Development of a Global Indicator System - UNCCD

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Develop global- and project-level indicators to measure global ... Proportion of total water resources used (as percentage of total water available). % of rural ...
Ensuring Impacts from SLM – Development of a Global Indicator System (KM: Land Initiative)

Main objective of the Project 

Develop global- and project-level indicators to measure global environmental benefits and related local livelihood benefits derived from SLM projects (Under GEF LD Focal Area)

Methodology 

Develop an universal SLM framework (integration of DPSIR and MA assessment frameworks) to understand the interactions and connections between different indicator levels and to provide an integrated impact analysis of SLM interventions



Expert consultations (guided by expert advisory group and UN interagency working group)



Review of current use of indicators in ongoing GEF projects under the land degradation focal area (LDFA)

GLOBAL INDICATORS

 Land

Cover and Land Use  Land Productivity  (Carbon Sequestration)  Water Availability  Human Well-being

Universal SLM Framework Human well-being & Poverty reduction



i) the utilization of natural resources applies Pressures and Driving forces on the system, ii) changes in the State of the system.

Driving Force (Indirect drivers)

Pressure (Direct drivers)

Response

DPSIR Framework: a chain reaction process:

iii) changes produce Impacts, which leads to Responses that by a feedback loop interact with the Driving forces, the Pressures, the State and the Impacts

State



Impact on Ecosystem Services (provisioning, regulating, cultural, supporting)



MA framework: link between environmental services and human wellbeing (integrating the biophysical and socio-economic factors as well as the range of temporal and spatial scales of the phenomenon) Hybrid SLM framework: drawn from a consideration of the foci on ecosystem services and human-well-being components of the Millennium Ecosystem Assessment with the more biophysical processes and drivers of the DPSIR framework

Proposed Project Level Indicators Core Indicators Land cover

Measurable Indicators Land cover, differentiating between water surfaces, built land, bare land, cropland, forestland, pasture LUS for projects operating at land use level

Carbon sequestration

Total emission reductions (ton of CO2)

Land productivity

NPP (NDVI corrected) Annual agricultural production data including arable, livestock and forest crop production data Number of crop varieties species, etc.

Water availability Human Wellbeing

Proportion of total water resources used (as percentage of total water available) % of rural population with access to (safe) drinking water Percentage of rural population below the poverty datum (fixed general datum) Maternal health Proportion of chronic undernourished children under 5 in rural areas

Proposed SLM Impact Indicator System Global Indicators to capture Global environmental Improvements achieved through SLM Present coherent information on impacts to inform GEF decision-making

 Small suite of common indicators eg 2 to be applied within the projects overall monitoring strategy Harmonized tracking tool

Source: KM:Land Prodoc

Contextual indicators Core indicator

Sub-indicators

Rainfall

30-years of mean monthly rainfall (for near stations/gridded) Extreme natural events e.g. floods, storms, fires, droughts, etc.

Extreme natural events Human-induced extreme events Population density Local market price

Human induced extreme events e.g. violent conflicts, in-/out-migration, civil unrest, market crisis, etc Population density (number of inhabitants per surface unit within an administrative region) Local, national and global prices for key agricultural inputs and outputs

Pilot Testing SLM Indicators Findings KM:Land Project Team

PILOT TESTING SLM INDICATORS: OBJECTIVES TO VERIFY THE EXTENT TO WHICH THE INDICATORS ARE:

Specific:  Measurable:  Achievable:  Relevant:  Timebound: 

concise, without ambiguities, common understanding of indicator

quantifiable, verifiable, common understanding of ways to measure

required data and information can be collected in five existing projects

provide information that is relevant to the project and stakeholders

timebound, reflects changes, can be reported at requested times

PILOT TESTING PROCESS AND METHODS       

Strategy UNDP-GEF Projects in 4 Countries: (Case Selection) SW Tajikistan (May) Questionnaire Namibia (July) Email contact Senegal (August) Field missions Dominican Republic (Sept) Other sources Reporting

Methodology 







Review of project documents and project implementation reports (what indicators level of monitoring) + review of MDG documents Gap analysis focusing on data available and data required for the indicators Questionnaire on anticipated effects of projects in relation to indicators and availability of information required to report on indicators 5 day fact finding mission to each country and some project sites to:  Workshop to discuss indicators  Visit to sites  Visits to partners and national and international institutions to explore availability of information  Discussions on measurability, achievability

Methodology    

Iterative exchange on mission reports with project teams Reflective discussions with project teams on the relevance of the indicators, Potential resource requirements to track proposed indicators project and long term Assessment of time bound dimensions of the indicators

SUMMARY FINDINGS Relevance Land Cover

Measurabilit y

Achievabilit y

Land Use Land Management Practices Carbon Sequestration Woody Biomass Production

?

Livestock Production

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Agricultural Production Water Availability

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Access to Safe Water % Below Rural Poverty Line Under 5 Malnutrition

?

?

x

Maternal Mortality

?

?

x

Summary of pilot testing







Most of the selected indicators were directly relevant to the projects and could be measured The main exceptions concerned the MDG-related indicators. These were less directly relevant to the projects, and appeared less likely to show beneficial results of SLM, or to meaningfully inform the project management Indicators relating to productivity and water availability were conceptually demanding, and potentially costly in terms of time and resources.

THANKS FOR YOUR ATTENTION