Diversity partitioning of moorland plant communities across hierarchical spatial scales
Diversity partitioning of moorland plant communities across hierarchical spatial scales
复制标题
荒原植物群落在层次空间尺度上的多样性划分
DOI：
10.1007/s10531-012-0265-7
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发表时间：
2012
影响因子：
3.4
通讯作者：
Hikosaka K
中科院分区：
文献类型：
--
作者：
Sasaki T;Katabuchi M;Kamiyama C;Shimazaki M;Nakashizuka T;Hikosaka K
了解多样性的规模对于加强易受未来环境变化影响的亚高山沼泽生态系统的保护战略至关重要。然而，定量数据的缺乏极大地限制了这种尝试。在本研究中，我们使用了加性多样性划分框架，并量化了沼泽植物群落在层次空间尺度、样本内和样本间以及地点之间的多样性模式（对应于α和两个水平的β多样性）。沼泽地的大小明显不同（范围为 1,000-160,000 平方米），并且在不适宜居住的基质（即森林）内不同程度地相互隔离。我们发现 β 多样性成分始终较高，而局部 α 多样性成分始终低于偶然预期。我们观察到站点间尺度对总物种丰富度的重大贡献。通过关注跨多个层次空间尺度的沼泽植物群落的多样性模式，我们可以确定区域多样性最大化的尺度。我们的结果表明，保护尽可能多的沼泽地，以确保地点之间的β多样性，将有效保护总体多样性。加性多样性划分的使用是为易受未来环境变化影响的亚高山沼泽生态系统的生物保护提供策略方面向前迈出的重要一步。
Understanding of the scaling of diversity is critical to enhance conservation strategies for subalpine moorland ecosystems vulnerable to future environmental changes. However, a paucity of quantitative data strongly limits such attempts. In this study, we used an additive diversity partitioning framework and quantified diversity patterns of moorland plant communities across hierarchical spatial scales, within- and between-sample transects, and between sites (corresponding to α and two levels of β diversity). Moorland sites markedly differed in size (range 1,000–160,000 m2) and were isolated from each other to varying extents within an inhospitable matrix (i.e., forests). We found that β diversity components were consistently higher, whereas the local α diversity component was consistently lower than expected by chance. We observed substantial contribution at the between-site scale to total species richness. By focusing on diversity patterns of moorland plant communities across multiple hierarchical spatial scales, we could thus identify the scale at which regional diversity is maximized. Our results suggest that protection of as many moorland sites as possible, to ensure beta diversity between sites, will effectively conserve total diversity. The use of additive diversity partitioning is a major step forward in providing strategies for the biological conservation of subalpine moorland ecosystems vulnerable to future environmental changes.