基于MaxEnt模型的贵州入侵植物大薸适生区预测研究OA
Prediction of Suitable Habitats for Invasive Plant Pistia stratiotes L.in Guizhou Province Based on MaxEnt Model
[目的]针对大薸(Pistia stratiotes L.)作为恶性入侵物种对我国南方生态安全与农业生产的威胁,旨在定量评估其在贵州省当前及未来气候变化下的潜在适生区分布格局,识别关键环境驱动因子与优先防控区域,为喀斯特地区入侵物种风险管理提供科学依据.[方法]基于贵州省58个大薸分布点位,整合19项生物气候变量与海拔数据,采用最大熵模型(MaxEnt 3.4.1)进行适生区预测.通过Pearson相关性分析(|r|>0.80)与模型贡献率筛选出6个关键环境变量(bio7、bio8、bio11、bio16、bio17、alt),耦合未来气候情景(SSP1-2.6与SSP5-8.5)模拟2021-2100年4个时期的分布动态.模型精度通过ROC曲线下面积(AUC)验证,适生区划分采用自然间断点分级法(四等级:非/低/中/高适生区).[结果]MaxEnt模型AUC值为0.962,预测可靠性极佳;揭示冷季(12月~次年2月)水热耦合的核心作用,最干季度降水量(103.19~138.33 mm)与 最冷季度均温(7.08~9.76℃)的时空重合形成"低温-干旱"双重胁迫机制,低海拔(≤467.24 m)通过抬升冷季温度间接削弱胁迫强度;当前高适生区(4 061.81 km2,占全省2.31%)集中于黔东南州清水江下游(从江、榕江)及黔南州都柳江流域(三都、荔波);未来SSP1-2.6情景下,2041-2060年高适生区扩张29.9%(峰值5 277.90 km2),后期锐减;未来SSP5-8.5情景下呈波动性萎缩,末期高适生区占比降至2.25%;识别都柳江-清水江交汇带(从江、榕江)和黔南州东北部(三都、荔波)为核心防控区.[结论]大薸在贵州省的适生性受"低温-干旱"双重胁迫和低海拔生境共同调控,喀斯特地貌区呈现独特的"干热河谷"响应机制.未来气候变化下适生区呈"中期扩张-长期抑制"的分异规律,低碳路径(SSP1-2.6)中期扩张风险显著.研究提出的流域分级防控策略,为贵州省构建精准监测与分区治理体系提供关键支撑.
[Objective]Against the threat posed by the invasive species Pistia stratiotes L.(water lettuce)to ecological security and agricultural production in southern China,this study aimed to quantitatively assess its potential suitable habitat distribution patterns in Guizhou Province under current and future climate change scenarios,identify key environmental drivers and priority prevention/control zones,thereby providing a scientific basis for invasive species risk management in karst regions.[Methods]Based on 58 distribution points of Pistia stratiotes in Guizhou Province and integrating 19 bioclimatic variables with elevation data,potential suitable habitats were predicted using the Maximum Entropy model(MaxEnt 3.4.1).Six key environmental variables(bio7,bio8,bio11,bio16,bio17,alt)were selected based on Pearson correlation analysis(|r|>0.80)and model contribution rates.The distribution dynamics for four periods(2021-2100)were simulated coupled with future climate scenarios SSP1-2.6 and SSP5-8.5.The model accuracy was validated using the Area Under the Receiver Operating Characteristic Curve(AUC).Suitable habitats were classified into four levels(Unsuitable,Low,Medium,High)using the Jenks natural breaks classification method.[Results]The MaxEnt model demonstrated excellent predictive reliability(AUC=0.962).The study revealed the core role of hydrothermal coupling during the cold season(December to February);the spatiotemporal overlap of precipitation in the driest quarter(103.19-138.33 mm)and mean temperature in the coldest quarter(7.08-9.76℃)formed a"low temperature-drought"dual-stress mechanism;lower elevation(≤467.24 m)indirectly mitigated stress intensity by elevating cold-season temperatures.Currently,highly suitable habitats(4061.81 km²,2.31%of the province)are concentrated in the lower reaches of the Qingshui River(Congjiang,Rongjiang counties)in Qiandongnan Prefecture and the Duliujiang River Basin(Sandu,Libo counties)in Qiannan Prefecture.Under SSP1-2.6,high-suitability habitats will expand by 29.9%(peak:5277.90 km²)during 2041-2060,followed by a sharp reduction later.Under SSP5-8.5,high-suitability region shows a fluctuating shrinkage,and their proportion decreases to 2.25%at the end of the period.The confluence zone of the Duliujiang and Qingshui Rivers(Congjiang,Rongjiang)and northeastern Qiannan Prefecture(Sandu,Libo)were identified as core prevention and control zones.[Conclusion]The suitability of Pistia stratiotes in Guizhou Province is jointly regulated by the"low temperature-drought"dual-stress mechanism and low-elevation habitats,with karst landform exhibiting a unique response mechanism of"dry-hot valley".Future climate change induces a"mid-term expansion-long-term suppression"divergence pattern in suitable habitats,with significant mid-term expansion risk under the low-emission pathway(SSP1-2.6).The study proposes a watershed-scale hierarchical prevention strategy,providing crucial support for building a precision monitoring and zonal management system in Guizhou Province.
王代波;代亮亮;吕敬才;龙云川;袁果
贵州科学院 贵州省生物研究所,贵阳 550001||贵州省高原湿地保护与修复全省重点实验室,贵阳 550001贵州科学院 贵州省生物研究所,贵阳 550001贵州科学院 贵州省生物研究所,贵阳 550001贵州科学院 贵州省生物研究所,贵阳 550001贵州科学院 贵州省生物研究所,贵阳 550001||贵州省高原湿地保护与修复全省重点实验室,贵阳 550001
农业科技
大薸MaxEnt模型适生区气候贵州
Pistia stratiotesMaxEnt modelsuitable habitatclimateGuizhou
《沈阳农业大学学报》 2026 (3)
115-125,11
国家自然科学基金项目(32360036)贵州省高原湿地保护与修复全省重点实验室项目(黔科合平台ZSYS[2025]015)贵州省林业改革发展资金-湿地补助资金项目(52000025P00112410017M)
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