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首页> 外文期刊>Conservation Biology >Searching for a predictive model for species richness of Iberian dung beetle based on spatial and environmental variables
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Searching for a predictive model for species richness of Iberian dung beetle based on spatial and environmental variables

机译：基于空间和环境变量寻找伊比利亚虫物种丰富度的预测模型

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In Mediterranean countries, inventories of many animal groups particularly insects, are incomplete or nonexistent. Hence, a feasible spatial picture of unequally surveyed areas is required to ascertain which faunistic surveys are good enough to produce reliable estimates of species richness. We used generalized linear models to build a multiple-regression function through which we predicted the distribution of Iberian dung beetle species richness. Given the scarcity and unevenness of the species-richness spatial distribution, the number of records of a dung beetle database (BANDASCA), falling within each of the 50 x 50 km grid squares, was chosen as a measure of the sampling effort for that square. Examining the asymptotic relationship between the number of dung-beetle species and database records for each physioclimatic Iberian subregion, we found that 82 grid squares (32% of the total) were adequately sampled. Dung-beetle species richness was related in each of these 82 cells to 24 explanatory variables. Curvilinear functions, interaction terms, and the significant third-degree polynomial terms of latitude and longitude were included to model species-richness distribution. The final model accounted for 62.4% of the total deviance after we eliminated seven outlier squares, with maximum elevation, grassland area, land-use diversity, forest area, geological diversity, interaction of terrestrial area and maximum elevation, and interaction between calcareous rock, and geological diversity and latitude being the most significant independent variables. The residuals of the function were not spatially autocorrelated, and we validated the final model by a jackknife procedure. Large and environmentally complex hotspots in the Iberian Central, Baetic, and Subbaetic mountain ranges stand out from the emerging map of species richness. Further detailed research is required to determine the complementarity of the faunas of these two main hotspots, the key question in conservation planning for a dung-feeding beetle. [References: 75]
机译：在地中海国家，许多动物特别是昆虫的清单不完整或不存在。因此，需要一个不平等的调查区域的可行空间图，以确定哪些洪水调查足以产生可靠的物种丰富度估计。我们使用广义线性模型构建了多元回归函数，通过该函数我们可以预测伊比利亚甲虫物种丰富度的分布。考虑到物种丰富度空间分布的稀缺性和不均匀性，选择了落在50 x 50 km网格正方形中的每个粪甲虫数据库（BANDASCA）的记录数作为该正方形的抽样工作量度。通过检查每个甲虫伊比利亚次区域的甲虫物种数量与数据库记录之间的渐近关系，我们发现已对82个网格正方形（占总数的32％）进行了充分采样。粪甲虫的物种丰富度在这82个细胞中的每一个中都与24个解释变量相关。包括曲线函数，相互作用项以及经度和纬度的重要三次多项式项，以对物种丰富度分布进行建模。在消除了七个异常值正方形后，最终模型占总偏差的62.4％，其中最大海拔，草地面积，土地利用多样性，森林面积，地质多样性，陆地面积和最大海拔之间的相互作用以及钙质岩之间的相互作用，地质多样性和纬度是最重要的独立变量。该函数的残差在空间上不相关，我们通过折刀程序验证了最终模型。在新兴的物种丰富地图中，伊比利亚中部，北蒂奇和亚蒂巴蒂山脉的大型且环境复杂的热点突出。需要进一步的详细研究以确定这两个主要热点的动物区系的互补性，这是饲喂甲虫的保护计划中的关键问题。 [参考：75]

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