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基于最大熵和随机森林模型的3种珍贵硬阔叶树种潜在分布预测

宗迪迪 董灵波 刘兆刚

广西林业科学2024,Vol.53Issue(1):1-9,9.
广西林业科学2024,Vol.53Issue(1):1-9,9.DOI:10.19692/j.issn.1006-1126.20240101

基于最大熵和随机森林模型的3种珍贵硬阔叶树种潜在分布预测

Potential Distribution Predictions of Three Precious Hard Broad-leaved Tree Species Based on MaxEnt and RF Models

宗迪迪 1董灵波 1刘兆刚1

作者信息

  • 1. 东北林业大学 林学院,黑龙江哈尔滨 150040
  • 折叠

摘要

Abstract

Fraxinus mandshurica,Juglans madshurica and Phellodendron amurense are three precious hard broad-leaved tree species in northeast China.Analyzing relationships among distributions and environmental factors and predicting potential distribution areas of three precious hard broad-leaved tree species could pro-vide references for regeneration and replanting of three precious hard broad-leaved tree species.Taking Maoer-shan Experimental Forest Farm as study area,twelve environmental factors,including A1 soil layer thickness,AB soil layer thickness,soil type,slope gradient,slope position,slope aspect,altitude,canopy density,number of plants per hectare,accumulation per hectare,site type and total coverage of ground were selected to predict potential distributions of three precious hard broad-leaved tree species by maximum entropy(MaxEnt)model and random forest(RF)model,and accuracies of models were evaluated by area under receiver operating char-acteristic curve(AUC).Results showed that AUC means of maximum entropy model and random forest model were 0.854 and 0.920,respectively.Main environmental factors output by maximum entropy model were site type and slope position,which output by random forest model was altitude.Accuracy of random forest model was better than that of maximum entropy model,and output results of two models showed that main factor limit-ed distributions of three precious hard broad-leaved tree species was terrain factor.Western and northern parts of Maoershan Experimental Forest Farm were suitable for growths of three precious hard broad-leaved tree spe-cies,and all of distribution points of three tree species were within range of suitable and more suitable areas.

关键词

最大熵模型/随机森林模型/潜在分布预测

Key words

maximum entropy model/random forest model/potential distribution prediction

分类

林学

引用本文复制引用

宗迪迪,董灵波,刘兆刚..基于最大熵和随机森林模型的3种珍贵硬阔叶树种潜在分布预测[J].广西林业科学,2024,53(1):1-9,9.

基金项目

国家重点研发计划项目(2022YFD2200502) (2022YFD2200502)

中央高校基本科研业务费专项资金项目(2572021DT07) (2572021DT07)

广西林业科学

OACSTPCD

1006-1126

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