Biodiversity Conservation in Metacommunity Networks: Linking Pattern and Persistence
Biodiversity Conservation in Metacommunity Networks: Linking Pattern and Persistence
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DOI：
10.1086/659946
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发表时间：
2011-06-01
影响因子：
2.9
通讯作者：
Economo, Evan P.
中科院分区：
文献类型：
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作者：
Economo, Evan P.
保护科学的一个中心目标是确定最重要的栖息地斑块，以维持景观上的生物多样性。空间生物多样性格局通常用于此类评估，具有独特多样性的斑块通常优先于与其他地区具有高度社区相似性的斑块。这强调了生物多样性的代表性，但移除一个补丁可能会对剩余生态群落的生物多样性持久性产生级联效应。生态位理论提供了一个机制的路线连接的生物多样性格局的景观与随后的动态多样性丧失后，栖息地退化。使用空间显式中性理论，我专注于空间格局的多样性和相似性的扩散网络的结构，而不是环境梯度产生的情况。我发现，在生物多样性的代表性的收益是无效的损失，持久性，因此，去除补丁的影响，metacompatibility多样性基本上是独立的互补性或其他生物多样性模式。在这种情况下，最大限度地扩大保护区而不是生物多样性的代表性是长期保持多样性的关键。这些结果突出了需要更广泛地了解保护范式如何在不同的元生态动态模型下进行。
A central goal of conservation science is to identify the most important habitat patches for maintaining biodiversity on a landscape. Spatial biodiversity patterns are often used for such assessments, and patches that harbor unique diversity are generally prioritized over those with high community similarity to other areas. This places an emphasis on biodiversity representation, but removing a patch can have cascading effects on biodiversity persistence in the remaining ecological communities. Metacommunity theory provides a mechanistic route to the linking of biodiversity patterns on a landscape with the subsequent dynamics of diversity loss after habitat is degraded. Using spatially explicit neutral theory, I focus on the situation where spatial patterns of diversity and similarity are generated by the structure of dispersal networks and not environmental gradients. I find that gains in biodiversity representation are nullified by losses in persistence, and as a result the effects of removing a patch on metacommunity diversity are essentially independent of complementarity or other biodiversity patterns. In this scenario, maximizing protected area and not biodiversity representation is the key to maintaining diversity in the long term. These results highlight the need for a broader understanding of how conservation paradigms perform under different models of metacommunity dynamics.