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Julia Naime
Researcher, CIFOR-ICRAF
Senior Advisor, Rainforest Foundation Norway
With: Niki de Sy (WUR), Cauê Carilho (CIFOR-ICRAF), Colas Chervier
(CIFOR-ICRAF), Martin Herold (GFZ), Arild Angelsen (NMBU)
Ensuring Transparency and Accountability of
forest policies: a Deforestation Diagnostics
Framework
Introduction
• Impact evaluations highlight how context affects policy impacts
• Yet, there is no synthesis of what factors hinder or improve the impacts
of conservation policies, i.e., how impact depends on context.
• The mantra ‘Context matters!’ has been repeatedly stated for why the
impact of forest conservation measures varies greatly across locations.
• The Global Comparative Study on REDD+ (GCS REDD+) aims to fill this
gap by developing and operationalizing the diagnostics approach to
address the key question:
Which policy measures are likely to work where to reduce deforestation, in a given
context?
Context matters!
Deforestation diagnostics tells you how it matters
Policies
P1 P2 P3
Deforestation
Archetypes
(context)
A1
A2
A3
Three elements in deforestation diagnostics approach:
1. Deforestation archetypes: defined based on historical deforestation (2000-2020), deforestation
rates (after 2015), drivers of deforestation (i.e., land use change) and deforestation risk.
2. Policies for forest conservation: 1) Incentives (e.g., PES, REDD+), 2) Disincentives (e.g., Protected
Areas, fines), and 3) Enabling measures (e.g., land titling).
3. Review of the evidence base: Rigorous impact evaluation studies examining heterogenous impacts
(46 studies in total)
Deforestation
archetypes in
Africa
Archetype
Core landscapes
Moderate landscapes
Old deforestation fronts
Persistent deforestation fronts
Recent deforestation fronts
Gradual deforestation fronts
Sparse forest landscapes
Deforestation
archetypes in
Africa
Archetype
Core landscapes
Moderate landscapes
Old deforestation fronts
Persistent deforestation fronts
Recent deforestation fronts
Gradual deforestation fronts
Sparse forest landscapes
Archetype
Core landscapes
Moderate landscapes
Old deforestation fronts
Persistent deforestation fronts
Recent deforestation fronts
Gradual deforestation fronts
Sparse forest landscapes
Deforestation
archetypes in Latin
America
Global mapping of the land use change drivers in the deforestation fronts
• Pasture is a
dominant driver of
deforestation in
Latin America
• Tree plantation
dominates
deforestation in
South-East Asia
• Slash and burn
and mining
activities
associated to
grass-shrubland
• Deforestation risk was
defined based on
accessibility and
agricultural
suitability (low input
agriculture).
Global mapping of deforestation risks of core and moderate forests
Revising the evidence base
Policies
Incentives Disincentives Enabling measures
Deforestation
Archetypes
(context)
Deforestation
fronts
++ ++ NA
Core and moderate
landscapes
- NA
Sparse forest
landscapes
- - NA
• Forest interventions achieve greater conservation results where forests are under higher
deforestation pressure or risk.
• For greater policy impact, the adequate targeting of policies to forest areas that are most under
threat should be prioritized.
• Heterogenous assessments is limited, it is still difficult to draw other valid lessons about how
and under what conditions interventions may be more effective.
Context matters!
Deforestation diagnostics tells you how it matters
cifor.org | worldagroforestry.org | globallandscapesforum.org | resilientlandscapes.org
The Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) envision a more equitable world where forestry and
landscapes enhance the environment and well-being for all. CIFOR–ICRAF are CGIAR Research Centers.
cifor.org/gcs
THANK
YOU

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Ensuring Transparency and Accountability of forest policies: a Deforestation Diagnostics

  • 1. Julia Naime Researcher, CIFOR-ICRAF Senior Advisor, Rainforest Foundation Norway With: Niki de Sy (WUR), Cauê Carilho (CIFOR-ICRAF), Colas Chervier (CIFOR-ICRAF), Martin Herold (GFZ), Arild Angelsen (NMBU) Ensuring Transparency and Accountability of forest policies: a Deforestation Diagnostics Framework
  • 2. Introduction • Impact evaluations highlight how context affects policy impacts • Yet, there is no synthesis of what factors hinder or improve the impacts of conservation policies, i.e., how impact depends on context. • The mantra ‘Context matters!’ has been repeatedly stated for why the impact of forest conservation measures varies greatly across locations. • The Global Comparative Study on REDD+ (GCS REDD+) aims to fill this gap by developing and operationalizing the diagnostics approach to address the key question: Which policy measures are likely to work where to reduce deforestation, in a given context?
  • 3. Context matters! Deforestation diagnostics tells you how it matters Policies P1 P2 P3 Deforestation Archetypes (context) A1 A2 A3 Three elements in deforestation diagnostics approach: 1. Deforestation archetypes: defined based on historical deforestation (2000-2020), deforestation rates (after 2015), drivers of deforestation (i.e., land use change) and deforestation risk. 2. Policies for forest conservation: 1) Incentives (e.g., PES, REDD+), 2) Disincentives (e.g., Protected Areas, fines), and 3) Enabling measures (e.g., land titling). 3. Review of the evidence base: Rigorous impact evaluation studies examining heterogenous impacts (46 studies in total)
  • 4. Deforestation archetypes in Africa Archetype Core landscapes Moderate landscapes Old deforestation fronts Persistent deforestation fronts Recent deforestation fronts Gradual deforestation fronts Sparse forest landscapes
  • 5. Deforestation archetypes in Africa Archetype Core landscapes Moderate landscapes Old deforestation fronts Persistent deforestation fronts Recent deforestation fronts Gradual deforestation fronts Sparse forest landscapes
  • 6. Archetype Core landscapes Moderate landscapes Old deforestation fronts Persistent deforestation fronts Recent deforestation fronts Gradual deforestation fronts Sparse forest landscapes Deforestation archetypes in Latin America
  • 7. Global mapping of the land use change drivers in the deforestation fronts • Pasture is a dominant driver of deforestation in Latin America • Tree plantation dominates deforestation in South-East Asia • Slash and burn and mining activities associated to grass-shrubland
  • 8. • Deforestation risk was defined based on accessibility and agricultural suitability (low input agriculture). Global mapping of deforestation risks of core and moderate forests
  • 10. Policies Incentives Disincentives Enabling measures Deforestation Archetypes (context) Deforestation fronts ++ ++ NA Core and moderate landscapes - NA Sparse forest landscapes - - NA • Forest interventions achieve greater conservation results where forests are under higher deforestation pressure or risk. • For greater policy impact, the adequate targeting of policies to forest areas that are most under threat should be prioritized. • Heterogenous assessments is limited, it is still difficult to draw other valid lessons about how and under what conditions interventions may be more effective. Context matters! Deforestation diagnostics tells you how it matters
  • 11. cifor.org | worldagroforestry.org | globallandscapesforum.org | resilientlandscapes.org The Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) envision a more equitable world where forestry and landscapes enhance the environment and well-being for all. CIFOR–ICRAF are CGIAR Research Centers. cifor.org/gcs THANK YOU