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DESIGNING PROJECTS IN A RAPIDLY CHANGING WORLD

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BOX N<br />

The RESILIENCE ATLAS and Vital Signs Monitoring System<br />

Contributed by: Sandy Andelman and Alex Zvoleff, Conservation International<br />

In the first ‘pass’ of RAPTA, you and the stakeholders<br />

will construct conceptual models of how you think<br />

the system might work, including the key thresholds<br />

that may take the system from desired to undesired<br />

states, and vice versa. The conceptual models MUST<br />

be supported by evidence and analysis. Using traditional<br />

and local knowledge sources is important,<br />

but it may not be adequate to rely only on the perception<br />

of people (as demonstrated by some of the<br />

published Yabello studies – cross-reference Yabello<br />

Box in System Description). In addition, relying on<br />

knowledge of the past is insufficient in a rapidly<br />

changing world - what has been experienced historically<br />

will not provide a robust understanding of<br />

how a system might work in the future. Therefore,<br />

a strong basis of evidence, and a robust analysis of<br />

data across scales, are critical to support and revise<br />

the System Description and System Assessment.<br />

These can come from a range of sources, including<br />

the literature, local studies, national and regional<br />

databases. In this box, we provide an example of<br />

two important data sources for the Food Security IAP,<br />

led by Conservation International: the RESILIENCE<br />

ATLAS and the Vital Signs Monitoring System.<br />

The RESILIENCE ATLAS (http://www.RESIILIENCE<br />

ATLAS.org) is a free and open online tool that integrates<br />

and analyzes over 60 existing datasets relevant<br />

to resilience assessment and adaptation planning.<br />

The Atlas includes information on climate, land cover,<br />

production systems, population distribution, and a<br />

range of indicators derived from household survey<br />

datasets at regional, national and sub-national scales<br />

(depending on availability and resolution). The Atlas<br />

includes historical and current data on climate, as well<br />

as projections for the future climate, including change<br />

in precipitation amount and timing (change in seasonality),<br />

and shifts in monthly mean temperatures.<br />

The Atlas also includes information on other potential<br />

shocks like flooding, and on land cover, land use systems,<br />

and population distribution.<br />

The Atlas allows users, with a minimum of technical<br />

expertise, to overlay and examine datasets and conduct<br />

basic analyses within a single interface. With<br />

few exceptions, all the data in the Atlas are available<br />

for download so they can be accessed and analyzed<br />

offline if desired.<br />

The Atlas is structured to guide users through a series<br />

of steps to help them understand where particular<br />

socio-ecological systems occur, which stressors and<br />

shocks affect them, and to then support assessment<br />

of how vulnerable particular system components<br />

(e.g. specific livelihood strategies, production systems,<br />

or ecosystems) might be to these stressors<br />

and shocks and which types of assets and capital<br />

(e.g., social, natural, financial, human, manufactured)<br />

reduce that vulnerability.<br />

Vital Signs (http://www.vitalsigns.org) is a monitoring<br />

system that collects and integrates data<br />

on agriculture, ecosystems and human well-being<br />

across several African nations. While the Resilience<br />

Atlas is a tool for integrating existing data from a<br />

range of data sources, Vital Signs is a data collection<br />

program. Vital Signs regularly collects new data<br />

and calculates a range of key indicators, including:<br />

sustainable agriculture, water availability and quality,<br />

soil health, biodiversity, carbon stocks, climate<br />

resilience, household income, nutrition and market<br />

access.Vital Signs data allow geospatial linking of<br />

household to community level socio-economic data,<br />

with measures of the local environment and agricultural<br />

production data, helping to create an accurate<br />

picture of relationships between agriculture, nature<br />

and human well-being.<br />

These features make the Vital Signs data unique<br />

and important. If collected regularly into the future<br />

and focused on the key variables and thresholds (as<br />

might be defined in a robust application of RAPTA),<br />

it will enable a very powerful monitoring and assessment<br />

program. If the data are regularly reviewed<br />

and assessed, Vital Signs should be able to underpin<br />

Learning about the effectiveness of any actions and<br />

interventions, which will in turn enable adaptation of<br />

the intervention options and implementation pathways.<br />

Therefore, Vital Signs, if used in combination<br />

with RAPTA, is likely to be very important for resilience<br />

assessment and developing options and pathways.<br />

66 RAPTA guidelines for project design

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