A comparison of methods for mapping species ranges and species richness

A comparison of methods for mapping species ranges and species richness
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DOI:
10.1111/j.1466-8238.2006.00257.x
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发表时间:
2006-11-01
影响因子:
6.4
通讯作者:
Hijmans, Robert J.
Hijmans, Robert J.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Graham, Catherine H.;Hijmans, Robert J.

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目的物种丰富度地图是应用研究和保护规划的基础,也是研究丰富度模式和形成这些模式的过程的理论研究的基础。用于创建丰富度图的方法可能会影响此类研究的结果,但这些方法之间的差异尚未得到充分评估。我们调查如何不同的方法映射物种的范围可以影响模式的丰富度,在三个空间resolutions.Location加州,美国。方法我们创建了丰富度地图覆盖个别物种的范围地图陆生两栖动物和爬行动物。我们用于创建范围的方法包括:点到网格地图,通过将物种出现的点观察与网格重叠并确定每个单元格的存在或不存在而获得;专家绘制的地图;以及通过物种分布建模获得的地图。我们还使用了一种混合方法,将所有三种方法的数据合并在一起。我们评估的相关性和相似性的空间格局的丰富度与这四种方法创建的地图在三个不同resolution.Results丰富度与不同的方法创建的地图更相关,在较低的空间分辨率比在较高的分辨率。在所有分辨率下,点到网格丰富度图估计的物种丰富度最低,而来自物种分布模型的丰富度最高。专家绘制的地图和混合地图显示中间层次的丰富,但有不同的空间格局的物种丰富度从那些来自与其他methods.Main结论即使在相对较好的研究领域,如加州,不同的数据源可以导致相当不同的地图的物种丰富度。评估创建丰富度图的不同方法的优点和缺点可以为选择最适合给定应用和区域的方法提供指导。
Aim Maps of species richness are the basis for applied research and conservation planning as well as for theoretical research investigating patterns of richness and the processes shaping these patterns. The method used to create a richness map could influence the results of such studies, but differences between these methods have been insufficiently evaluated. We investigate how different methods of mapping species ranges can influence patterns of richness, at three spatial resolutions.Location California, USA.Methods We created richness maps by overlaying individual species range maps for terrestrial amphibians and reptiles. The methods we used to create ranges included: point-to-grid maps, obtained by overlaying point observations of species occurrences with a grid and determining presence or absence for each cell; expert-drawn maps; and maps obtained through species distribution modelling. We also used a hybrid method that incorporated data from all three methods. We assessed the correlation and similarity of the spatial patterns of richness maps created with each of these four methods at three different resolutions.Results Richness maps created with different methods were more correlated at lower spatial resolutions than at higher resolutions. At all resolutions, point-to-grid richness maps estimated the lowest species richness and those derived from species distribution models the highest. Expert-drawn maps and hybrid maps showed intermediate levels of richness but had different spatial patterns of species richness from those derived with the other methods.Main conclusions Even in relatively well-studied areas such as California, different data sources can lead to rather dissimilar maps of species richness. Evaluating the strengths and weaknesses of different methods for creating a richness map can provide guidance for selecting the approach that is most appropriate for a given application and region.