基于MaxEnt模型模拟未来气候变化下金露梅在中国的潜在适生区变化

Simulating the potential suitable habitat of Dasiphora fruticosa in China under future climate change with the MaxEnt model

  • 摘要: 金露梅(Dasiphora fruticosa)是高寒落叶灌丛中常见且具有代表性的灌木物种,广泛分布于北半球高山和高纬度地区,在水土保持和高寒生态屏障维持方面发挥重要作用.研究金露梅在气候变化背景下的潜在适生区变化,有助于了解未来气候变化下高寒灌丛的响应特征.本研究以金露梅为研究对象,选择19个气候变量、3个地形变量与3个土壤变量作为环境变量,利用金露梅现代(1961—2020年)分布点建立MaxEnt模型,分析影响金露梅分布的主要环境因子,同时模拟不同共享社会经济路径(SSPs)下未来(2081—2100年)金露梅的物种分布情况.研究结果表明:1)模型的AUC值为0.901,模拟效果较好;2)影响金露梅分布的主要环境因子为最暖季度平均温度、年降水量和土壤养分;3)不同共享社会经济路径下,2081—2100年金露梅的适生区均呈显著减少趋势,东部地区适生区几乎消失,适生区向西部高海拔地区迁移,将集中在青藏高原及周边地区.本研究可为金露梅的优先保护区规划和气候变化适应性管理提供科学依据.

     

    Abstract: Dasiphora fruticosa is a typical alpine deciduous shrub species widely distributed across high mountains and high-latitude regions of the Northern Hemisphere. It plays a crucial role in soil and water conservation and in maintaining alpine ecological stability. Studying the potential changes in the suitable habitat of D. fruticosa under climate change helps to reveal the response characteristics of alpine shrublands to future climatic conditions. We selected 19 climatic variables, 3 topographic variables, and 3 soil variables as environmental predictors. A MaxEnt model was constructed using current (1961-2020) distribution points of D. fruticosa to identify the main environmental factors influencing its distribution. Furthermore, the potential future distribution of D. fruticosa under different Shared Socioeconomic Pathways (SSPs) for the 2081-2100 was simulated. The results showed that: (1) the model achieved an AUC value of 0.901, indicating high predictive accuracy; (2) the mean temperature of warmest quarter, annual precipitation, and soil nutrient were the main environmental factors influencing the distribution of D. fruticosa; (3) under all SSPs, the suitable habitat of D. fruticosa is projected to decrease significantly in the 2081-2100, with suitable habitat in the eastern regions nearly disappearing and the distribution shifting westward to higher elevations, mainly concentrated on the Qinghai-Tibet Plateau and its surrounding regions. This study clarifies the dominant environmental mechanisms governing the distribution of D. fruticosa and warns of the contraction of its distribution under future climate change. It provides a direct scientific basis for priority conservation area planning and climate-adaptive management of D. fruticosa

     

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