A new framework for multi-level territorial spatial zoning management: Integrating ecosystem services supply-demand balance and land use structure

The supply-demand balance of ecosystem services (ESs balance) is a research hotspot. Previous studies have explored spatio-temporal patterns of ESs supply, demand, and balance, but have neglected the inherent relationship between ESs balance and land use structure, which impedes the development of d...

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Veröffentlicht in:Journal of cleaner production 2024-02, Vol.441, p.141053, Article 141053
Hauptverfasser: Xu, Yifei, Zhao, Xiaoqing, Huang, Pei, Pu, Junwei, Ran, Yuju, Zhou, Shijie, Zhao, Qiaoqiao, Feng, Yan, Tang, Yuanyuan, Tao, Junyi, Zhang, Yangbin
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container_title Journal of cleaner production
container_volume 441
creator Xu, Yifei
Zhao, Xiaoqing
Huang, Pei
Pu, Junwei
Ran, Yuju
Zhou, Shijie
Zhao, Qiaoqiao
Feng, Yan
Tang, Yuanyuan
Tao, Junyi
Zhang, Yangbin
description The supply-demand balance of ecosystem services (ESs balance) is a research hotspot. Previous studies have explored spatio-temporal patterns of ESs supply, demand, and balance, but have neglected the inherent relationship between ESs balance and land use structure, which impedes the development of direct and effective land use regulatory strategies. This study assessed the balance of six ESs (i.e., timber production (TP), food production (FP), water retention (WR), carbon sequestration (CS), soil retention (SR), and habitat quality (HQ)) by the index of ecological relative surplus ratio (ERSR) at 30 m × 30 m pixel scale, and identified ESs balance bundles (ESBBs) in Lancang County, a typical mountainous region in China. It also defined the land use proportion thresholds for achieving different objectives of ESs balance, and proposed land use regulatory strategies accordingly. The results showed that: (1) From 2010 to 2020, the supply of six ESs exceeded the demand in Lancang County, and the surplus of different ESs changed over time. ESs balance also exhibited spatial heterogeneity, and ESs imbalance aggravated in some areas. Three ESBBs were divided as FP-WR-SR integrated bundle, TP–CS–HQ integrated bundle, and Integrated promotion bundle at the township scale. (2) Cropland, built-up land, and forest were the key land use types that affected the balance of the six ESs. Moreover, the land use proportion thresholds under the objectives of “ERSR ≥0″ and “ERSR ≥1″ were determined, and they differed by ES type and objective. (3) For each ESBB, ESs comprehensive management zones were delineated at the multi-scales of the township and 1 km × 1 km grid. Regulatory strategies oriented by “reducing/increasing/maintaining the proportion of certain land use types” were suggested under different objectives. This study developed a framework for “multi-level zoning management of ‘county – ESs balance bundle – township – grid’ for promoting ESs balance by land use structure regulation” that aligned with China's territorial spatial planning hierarchy at the county and township levels. It could inform the design of a scientific and orderly territorial spatial pattern with a high-level ESs balance at various scales (e.g., counties, agglomerations, provinces, and cities) and regions. However, this framework could not be directly applied to land use spatial optimization at pixel scale. Further research is needed to integrate land use simulation models, such as the mixed-cell
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Previous studies have explored spatio-temporal patterns of ESs supply, demand, and balance, but have neglected the inherent relationship between ESs balance and land use structure, which impedes the development of direct and effective land use regulatory strategies. This study assessed the balance of six ESs (i.e., timber production (TP), food production (FP), water retention (WR), carbon sequestration (CS), soil retention (SR), and habitat quality (HQ)) by the index of ecological relative surplus ratio (ERSR) at 30 m × 30 m pixel scale, and identified ESs balance bundles (ESBBs) in Lancang County, a typical mountainous region in China. It also defined the land use proportion thresholds for achieving different objectives of ESs balance, and proposed land use regulatory strategies accordingly. The results showed that: (1) From 2010 to 2020, the supply of six ESs exceeded the demand in Lancang County, and the surplus of different ESs changed over time. ESs balance also exhibited spatial heterogeneity, and ESs imbalance aggravated in some areas. Three ESBBs were divided as FP-WR-SR integrated bundle, TP–CS–HQ integrated bundle, and Integrated promotion bundle at the township scale. (2) Cropland, built-up land, and forest were the key land use types that affected the balance of the six ESs. Moreover, the land use proportion thresholds under the objectives of “ERSR ≥0″ and “ERSR ≥1″ were determined, and they differed by ES type and objective. (3) For each ESBB, ESs comprehensive management zones were delineated at the multi-scales of the township and 1 km × 1 km grid. Regulatory strategies oriented by “reducing/increasing/maintaining the proportion of certain land use types” were suggested under different objectives. This study developed a framework for “multi-level zoning management of ‘county – ESs balance bundle – township – grid’ for promoting ESs balance by land use structure regulation” that aligned with China's territorial spatial planning hierarchy at the county and township levels. It could inform the design of a scientific and orderly territorial spatial pattern with a high-level ESs balance at various scales (e.g., counties, agglomerations, provinces, and cities) and regions. However, this framework could not be directly applied to land use spatial optimization at pixel scale. Further research is needed to integrate land use simulation models, such as the mixed-cell cellular automata (MCCA) model, to achieve ESs balance objectives at finer scales. [Display omitted] •Ecological relative surplus ratio (ERSR) was originally constructed to spatially explicate ESs supply-demand balance.•Spatio-temporal variations in supply, demand, and balance of six ESs were analyzed from 2010 to 2020.•Three ESs balance bundles (ESBBs) were divided, and the regulated ES types and their objectives were identified.•Different land use types have varying effects on specific ESs, from significant to negligible.•Thresholds of land use proportions that can achieve two ESs balance objectives were defined, respectively.</description><identifier>ISSN: 0959-6526</identifier><identifier>EISSN: 1879-1786</identifier><identifier>DOI: 10.1016/j.jclepro.2024.141053</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>carbon sequestration ; China ; cropland ; Ecological relative surplus ratio ; ecosystems ; ESs balance bundles ; food production ; forests ; habitats ; land use ; Land use proportion thresholds ; mountains ; soil ; Spatial planning and management ; spatial variation ; timber production ; Zoning regulation</subject><ispartof>Journal of cleaner production, 2024-02, Vol.441, p.141053, Article 141053</ispartof><rights>2024 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-ea94b29e283ad0fa06239bc0cffc39d780b4071cef7ceb06f940d6b3e12aa95d3</citedby><cites>FETCH-LOGICAL-c342t-ea94b29e283ad0fa06239bc0cffc39d780b4071cef7ceb06f940d6b3e12aa95d3</cites><orcidid>0000-0002-4310-3814 ; 0000-0002-8721-1489 ; 0000-0002-4497-5825 ; 0000-0002-7899-4784 ; 0000-0001-9441-5976</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0959652624005006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Xu, Yifei</creatorcontrib><creatorcontrib>Zhao, Xiaoqing</creatorcontrib><creatorcontrib>Huang, Pei</creatorcontrib><creatorcontrib>Pu, Junwei</creatorcontrib><creatorcontrib>Ran, Yuju</creatorcontrib><creatorcontrib>Zhou, Shijie</creatorcontrib><creatorcontrib>Zhao, Qiaoqiao</creatorcontrib><creatorcontrib>Feng, Yan</creatorcontrib><creatorcontrib>Tang, Yuanyuan</creatorcontrib><creatorcontrib>Tao, Junyi</creatorcontrib><creatorcontrib>Zhang, Yangbin</creatorcontrib><title>A new framework for multi-level territorial spatial zoning management: Integrating ecosystem services supply-demand balance and land use structure</title><title>Journal of cleaner production</title><description>The supply-demand balance of ecosystem services (ESs balance) is a research hotspot. Previous studies have explored spatio-temporal patterns of ESs supply, demand, and balance, but have neglected the inherent relationship between ESs balance and land use structure, which impedes the development of direct and effective land use regulatory strategies. This study assessed the balance of six ESs (i.e., timber production (TP), food production (FP), water retention (WR), carbon sequestration (CS), soil retention (SR), and habitat quality (HQ)) by the index of ecological relative surplus ratio (ERSR) at 30 m × 30 m pixel scale, and identified ESs balance bundles (ESBBs) in Lancang County, a typical mountainous region in China. It also defined the land use proportion thresholds for achieving different objectives of ESs balance, and proposed land use regulatory strategies accordingly. The results showed that: (1) From 2010 to 2020, the supply of six ESs exceeded the demand in Lancang County, and the surplus of different ESs changed over time. ESs balance also exhibited spatial heterogeneity, and ESs imbalance aggravated in some areas. Three ESBBs were divided as FP-WR-SR integrated bundle, TP–CS–HQ integrated bundle, and Integrated promotion bundle at the township scale. (2) Cropland, built-up land, and forest were the key land use types that affected the balance of the six ESs. Moreover, the land use proportion thresholds under the objectives of “ERSR ≥0″ and “ERSR ≥1″ were determined, and they differed by ES type and objective. (3) For each ESBB, ESs comprehensive management zones were delineated at the multi-scales of the township and 1 km × 1 km grid. Regulatory strategies oriented by “reducing/increasing/maintaining the proportion of certain land use types” were suggested under different objectives. This study developed a framework for “multi-level zoning management of ‘county – ESs balance bundle – township – grid’ for promoting ESs balance by land use structure regulation” that aligned with China's territorial spatial planning hierarchy at the county and township levels. It could inform the design of a scientific and orderly territorial spatial pattern with a high-level ESs balance at various scales (e.g., counties, agglomerations, provinces, and cities) and regions. However, this framework could not be directly applied to land use spatial optimization at pixel scale. Further research is needed to integrate land use simulation models, such as the mixed-cell cellular automata (MCCA) model, to achieve ESs balance objectives at finer scales. [Display omitted] •Ecological relative surplus ratio (ERSR) was originally constructed to spatially explicate ESs supply-demand balance.•Spatio-temporal variations in supply, demand, and balance of six ESs were analyzed from 2010 to 2020.•Three ESs balance bundles (ESBBs) were divided, and the regulated ES types and their objectives were identified.•Different land use types have varying effects on specific ESs, from significant to negligible.•Thresholds of land use proportions that can achieve two ESs balance objectives were defined, respectively.</description><subject>carbon sequestration</subject><subject>China</subject><subject>cropland</subject><subject>Ecological relative surplus ratio</subject><subject>ecosystems</subject><subject>ESs balance bundles</subject><subject>food production</subject><subject>forests</subject><subject>habitats</subject><subject>land use</subject><subject>Land use proportion thresholds</subject><subject>mountains</subject><subject>soil</subject><subject>Spatial planning and management</subject><subject>spatial variation</subject><subject>timber production</subject><subject>Zoning regulation</subject><issn>0959-6526</issn><issn>1879-1786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFUU1v1DAQtRCVWAo_oZKPXLLYsfNhLqiqKFSqxAXOluOMV16cOIydrbY_g19cR9s7l3mjmXlPM_MIueFszxlvPx_3RxtgwbivWS33XHLWiDdkx_tOVbzr27dkx1Sjqrap23fkfUpHxnjHOrkj_27pDE_UoZngKeIf6iLSaQ3ZVwFOEGgGRJ8jehNoWkze8DnOfj7QyczmABPM-Qt9mDMcsLRLHWxM55Rhognw5C0kmtZlCedqhMIZ6WCCmS3QLQ9bWBPQlHG1eUX4QK6cCQk-vuI1-X3_7dfdj-rx5_eHu9vHygpZ5wqMkkOtoO6FGZkzrK2FGiyzzlmhxq5ng2Qdt-A6CwNrnZJsbAcBvDZGNaO4Jp8uuuVzf1dIWU8-WQhlI4hr0oI3omVSdn0ZbS6jFmNKCE4v6CeDZ82Z3jzQR_3qgd480BcPCu_rhQfljpMH1Ml6KKePHsFmPUb_H4UXcWaXfg</recordid><startdate>20240215</startdate><enddate>20240215</enddate><creator>Xu, Yifei</creator><creator>Zhao, Xiaoqing</creator><creator>Huang, Pei</creator><creator>Pu, Junwei</creator><creator>Ran, Yuju</creator><creator>Zhou, Shijie</creator><creator>Zhao, Qiaoqiao</creator><creator>Feng, Yan</creator><creator>Tang, Yuanyuan</creator><creator>Tao, Junyi</creator><creator>Zhang, Yangbin</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-4310-3814</orcidid><orcidid>https://orcid.org/0000-0002-8721-1489</orcidid><orcidid>https://orcid.org/0000-0002-4497-5825</orcidid><orcidid>https://orcid.org/0000-0002-7899-4784</orcidid><orcidid>https://orcid.org/0000-0001-9441-5976</orcidid></search><sort><creationdate>20240215</creationdate><title>A new framework for multi-level territorial spatial zoning management: Integrating ecosystem services supply-demand balance and land use structure</title><author>Xu, Yifei ; 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Previous studies have explored spatio-temporal patterns of ESs supply, demand, and balance, but have neglected the inherent relationship between ESs balance and land use structure, which impedes the development of direct and effective land use regulatory strategies. This study assessed the balance of six ESs (i.e., timber production (TP), food production (FP), water retention (WR), carbon sequestration (CS), soil retention (SR), and habitat quality (HQ)) by the index of ecological relative surplus ratio (ERSR) at 30 m × 30 m pixel scale, and identified ESs balance bundles (ESBBs) in Lancang County, a typical mountainous region in China. It also defined the land use proportion thresholds for achieving different objectives of ESs balance, and proposed land use regulatory strategies accordingly. The results showed that: (1) From 2010 to 2020, the supply of six ESs exceeded the demand in Lancang County, and the surplus of different ESs changed over time. ESs balance also exhibited spatial heterogeneity, and ESs imbalance aggravated in some areas. Three ESBBs were divided as FP-WR-SR integrated bundle, TP–CS–HQ integrated bundle, and Integrated promotion bundle at the township scale. (2) Cropland, built-up land, and forest were the key land use types that affected the balance of the six ESs. Moreover, the land use proportion thresholds under the objectives of “ERSR ≥0″ and “ERSR ≥1″ were determined, and they differed by ES type and objective. (3) For each ESBB, ESs comprehensive management zones were delineated at the multi-scales of the township and 1 km × 1 km grid. Regulatory strategies oriented by “reducing/increasing/maintaining the proportion of certain land use types” were suggested under different objectives. This study developed a framework for “multi-level zoning management of ‘county – ESs balance bundle – township – grid’ for promoting ESs balance by land use structure regulation” that aligned with China's territorial spatial planning hierarchy at the county and township levels. It could inform the design of a scientific and orderly territorial spatial pattern with a high-level ESs balance at various scales (e.g., counties, agglomerations, provinces, and cities) and regions. However, this framework could not be directly applied to land use spatial optimization at pixel scale. Further research is needed to integrate land use simulation models, such as the mixed-cell cellular automata (MCCA) model, to achieve ESs balance objectives at finer scales. [Display omitted] •Ecological relative surplus ratio (ERSR) was originally constructed to spatially explicate ESs supply-demand balance.•Spatio-temporal variations in supply, demand, and balance of six ESs were analyzed from 2010 to 2020.•Three ESs balance bundles (ESBBs) were divided, and the regulated ES types and their objectives were identified.•Different land use types have varying effects on specific ESs, from significant to negligible.•Thresholds of land use proportions that can achieve two ESs balance objectives were defined, respectively.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jclepro.2024.141053</doi><orcidid>https://orcid.org/0000-0002-4310-3814</orcidid><orcidid>https://orcid.org/0000-0002-8721-1489</orcidid><orcidid>https://orcid.org/0000-0002-4497-5825</orcidid><orcidid>https://orcid.org/0000-0002-7899-4784</orcidid><orcidid>https://orcid.org/0000-0001-9441-5976</orcidid></addata></record>
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source Elsevier ScienceDirect Journals
subjects carbon sequestration
China
cropland
Ecological relative surplus ratio
ecosystems
ESs balance bundles
food production
forests
habitats
land use
Land use proportion thresholds
mountains
soil
Spatial planning and management
spatial variation
timber production
Zoning regulation
title A new framework for multi-level territorial spatial zoning management: Integrating ecosystem services supply-demand balance and land use structure
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