CCPortal
DOIhttps://doi.org/10.1594/PANGAEA.820711
A return-on-investment framework to identify conservation priorities in Africa
Tear; Timothy H; Stratton; Bradford N; Game; Edward T; Brown; Matthew T; Apse; Colin D; Shirer; Rebecca R
发布日期2014-02-04
数据集类型dataset
英文简介Environmental conservation activities must continue to become more efficient and effective, especially in Africa where development and population growth pressures continue to escalate. Recently, prioritization of conservation resources has focused on explicitly incorporating the economic costs of conservation along with better defining the outcomes of these expenditures. We demonstrate how new global and continental data that spans social, economic, and ecological sectors creates an opportunity to incorporate return-on-investment (ROI) principles into conservation priority setting for Africa. We suggest that combining conservation priorities that factor in biodiversity value, habitat quality, and conservation management investments across terrestrial, freshwater, and coastal marine environments provides a new lens for setting global conservation priorities. Using this approach we identified seven regions capturing interior and coastal resources that also have high ROI values that support further investment. We illustrate how spatially explicit, yet flexible ROI analysis can help to better address uncertainty, risk, and opportunities for conservation, while making values that guide prioritization more transparent. In one case the results of this prioritization process were used to support new conservation investments. Acknowledging a clear research need to improve cost information, we propose that adopting a flexible ROI framework to set conservation priorities in Africa has multiple potential benefits.
语种英语
国家国际
学科大类气候变化
学科子类气候变化
文献类型数据集
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/217582
推荐引用方式
GB/T 7714
Tear,Timothy H,Stratton,et al. A return-on-investment framework to identify conservation priorities in Africa.2014-02-04.https://doi.org/10.1594/PANGAEA.820711.
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