Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles
Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles
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DOI：
10.1111/j.1472-4642.2010.00716.x
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发表时间：
2011-01-01
影响因子：
4.6
通讯作者：
Lucia Hernandez-Manrique, Olga
中科院分区：
文献类型：
--
作者：
Sanchez-Fernandez, David;Lobo, Jorge M.;Lucia Hernandez-Manrique, Olga
目的在这项研究中，我们(1)确定基于区域数据的简单物种分布模型是否提供了对潜在分布的不完整描述；(2)调查仅使用区域数据估计潜在分布的未被代表的区域是否具有空间结构和环境结构；以及(3)检验为什么区域数据可能不能充分描述潜在分布。位置伊比利亚半岛方法我们使用两个数据集(伊比利亚数据和整个范围的数据)使用多维包络过程估计了73种伊比利亚潜水甲虫的潜在分布区域。我们使用Mann-Whitney U检验来比较这些未被充分代表的地区与伊比利亚其他地区的特征(气候、数据库记录数量和人类改造土地利用的比例)。结果通过比较通过叠加使用全球或区域数据建立的预测物种分布模型而获得的物种丰富度估计，我们发现，当仅使用区域数据时，物种潜在分布的某些地区没有得到充分代表。当仅使用伊比利亚数据时，对潜在分布的不完全估计可能部分归因于有限的调查工作与独特的当地气候，但所考虑的因素本身似乎都不能完全解释这种不足。主要结论我们的结果表明，来自区域名录的物种数据可能不能完整地描述大多数物种的环境极限，导致对物种生态位的偏颇描述。基于物种环境生态位部分信息的分布模型的结果可能是不准确的。为了最大限度地减少这种误差，我们强调了考虑给定物种的所有已知种群或至少整个范围内分布的种群样本的重要性，以包括分布的环境极端情况。我们强调了一些方法论和概念性的问题，当试图从发生数据推断潜在分布时，应该考虑这些问题。
AimIn this study, we (1) determine whether simple species distribution models based on regional data provide incomplete descriptions of potential distributions; (2) investigate whether underrepresented areas where potential distributions are estimated using only regional data are spatially and environmentally structured; and (3) examine why regional data may not adequately describe potential distributions.LocationIberian Peninsula.MethodsWe used a multidimensional envelope procedure to estimate the potential distributional areas of 73 species of Iberian diving beetles (Dytiscidae) using two data sets (Iberian data and data from the entire range). We used a Mann-Whitney U-test to compare the features (climate, number of database records and proportion of human-transformed land uses) of these underrepresented areas with those of the remaining Iberian territory.ResultsBy comparing species-richness estimates obtained by overlaying predicted species distributions modelled using either global or regional data, we found that some areas of species' potential distributions are underrepresented when only regional data are used. Incomplete estimates of potential distributions when using only Iberian data may be partly attributable to limited survey efforts combined with unique local climates, but none of the considered factors by itself seems to fully explain this underrepresentation.Main conclusionsOur results show that species data from regional inventories may provide an incomplete description of the environmental limits of most species, resulting in a biased description of species' niches. The results of distribution models based on partial information about the environmental niche of a species may be inaccurate. To minimize this error, we highlight the importance of considering all known populations of a given species or at least a sample of populations distributed across the whole range, to include environmental extremes of the distribution. We highlight some methodological and conceptual concerns that should be considered when attempting to infer potential distributions from occurrence data.