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Soil water balance performs better than climatic water variables in tree species distribution modelling

Authors: Jean-Claude Gégout; Jean-Claude Gégout; Vincent Perez; Vincent Perez; François Lebourgeois; François Lebourgeois; Christian Piedallu; +1 Authors

Soil water balance performs better than climatic water variables in tree species distribution modelling

Abstract

AbstractAimSoil 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.LocationFrance.MethodsSoil water content and deficits were computed and mapped at a resolution of 1 km × 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.ResultsThroughout 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 conclusionsOur 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.

Country
France
Keywords

[SDV.EE]Life Sciences [q-bio]/Ecology, environment, EE] Sciences du Vivant/Ecologie, Environnement [[SDV], [SDV.EE] Life Sciences/Ecology, environment, species distribution model, spatial biogeography, water availability, [ SDV.EE ] Life Sciences [q-bio]/Ecology, environment, tree ecology, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, water balance, climate change, [SDV.EE]Life Sciences [q-bio]/Ecology, digital soil mapping, geographic information system, ecological niche, EE] Life Sciences/Ecology, environment [[SDV], environment

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    118
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
118
Top 1%
Top 10%
Top 10%
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bronze
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