气候变化影响下长江上游松潘裸鲤和硬刺松潘裸鲤潜在栖息地变化预测研究OA
Predicted Changes in the Habitat of Gymnocypris potanini and G.p.firmispinatus in the Upper Yangtze River as a Result of Climate Change
预测未来气候变化下松潘裸鲤(Gymnocypris potanini)和硬刺松潘裸鲤(G.p.firmispinatus)栖息地时空变化,为长江上游濒危特有鱼类栖息地评估提供重要参考.以 2 种裸鲤为研究对象,整合 19 种气候因子、7 种人类活动相关因子和 4 种自然地理因子,基于人工神经网络(ANN)、分类树分析(CTA)、柔性判别分析(FDA)和最大熵模型(MAXENT)4 种机器学习算法构建物种分布模型(SDMs),并筛选出平均昼夜范围(BIO2)、等温性(BIO3)和气温季节性(BIO4)为核心变量,结合历史时段(1970-2019 年)数据建模,并预测未来 SSP126、SSP585 情景下 2050、2070、2090 年 3 个时段的栖息地变化.结果表明:(1)模型性能优秀,松潘裸鲤和硬刺松潘裸鲤模型的AUC(受试者曲线下面积)和TSS(真实技能值)分别为(0.981,0.912)和(0.945,0.843);(2)历史时期,松潘裸鲤栖息地主要位于岷江流域和嘉陵江流域,其主要栖息地(适宜度>0.8)占比 54.3%,硬刺松潘裸鲤栖息地位于金沙江流域,主要栖息地占比22.6%,松潘裸鲤栖息地质量优于硬刺松潘裸鲤;(3)未来情景下,金沙江中下游东部将成为松潘裸鲤的主要栖息地,而硬刺松潘裸鲤新的主要栖息地将出现在金沙江中下游和上游的南部,且SSP585 情景下的栖息地扩张程度大于SSP126情景.
Gymnocypris potanini(GP)and G.p.firmispinatus(GPF),primarily inhabiting mountain riv-ers,are known as precious fishes in the production area and important cold-water economic fishes endem-ic to the upper Yangtze River basin(UYRB)in China.These two high-elevation,cold-water fish species are excellent models for understanding the adaptation of endemic genomes to climate change in the UYRB.However,the factors affecting their habitats and the alterations due to climate change and human activity are not yet clear.In this study,G.potanini and G.p.firmispinatus were selected for research,and we predicted the spatiotemporal changes in their habitat under future climate change scenarios,aiming to provide a critical reference for habitat assessment of endangered endemic fish species in the upper reaches of the Yangtze River.Species distribution models(SDMs)were constructed using four machine learning algorithms:Artificial Neural Networks(ANN),Classification Tree Analysis(CTA),Flexible Discriminant Analysis(FDA),and Maximum Entropy Modeling(MAXENT).After screening for covariance,impor-tance,and response curves,the mean diurnal range(BIO2),isothermality(BIO3),and temperature season-ality(BIO4)were selected as the key variables for SDMs from a pool of 19 climatic factors,7 human ac-tivity-related factors,and 4 natural geographic factors.These models were then calibrated using historical data(1970-2019)and subsequently applied to predict habitat changes under future SSP126 and SSP585 scenarios in 2050,2070,and 2090.Results show:(1)Model performance was excellent,with AUC(Area Under the ROC Curve)and TSS(True Skill Statistic)metrics of 0.981,0.912 for GP and 0.945,0.843 for GPF,respectively.(2)The GP habitats during the historical period(1970-2020)were primarily in the Minjiang River basin and Jialing River basin,while the GPF habitat was primarily in the Jinsha River ba-sin.The habitat quality of GP was higher than that of GPF,with 54.3%of primary habitat(suitability>0.8)for GP and 22.6%of primary habitat for GPF.(3)Under the SSP126 and SSP585 future scenarios across 2050,2070,and 2090,the eastern middle and lower Jinsha River is likely to become the new pri-mary habitat for GP,while new habitats for GPF will emerge in the southern upper Jinsha River and the middle-lower Jinsha River.Notably,habitat expansion under the SSP585 scenario is expected to be more extensive than under SSP126.Over the next century,no spatial overlap is anticipated between the habitats of GP and GPF.This study provides fundamental support for conserving the habitats of GP and GPF being altered by climate change and offers important insights for assessing the habitat of endangered endemic fish species in the upper Yangtze River under changing environmental conditions.
柏雄风;张鹏;杨志;张杨;林东升;安雪娇;牛子贤;封雲烨;李姝仪
武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072水利部中国科学院水工程生态研究所,水利部水工程生态效应与生态修复重点实验室,湖北 武汉 430079重庆嘉陵江利泽航电开发有限公司,重庆 401500重庆嘉陵江利泽航电开发有限公司,重庆 401500重庆嘉陵江利泽航电开发有限公司,重庆 401500武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072
生物科学
物种分布模型硬刺松潘裸鲤松潘裸鲤气候变化栖息地适宜度长江上游
species distribution modelsG.p.firmispinatusGymnocypris potaniniclimate changehabi-tat suitabilityupper Yangtze River
《水生态学杂志》 2026 (1)
65-75,11
国家自然科学基金项目(52179142)中国三峡建工(集团)有限公司技术服务项目(JG-EP-0421003)重庆嘉陵江利泽航电开发有限公司科研项目(LZ-DL-2024-021).
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