Institute of Geosciences and Geography, Martin Luther University Halle-Wittenberg, Halle (Saale) 06120, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig 04103, Germany.
Department of Earth, Environmental and Resources Sciences, University of Naples Federico II, Naples 80126, Italy.
Sci Total Environ. 2023 Nov 10;898:166397. doi: 10.1016/j.scitotenv.2023.166397. Epub 2023 Aug 19.
Groundwater-dependent vegetation (GDV) is essential for maintaining ecosystem functions and services, providing critical habitat for species, and sustaining human livelihoods. However, climate and land-use change are threatening GDV, highlighting the need for harmonised, global mapping of the distribution and extent of GDV. This need is particularly crucial in vulnerable biodiversity hotspots such as the Mediterranean biome. This study presents a novel multicriteria index to identify areas in the Mediterranean biome that provide suitable environmental conditions to support potentially groundwater-dependent vegetation (pGDV) where vegetation behaviour is also indicative of groundwater use. Global datasets targeting 1) groundwater vegetation interaction; 2) soil water holding capacity; 3) topographical landscape wetness potential; 4) land use land cover and 5) hydraulic conductivity of rocks have been combined for the first time in an easy-to-use index. Layer weightings from Analytical Hierarchy Process and Random Forest showed limited applicability on biome scale, but an unweighted overlay of eleven thematic layers produced plausible results. The final pGDV map indicates that 31 % of the natural vegetation in the Mediterranean biome likely depend on groundwater. Moreover, moderate to good agreement was found compared to actual GDV locations in Campania, Italy (91 % with at least moderate potential) and California, USA (87 % with at least moderate potential). The results provide valuable information for identifying regions with a substantial presence of pGDV in the Mediterranean biome and can be used for decision making, e.g. to prioritise field surveys and high-resolution remote sensing for GDV mapping. It can therefore support effective groundwater resource management and the conservation of biodiversity hotspots.
地下水依赖型植被(GDV)对于维持生态系统功能和服务至关重要,为物种提供了关键的栖息地,并维持了人类的生计。然而,气候和土地利用变化正在威胁 GDV,这凸显了协调、全球绘制 GDV 分布和范围图的必要性。这种需求在像地中海生物群落这样的脆弱生物多样性热点地区尤为关键。本研究提出了一种新的多标准指数,用于确定地中海生物群落中提供适宜环境条件以支持潜在地下水依赖型植被(pGDV)的区域,其中植被行为也表明地下水的利用。本研究首次将针对以下五个方面的全球数据集结合在一起:1)地下水植被相互作用;2)土壤保水能力;3)地形景观湿润潜力;4)土地利用/土地覆盖;5)岩石水力传导率,以创建一个易于使用的指数。层次分析法和随机森林的层权重显示在生物群落尺度上的应用有限,但 11 个专题层的无权重叠加产生了合理的结果。最终的 pGDV 地图表明,地中海生物群落中约 31%的自然植被可能依赖地下水。此外,与意大利坎帕尼亚(Campania)和美国加利福尼亚州(California)的实际 GDV 位置相比,发现了较好的一致性(意大利 91%的位置具有中等至高的潜力,美国 87%的位置具有中等至高的潜力)。这些结果为确定地中海生物群落中存在大量 pGDV 的区域提供了有价值的信息,并可用于决策,例如优先进行实地调查和高分辨率遥感的 GDV 制图。因此,它可以支持有效的地下水资源管理和生物多样性热点的保护。