Riparian evapotranspiration modelling: model description and implementation for predicting vegetation spatial distribution in semi‐arid environments
Riparian evapotranspiration modelling: model description and implementation for predicting vegetation spatial distribution in semi‐arid environments
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河岸蒸散发模型：预测半干旱环境植被空间分布的模型描述和实现
DOI：
10.1002/eco.1387
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发表时间：
2014
期刊：
影响因子：
2.6
通讯作者：
F. Martínez‐Capel
中科院分区：
文献类型：
--
作者：
A. García;Félix Francés;M. M. L. Cruz;J. Real;F. Vallés;V. Garófano‐Gómez;F. Martínez‐Capel
河岸带和河流之间的生物和非生物相互作用决定了相关的水文过程，并对河岸和接壤的高地植被类型施加控制。在半干旱地区，植被的生长和发育主要受水资源的控制，水分梯度决定了植被密集的河岸带和半干旱高地之间的过渡。为了重现这种空间分布，一个名为RibAV的数学模型。其概念是基于主要的生态水文建模方法和实地专门知识。本文提出的RibAV的实现允许模拟河岸带内的三种植物功能类型[草本河岸植被（HRV），木本河岸植被（WRV）和陆生植被（TV）]的分布。通过RibAV获得的蒸散指数（Eidx）被用作植物缺席/存在预测的标准。两个永久性的半干旱地中海流域，Terde河段（Mijares河，西班牙）和Lorcha河段（Serpis河，西班牙），已被选定为案例研究模型的校准和验证，分别。基于混淆矩阵的几个标准被用来分析RibAV在植物分布预测上的效率。本文证明了建立河岸植被类型分布的模型的令人满意的性能，以及该区域与接壤高地之间的界限;还证明了Eidx在河岸半干旱环境中对植物功能类型进行分类的强度。版权所有© 2013约翰威利父子有限公司.
Biotic and abiotic interactions between the riparian zone and the river determine relevant hydrological processes and exert control over riparian and bordering upland vegetation types. Vegetation growth and development are mainly controlled by water availability on semi‐arid regions, where a moisture gradient determines the transition between the densely vegetated riparian zone and the semi‐arid upland. To reproduce this spatial distribution, a mathematical model named RibAV is presented. Its conceptualization is based on the main ecohydrological modelling approaches and field expertise. The implementation of RibAV that is proposed in this paper allows the simulation of the distribution of three plant functional types [herbaceous riparian vegetation (HRV), woody riparian vegetation (WRV) and terrestrial vegetation (TV)] within the riparian zone. An evapotranspiration index (Eidx) obtained through RibAV is used as a criterion for plant absence/presence prediction. Two permanent river reaches of semi‐arid Mediterranean basins, the Terde reach (Mijares River, Spain) and the Lorcha reach (Serpis River, Spain), have been selected as case studies for the calibration and validation of the model, respectively. Several criteria based on the confusion matrix were used to analyse the efficiency of RibAV on the prediction of plant distribution. The satisfactory performance of the model establishing the distribution of the riparian vegetation types and the limit between this zone and the bordering upland are demonstrated in this paper; the strength of the Eidx to classify plant functional types in riparian semi‐arid environments is additionally proven. Copyright © 2013 John Wiley & Sons, Ltd.