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首页> 外文期刊>Journal of Vegetation Science >Coarse-scale plant species richness in relation to environmental heterogeneity
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Coarse-scale plant species richness in relation to environmental heterogeneity

机译:与环境异质性有关的粗尺度植物物种丰富度

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We test to what extent mean environmental conditions and environmental heterogeneity are related to species richness in a regular geographical grid system (UTM) of 10 km x 10 km in the NE Iberian Peninsula (i.e. Catalonia, ca. 31900 km(2)). Species richness of each UTM quadrat was estimated by compiling a large database (more than a million records) from bibliographic references and atlases. Mean environmental conditions of each quadrat were derived from climatic maps. Environmental heterogeneity was estimated from the diversity of geological substrates and climatic classes in each quadrat. The increase in effective (real) area due to topographic complexity was also considered (derived from the digital elevation model). The statistical analysis was performed by a weighted analysis of deviance assuming a negative binomial error distribution. The results suggest that species richness in the study area is a function of both within-quadrat heterogeneity (specifically, effective area, heterogeneity of geological substrates, heterogeneity of January temperature) and mean environmental conditions (mean annual temperature, Thornthwaite moisture index and aspect). All these parameters showed a positive relationship with species richness. Quadrat heterogeneity accounted for ca. 2/3 of the explained deviance. suggesting the importance of environmental heterogeneity when using a geographical grid system. The study fits well with earlier results on the importance of climatic parameters on plant species richness and provides one of the few rigorous, quantitative, coarse-scale studies testing environmental heterogeneity in plant species richness.
机译:我们在东北伊比利亚半岛(即加泰罗尼亚,约31900公里(2))的10 km x 10 km的常规地理网格系统(UTM)中测试环境条件和环境异质性与物种丰富度相关的程度。通过根据书目参考文献和地图集汇编一个大型数据库(超过一百万条记录),可以估算每个UTM样方的物种丰富度。每个方类的平均环境条件均来自气候图。根据每个样方的地质基质和气候类别的多样性来估计环境异质性。还考虑了由于地形复杂性导致的有效(实际)面积的增加(来自数字高程模型)。假设负二项式误差分布,通过偏差偏差的加权分析进行统计分析。结果表明,研究区物种丰富度是四象限内异质性(特别是有效面积,地质基质异质性,一月温度异质性)和平均环境条件(平均年温度,Thornthwaite湿度指数和纵横比)的函数。 。所有这些参数与物种丰富度呈正相关。 Quadrat异质性约占。解释的偏差的2/3。建议使用地理网格系统时环境异质性的重要性。该研究与气候参数对植物物种丰富度的重要性的早期研究结果非常吻合,并提供了为数不多的严格,定量,粗略的研究之一,测试了植物物种丰富度中的环境异质性。

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