161 This point is added with the clear understanding that negotiations are still ongoing at the global policy level. The last meeting of the Ad Hoc Open-endedInformal Working Group to study issues relating to the conservation and sustainable use of marine biological diversity beyond areas of national jurisdiction, held inJanuary 2015, stressed the need for a comprehensive global regime to better address the conservation and sustainable use of marine biodiversity beyond areas ofnational jurisdiction and resulted in the recommendation to develop an international legally-binding instrument under the United Nations Convention on the Lawof the Sea (See also: A/69/780). Work is also undertaken to promote the entry into force and implementation of international instruments addressing a number ofissues related, generally, to genetic resources (e.g. Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising fromtheir Utilization to the Convention on Biological Diversity). In addition, discussions are ongoing with regard to the development of an international instrumentaddressing the intellectual property rights aspects of genetic resources. (See also: Secretary-General report A/69/71/Add.1).162 For more information, please see: http://www.worldoceanassessment.org/163 Annex II is available on the DESA-administered Sustainable Development Knowledge Platform under:https://sustainabledevelopment.un.org/globalsdreport/2015.164 e.g. UN System of Environmental Economic Accounting (SEEA); Economics of Ecosystems and Biodiversity (TEEB)165 Halpern et al. 2012, Elfes et al. 2013, Halpern et al. 2013166 For more information, please see: http://www.oceanhealthindex.org/167 Including National Center for Ecological Analysis and Synthesis, Sea Around Us, Conservation International, National Geographic, and the New England Aquarium168 See examples in Table 3-1 Important Inter-linkages between oceans, seas, marine resources and human well-being169 Halpern et al., A global map of human impact on marine ecosystems, 2008.170 Halpern et al., A global map of human impact on marine ecosystems, 2008.171 McCauley et al., Marine defaunation: Animal loss in the global ocean, 2015.172 United Nations, TST Issues Brief: Oceans and Seas (United Nations Technical Support Team, 2013).173 Beck et al., Oyster Reefs at Risk and Recommendations for Conservation, Restoration and Management (Bioscience, 2011).174 IOC/UNESCO, IMO, FAO, UNDP, A Blueprint for Ocean and Coastal Sustainability, 2011.175 Rockström et al., Sustainable Development and Planetary Boundaries (Background Research Paper, 2013); Steffen et al., Planetary boundaries: Guiding humandevelopment on a changing planet, 2015.176 United Nations. World Population Prospects: the 2012 Revision (UNDESA, 2012).177 Neumann et al., Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding – A Global Assessment (PLoS ONE, 2015).178 M. W. Beck, Coasts at Risk: An Assessment of Coastal Risks and the Role of Environmental Solutions (The Nature Conservancy and the Coastal Resources Center,2014).179 Huq et al., Reducing risks to cities from climate change; an environmental or a development agenda? (2007).180 The Brookings Institution, On the front line of climate change and displacement: Learning from and with Pacific Island Countries (London School of Economics2011).181 For more information, please see: http://www.unga-regular-process.org/content/view/18/20/index.html182 For more information, please see: http://www.worldoceanassessment.org/183 For more information, please see: http://www.worldoceanassessment.org/184 For more information, please see: http://www.worldoceanassessment.org/185 For more information, please see: http://www.worldoceanassessment.org/186 For more information, please see: http://www.worldoceanassessment.org/187 Annex II is available on the DESA-administered Sustainable Development Knowledge Platform under:https://sustainabledevelopment.un.org/globalsdreport/2015.188 For more information, please see: http://www.unga-regular-process.org/content/view/18/20/index.html189 UNDESA, UN-DOALOS/OLA, IAEA, IMO, IOC-UNESCO, UNDP, UNEP, UNWTO, How oceans- and seas-related measures contribute to the economic, social andenvironmental dimensions of sustainable development: Local and regional experiences. Online publication, 2014.190 UNDESA, UN-DOALOS/OLA, IAEA, IMO, IOC-UNESCO, UNDP, UNEP, UNWTO, How oceans- and seas-related measures contribute to the economic, social andenvironmental dimensions of sustainable development: Local and regional experiences. Online publication, 2014.191 UNDESA, UN-DOALOS/OLA, IAEA, IMO, IOC-UNESCO, UNDP, UNEP, UNWTO, How oceans- and seas-related measures contribute to the economic, social andenvironmental dimensions of sustainable development: Local and regional experiences. Online publication, 2014.192 UNDP,Catalysing Ocean Finance (Volume II), 2013.193 UNDESA, UN-DOALOS/OLA, IAEA, IMO, IOC-UNESCO, UNDP, UNEP, UNWTO, How oceans- and seas-related measures contribute to the economic, social andenvironmental dimensions of sustainable development: Local and regional experiences. Online publication, 2014.194 Freed and Granek. Case study: Community-based Green Sea Turtle conservation in the Comoros, 2015.195 UNDESA, UN-DOALOS/OLA, IAEA, IMO, IOC-UNESCO, UNDP, UNEP, UNWTO, How oceans- and seas-related measures contribute to the economic, social andenvironmental dimensions of sustainable development: Local and regional experiences. Online publication, 2014.196 UNDESA, UN-DOALOS/OLA, IAEA, IMO, IOC-UNESCO, UNDP, UNEP, UNWTO, How oceans- and seas-related measures contribute to the economic, social andenvironmental dimensions of sustainable development: Local and regional experiences. Online publication, 2014.197 UNDP/GEF, Linking Conservation and Livelihoods in the Oracabessa Bay Fish Sanctuary, Jamaica (Project description, 2011).198 Annex II is available on the DESA-administered Sustainable Development Knowledge Platform under:https://sustainabledevelopment.un.org/globalsdreport/2015.199 It consists of: (1) literature review, to identify potentially relevant social groups and socioeconomic variables that can be affected by the designation of MPAs orother types of marine management measures; (2) stakeholder surveys, to ascertain the perceptions on marine conservation by a range of representative marineand coastal organisations belonging to the previously identified groups, including the variables considered most relevant to those organisations for monitoring andassessing the socioeconomic effects of marine management measures; and (3) GIS-based geo-statistical analysis using a Multiple-Paired-Before-After-Control-Impact design (MPBACI), to assess the effects of an MPA or set of MPAs on the set of variables considered most important for the stakeholders. See for moreinformation: Rodríguez-Rodríguez et al. (under review). A methodological framework to monitor and assess the socioeconomic effects of marine protected areas.An English Channel case study. Environmental Science & Policy".200 See for example: A/RES/68/70, paragraph 184.178
201 For more information, please visit GRAMED: http://www.unep-wcmc-apps.org/gramed/.202 United Nations, A/68/82, Annex 2, http://www.un.org/depts/los/global_reporting/guidance_for_contributors.pdf203 For more information, please visit: http://www.coml.org/204 For more information, please visit: http://www.iobis.org/205 The GOOS Biology and Ecosystems Panel, the GOOS Biogeochemistry Panel (IOCCP) and the GOOS Physics Panel (OOPC)206 For more information, please visit: http://www.ioc-goos.org207 See for example: http://www.pewtrusts.org/en/multimedia/video/2015/project-eyes-on-the-seas208 For more information, please visit GRAMED: http://www.unep-wcmc-apps.org/gramed/.209 More information on UN System Task Team on post-2015 Development Agenda - Disaster risk and resilience, Thematic Think Piece, UNISDR, WMO is available at:http://www.preventionweb.net/files/27462_20120607unttpostmdgthinkpieceondrra.pdf210 Estimates vary according to the source and timeframe used. Global database EM-DAT data indicates over 3 billion people affected on 2000-2014 and over 1.24million deaths. Statistics can be found from EM-DAT website, available at: http://www.emdat.be/advanced_search/index.html211 United Nations Office for Disaster Risk Reduction, Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report onDisaster Risk Reduction (Geneva: UNISDR, 2015).212 United Nations Office for Disaster Risk Reduction, Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report onDisaster Risk Reduction (Geneva: UNISDR, 2015).213 Estimates vary according to the source and timeframe used. Global database EM-DAT data shows 171 billion USD average losses per year for the last 5 years(2010 - 2014). Statistics can be found from EM-DAT website, available at: http://www.emdat.be/advanced_search/index.html214 United Nations General Assembly, Report of the Open Working Group of the General Assembly on Sustainable Development Goals (United Nations, 2014),http://www.un.org/ga/search/view_doc.asp?symbol=A/68/970&Lang=E215 United Nations General Assembly , Sendai Framework for Disaster Risk Reduction 2015-2030 (United Nations, 2015),http://www.wcdrr.org/uploads/Sendai_Framework_for_Disaster_Risk_Reduction_2015-2030.pdf216 R. Pulwarty and M. Sivakumar, Information systems in a changing climate: Early warnings and drought risk management (Weather and Climate Extremes 3,2014), 14-21.217 Andrew Shepherd et al., The geography of poverty, disasters and climate extremes in 2030 (London: Overseas Development Institute, 2013).218 United Nations Office for Disaster Risk Reduction, Global Assessment Report on Disaster Risk Reduction, Risk and poverty in a changing climate, Invest today for asafer tomorrow (Geneva: UNISDR, 2009).219 Andrew Shepherd et al., The geography of poverty, disasters and climate extremes in 2030 (London: Overseas Development Institute, 2013).220 Hsiang Anttila-Hughes, Hsiang, Destruction, disinvestment, and Death: Economic and Human Losses Following Environmental Disaster’ Working Paper (SanFrancisco, 2012).221 AAL is the average expected loss annualized over a long time frame as derived from probabilistic scenario models.222 United Nations Office for Disaster Risk Reduction, Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report onDisaster Risk Reduction (Geneva: UNISDR, 2015).223 FAO, Agriculture and Disaster Risk: A contribution by the United Nations to the consultation leading to the Third UN World Conference on DRR (2014).224 FAO, The impact of natural hazards on agriculture - a call to action on resilient livelihoods (to be published in 2015).225 World Bank, Convenient Solutions to an Inconvenient Truth : Ecosystem-based Approaches to Climate Change (World Bank, 2010),https://openknowledge.worldbank.org/handle/10986/2686226 FAO, Resilient Livelihoods – Disaster Risk Reduction for Food and Nutrition Security Framework Programme (2013),http://www.fao.org/docrep/015/i2540e/i2540e00.pdf227 The World Bank, Adapting to Climate Change in Europe and Central Asia (2009), http://www.worldbank.org/eca/climate/ECA_CCA_Full_Report.pdf228 FAO. The impact of natural hazards on agriculture - a call to action on resilient livelihoods (working title), to be published in 2015229 Statistics on injured can be found from EM-DAT database, available at: http://www.emdat.be/advanced_search/index.html230 Watson JT, Gayer M, Connolly MA. (2007) Epidemics after natural disasters. Emerging Infectious Diseases, serial on the Internet. Vol. 13, 1. Available at:http://wwwnc.cdc.gov/eid/article/13/1/06-0779231 Use knowledge, innovation and education to build a culture of safety and resilience at all levels” is one of the priorities of the Hyogo Framework for Action 2005-2015.232 UNDP, Human Development Report 2007/2008 - Fighting climate change: human solidarity in a divided world (The Human Development Report Office, 2007-2008).233 United Nations Office for Disaster Risk Reduction, Assessing School Safety from Disasters – A Global Baseline Report (Geneva: UNISDR, 2013).234 United Nations Office for Disaster Risk Reduction, Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report onDisaster Risk Reduction (Geneva: UNISDR, 2015).235 A Contribution by the United Nations to the consultation leading to the Third UN World Conference on Disaster Risk Reduction (2014) Available at:http://www.preventionweb.net/files/38763_water.pdf236 World Bank, Dar es Salaam Case Study Overview: Climate Change, Disaster Risk and the Urban Poor: Cities Building Resilience for a Changing World (WashingtonD. C.: The World Bank, 2011).237 Matthew E. Kahn, Sustainable and Smart Cities, Policy Research Working Paper 6878 (Washington, D.C: the World Bank, 2014).238 Extensive risk refers to the risk layer of high-frequency, low-severity losses. The issue is addressed more in detail in section 3.239 United Nations Office for Disaster Risk Reduction, Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report onDisaster Risk Reduction (Geneva: UNISDR, 2015).240 Gender Responsive Disaster Risk Reduction; A contribution by the United Nations to the consultation leading to the Third UN World Conference on Disaster RiskReduction, Available at: http://www.preventionweb.net/files/40425_gender.pdf241 Elaine Enarson, Women Confronting Natural Disaster – From Vulnerability to Resilience (Lyenne Rienner Publishers, Boulder, 2012).242 World Bank, Operationalizing the World Development Report 2012 on Gender Equality, Making Women’s voice count; Integrating Gender Issues in Disaster RiskManagement; Overview & Resources for Guidance Notes (Washington D.C.: World Bank, 2012), http://www-179
- Page 1 and 2:
GLOBAL SUSTAINABLEDEVELOPMENT REPOR
- Page 3:
ForewordIn September 2015, world le
- Page 6 and 7:
3.1. Interlinked issues: oceans, se
- Page 8 and 9:
7.2.1. Open call for inputs to the
- Page 10 and 11:
Box 5-10. Operationalizing inclusiv
- Page 12 and 13:
Figure 8-8. Location of ambulance u
- Page 14 and 15:
Hentinnen (DFID); Annabelle Moatty
- Page 16 and 17:
Friendship University of Russia, Ru
- Page 18 and 19:
List of Abbreviations and AcronymsA
- Page 20 and 21:
IRENAIRIISEALISSCITCITU-TIUCNIUUIWM
- Page 22 and 23:
USAIDVPoAVSSWBGUWCDRRWEFWFPWMOWTOWW
- Page 24 and 25:
Figure ES-0-1. Possible roles for t
- Page 26 and 27:
Figure ES-0-2. Links among SDGs thr
- Page 28 and 29:
increase either the availability or
- Page 30 and 31:
Chapter 1.The Science Policy Interf
- Page 32 and 33:
Complex relationship between scienc
- Page 34 and 35:
Communication between scientists an
- Page 36 and 37:
1.2.1. Highlighting trends and prov
- Page 38 and 39:
International, Marine Stewardship C
- Page 40 and 41:
limited. There is a relative dearth
- Page 42 and 43:
educe the time lag between science
- Page 44 and 45:
Chapter 2. Integrated Perspectives
- Page 46 and 47:
2.1.4. Recommendations by the Inter
- Page 48 and 49:
ultimate idea is systems design - t
- Page 50 and 51:
2.2. Integrated SDG perspectives in
- Page 52 and 53:
Hunger andagriculturePovertyWorld B
- Page 54 and 55:
IIASA-GEAPBLSEIOECDRITE-ALPSFEEMGSG
- Page 56 and 57:
Table 2-4. Number of models capturi
- Page 58 and 59:
In order for oceans, seas and marin
- Page 60 and 61:
fully integrated scientific assessm
- Page 62 and 63:
While some efforts are undertaken t
- Page 64 and 65:
Table 3-3. Impact of important clas
- Page 66 and 67:
Marine pollution from marine and la
- Page 68 and 69:
While the scientific coverage of th
- Page 70 and 71:
managementinitiative in BancoChinch
- Page 72 and 73:
equired, with natural and social sc
- Page 74 and 75:
Table 4-1. SDGs and DRR linkagesSDG
- Page 76 and 77:
poverty forces low-income household
- Page 78 and 79:
Figure 4-1. Economic losses relativ
- Page 80 and 81:
OECD countries and, if they are ava
- Page 82 and 83:
4.3.4. Baseline setting and assessi
- Page 84:
Using assessed levels of risk as ba
- Page 87 and 88:
Table 4-3. Disaster management cycl
- Page 89 and 90:
New sensor data also includes unman
- Page 91 and 92:
Chapter 5. Economic Growth, Inclusi
- Page 93 and 94:
Table 5-1. Industrial policy waves
- Page 95 and 96:
Figure 5-3. Number of Y02 patents p
- Page 97 and 98:
increasingly production specific an
- Page 99 and 100:
5.3. Industrialisation and social s
- Page 101 and 102:
education will either make it hard
- Page 103 and 104:
Table 5-3. UNEP’s five key types
- Page 105 and 106:
5.6. Concluding remarksThe precedin
- Page 107 and 108:
occurs despite the lower share of e
- Page 109 and 110:
LLDCs face several development chal
- Page 111 and 112:
technology-innovation (STI) policie
- Page 113 and 114:
6.2.3. Relevant publications for LD
- Page 115 and 116:
- A patent bank would help LDCs sec
- Page 117 and 118:
In comparison to the Almaty Program
- Page 119 and 120:
Box 6-6. ASYCUDA and Landlocked Cou
- Page 121 and 122:
6.4.5. The landscape of SIDS relate
- Page 123 and 124:
Table 6-2. Example of science-polic
- Page 125 and 126:
Figure 6-9. Data availability for i
- Page 127 and 128:
Review Focusing on the Least Develo
- Page 129 and 130:
Table 6-5. Coverage of SDGs in publ
- Page 131 and 132: - SYLWESTER, Kevin. Foreign direct
- Page 133 and 134: SIDS:- UNCTAD. Improving transit tr
- Page 135 and 136: Chapter 7.Science Issues for the At
- Page 137 and 138: 7.2.1. Open call for inputs to the
- Page 139 and 140: implementation (SDG17), peaceful an
- Page 141 and 142: percentage of women holding a leade
- Page 143 and 144: environment, in order to make stron
- Page 145 and 146: technology transfer. Respect for ea
- Page 147 and 148: Figure 7-5. Concentrations of plast
- Page 149 and 150: SDGs What is measured? Data source
- Page 151 and 152: UN SystementityECLAC Drafted and re
- Page 153 and 154: Figure 7-6 shows very wide ranges f
- Page 155 and 156: Table 7-8. Factors that promoted or
- Page 157 and 158: Chapter 8. New Data Approaches for
- Page 159 and 160: These novel Internet- and SMS-based
- Page 161 and 162: GabonNamibiaNigerSenegalRep CongoC
- Page 163 and 164: Figure 8-5. Poverty map for Guinea,
- Page 165 and 166: Figure 8-9. Map of internet connect
- Page 167 and 168: Box 8-11. A geographical approach t
- Page 169 and 170: There are many well established met
- Page 171 and 172: epidemics. Some African countries a
- Page 173 and 174: Figure 8-13. Data innovations cover
- Page 175 and 176: issues” in respective areas of ex
- Page 177 and 178: Notes1 United Nations, Prototype Gl
- Page 179 and 180: 51 Contributions sent by national l
- Page 181: 112 The 72 models are: AIM, ASF, AS
- Page 185 and 186: 276 A. R. Subbiah, Lolita Bildan, a
- Page 187 and 188: 354 Information available at: http:
- Page 189 and 190: African Economic Outlook, Structura
- Page 191 and 192: 512 Report Of The International Min
- Page 193 and 194: 595 Jessica N. Reimer et.al, Health
- Page 195 and 196: 671 Pulselabkampala.ug, 'UNFPA Ugan
- Page 197 and 198: 732 Climate Change timeline: (a) Sc
- Page 199 and 200: 790 Oxfam. ICT in humanitarian prac
- Page 201 and 202: 863 T. Dinku. New approaches to imp