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Book Chapter 2009

Autor: Agrawal, A. Angelsen, A.

Policy makers can improve the likelihood of success for REDD+ initiatives by incorporating success factors identified through decades of research on community forest management. These include sufficient size and clear boundaries of forests, predictability of benefit flows, local autonomy in desig...

Enlace original: https://cgspace.cgiar.org/handle/10568/20289

Investigación en Agricultura
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Agrawal, A. ,  Angelsen, A. ,  [Using community forest management to achieve REDD+ goals] ,  Using community forest management to achieve REDD+ goals
Book Chapter 2009

Autor: Angelsen, A.

Four types of policies could reduce deforestation: policies to depress agricultural rent, policies to increase and capture forest rent, policies that directly regulate land use, and cross-sector policies that underpin the first three. While payments for environmental services (PES) have clear adv...

Enlace original: https://cgspace.cgiar.org/handle/10568/20286

Investigación en Agricultura
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Angelsen, A. ,  [Policy options to reduce deforestation] ,  Policy options to reduce deforestation
Book Chapter 2009

Autor: Wertz-Kanounnikoff, S. Angelsen, A.

The global REDD+ architecture will influence the design and implementation of national REDD+ schemes. However, the nature of the global architecture is not yet clear and will probably evolve quickly over the next few years. To deal with uncertainties, countries should adopt flexible mechanisms an...

Enlace original: https://cgspace.cgiar.org/handle/10568/20282

Investigación en Agricultura
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Wertz-Kanounnikoff, S. ,  Angelsen, A. ,  [Global and national REDD+ architecture: linking institutions and actions] ,  Global and national REDD+ architecture: linking institutions and actions
Book Chapter 2012

Autor: Herold, Martin Sy, V. de Angelsen, A. Verchot, Louis V.
Enlace original: https://cgspace.cgiar.org/handle/10568/95731

Investigación en Agricultura
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Herold, Martin ,  Sy, V. de ,  Angelsen, A. ,  Verchot, Louis V. ,  [Developing REDD+ reference levels: a data-driven, stepwise framework] ,  Developing REDD+ reference levels: a data-driven, stepwise framework

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