View in EDS

Climate Change Sensitivity and Regional Differences of the Upper Limit of Montane Deciduous Broad‐Leaved Forests Across the Northern Hemisphere.

Saved in:
Bibliographic Details
Title: Climate Change Sensitivity and Regional Differences of the Upper Limit of Montane Deciduous Broad‐Leaved Forests Across the Northern Hemisphere.
Authors: Li, Youheng1 (AUTHOR), Han, Fang1 (AUTHOR) hanf@lreis.ac.cn, Li, Chuanrong2 (AUTHOR), Li, Kun2 (AUTHOR), Li, Xiaoyong1 (AUTHOR), Lv, Yan1 (AUTHOR), Xu, Xiaolong1 (AUTHOR), Zhao, Junxin1 (AUTHOR), Lei, Ziqiang1 (AUTHOR)
Source: Ecology & Evolution (20457758). May2026, Vol. 16 Issue 5, p1-17. 17p.
Subject Terms: *Mountain forests, *Deciduous forests, *Bioindicators, *Climate change, *Precipitation variability, *Temperate climate, Remote sensing
Geographic Terms: Northern Hemisphere
Abstract: Montane deciduous broad‐leaved forests across the Northern Hemisphere serve as sensitive ecological indicators of climate change, yet the climate change drivers of the upper limit of montane deciduous broad‐leaved forests (ULMDBs) remain difficult to quantify. Here, we introduce a novel cloud model‐based analytical framework that integrates multisource remote sensing data to extract ULMDB locations and associated impact factors. Using the digital features of the weight coefficient cloud model, we derive a temperature sensitivity index (TSI), a precipitation sensitivity index (PSI), and a comprehensive sensitivity index (CSI), enabling a quantitative assessment of hemispheric‐scale differences in ULMDB climate change responses. Our results reveal pronounced regional differences. In humid regions, 70% of mountains show TSI contribution rates exceeding 50%, indicating temperature‐dominated controls. In arid and semi‐arid regions, more than 80% of mountains exhibit PSI contribution rates above 50%, demonstrating strong sensitivity to precipitation. ULMDBs in East Asian study region show notably higher climate change sensitivity, with a mean CSI of 9.909 and a distinct "increase–decrease" latitudinal pattern, whereas ULMDBs in European study region show a monotonic latitudinal decline. Most ULMDBs occur within humid continental climates (68% of the sample), where 58% show TSI contribution rates above 50%, reflecting greater sensitivity to temperature than to precipitation. Sensitivity indices further suggest that potential responses are most likely where TSI is high, followed by areas with high CSI, whereas PSI‐dominated regions show weaker upward potential. The widespread regional differences indicate that ULMDB climate change sensitivity is governed not by single factors but by the interactions among temperature, precipitation, and regional geographic conditions. The proposed cloud model framework provides a transferable approach for quantifying ecological boundary sensitivity under uncertainty and offers new tools and perspectives for understanding climate change responses of montane forest ecotones and other climate‐sensitive transition zones. [ABSTRACT FROM AUTHOR]
Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
FullText Text:
  Availability: 0
Header DbId: 8gh
DbLabel: GreenFILE
An: 194054969
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Climate Change Sensitivity and Regional Differences of the Upper Limit of Montane Deciduous Broad‐Leaved Forests Across the Northern Hemisphere.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Li%2C+Youheng%22">Li, Youheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Fang%22">Han, Fang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hanf@lreis.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Chuanrong%22">Li, Chuanrong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Kun%22">Li, Kun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xiaoyong%22">Li, Xiaoyong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Yan%22">Lv, Yan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Xiaolong%22">Xu, Xiaolong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Junxin%22">Zhao, Junxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lei%2C+Ziqiang%22">Lei, Ziqiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Ecology+%26+Evolution+%2820457758%29%22">Ecology & Evolution (20457758)</searchLink>. May2026, Vol. 16 Issue 5, p1-17. 17p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Mountain+forests%22">Mountain forests</searchLink><br />*<searchLink fieldCode="DE" term="%22Deciduous+forests%22">Deciduous forests</searchLink><br />*<searchLink fieldCode="DE" term="%22Bioindicators%22">Bioindicators</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br />*<searchLink fieldCode="DE" term="%22Precipitation+variability%22">Precipitation variability</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperate+climate%22">Temperate climate</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Northern+Hemisphere%22">Northern Hemisphere</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Montane deciduous broad‐leaved forests across the Northern Hemisphere serve as sensitive ecological indicators of climate change, yet the climate change drivers of the upper limit of montane deciduous broad‐leaved forests (ULMDBs) remain difficult to quantify. Here, we introduce a novel cloud model‐based analytical framework that integrates multisource remote sensing data to extract ULMDB locations and associated impact factors. Using the digital features of the weight coefficient cloud model, we derive a temperature sensitivity index (TSI), a precipitation sensitivity index (PSI), and a comprehensive sensitivity index (CSI), enabling a quantitative assessment of hemispheric‐scale differences in ULMDB climate change responses. Our results reveal pronounced regional differences. In humid regions, 70% of mountains show TSI contribution rates exceeding 50%, indicating temperature‐dominated controls. In arid and semi‐arid regions, more than 80% of mountains exhibit PSI contribution rates above 50%, demonstrating strong sensitivity to precipitation. ULMDBs in East Asian study region show notably higher climate change sensitivity, with a mean CSI of 9.909 and a distinct "increase–decrease" latitudinal pattern, whereas ULMDBs in European study region show a monotonic latitudinal decline. Most ULMDBs occur within humid continental climates (68% of the sample), where 58% show TSI contribution rates above 50%, reflecting greater sensitivity to temperature than to precipitation. Sensitivity indices further suggest that potential responses are most likely where TSI is high, followed by areas with high CSI, whereas PSI‐dominated regions show weaker upward potential. The widespread regional differences indicate that ULMDB climate change sensitivity is governed not by single factors but by the interactions among temperature, precipitation, and regional geographic conditions. The proposed cloud model framework provides a transferable approach for quantifying ecological boundary sensitivity under uncertainty and offers new tools and perspectives for understanding climate change responses of montane forest ecotones and other climate‐sensitive transition zones. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=194054969
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/ece3.73561
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: Mountain forests
        Type: general
      – SubjectFull: Deciduous forests
        Type: general
      – SubjectFull: Bioindicators
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Precipitation variability
        Type: general
      – SubjectFull: Temperate climate
        Type: general
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Northern Hemisphere
        Type: general
    Titles:
      – TitleFull: Climate Change Sensitivity and Regional Differences of the Upper Limit of Montane Deciduous Broad‐Leaved Forests Across the Northern Hemisphere.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li, Youheng
      – PersonEntity:
          Name:
            NameFull: Han, Fang
      – PersonEntity:
          Name:
            NameFull: Li, Chuanrong
      – PersonEntity:
          Name:
            NameFull: Li, Kun
      – PersonEntity:
          Name:
            NameFull: Li, Xiaoyong
      – PersonEntity:
          Name:
            NameFull: Lv, Yan
      – PersonEntity:
          Name:
            NameFull: Xu, Xiaolong
      – PersonEntity:
          Name:
            NameFull: Zhao, Junxin
      – PersonEntity:
          Name:
            NameFull: Lei, Ziqiang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20457758
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Ecology & Evolution (20457758)
              Type: main
ResultId 1