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首页> 外文期刊>Global ecology and biogeography >Soil water balance performs better than climatic water variables in tree species distribution modelling.
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Soil water balance performs better than climatic water variables in tree species distribution modelling.

机译:在树种分布模型中,土壤水分平衡的表现优于气候水分。

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Aim: Soil water is essential for the physiological processes of plant growth and fitness. Owing to the difficulty of assessing wide variations in soil water reserves, plant distribution models usually estimate available water for plants through such climatic proxies as precipitation data (P) or climatic water balance (P minus potential evapotranspiration). We evaluated the ability of simple climatic proxies and soil water balance indices to predict the ecological niches of forest tree species. Location: France. Methods: Soil water content and deficits were computed and mapped at a resolution of 1 km x 1 km throughout France. The predictive abilities of these indices were compared with those of P and climatic water balance to model the distributions of 37 of the most common European tree species. We focused on two species with contrasting water tolerance, Quercus robur and Quercus pubescens, to illustrate the differences between climatic proxies and soil water balance in species response curves and distribution maps. Results: Throughout France, soil water content was poorly correlated with P and climatic water balance, because low P in the lowlands can be compensated for by water provided by deeper soils, which is not the case in most mountainous areas. Soil water balance performed better than simple climatic water variables for explaining tree species distribution, improving 82% of the models for hygrophilous, meso-hygrophilous, meso-xerophilous and xerophilous species. Main conclusions: Our results showed that simple climatic values do not accurately represent available water for trees and that soil water balance indices perform better than do climatic proxies for most species. This point is crucial to avoid underestimating the importance of water in studies aimed at determine the ecological niches of plant species and their responses to climate change.Digital Object Identifier http://dx.doi.org/10.1111/geb.12012
机译:目的:土壤水对于植物生长和适应的生理过程至关重要。由于难以评估土壤储水量的大范围差异,植物分布模型通常通过诸如降水量数据(P)或气候水平衡(P减去潜在蒸散量)等气候指标来估算植物的可用水量。我们评估了简单的气候代理和土壤水平衡指数预测林木物种生态位的能力。地点:法国。方法:计算和绘制法国全境土壤水含量和赤字的分辨率为1 km x 1 km。将这些指数的预测能力与磷和气候水平衡的预测能力进行比较,以模拟欧洲37种最常见的树种的分布。我们重点研究了两种具有不同耐水性的物种,即栎栎和毛栎,以在物种响应曲线和分布图中说明气候代理和土壤水分平衡之间的差异。结果:在整个法国,土壤水分与磷和气候水平衡的相关性很差,因为低地的低磷可以通过深层土壤提供的水来补偿,而在大多数山区却不是这样。土壤水平衡比简单的气候水变量更好地解释了树种的分布,改善了82%的亲水性,中度亲和性,中度亲和性和嗜湿性物种模型。主要结论:我们的结果表明,简单的气候值不能准确地代表树木的可用水量,并且土壤水分平衡指数的表现要好于大多数物种的气候指标。为了避免低估水在旨在确定植物物种生态位及其对气候变化的响应的研究中的重要性,这一点至关重要。数字对象标识符http://dx.doi.org/10.1111/geb.12012

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