strong> national levels in the decision making process Covers both local level <strong>and</strong> national levels in the decision making process<br />

10 Intended outcomes Policy development, integrated assessments, <strong>and</strong> project formulations. Provide answers to questions such as what kind of adaptation decisions can<br />

be taken <strong>and</strong> when in a changing climate with due emphasis on uncertainty.<br />

11 Advised user level For advanced users <strong>and</strong> professionals. For those with elaborate underst<strong>and</strong>ing of principles underlying climate<br />

vulnerability <strong>and</strong> risk assessments


Table 2 Questions to be asked while integrating climate change concerns into disaster risk<br />

management<br />

S<br />

No<br />

Stage in <strong>Disaster</strong><br />

Management Cycle<br />

Questions to be asked<br />

1 <strong>Disaster</strong> Event Is this disaster a regular feature in that location?<br />

Is there a shift in disaster profile of the region?<br />

Has there been a shift in the intensity <strong>and</strong> magnitude of the<br />

disaster?<br />

Was there any change in the nature of impacts that reflected a<br />

change in local vulnerabilities?<br />

Has there been any change in the impacts?<br />

Were the vulnerabilities <strong>and</strong> risks changed from previous<br />

disaster events of similar intensity <strong>and</strong> magnitude?<br />

2 Relief phase Is the previously planned relief preparedness sufficient?<br />

3 Rehabilitation <strong>and</strong><br />

reconstruction<br />

What are the gaps in capacities at this phase?<br />

Does the rehabilitation <strong>and</strong> reconstruction requirements are<br />

growing continuously?<br />

What is the rate of such increments?<br />

How such rehabilitation investments could be met in future?<br />

What are gaps in capacities at this phase?<br />

Does the increased needs correspond to the risks?<br />

4 Mitigation What are the climate vulnerabilities of the region?<br />

What mitigation measures worked <strong>and</strong> what measures didn’t<br />

work in the light of increasing intensities of disasters?<br />

Are the mitigation measures increasingly becoming<br />

inadequate?


S<br />

No<br />

Stage in <strong>Disaster</strong><br />

Management Cycle<br />

Questions to be asked<br />

Is there any need for enhancing design st<strong>and</strong>ards to face future<br />

threats?<br />

What are gaps in capacities at this phase?<br />

5 Preparedness Was the existing level of preparedness sufficient?<br />

What elements of preparedness failed to respond to the<br />

unexpected events?<br />

Table 3: Capacities required by various stakeholders for mainstreaming climate change concerns<br />

in disaster risk management<br />

S No Stakeholders Capacity needs<br />

1 Communities Human capital (Yohe <strong>and</strong> Schlesinger, 2002)<br />

2 Government <strong>and</strong> Non-<br />

governmental disaster<br />

management personnel<br />

Social capital of societies (Yohe <strong>and</strong> Schlesinger, 2002;<br />

Adger et al, 2003)<br />

Underlying health of the communities under question to<br />

deal with the climate change threats (Adger, 1999)<br />

Knowledge on climate change <strong>and</strong> its implications for the<br />

disaster profile of their region (Yohe <strong>and</strong> Schlesinger, 2002;<br />

Adger et al 2005)<br />

Enhanced response capacity (Kelly <strong>and</strong> Adger, 2000;<br />

Tompkins <strong>and</strong> Adger, 2003)<br />

Functional social networks (Yohe <strong>and</strong> Schlesinger, 2002;<br />

Tompkins <strong>and</strong> Adger, 2003)<br />

Empowerment <strong>and</strong> enfranchisement (Ribot, 1995)<br />

Consideration of uncertainty in planning (H<strong>and</strong>mer et al,<br />

1999; Barnett, 2001; Willows <strong>and</strong> Connell, 2003)<br />

45<br />

Flexibility <strong>and</strong> innovation in the institutions (Kelly <strong>and</strong>


3 Research <strong>and</strong><br />

educational institutions<br />

Adger, 2000; Adger et al, 2003)<br />

Policies <strong>and</strong> regulations (Adger et al 2005)<br />

Strengthening early warning systems (Klein, 2002)<br />

Spatial planning (Nichollas, 1995)<br />

Finances (K<strong>and</strong>likar <strong>and</strong> Sagar, 1999)<br />

Analytical skills to identify climate change impacts <strong>and</strong><br />

related disaster dynamics (K<strong>and</strong>likar <strong>and</strong> Sagar, 1999)<br />

Respond to the developmental pressures <strong>and</strong> resource crises<br />

(Downing et al, 1997)<br />

<strong>Risk</strong> spreading instruments (Yohe <strong>and</strong> Schlesinger, 2002)<br />

Governance (Denton et al, 2002)<br />

Resources (manpower <strong>and</strong> funds) (K<strong>and</strong>likar <strong>and</strong> Sagar,<br />

1999)<br />

Proactive participation in relevant policy research (K<strong>and</strong>likar<br />

<strong>and</strong> Sagar, 1999; Yohe <strong>and</strong> Schlesinger, 2002)<br />

Integrating with the local disaster management community<br />

(Alast, 2006)<br />

46


Figure 1<br />

Click here to download high resolution image


Figure 2a<br />

Click here to download high resolution image


Figure 2b<br />

Click here to download high resolution image


Figure 3<br />

Click here to download high resolution image


Figure 4<br />

Click here to download high resolution image


Figure 5<br />

Click here to download high resolution image


Figure 6<br />

Click here to download high resolution image

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!