Selection of sampling sites for biodiversity inventory: Effects of environmental and geographical considerations
Selection of sampling sites for biodiversity inventory: Effects of environmental and geographical considerations
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DOI：
10.1111/2041-210x.13869
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发表时间：
2022-04
影响因子：
6.6
通讯作者：
C. Nuñez-Penichet;M. Cobos;Jorge Soberón;Tomer Gueta;N. Barve;V. Barve;Adolfo G. Navarro‐Sigüenza;A. Peterson
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文献类型：
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作者：
C. Nuñez-Penichet;M. Cobos;Jorge Soberón;Tomer Gueta;N. Barve;V. Barve;Adolfo G. Navarro‐Sigüenza;A. Peterson
面对全球变化，生物多样性清查是保护生物学面临的主要挑战之一。物种存在于两个空间中，这两个空间以所谓的哈钦森二元性联系在一起：地理空间中的分布和环境空间中的生态位。基于双空间分布的想法，我们探讨了使用不同方法选择生物多样性清单地点的影响。我们结合了经验方法和统计方法，以便根据地理和环境考虑之一或两者来选择生物多样性清查地点。这些方法适用于四个示例国家的选定清单地点。在我们的一个例子中，我们测试了不同方法在生物多样性采样方面的有效性。随机且地理上统一的选择通常偏向于该地区最常见的环境；旨在对环境进行统一采样的选择在空间上集中在地理背景高度异质性的区域。当选择环境统一时，考虑环境的不同地理分布有助于更广泛地覆盖地理区域。一般来说，考虑到环境条件而选择的站点组在对感兴趣区域的已知生物多样性进行采样方面表现更好。我们的结果强调了在选择地点时考虑环境和地理条件对最终清单有效性的好处。我们在 r 包生物调查中实施的工具将帮助研究人员设计生物多样性调查系统，同时考虑哈钦森二元性及其建议的关键考虑因素。
Biodiversity inventory is among the major challenges for conservation biology in the face of global change. Species exist in two spaces that are linked in the so‐called Hutchinsonian Duality: distributions in geographical space and ecological niches in environmental space. We explore implications of using distinct methods to select locations for biodiversity inventories, based on this idea of two‐space distributions. We combined empirical and statistical methods to facilitate selecting localities for biodiversity inventory based on either or both of geographical and environmental considerations. These approaches were applied to select sites for inventory in four example countries. For one of our examples, we tested how effective distinct methods were in sampling biodiversity. Random and geographically uniform selections are generally biased towards the most common environments in the regions; selections aiming for uniform sampling of environments are concentrated spatially in areas of high heterogeneity in geographical context. Considering disparate geographical distributions of environments helped to cover geographical areas more broadly when selections were environmentally uniform. Generally, sets of sites selected considering environmental conditions perform better in sampling known biodiversity in regions of interest. Our results underline the benefits of considering environmental and geographical conditions when selecting sites on the effectiveness of resulting inventories. Our tools, implemented in the r package biosurvey, will help researchers to design biodiversity survey systems taking into account the Hutchinsonian Duality and the crucial considerations that it suggests.