Optimizing the timing of water level recession for conservation of wintering geese in Dongting Lake, China
Optimizing the timing of water level recession for conservation of wintering geese in Dongting Lake, China
复制标题
洞庭湖越冬雁群保护中水位下降时机的优化
DOI：
10.1016/j.ecoleng.2015.12.009
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发表时间：
2016-03-01
影响因子：
3.8
通讯作者：
Wen, Li
中科院分区：
文献类型：
--
作者：
Guan, Lei;Lei, Jialin;Wen, Li
栖息地适宜性和选择是野生动物管理的关键概念，特别是在保护重要栖息地和保护敏感和濒危种群方面。近年来，人们开发了许多方法将栖息地适宜性与动物的出现和丰富度联系起来。这些方法通常涉及识别现有栖息地、定义栖息地质量指标以及估计动物出现/丰度与测量的栖息地指标之间的关联。在本研究中，我们首先测试了是否可以使用来自免费提供的多时相 MODIS 植被指数的指标来测量中国洞庭湖（东亚候鸟迁徙路线上最重要的候鸟水鸟越冬地之一）的一群鸭科动物的栖息地质量。结果表明，使用平均冬季 EVI（增强植被指数）以及根据 EVI 时间序列和地形湿度指数 (TWI) 计算的栖息地大小，可以充分模拟鹅的数量。然后我们量化了水文状况和栖息地质量指标之间的关系。研究结果表明，最佳取水时间应为10月上旬至中旬，以确保洞庭湖越冬雁群的优质食物来源。研究结果具有直接的保护意义，因为通过水流调节可以高度控制水衰退时间。 (C) 2015 Elsevier B.V. 保留所有权利。
Habitat suitability and selection are key concepts in wildlife management, especially in protection of critical habitat and conservation of sensitive and endangered populations. In recent years, many approaches have been developed to link habitat suitability with animal occurrence and abundance. These approaches typically involve identifying existing habitats, defining habitat quality metrics, and estimating the association between animal occurrence/abundance and measured habitat metrics. In this study, we first tested whether we could measure habitat quality at Dongting Lake, China, one of the most important migratory waterbird wintering sites in the East Asian Flyway, for a group of Anatidae using metrics derived from the freely available multi-temporal MODIS vegetation index. The results showed that goose counts could be sufficiently modelled using mean winter season EVI (enhanced vegetation index) and habitat size computed from EVI time series and topographic wetness index (TWI). We then quantified the relationships between hydrological regimes and the habitat quality metrics. Our findings suggested that the timing of optimal water draw down should be early to mid October to ensure quality food sources for the wintering geese in Dongting Lake. The results have direct conservation implications as water recession timing is highly manageable through water flow regulation. (C) 2015 Elsevier B.V. All rights reserved.