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CIFOR-ICRAF aborda retos y oportunidades locales y, al mismo tiempo, ofrece soluciones a los problemas globales relacionados con los bosques, los paisajes, las personas y el planeta.

Aportamos evidencia empírica y soluciones prácticas para transformar el uso de la tierra y la producción de alimentos: conservando y restaurando ecosistemas, respondiendo a las crisis globales del clima, la malnutrición, la pérdida de biodiversidad y la desertificación. En resumen, mejorando la vida de las personas.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

Cost-benefit analysis of landscape restoration: A stocktake

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With the increase in demand for landscape restoration and the limited resources available, there is need for economic analysis of landscape restoration to help prioritize investment of the resources. Cost-benefit analysis (CBA) is a commonly applied tool in the economic analysis of landscape restoration, yet its application seems limited and varied. We undertake a review of CBA applications to understand the breadth, depth, and gaps. Of the 2056 studies identified in literature search, only 31 met our predefined criteria. Three studies offered a global perspective, while more than half were conducted in Africa. Only six countries benefit from at least 2 CBA studies, including Brazil, Ethiopia, Kenya, Vietnam, South Africa, and Tanzania. About 60% focus on agroforestry, afforestation, reforestation, and assisted natural regeneration practices. Only 16% covered all cost categories, with opportunity costs being the least covered. Eighty-four percent apply direct use values, while only 16% captured the non-use values. Similarly, lack of reliable data due to predictions and assumptions involved in data generation influenced CBA results. The limited number of eligible studies and the weaknesses identified hereinabove suggest strong need for improvements in both the quantity and quality of CBA to better inform planning, policies, and investments in landscape restoration. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

DOI:
https://doi.org/10.3390/land9110465
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    Año de publicación

    2020

    Autores

    Wainaina, P.; Minang, P.A.; Gituku, E.; Duguma, L.

    Idioma

    English

    Palabras clave

    cost analysis, ecological restoration, landscape conservation, economic impact

    Geográfico

    Brazil, Ethiopia, Kenya, Viet Nam, Republic of South Africa, Tanzania

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