Best of both worlds: Combining ecological and social research to inform conservation decisions in a Neotropical biodiversity hotspot

环境资源管理 生物多样性热点 生物多样性 优先次序 保护生物学 生态学 地理 管理科学 环境科学 经济 生物
作者
Kátia Maria Paschoaletto Micchi de Barros Ferraz,Silvio Marchini,Juliano André Bogoni,Roberta Montanheiro Paolino,Mariana Landis,Roberto Fusco‐Costa,Marcelo Magioli,Letícia Prado Munhoes,Bruno H. Saranholi,Yuri Geraldo Gomes Ribeiro,Juan Andrea de Domini,Gabriel Shimokawa Magezi,João Carlos Zecchini Gebin,Hiago Ermenegildo,Mauro Galetti,Mauro Galetti,Alexandra Zimmermann,Adriano Garcia Chiarello
出处
期刊:Journal for Nature Conservation [Elsevier]
卷期号:66: 126146-126146 被引量:5
标识
DOI:10.1016/j.jnc.2022.126146
摘要

Conservation decision is a challenging and risky task when it aims at prioritizing species or protected areas (PAs) to prevent extinction while ensuring fair treatment of all stakeholders. Better conservation decisions are those made upon a broader evidence base that includes both ecological and social considerations. However, in some of the most biodiverse ecosystems on Earth — tropical forests, for instance — multicriteria decision-making has been constrained by the following (i) ecological and social datasets available have been obtained in an independent, non-integrated manner, with social data typically more scarce than ecological ones, and (ii) capacity in social and/or interdisciplinary data analysis among decision-maker is limited. We describe a conservation prioritization exercise that combined findings from independent ecological and social research conducted in the Brazilian Atlantic Forest, and propose methods to integrate, analyze and visualize data. We found that the outcomes based on combined ecological and social research findings were, in some cases, different from those based on any of these lines of evidence alone. Indeed, the input from relatively basic social research significantly changed the outcomes of decision-making based on the results of ecological research. Results corroborate the importance and cost-effectiveness of broadening the interdisciplinary evidence base for conservation decision-making, even when social data is scarce and analytical capacity is limited.
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