Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China

Land use multifunctionality (LUMF) is a pragmatic means of resolving land use conflicts and realising regional sustainability and has critical importance in land system science. In this study, we constructed LUMF classifications from a sustainable perspective and quantified and analysed the deliveri...

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Main Authors: Sihua Huang, Yuan Wang, Rongjuan Liu, Yu Jiang, Lu Qie, Lijie Pu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/11/2/286
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author Sihua Huang
Yuan Wang
Rongjuan Liu
Yu Jiang
Lu Qie
Lijie Pu
author_facet Sihua Huang
Yuan Wang
Rongjuan Liu
Yu Jiang
Lu Qie
Lijie Pu
author_sort Sihua Huang
collection DOAJ
description Land use multifunctionality (LUMF) is a pragmatic means of resolving land use conflicts and realising regional sustainability and has critical importance in land system science. In this study, we constructed LUMF classifications from a sustainable perspective and quantified and analysed the deliveries of land use functions (LUFs) in the coastal area of Jiangsu Province, China. On this basis, the “bundle” concept was innovatively introduced into the LUMF research framework to analyse the spatiotemporal effects of trade-offs and synergies among multiple LUFs. The results showed that high-value LUF geographic units tended to cluster in human-dominated landscapes. During the study period (2000–2018), the average provision of regional multifunction increased slightly, while the subfunctions changed in different trends. Four LUF bundles (agricultural zone, mosaic cropland–rural housing zone, coastal natural and seminatural landscape zone, urban development zone) were identified, each having different dominant LUFs and landscape configurations. In each LUF bundle, the most common trade-offs were observed in the environmental and economic functions. The space incompatibilities caused by land development demand in different subregions created a trade-off and synergy among multiple functions. Moreover, LUF relations were not static over time, owing to the effects of urbanisation, coastal reclamation activities, and agriculture protection policies. Based on the above results, this research proposes land use optimisations for different multifunctional areas.
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spelling doaj.art-a8c450a031a44c1da6c6068fc9e9411e2023-11-23T20:43:52ZengMDPI AGLand2073-445X2022-02-0111228610.3390/land11020286Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, ChinaSihua Huang0Yuan Wang1Rongjuan Liu2Yu Jiang3Lu Qie4Lijie Pu5School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaSchool of Geographic Sciences, Hebei Normal University, South 2nd Ring East Road No. 20, Shijiazhuang 050024, ChinaBusiness School of Ningbotech University, Ningbo 315100, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaLand use multifunctionality (LUMF) is a pragmatic means of resolving land use conflicts and realising regional sustainability and has critical importance in land system science. In this study, we constructed LUMF classifications from a sustainable perspective and quantified and analysed the deliveries of land use functions (LUFs) in the coastal area of Jiangsu Province, China. On this basis, the “bundle” concept was innovatively introduced into the LUMF research framework to analyse the spatiotemporal effects of trade-offs and synergies among multiple LUFs. The results showed that high-value LUF geographic units tended to cluster in human-dominated landscapes. During the study period (2000–2018), the average provision of regional multifunction increased slightly, while the subfunctions changed in different trends. Four LUF bundles (agricultural zone, mosaic cropland–rural housing zone, coastal natural and seminatural landscape zone, urban development zone) were identified, each having different dominant LUFs and landscape configurations. In each LUF bundle, the most common trade-offs were observed in the environmental and economic functions. The space incompatibilities caused by land development demand in different subregions created a trade-off and synergy among multiple functions. Moreover, LUF relations were not static over time, owing to the effects of urbanisation, coastal reclamation activities, and agriculture protection policies. Based on the above results, this research proposes land use optimisations for different multifunctional areas.https://www.mdpi.com/2073-445X/11/2/286land use functionalityLUF bundleLUF relationshipsspatiotemporal effectscoastal zone
spellingShingle Sihua Huang
Yuan Wang
Rongjuan Liu
Yu Jiang
Lu Qie
Lijie Pu
Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China
Land
land use functionality
LUF bundle
LUF relationships
spatiotemporal effects
coastal zone
title Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China
title_full Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China
title_fullStr Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China
title_full_unstemmed Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China
title_short Identification of Land Use Function Bundles and Their Spatiotemporal Trade-Offs/Synergies: A Case Study in Jiangsu Coast, China
title_sort identification of land use function bundles and their spatiotemporal trade offs synergies a case study in jiangsu coast china
topic land use functionality
LUF bundle
LUF relationships
spatiotemporal effects
coastal zone
url https://www.mdpi.com/2073-445X/11/2/286
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