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基于MaxEnt模型预测中华秋沙鸭越冬期在四川省的适宜分布区

Prediction of the suitable wintering distribution areas for Mergus squamatus in Sichuan Province based on MaxEnt model

  • 摘要: 中华秋沙鸭(Mergus squamatus)是东亚特有种,国家一级重点保护野生动物,研究中华秋沙鸭在四川省的栖息地分布现状能为中华秋沙鸭的保护工作提供数据支持。通过野外调查和中国观鸟中心数据库获取四川省内中华秋沙鸭的327个分布位点,筛选得到91个分布位点,结合25个环境因子,采用经参数优化后的MaxEnt模型对中华秋沙鸭在四川省内的适宜分布区进行预测,并分析影响其越冬栖息地选择的关键环境因子。结果表明:在四川省,中华秋沙鸭的适宜分布区主要位于四川盆地及川西南山地地区,其主要的栖息地湿地类型为河流湿地,主要位于该区域长江三级以上水系,具体包含长江、沱江、岷江、涪江、嘉陵江、渠江、青衣江、安宁河、大渡河等流域。影响其越冬栖息地选择的主要环境因子为土地利用类型Lc(28.6%)、海拔elevation(27.2%)、人类活动指数HII(22.4%)和最暖季降水量bio18(7.5%),累计贡献率达到85.7%。基于上述结果,提出以下保护建议:(1)增加保护区数量,提升中华秋沙鸭关键栖息地的保护覆盖率;(2)扩大已规划为保护区域的保护范围,并提升保护等级;(3)健全监测体系,科学开展巡护监测,加强社区保护宣传教育,增强保护区域周围居民保护意识。

     

    Abstract: Mergus squamatus is an East-Asian endemic and national first-class protected wild animal in China. Quantifying its current habitat distribution in Sichuan Province can provide the baseline data required for evidence-based conservation planning. Through field investigation and database of China Bird Watching Center, 327 occurrence records of M. squamatus in Sichuan Province were obtained, and 91 distribution sites were selected. Combined with 25 environmental factors, the optimal distribution area of M. squamatus in Sichuan Province were predicted by using MaxEnt model with optimized parameters, and the key environmental factors affecting its wintering suitable habitat were analyzed. The results showed that the most suitable distribution area of M. squamatus were mainly located in Sichuan Basin and the mountainous areas of southwest Sichuan, and its main habitat wetland type was riverine wetland, which was mainly located in the water system above the third level of the Yangtze River, including the Yangtze River, Tuojiang River, Minjinag River, Fujiang River, Jialingjiang River, Qujiang River, Qingyijiang River, Anning River and Dadu River. The main environmental factors affecting its wintering habitat selection were land-cover type (Lc, 28.6%), elevation (27.2%), human influence index (HII, 22.4%) and the warmest season precipitation (bio18, 7.5%), and the cumulative contribution rate reached 85.7%. Based on the above results, the following protection suggestions were put forward: (1) Increasing the number of protected areas to increase the protection coverage of key habitats of M. squamatus; (2) Expanding the protection scope of planned protected area and upgrading the protection level; (3) Establishing a long-term monitoring scheme, implementing science-based patrols, and launching community outreach programmes to raise local awareness and reduce anthropogenic disturbance.

     

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