Modelling vegetation water-use and groundwater recharge as affected by climate variability in an arid-zone Acacia savanna woodland
作者： Chao Chen , Derek Eamus , James Cleverly , Nicolas Boulain , Peter Cook
DOI: 10.1016/J.JHYDROL.2014.08.032
关键词: Vegetation 、 Acacia aneura 、 Leaf area index 、 Understory 、 Environmental science 、 Arid 、 Precipitation 、 Hydrology 、 Land cover 、 Groundwater recharge
摘要: Summary For efficient and sustainable utilisation of limited groundwater resources, improved understanding how vegetation water-use responds to climate variation the corresponding controls on recharge is essential. This study investigated these responses using a modelling approach. The biophysically based model WAVES was calibrated validated with more than two years field experimental data conducted in Mulga (Acacia aneura) arid central Australia. then applied simulate growth (as changes overstory understory leaf area index; LAI), observed for period 1981–2012. Due large inter-annual climatic variability, especially precipitation, simulated annual mean LAI ranged from 0.12 0.35 0.07 0.21 understory. These variations resulted varying greatly year-to-year, 64 601 mm pa. Simulated also showed distinct seasonal patterns. Vegetation dynamics affected by variability exerted significant recharge, which reduced 0–48 mm compared that (58–672 mm) only climate. Understanding land use/land cover change interactively impact significantly improves resources management semi-arid regions.
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