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Modelling oldfield species richness in a mountain area

机译:模拟山区的老田物种丰富度

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This paper is an attempt, using statistical modelling techniques, to understand the patterns of vascular plant species richness in mountain pastures ensuing from agriculture abandonment. Species richness was measured in 10 x 10 m plots and the explanatory factors used in the models were physical variables calculated from a digital terrain model (DTM) and vegetation, lithology, and administrative regions maps all constructed in a 100 m-resolution GIS environment. Poisson regressions, a particular type of GLM (generalized linear models), were used to construct the models using a forward stepwise procedure. The resulting model included three topo-ecological variables derived from the DTM (mean annual rainfall, specific catchment area and distance from the nearest watercourse) and accounted for 70% of the total variability. Maximum species richness occurred at intermediate rainfall levels, at topographic positions with relatively little drainage or in areas distant from watercourses. The model is discussed in the context of current theories on species richness.
机译:本文是尝试使用统计建模技术来了解由于农业遗弃而导致的山区牧场中维管植物物种丰富度的模式。在10 x 10 m的地块中测量物种丰富度,模型中使用的解释性因素是根据数字地形模型(DTM)计算的物理变量以及植被,岩性和行政区域地图,所有这些都在100 m分辨率的GIS环境中构建。 Poisson回归是GLM的一种特殊类型(广义线性模型),用于使用逐步逐步过程来构建模型。结果模型包括从DTM得出的三个地形生态变量(平均年降雨量,特定集水区和距最近河道的距离),占总变异性的70%。最大的物种丰富度出现在中等降雨水平,排水相对较少的地形位置或远离水道的地区。在当前有关物种丰富性的理论的背景下讨论了该模型。

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