4.7 Article

Publication trends in global biodiversity research on protected areas

期刊

BIOLOGICAL CONSERVATION
卷 281, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biocon.2023.109988

关键词

Biodiversity knowledge; Conservation; Geographic bias; Literature review; Shortfalls; Taxonomic bias

向作者/读者索取更多资源

One of the main strategies to reduce global loss of biodiversity is the establishment of protected areas. However, biodiversity knowledge is biased taxonomically and geographically, and there are shortfalls and biases in the research conducted in protected areas. Reducing these biases and shortfalls is essential for more effective use of limited conservation resources.
One of the main strategies to reduce the global loss of biodiversity has been the establishment of protected areas (PAs). High quality biodiversity knowledge is essential to successfully design PAs and PA networks, and to assess their conservation effectiveness. However, biodiversity knowledge is taxonomically and geographically biased. Even though PAs are typically more intensively surveyed than surrounding landscapes, they cannot avoid biodiversity knowledge shortfalls and biases. To investigate this, we performed a systematic literature review to assess publication trends in global biodiversity research taking place in PAs. Our data indicate that animals are more studied than plants, with vertebrates overrepresented in relation to invertebrates. Biodiversity in PAs has been mainly measured taxonomically (species richness or species diversity), while functional and phylogenetic diversity have rarely been considered. Finally, as predicted, there was a geographic bias towards European and USA terrestrial protected areas. These observed trends mirror more general studies of biodiversity knowledge shortfalls and could have direct negative consequences for conservation policy and practice. Reducing these biases and shortfalls is essential for more effective use of limited conservation resources.

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

4.7
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