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How community forest management performs when REDD+ payments fail
by
Mulder, Monique Borgerhoff
, Collins, Amy C
, Thorne, James
, Salerno, Jonathan
, Grote, Mark N
, Caro, Tim
, Ghosh, Aniruddha
in
Carbon
/ Carbon sequestration
/ climate change mitigation
/ co-benefits
/ community forest management
/ Deforestation
/ Developing countries
/ Ecosystem services
/ Emissions
/ Emissions control
/ Forest management
/ Forests
/ Human populations
/ Incentives
/ Landsat
/ Landsat satellites
/ LDCs
/ Payments
/ Population growth
/ Random variables
/ REDD
/ Remote sensing
/ Satellite imagery
/ socio-ecological systems
/ statistical matching
2022
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How community forest management performs when REDD+ payments fail
by
Mulder, Monique Borgerhoff
, Collins, Amy C
, Thorne, James
, Salerno, Jonathan
, Grote, Mark N
, Caro, Tim
, Ghosh, Aniruddha
in
Carbon
/ Carbon sequestration
/ climate change mitigation
/ co-benefits
/ community forest management
/ Deforestation
/ Developing countries
/ Ecosystem services
/ Emissions
/ Emissions control
/ Forest management
/ Forests
/ Human populations
/ Incentives
/ Landsat
/ Landsat satellites
/ LDCs
/ Payments
/ Population growth
/ Random variables
/ REDD
/ Remote sensing
/ Satellite imagery
/ socio-ecological systems
/ statistical matching
2022
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How community forest management performs when REDD+ payments fail
by
Mulder, Monique Borgerhoff
, Collins, Amy C
, Thorne, James
, Salerno, Jonathan
, Grote, Mark N
, Caro, Tim
, Ghosh, Aniruddha
in
Carbon
/ Carbon sequestration
/ climate change mitigation
/ co-benefits
/ community forest management
/ Deforestation
/ Developing countries
/ Ecosystem services
/ Emissions
/ Emissions control
/ Forest management
/ Forests
/ Human populations
/ Incentives
/ Landsat
/ Landsat satellites
/ LDCs
/ Payments
/ Population growth
/ Random variables
/ REDD
/ Remote sensing
/ Satellite imagery
/ socio-ecological systems
/ statistical matching
2022
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How community forest management performs when REDD+ payments fail
Journal Article
How community forest management performs when REDD+ payments fail
2022
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Overview
The reduced emissions in deforestation and degradation (REDD+) initiative uses payments for ecosystem services as incentives for developing countries to manage and protect their forests. REDD+ initiatives also prioritize social (and environmental) co-benefits aimed at improving the livelihoods of communities that are dependent on forests. Despite the incorporation of co-benefits into REDD+ goals, carbon sequestration remains the primary metric for which countries can receive payments from REDD+, but after more than 10 years of REDD+, many site-specific programs have failed to complete the carbon verification process. Here, we examine whether the REDD+ social co-benefits alone are sufficient to have slowed deforestation in the absence of carbon payments on Pemba, Tanzania. Using satellite imagery (Landsat archive), we quantified forest cover change for the period before (2001–2010) and after (2010–2018) the launch in 2010–2011 of Pemba island’s REDD+ readiness project. We then compared rates of forest cover change between shehia (administrative units) that were part of REDD+ readiness intervention and those that were not, adjusting for confounding variables and the non-random selection of REDD+ shehia with a statistical matching procedure. Despite considerable variation in forest outcomes among shehia , the associated co-benefits with the Pemba REDD+ project had no discernible effect on forest cover change. Likewise, we did not detect an effect of socioecological covariates on forest cover change across all shehia , though island-wide human population growth since 2012 may have played a role. These findings are unsurprising given the failure to secure carbon payments on Pemba and indicate that co-benefits alone are insufficient to reduce deforestation. We conclude that better oversight of all-involved parties is needed to ensure that REDD+ interventions satisfactorily conclude the process of securing a mechanism for carbon payments, if slowing deforestation is to be achieved.
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