4.5 Article

Trade-offs in linking adaptation and mitigation in the forests of the Congo Basin

期刊

REGIONAL ENVIRONMENTAL CHANGE
卷 17, 期 3, 页码 851-863

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10113-016-1080-6

关键词

Adaptation; Forests; Climate change; Trade-offs; Livelihoods; Congo Basin

资金

  1. CIFOR (Yaounde)
  2. Stockholm Environment Institute (Oxford)
  3. ROSE
  4. INDEFOR
  5. African Development Bank grant
  6. SEI

向作者/读者索取更多资源

Recent discussions on forests and climate change have highlighted the potential for conservation of tropical forests to contribute synergistically to both mitigation (reducing emissions of greenhouse gases) and adaptation ( increasing capacity to cope with changing climate conditions). Key mechanisms through which adaptive advantages might be gained include the potential for forest resources to support livelihoods in the context of climatic strains on agriculture and the protection that intact forest ecosystems might provide against landslides, flash floods and other hazards related to extreme weather. This paper presents findings from field research with forest communities in three areas of the Congo Basin in Central Africa, in which the adaptive role and potential of forests in these respects is critically analysed. The investigation was carried out through a combination of structured and semi-structured qualitative techniques within six villages in Cameroon, Equatorial Guinea and Rwanda. The findings of the research highlight the need to understand both the limits of synergy, and the constraints and trade-offs for rural livelihoods that may be associated with a forest conservation agenda driven by the additional impetus of carbon sequestration. The search for synergy may be conceptually laudable, but if forest management actions do not take account of on-the-ground contexts of constraints and social trade-offs then the result of those actions risks undermining wider livelihood resilience.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据