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Habitat suitability evaluation and important influencing factors of Picea schrenkianaChinese Full Text

JING Yun-yun;XU Zhong-lin;College of Geographical Sciences/Key Laboratory of Oasis Ecology,Ministry of Education,Xinjiang University;

Abstract: Taking Picea schrenkiana as an object,based on 210 distribution sample data and 23 environmental variables,the MaxEnt model was applied to predict the potential distribution and important impact factors of Picea schrenkiana under the current climate environment. The accuracy of the model was tested using the Receiver Operating Characteristic curve(ROC curve),and the contribution rate,replacement importance,and knife cut method of environmental factors were used to screen the dominant ecological ... More
  • DOI:

    10.14088/j.cnki.issn0439-8114.2023.06.003

  • Series:

    (D) Agriculture

  • Subject:

    Forestry

  • Classification Code:

    S791.18

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