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Analysis of Potential Suitable Areas and Environmental Factor Responses for Four Species in Sichuan.

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Title: Analysis of Potential Suitable Areas and Environmental Factor Responses for Four Species in Sichuan.
Authors: ME, Jing1, ZHONG, Wei1, LI, Xujia1, WANG, Huidong1, WANG, Zhongchun1
Source: Meteorological & Environmental Research. Jun2026, Vol. 17 Issue 2/3, p53-59. 7p.
Subject Terms: *Maximum entropy method, *Geographic information systems, *Species distribution, *Ecological niche, *Forest management, *Climatology, *Habitat selection
Geographic Terms: Sichuan Sheng (China)
Abstract: Quercus glauca, Phyllostachys edulis, Phoebe zhennan, and Camphora ojficinarum are the primary species constituting Sichuan Province's forest resources. To analyze the key environmental factors influencing their distribution and explore their ecologically suitable ranges, this study employed Geographic Information Systems (GIS) and an optimized Maximum Entropy (MaxEnt) model to simulate their ecological niches based on geographic distribution point data and 37 environmental factors. Results indicate the MaxEnt model achieved high accuracy with AUC values exceeding 0. 8. The most influential environmental factors for the distribution of Q. glauca, P. edulis, P. zhennan, and C. ojficinarum were minimum temperature of the coldest month, elevation, precipitation of the wettest month, and elevation, respectively. Their suitable ranges were 1-7 °C, 447 -991 m, 247 -426 mm, and 6 - 490 m. The potential suitable areas for these four species are primarily distributed in basins and their surrounding mountainous regions, with Q. glauca exhibiting the largest distribution area of 10. 2 X 10 km. This study aims to provide references for resource conservation and utilization, as well as the selection of cultivation sites. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 194828783
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  Group: Ti
  Data: Analysis of Potential Suitable Areas and Environmental Factor Responses for Four Species in Sichuan.
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  Data: <searchLink fieldCode="AR" term="%22ME%2C+Jing%22">ME, Jing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22ZHONG%2C+Wei%22">ZHONG, Wei</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22LI%2C+Xujia%22">LI, Xujia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22WANG%2C+Huidong%22">WANG, Huidong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22WANG%2C+Zhongchun%22">WANG, Zhongchun</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Meteorological+%26+Environmental+Research%22">Meteorological & Environmental Research</searchLink>. Jun2026, Vol. 17 Issue 2/3, p53-59. 7p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Maximum+entropy+method%22">Maximum entropy method</searchLink><br />*<searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Species+distribution%22">Species distribution</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+niche%22">Ecological niche</searchLink><br />*<searchLink fieldCode="DE" term="%22Forest+management%22">Forest management</searchLink><br />*<searchLink fieldCode="DE" term="%22Climatology%22">Climatology</searchLink><br />*<searchLink fieldCode="DE" term="%22Habitat+selection%22">Habitat selection</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Sichuan+Sheng+%28China%29%22">Sichuan Sheng (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Quercus glauca, Phyllostachys edulis, Phoebe zhennan, and Camphora ojficinarum are the primary species constituting Sichuan Province's forest resources. To analyze the key environmental factors influencing their distribution and explore their ecologically suitable ranges, this study employed Geographic Information Systems (GIS) and an optimized Maximum Entropy (MaxEnt) model to simulate their ecological niches based on geographic distribution point data and 37 environmental factors. Results indicate the MaxEnt model achieved high accuracy with AUC values exceeding 0. 8. The most influential environmental factors for the distribution of Q. glauca, P. edulis, P. zhennan, and C. ojficinarum were minimum temperature of the coldest month, elevation, precipitation of the wettest month, and elevation, respectively. Their suitable ranges were 1-7 °C, 447 -991 m, 247 -426 mm, and 6 - 490 m. The potential suitable areas for these four species are primarily distributed in basins and their surrounding mountainous regions, with Q. glauca exhibiting the largest distribution area of 10. 2 X 10 km. This study aims to provide references for resource conservation and utilization, as well as the selection of cultivation sites. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.19547/j.issn2152-3940.2026.02-03.013
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 53
    Subjects:
      – SubjectFull: Maximum entropy method
        Type: general
      – SubjectFull: Geographic information systems
        Type: general
      – SubjectFull: Species distribution
        Type: general
      – SubjectFull: Ecological niche
        Type: general
      – SubjectFull: Forest management
        Type: general
      – SubjectFull: Climatology
        Type: general
      – SubjectFull: Habitat selection
        Type: general
      – SubjectFull: Sichuan Sheng (China)
        Type: general
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      – TitleFull: Analysis of Potential Suitable Areas and Environmental Factor Responses for Four Species in Sichuan.
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            NameFull: ME, Jing
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            NameFull: ZHONG, Wei
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            NameFull: LI, Xujia
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            NameFull: WANG, Huidong
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            NameFull: WANG, Zhongchun
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 17
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              Value: 2/3
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            – TitleFull: Meteorological & Environmental Research
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