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    Optimized Land-Use Scheme Based on Ecosystem Service Value: Case Study of Taiyuan, China

    Source: Journal of Urban Planning and Development:;2018:;Volume ( 144 ):;issue: 002
    Author:
    Xue Minggao;Ma Shuhua
    DOI: 10.1061/(ASCE)UP.1943-5444.0000447
    Publisher: American Society of Civil Engineers
    Abstract: Evaluating the variations of ecosystem services in response to land-use change is recognized as an effective method in supporting policy making involved in land-use management and environment protection. Using the gray forecasting models, this study predicts the land-use change from 214 to 22 in Taiyuan, China, and establishes a linear programming model to optimize the land-use structure for 22 to maximize the total ecosystem services value (ESV). Then the study compares the difference between the government’s land-use planning and the optimized land-use structure and evaluates their effects on ESV. The results show that the areas of woodland and built-up land will keep growing from 214 to 22, whereas cropland, orchard, grassland, and water body will decrease continuously. The total ESV is 15,482.95 million renminbi (RMB; the official currency of China) in the government’s land-use planning and 15,57.24 million RMB in optimized land-use structure, an increase of 87.29 million RMB. Moreover, compared with the government’s land-use planning, the ESV of all ecosystem services, except food production and raw materials, have varying degrees of increase in optimized land-use structure. These demonstrate that the optimized land-use structure is an effective land-use scheme that is worthy of consideration and is a reference for land managers and policy makers. In addition, this case study may provide valuable information to other cities in China.
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      Optimized Land-Use Scheme Based on Ecosystem Service Value: Case Study of Taiyuan, China

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4249831
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    • Journal of Urban Planning and Development

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    contributor authorXue Minggao;Ma Shuhua
    date accessioned2019-02-26T07:51:05Z
    date available2019-02-26T07:51:05Z
    date issued2018
    identifier other%28ASCE%29UP.1943-5444.0000447.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249831
    description abstractEvaluating the variations of ecosystem services in response to land-use change is recognized as an effective method in supporting policy making involved in land-use management and environment protection. Using the gray forecasting models, this study predicts the land-use change from 214 to 22 in Taiyuan, China, and establishes a linear programming model to optimize the land-use structure for 22 to maximize the total ecosystem services value (ESV). Then the study compares the difference between the government’s land-use planning and the optimized land-use structure and evaluates their effects on ESV. The results show that the areas of woodland and built-up land will keep growing from 214 to 22, whereas cropland, orchard, grassland, and water body will decrease continuously. The total ESV is 15,482.95 million renminbi (RMB; the official currency of China) in the government’s land-use planning and 15,57.24 million RMB in optimized land-use structure, an increase of 87.29 million RMB. Moreover, compared with the government’s land-use planning, the ESV of all ecosystem services, except food production and raw materials, have varying degrees of increase in optimized land-use structure. These demonstrate that the optimized land-use structure is an effective land-use scheme that is worthy of consideration and is a reference for land managers and policy makers. In addition, this case study may provide valuable information to other cities in China.
    publisherAmerican Society of Civil Engineers
    titleOptimized Land-Use Scheme Based on Ecosystem Service Value: Case Study of Taiyuan, China
    typeJournal Paper
    journal volume144
    journal issue2
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000447
    page4018016
    treeJournal of Urban Planning and Development:;2018:;Volume ( 144 ):;issue: 002
    contenttypeFulltext
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