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34 年的 Landsat 监测揭示了地下水抽取对世界遗产地湿地的长期影响。

Thirty-four years of Landsat monitoring reveal long-term effects of groundwater abstractions on a World Heritage Site wetland.

机构信息

Estación Biológica de Doñana, CSIC, C/ Américo Vespucio s/n, Isla de la Cartuja, 41092 Sevilla, Spain.

Remote Sensing and GIS Laboratory (LAST-EBD), Estación Biológica de Doñana, CSIC, C/ Américo Vespucio s/n, Isla de la Cartuja, 41092 Sevilla, Spain.

出版信息

Sci Total Environ. 2023 Jul 1;880:163329. doi: 10.1016/j.scitotenv.2023.163329. Epub 2023 Apr 6.

Abstract

Wetlands are among the most biodiverse yet endangered ecosystems on Earth. Despite being the most important wetland in Europe, the Doñana National Park (southwestern Spain) is no exception, and the increase of nearby groundwater abstractions for intensive agriculture and human supply has raised international concerns about the conservation of this iconic wetland. It is thus needed to assess wetlands' long-term trends and responses to global and local factors to make informed management decisions. In this paper, we used 442 Landsat satellite images to analyze the historical trends and drivers of the date of desiccation and maximum flooded area in 316 ponds located in Doñana National Park during a 34-year period (1985-2018) and found that 59 % of the ponds studied are currently desiccated. The use of Generalized Additive Mixed Models (GAMMs) showed inter-annual variation in rainfall and temperature as the most important factors determining pond flooding. However, GAMMS also showed that intensive agriculture and the nearby tourist resort were related to the desiccation or shrinking of ponds all over Doñana, finding that the strongest negative flooding anomalies (i.e. ponds flooding less than explained by climate alone) were located in proximity to pumping areas. These results suggest that current levels of groundwater exploitation may be unsustainable and require urgent measures to control abstractions to ensure the integrity of the Doñana pond network, and the persistence of >600 wetland-dependent species.

摘要

湿地是地球上生物多样性最丰富但又最濒危的生态系统之一。尽管多纳纳国家公园(西班牙西南部)是欧洲最重要的湿地,但它也未能幸免,附近为集约农业和人类供应而抽取的地下水的增加引起了国际社会对保护这一标志性湿地的关注。因此,需要评估湿地对全球和地方因素的长期趋势和响应,以便做出明智的管理决策。在本文中,我们使用了 442 张 Landsat 卫星图像,分析了多纳纳国家公园 316 个池塘在 34 年期间(1985-2018 年)干涸日期和最大淹没面积的历史趋势和驱动因素,发现研究的 59%的池塘目前已经干涸。广义加性混合模型(GAMM)的使用表明,降雨量和温度的年际变化是决定池塘洪水的最重要因素。然而,GAMM 还表明,集约农业和附近的旅游胜地与多纳纳所有池塘的干涸或缩小有关,发现最强的负洪水异常(即池塘的洪水少于仅由气候解释的洪水)位于抽水区附近。这些结果表明,目前的地下水开采水平可能是不可持续的,需要采取紧急措施来控制抽取,以确保多纳纳池塘网络的完整性,以及 600 多种依赖湿地的物种的持续存在。

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