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基于优化MaxEnt模型的黑木相思引种栽培区划
引用本文:张伟皓,叶利奇,陈启华,阮少宁.基于优化MaxEnt模型的黑木相思引种栽培区划[J].西北林学院学报,2023,38(1):88-94.
作者姓名:张伟皓  叶利奇  陈启华  阮少宁
作者单位:(福建农林大学 林学院,福建 福州 350002)
摘    要:利用MaxEnt模型评估黑木相思在中国引种的潜在适生区,探讨影响其适生区分布的主要生态因子,并对适生区范围和类型进行划分,旨在为该树种在中国的引种区划提供依据。采用ENMeval数据包优化的MaxEnt模型,基于14个环境变量和159条黑木相思分布点,以我国95°-125°E、17°-38°N区域为模型投射空间范围,评估黑木相思的潜在适生地理分布;通过Spearman相关分析、方差膨胀因子(VIF)分析和刀切法检验,筛选出制约其潜在分布的主导环境因子。经ENMeval优化,当特征组合FC=QHP,调控倍频RM=6时,AUC值为0.965,模型准确度极高。刀切法检验表明:最干月降雨量(40.1%)、月平均昼夜温差(26.9%)、年降水量(15.6%)、年均温(6.6%)、最冷月最低温(3.2%)和表层土壤酸碱度(2.8%)是影响黑木相思地理分布的重要生态因子,累计贡献率达95.2%。结果表明,黑木相思在中国适生区分为高(55.835 4×104 km2)、中...

关 键 词:黑木相思  MaxEnt  引种栽培  潜在适生区  ENMeval  生态因子

 Introduction and Cultivation Zoning of Acacia melanoxylon Based on Optimized MaxEnt Model
ZHANG Wei-hao,YE Li-qi,CHEN Qi-hua,RUAN Shao-ning. Introduction and Cultivation Zoning of Acacia melanoxylon Based on Optimized MaxEnt Model[J].Journal of Northwest Forestry University,2023,38(1):88-94.
Authors:ZHANG Wei-hao  YE Li-qi  CHEN Qi-hua  RUAN Shao-ning
Institution:(College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002,Fujian,China)
Abstract:Acacia melanoxylon is a fast-growing and high-quality timber species native to Australia.It has high economic and ecological values.The MaxEnt model was used to assess the potential suitable areas for its introduction to China.The main ecological factors affecting the distribution of A.melanoxylon suitable areas were discussed.The range and types of suitable areas were also evaluated.The division intended to provide a basis for the introduction of this tree species.Using the MaxEnt model optimized by ENMeval data package,based on 14 environmental variables and 159 A.melanoxylon distribution points,with 95°-125 °E and 17°-38 °N as the model projection space range in China,the potential suitable geographic distribution of the plant was assessed.Through Spearman correlation analysis,variance inflation factor (VIF) analysis and knife-cutting test,the dominant environmental factors restricting its potential distribution were screened out.Optimized by ENMeval,when the feature combination FC=QHP and the control frequency multiplier RM=6,the AUC value was 0.965,and the model accuracy was extremely high.The knife-cut method showed that the precipitation of driest month (40.1%),mean diurnal temperature range (26.9%),annual precipitation (15.6%),mean annual temperature(6.6%),min temperature of the coldest month (3.2%) and topsoil pH(2.8%) were important ecological factors to limit the geographic distribution of A.melanoxylon,with a cumulative contribution rate of 95.2%.The prediction results of MaxEnt divided the potential area for the introduction to China into three levels:highly-(55.835 4×104 km2),moderately-(152.991 5×104 km2),hardly-(68.456 7×104 km2),and non-suitable areas (682.716 5×104 km2).The highy suitable areas would be the key area for the cultivation and promotion of Acacia melanoxylon,mainly covering the administrative regions of Guizhou,Hunan,Jiangxi,Fujian,southeastern Zhejiang,central Taiwan,western and eastern Yunnan,northern Guangdong and northern Guangxi.It was recommended that the introduction of A.melanoxylon to China should be focused on highly suitable areas due to the suitable climate and environment,mature cultivation and management technology,and the survival rate.For the moderately suitable areas,the introduction should be careful:local real situations of should be considered.For the hardly-and non-suitable areas,the introduction should not be carried out.introduced.The main ecological factors restricting its distribution were moisture and temperature.The results of.this study would provide scientific evidence for the introduction of A.melanoxylon to China.
Keywords:Acacia melanoxylonAcacia melanoxylon  MaxEnt  cultivationp  potential habitat  ENMeval  ecological factor
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