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Decision Support for
Mainstreaming and Scaling out
of Sustainable Land Management GCP/GLO/337/GFF
DS-SLM
Stefan Schlingloff
Land and Water Division (FAO)
• GEF grant: USD 6 116 730
~64% country implementation
+ Cofinancing: USD 38 097 347
• Duration: 3 years (2015-2018)
• GEF Agency = FAO
• Executing Agencies:
• FAO (Land and Water Division, (Sub-)Regional Offices, FAOR)
• WOCAT (Center for Development and Environment, Univ. of Bern)
• National Lead Agencies in 15 countries:
Argentina, Bosnia-Herzegovina, Bangladesh, China, Colombia,
Ecuador, Lesoto, Morocco, Nigeria, Panamá, Philippines,
Thailand, Tunisia, Turkey, Uzbekistan
DS-SLM
Objetivos globales
Global Environmental Objective:
contribute to combating desertification, land
degradation and drought (DLDD) worldwide through
scaling up sustainable land management best practices
with evidence based and informed decision making
Global Development Objective:
increase the provision of ecosystem goods and services
and enhance food security in countries and regions
affected by DLDD through the promotion of SLM,
integrated management, and efficiency in the use of
natural resources
DS- SLM
… delivered through 3 interlinked components:
1. national and local decision-support on combating
DLDD and promoting mainstreaming and scaling up
of SLM best practices
2. global DLDD and SLM knowledge management
and decision-support platform
3. monitoring and evaluation and dissemination of
project results
DS- SLM
Outcome 1.1
• SLM best practices mainstreamed into national and/or
sub-national agricultural and environmental plans and
investment frameworks, policies and programs to address
DLDD in 15 countries.
Indicators and targets:
• A scoring system for (sub-)national ‘mainstreaming’ will be
developed with the countries during project start up
Expected Outcomes
Outcome 1.2
• Up-scaling of SLM best practices catalysed in countries
through targeted actions on the ground and strategic
decision making from local to national levels.
Indicators and targets: • At least 500 ha under SLM demonstration at the end of project year, up-scaling to
at least 500 000 ha under SLM by project end
• 5 million ha SLM mainstreamed in plans for implementation during 10 years after
project end;
• increase in vegetation cover (10% cropland, 25% pasture land, x% forest land)
• xx ha of productive land with increased (agro-)biodiversity (# species; share of
annual to perennial species; area of forest/ razing land under regeneration)
• xx% carbon sequestration increase by LUS (Land Use System)
• 10% increase in productivity by LUS
• 10% increase in population with improved access to water in demonstration areas
Expected Outcomes
Outcome 2.1
• Knowledge management and decision-support system
and tools used to support evidence-based strategy
formulation at national level for promoting SLM and
contributing to global processes to address DLDD
Indicators and targets:
• 15 countries enabled to assess land area under SLM and
the benefits generated
• 15 countries able to report (quantitatively and qualitatively)
on progress in addressing DDLD through demonstrating,
upscaling and mainstreaming SLM
• 45 institutions in participating country using the federated
knowledge platform
Expected Outcomes
http://www.fao.org/nr/lada/ • Methodology and Results
• Mapping Land Use Systems at
Global and Regional level for
Land Degradation Assessment
Analysis
• Questionnaire for Mapping Land
Degradation and SLM (QM)
• Manual for Local Level
Assessment of Land Degradation
and SLM, Part 1+2
Assessment of LD and SLM with
local experts (multi-disciplinary)
• Participatory Expert assessment workshops using LADA-WOCAT mapping method (QM) and expert knowledge to analyze:
- Trends in the Land Use System (LUS)
- LD types, extent, degree, rate, indirect and direct causes
- SLM objectives, measures, extent, effectiveness, trends
- LD and SLM impacts on ESS
- future options (expert recommendations)
Comparison of degradation
vs conservation, UG
Effectiveness of existing SLM
technologies and measures
addressing biological degradation
Severity of
Biological degradation
-The effectiveness of SLM practices that address biological degradation is low in vast areas
- SLM practices are not so related to severity of biological degradation
These maps can be used to select areas for targeted interventions
River basin
District
Watershed
Catchment
Farm
Farmers Community Technical National or River Basin
Herders Local authorities Sectors Authority
Scaling up requires collaboration among multiple actors / levels
better data and information on land and water resources
better governance, planning, management
International partners
• Global Soil Partnership (GSP) and Regional soil Partnership
• ISRIC (soil information & mapping; soil databases, research, training, network)
• UNCCD CST-SKBP (knowledge brokering system) (SLM BP reporting; access to
& use of information on DLDD and Global Mechanism of the UNCCD
• WOCAT consortium partners (CGIAR system wide CRPs; GIZ, SDC, ICARDA,
ICIMOD, CIAT and CIAT Soils)
• Mountain Partnership and Mountain Societies Research Institute
• UNEP Economic Assessment of DLDD (ELD)
Actors – Stakeholders In countries
• Lead Ministries/Departments with other
Ministries/Departments
• NGOs and Civil Society Organizations (CSOs)
• Local Land User Organizations
• Provincial, Regional and Local Governments in each country
• National academic and educational institutions
• Regional and sub-regional partners
• Great Green Wall Initiative and EU/ ACP project Action against desertification for
sustainable livelihoods and resilient and productive landscapes (FAO with AUC,
GM/ UNCCD, Walloon region Belgium & Royal Botanic Gardens of Kew)
• TerrAfrica/ NEPAD/World Bank
• CACILM: Central Asian Countries Initiative for Land Management
• NGOs and Networks
• DRYNET
• CARI and Both Ends - coordinating agencies
• DesertNet International
• Landscape, People, Food and Nature Initiative (LPFN) led by EcoAgriculture
Partners
Actors – Stakeholders (2)
Model International
experts
input
output
2. Land use systems
Survey populations
local experts
QM National
experts
1. Data bases collection
GLOBAL (SUB) NATIONAL
LOCAL
3. Expert analysis and modeling
4. Land degradation assessment process/trends status/ response
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
Male Female
Gender
Po
pu
lati
on 0-4
5-14
15-34
35-64
Over 65
Methodology
at scale