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云南陆良高原水系凤眼莲潜在分布及其影响因素分析

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凤眼莲在云南高原水系的分布严重影响陆良县河道工程整治效果.利用最大熵模型MaxEnt和Arc-GIS软件研究河道湿地凤眼莲群落分布,分析影响凤眼莲生长分布的主导环境因子,并解析特征参数对凤眼莲潜在分布和生态位的影响.结果表明:训练集和验证集的AUC值分别为0.965和0.994,模型预测结果良好.凤眼莲主要分布在陆良水系河道中下游,高适生区面积为24.41 km2.最暖季降水量,植被保持土壤肥力钾含量、降水量变异系数和海拔对凤眼莲的分布影响较大.研究结果可为云南省陆良县高原区河道湿地的治理提供科学依据.
Potential Distribution and Its Influencing Factors of Eichhornia crassipes in the Plateau Water System in Luliang of Yunnan
The distribution of Eichhornia crassipes in the water system of Yunnan Plateau seriously affects the effectiveness of river improvement measures in Luliang County.In this study,the maximum entropy model MaxEnt and Arc-GIS software were used to study the community distribution of Eichhornia crassipes in river wetlands,analyze the dominant environmental factors affecting the growth distribution of Eichhornia crassipes,and analyze the effects of characteristic parameters on the potential distribution and ecological niche of Eichhornia crassipes.The results show that the AUC values of the training set and the validation set are 0.965 and 0.994,respectively,and the model predicts well.It is mainly distributed in the middle and lower reaches of the basin,and the area of high suitability area is 24.41 km2.Precipitation in the warmest season,soil fertility potassium content maintained by vegetation,precipitation variation coefficient,and altitude had great effects on the distribution of Eichhornia crassipes.The results provide a scientific basis for the treatment of river wetland in the plateau area of Luliang County,Yunnan Province.

Eichhornia crassipesEnvironmental factorsMaxEnt modelCharacteristic parametersResponse changes

邢梦璇、吴德安、屈维意、唐绍富、黄国芳、易绍林

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河海大学港口海岸与近海工程学院,江苏南京 210098

河海大学商学院,江苏南京 210098

云南省水利水电工程有限公司,云南昆明 650500

凤眼莲 环境因子 MaxEnt模型 特征参数 响应变化

中国电力建设股份有限公司科技项目&&

DJ-ZDXM-2022-28KJXMWW-2023-01

2024

湿地科学与管理
中国林业科学研究院

湿地科学与管理

CSTPCD
影响因子:0.354
ISSN:1673-3290
年,卷(期):2024.20(2)
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