How to promote sustainable land use in Hangzhou Bay, China? A decision framework based on fuzzy multiobjective optimization and spatial simulation

Rapid economic development has a significant impact on both regional land use/cover change (LUCC) and ecosystem services. In this paper, we present a decision framework based on fuzzy multiobjective optimization and spatial simulation to achieve sustainable land use development. Specifically, we fir...

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Vydané v:Journal of cleaner production Ročník 414; s. 137576
Hlavní autori: Zhang, Tao, Xin, Xu, He, Fang, Wang, Xiaoli, Chen, Kang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 15.08.2023
Predmet:
China
coasts
Ecosystem service value (ESV)
ecosystem services
ecosystems
forests
Hangzhou bay
land use
Land use/cover change (LUCC)
landscapes
Multiobjective fuzzy linear programming
simulation models
Spatial simulation
spatial variation
sustainable land management
Sustainable land use decisions
China
Multiobjective fuzzy linear programming
Sustainable land use decisions
Ecosystem service value (ESV)
Spatial simulation
Land use/cover change (LUCC)
Hangzhou bay
ISSN:0959-6526, 1879-1786
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Abstract Rapid economic development has a significant impact on both regional land use/cover change (LUCC) and ecosystem services. In this paper, we present a decision framework based on fuzzy multiobjective optimization and spatial simulation to achieve sustainable land use development. Specifically, we first investigate the evolution of LUCC in Hangzhou Bay, China, and assess its ecosystem service value (ESV) using the equivalence coefficient table method based on land use data in 2000, 2010 and 2020. Then, we construct a multiobjective fuzzy linear programming model to optimize the land use decision that can balance the ESV and economic benefits of the land. Finally, a future land use simulation model is established to perform spatial simulation to find the most likely land use scenario for Hangzhou Bay in 2030 using the optimization results as input. Our results show that the LUCC in Hangzhou Bay became more frequent between 2000 and 2020, especially the area of built-up land, which increased by 179.74%. The ESV in Hangzhou Bay shows an accelerated decreasing trend, with a total decrease of 1.22 × 108 yuan. We observe spatial heterogeneity in both LUCC and ESV in Hangzhou Bay, with LUCC occurring more frequently in the coastal area, while high ESV areas are concentrated in the eastern coastal area and southern forest. The land use decisions obtained through land use structure optimization and spatial simulation can significantly slow down the decreasing trend of ESV (from −14.5% to −0.17%), effectively reduce the fragmentation of the landscape, prevent the disorder of LUCC, and help the government formulate sustainable land use policies. [Display omitted] •The ecological service values (ESVs) of Hangzhou Bay are assessed from 2000 to 2020.•The characteristics of land use/cover change (LUCC) and ESVs are analyzed.•A bi-objective fuzzy linear programming is developed to optimize the land use structure.•Simulations of LUCC and ESV in 2030 are conducted based on the optimization result.•Optimization and spatial simulation balance ecological and economic benefits of land.
AbstractList Rapid economic development has a significant impact on both regional land use/cover change (LUCC) and ecosystem services. In this paper, we present a decision framework based on fuzzy multiobjective optimization and spatial simulation to achieve sustainable land use development. Specifically, we first investigate the evolution of LUCC in Hangzhou Bay, China, and assess its ecosystem service value (ESV) using the equivalence coefficient table method based on land use data in 2000, 2010 and 2020. Then, we construct a multiobjective fuzzy linear programming model to optimize the land use decision that can balance the ESV and economic benefits of the land. Finally, a future land use simulation model is established to perform spatial simulation to find the most likely land use scenario for Hangzhou Bay in 2030 using the optimization results as input. Our results show that the LUCC in Hangzhou Bay became more frequent between 2000 and 2020, especially the area of built-up land, which increased by 179.74%. The ESV in Hangzhou Bay shows an accelerated decreasing trend, with a total decrease of 1.22 × 10⁸ yuan. We observe spatial heterogeneity in both LUCC and ESV in Hangzhou Bay, with LUCC occurring more frequently in the coastal area, while high ESV areas are concentrated in the eastern coastal area and southern forest. The land use decisions obtained through land use structure optimization and spatial simulation can significantly slow down the decreasing trend of ESV (from −14.5% to −0.17%), effectively reduce the fragmentation of the landscape, prevent the disorder of LUCC, and help the government formulate sustainable land use policies.
Rapid economic development has a significant impact on both regional land use/cover change (LUCC) and ecosystem services. In this paper, we present a decision framework based on fuzzy multiobjective optimization and spatial simulation to achieve sustainable land use development. Specifically, we first investigate the evolution of LUCC in Hangzhou Bay, China, and assess its ecosystem service value (ESV) using the equivalence coefficient table method based on land use data in 2000, 2010 and 2020. Then, we construct a multiobjective fuzzy linear programming model to optimize the land use decision that can balance the ESV and economic benefits of the land. Finally, a future land use simulation model is established to perform spatial simulation to find the most likely land use scenario for Hangzhou Bay in 2030 using the optimization results as input. Our results show that the LUCC in Hangzhou Bay became more frequent between 2000 and 2020, especially the area of built-up land, which increased by 179.74%. The ESV in Hangzhou Bay shows an accelerated decreasing trend, with a total decrease of 1.22 × 108 yuan. We observe spatial heterogeneity in both LUCC and ESV in Hangzhou Bay, with LUCC occurring more frequently in the coastal area, while high ESV areas are concentrated in the eastern coastal area and southern forest. The land use decisions obtained through land use structure optimization and spatial simulation can significantly slow down the decreasing trend of ESV (from −14.5% to −0.17%), effectively reduce the fragmentation of the landscape, prevent the disorder of LUCC, and help the government formulate sustainable land use policies. [Display omitted] •The ecological service values (ESVs) of Hangzhou Bay are assessed from 2000 to 2020.•The characteristics of land use/cover change (LUCC) and ESVs are analyzed.•A bi-objective fuzzy linear programming is developed to optimize the land use structure.•Simulations of LUCC and ESV in 2030 are conducted based on the optimization result.•Optimization and spatial simulation balance ecological and economic benefits of land.
ArticleNumber 137576
Author Wang, Xiaoli
Chen, Kang
Xin, Xu
He, Fang
Zhang, Tao
Author_xml – sequence: 1
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  orcidid: 0000-0003-2654-1377
  surname: Zhang
  fullname: Zhang, Tao
  email: taozhang@tongji.edu.cn
  organization: School of Economics and Management, Tongji University, Shanghai, 200092, PR China
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  givenname: Xu
  orcidid: 0000-0002-0780-156X
  surname: Xin
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  givenname: Fang
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  email: heyoufang@tongji.edu.cn
  organization: School of Economics and Management, Tongji University, Shanghai, 200092, PR China
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  givenname: Xiaoli
  surname: Wang
  fullname: Wang, Xiaoli
  email: xiaoli-wang@tongji.edu.cn
  organization: School of Economics and Management, Tongji University, Shanghai, 200092, PR China
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  givenname: Kang
  surname: Chen
  fullname: Chen, Kang
  email: chenkang@dlmu.edu.cn
  organization: School of Maritime Economics and Management, Dalian Maritime University, Dalian, Liaoning, 116026, PR China
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Keywords Multiobjective fuzzy linear programming
Sustainable land use decisions
Ecosystem service value (ESV)
Spatial simulation
Land use/cover change (LUCC)
Hangzhou bay
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Snippet Rapid economic development has a significant impact on both regional land use/cover change (LUCC) and ecosystem services. In this paper, we present a decision...
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SubjectTerms China
coasts
Ecosystem service value (ESV)
ecosystem services
ecosystems
forests
Hangzhou bay
land use
Land use/cover change (LUCC)
landscapes
Multiobjective fuzzy linear programming
simulation models
Spatial simulation
spatial variation
sustainable land management
Sustainable land use decisions
Title How to promote sustainable land use in Hangzhou Bay, China? A decision framework based on fuzzy multiobjective optimization and spatial simulation
URI https://dx.doi.org/10.1016/j.jclepro.2023.137576
https://www.proquest.com/docview/2834249817
Volume 414
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