Regional patterns and drivers of modelled water flows along environmental, functional, and stand structure gradients in Spanish forests

IF 5.7 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jesús Sánchez-Dávila, M. De Cáceres, J. Vayreda, Javier Retana
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Abstract

Abstract. The study of the water cycle in the forest at large scales, such as countries, is challenging due to the difficulty of correctly estimating forest water flows. Hydrological models can be coupled with extensive forest data sources, such as national forest inventories, to estimate the water flow of forests over large extents, but so far the studies conducted have not analysed the role of stand structure variables or the functional traits of the forest on predicted blue and green water flows in detail. In this study, we modelled the water balance of Spanish forests using stand structure and species data from forest inventories to understand the effects of climate, stand structure, and functional groups on blue water flows. We calculated blue water and green water flows and expressed them relative to received precipitation. Relative blue water flow was mainly concentrated in the wetter regions (Atlantic and alpine biomes) of Spain (around 25 %) in comparison with the Mediterranean biomes (10 %–20 %) and during the autumn–winter season. The leaf area index (LAI) of the forest stand is the most important predictor of relative blue water, exhibiting a negative effect until it reaches a plateau at higher levels (around 2.5–3). Deciduous forests showed a greater relative blue water flow than evergreen functional groups (25 %–35 % and 10 %–25 %, respectively) primarily due to leaf fall during the autumn–winter season. This study highlights how green water is decoupled from blue water; namely, blue water depends on winter and autumn precipitation, while green water depends on the spring and summer water demand and how the species' functional traits (deciduous vs. evergreen) can influence blue water production.
西班牙森林沿环境、功能和林分结构梯度的模拟水流区域模式和驱动因素
摘要由于难以正确估算森林水流量,在国家等大尺度范围内研究森林水循环具有挑战性。水文模型可与广泛的森林数据源(如国家森林资源清查)相结合,估算大范围内的森林水流量,但迄今为止所开展的研究尚未详细分析林分结构变量或森林功能特性对预测的蓝绿水流量的作用。在这项研究中,我们利用森林资源调查中的林分结构和物种数据模拟了西班牙森林的水平衡,以了解气候、林分结构和功能群对蓝水流量的影响。我们计算了蓝水流量和绿水流量,并将其与降水量相对比。与地中海生物群落(10%-20%)相比,相对蓝水流量主要集中在西班牙较湿润地区(大西洋和高山生物群落)(约 25%)和秋冬季节。林分的叶面积指数(LAI)是预测相对蓝水的最重要指标,在达到较高水平(约 2.5-3)之前,叶面积指数会产生负面影响。落叶林的相对蓝水流量大于常绿功能群(分别为 25 %-35 % 和 10 %-25%),这主要是由于秋冬季节落叶所致。这项研究强调了绿水如何与蓝水脱钩;即蓝水取决于冬季和秋季的降水,而绿水取决于春季和夏季的需水量,以及物种的功能特征(落叶林与常绿林)如何影响蓝水的产生。
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来源期刊
Hydrology and Earth System Sciences
Hydrology and Earth System Sciences 地学-地球科学综合
CiteScore
10.10
自引率
7.90%
发文量
273
审稿时长
15 months
期刊介绍: Hydrology and Earth System Sciences (HESS) is a not-for-profit international two-stage open-access journal for the publication of original research in hydrology. HESS encourages and supports fundamental and applied research that advances the understanding of hydrological systems, their role in providing water for ecosystems and society, and the role of the water cycle in the functioning of the Earth system. A multi-disciplinary approach is encouraged that broadens the hydrological perspective and the advancement of hydrological science through integration with other cognate sciences and cross-fertilization across disciplinary boundaries.
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