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Land-use/land-cover change and its impact on ecosystem carbon storage in Binhai New Area, Tianjin, China from 1985 to 2060.

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Title: Land-use/land-cover change and its impact on ecosystem carbon storage in Binhai New Area, Tianjin, China from 1985 to 2060.
Authors: Song, Min1 (AUTHOR), Yu, Shuling1 (AUTHOR) shulingyu@tiangong.edu.cn, Qin, Huawei2 (AUTHOR), Mijiti, Maihemutijiang1 (AUTHOR), Wang, Haitao1 (AUTHOR)
Source: Environmental Earth Sciences. Aug2025, Vol. 84 Issue 16, p1-19. 19p.
Subjects: Land use, Sustainability, Carbon offsetting, BTS (Performer), Area measurement, Remote sensing, Carbon sequestration in forests
Geographic Terms: China, Tianjin (China)
Abstract: The transformation of Land-Use/Land-Cover Change (LULC) plays a pivotal role in shaping ecosystem carbon storage, yet quantitative assessments of its effects and future trends remain limited. Given China's targets of reaching carbon peak by 2030 and carbon neutrality by 2060, understanding these dynamics is crucial. This study focuses on the Binhai New Area of Tianjin, China, using remote-sensing imagery to analyze LULC data from 1985 to 2020. We forecasted land use patterns for 2030 and 2060 across three scenarios: baseline trend scenario (BTS), priority ecological scenario (PES), and priority urbanization scenario (PUS), employing the Patch-generated Land Use Simulation (PLUS) model. Changes in ecosystem carbon storage were evaluated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. A net reduction of 1.31 Tg C was observed in ecosystem carbon storage over the 35-year period (1985–2020), mainly because of the transformation of all land types into built-up land, led predominantly by dry farmland conversion. By 2030, ecosystem carbon storage decreased by 0.94 Tg C under the BTS and 2.15 Tg C under the PUS, but increased by 0.11 Tg C under the PES. By 2060, reductions were 0.96 Tg C (BTS) and 3.15 Tg C (PUS), while the PES showed only a 0.29 Tg C decline. These results emphasize the importance of ecological conservation in reducing declines in ecosystem carbon storage. Therefore, under China's dual-carbon targets, the PES should be prioritized in future land-use planning to enhance carbon sequestration and support sustainability goals. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Earth Sciences is the property of Springer Nature 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: Engineering Source
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DbLabel: Engineering Source
An: 187887299
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  Data: Land-use/land-cover change and its impact on ecosystem carbon storage in Binhai New Area, Tianjin, China from 1985 to 2060.
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  Data: <searchLink fieldCode="AR" term="%22Song%2C+Min%22">Song, Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Shuling%22">Yu, Shuling</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shulingyu@tiangong.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qin%2C+Huawei%22">Qin, Huawei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mijiti%2C+Maihemutijiang%22">Mijiti, Maihemutijiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Haitao%22">Wang, Haitao</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>. Aug2025, Vol. 84 Issue 16, p1-19. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Land+use%22">Land use</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+offsetting%22">Carbon offsetting</searchLink><br /><searchLink fieldCode="DE" term="%22BTS+%28Performer%29%22">BTS (Performer)</searchLink><br /><searchLink fieldCode="DE" term="%22Area+measurement%22">Area measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+sequestration+in+forests%22">Carbon sequestration in forests</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Tianjin+%28China%29%22">Tianjin (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The transformation of Land-Use/Land-Cover Change (LULC) plays a pivotal role in shaping ecosystem carbon storage, yet quantitative assessments of its effects and future trends remain limited. Given China's targets of reaching carbon peak by 2030 and carbon neutrality by 2060, understanding these dynamics is crucial. This study focuses on the Binhai New Area of Tianjin, China, using remote-sensing imagery to analyze LULC data from 1985 to 2020. We forecasted land use patterns for 2030 and 2060 across three scenarios: baseline trend scenario (BTS), priority ecological scenario (PES), and priority urbanization scenario (PUS), employing the Patch-generated Land Use Simulation (PLUS) model. Changes in ecosystem carbon storage were evaluated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. A net reduction of 1.31 Tg C was observed in ecosystem carbon storage over the 35-year period (1985–2020), mainly because of the transformation of all land types into built-up land, led predominantly by dry farmland conversion. By 2030, ecosystem carbon storage decreased by 0.94 Tg C under the BTS and 2.15 Tg C under the PUS, but increased by 0.11 Tg C under the PES. By 2060, reductions were 0.96 Tg C (BTS) and 3.15 Tg C (PUS), while the PES showed only a 0.29 Tg C decline. These results emphasize the importance of ecological conservation in reducing declines in ecosystem carbon storage. Therefore, under China's dual-carbon targets, the PES should be prioritized in future land-use planning to enhance carbon sequestration and support sustainability goals. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Earth Sciences is the property of Springer Nature 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.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s12665-025-12498-5
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 19
        StartPage: 1
    Subjects:
      – SubjectFull: Land use
        Type: general
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Carbon offsetting
        Type: general
      – SubjectFull: BTS (Performer)
        Type: general
      – SubjectFull: Area measurement
        Type: general
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Carbon sequestration in forests
        Type: general
      – SubjectFull: China
        Type: general
      – SubjectFull: Tianjin (China)
        Type: general
    Titles:
      – TitleFull: Land-use/land-cover change and its impact on ecosystem carbon storage in Binhai New Area, Tianjin, China from 1985 to 2060.
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            NameFull: Song, Min
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            NameFull: Yu, Shuling
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            NameFull: Qin, Huawei
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            NameFull: Mijiti, Maihemutijiang
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            – D: 15
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 84
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