IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i13p3627-d244875.html
   My bibliography  Save this article

Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China

Author

Listed:
  • Honglei Jiang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Xia Xu

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Mengxi Guan

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Lingfei Wang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Yongmei Huang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Yinghui Liu

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Land use/land cover changes (LULCC) have been affected by ecological processes as well as socioeconomic and human activities, resulting in several environmental problems. The study of the human–environment system combined with land use/land cover dynamics has received considerable attention in recent decades. We aimed to provide an integrated model that couples land use, socioeconomic influences, and ecosystem processes to explore the future dynamics of land use under two scenarios in China. Under Scenario A, the yield of grain continues to increase, and under Scenario B, the yield of grain remains constant. This study created a LULCC model by integrating a simple global socioeconomic model, a Terrestrial ecosystem simulator (TESim), and a land use allocation model. The results were analyzed by comparing spatiotemporal differences under predicted land use conditions in the two alternative scenarios. The simulation results showed patterns that varied between the two scenarios. In Scenario A, grassland will expand in the future and a large reduction in cropland will be observed. In Scenario B, the augmented expansion of cropland and a drastic shrinkage of forest area will be the main land use conversion features. Scenario A is more promising because more land is preserved for ecological restoration and urbanization, which is in line with China’s Grain for Green Program. Economic development should be based on ecological protection. The results are expected to add insight to sustainable land use development and regional natural resource management in China.

Suggested Citation

  • Honglei Jiang & Xia Xu & Mengxi Guan & Lingfei Wang & Yongmei Huang & Yinghui Liu, 2019. "Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3627-:d:244875
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/13/3627/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/13/3627/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuluan Zhao & Xiubin Li, 2016. "Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China," Sustainability, MDPI, vol. 8(9), pages 1-15, August.
    2. Dominic Stead, 2001. "Relationships between Land Use, Socioeconomic Factors, and Travel Patterns in Britain," Environment and Planning B, , vol. 28(4), pages 499-528, August.
    3. Huiran Han & Chengfeng Yang & Jinping Song, 2015. "Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China," Sustainability, MDPI, vol. 7(4), pages 1-20, April.
    4. Grosjean, Pauline & Kontoleon, Andreas, 2009. "How Sustainable are Sustainable Development Programs? The Case of the Sloping Land Conversion Program in China," World Development, Elsevier, vol. 37(1), pages 268-285, January.
    5. Chudech Losiri & Masahiko Nagai & Sarawut Ninsawat & Rajendra P. Shrestha, 2016. "Modeling Urban Expansion in Bangkok Metropolitan Region Using Demographic–Economic Data through Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models," Sustainability, MDPI, vol. 8(7), pages 1-23, July.
    6. Harold Mooney & Angela Cropper & Walter Reid, 2005. "Confronting the human dilemma," Nature, Nature, vol. 434(7033), pages 561-562, March.
    7. Peter Verburg & Bas Eickhout & Hans Meijl, 2008. "A multi-scale, multi-model approach for analyzing the future dynamics of European land use," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 57-77, March.
    8. Bennett, Michael T., 2008. "China's sloping land conversion program: Institutional innovation or business as usual?," Ecological Economics, Elsevier, vol. 65(4), pages 699-711, May.
    9. Tiziano Gomiero, 2016. "Soil Degradation, Land Scarcity and Food Security: Reviewing a Complex Challenge," Sustainability, MDPI, vol. 8(3), pages 1-41, March.
    10. Emi Uchida & Scott Rozelle & Jintao Xu, 2009. "Conservation Payments, Liquidity Constraints, and Off-Farm Labor: Impact of the Grain-for-Green Program on Rural Households in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 70-86.
    11. Yu Zhang & Pengcheng Wang & Tianwei Wang & Chongfa Cai & Zhaoxia Li & Mingjun Teng, 2018. "Scenarios Simulation of Spatio-Temporal Land Use Changes for Exploring Sustainable Management Strategies," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    12. David Tilman & Kenneth G. Cassman & Pamela A. Matson & Rosamond Naylor & Stephen Polasky, 2002. "Agricultural sustainability and intensive production practices," Nature, Nature, vol. 418(6898), pages 671-677, August.
    13. Qing Zheng & Xuan Yang & Ke Wang & Lingyan Huang & Amir Reza Shahtahmassebi & Muye Gan & Melanie Valerie Weston, 2017. "Delimiting Urban Growth Boundary through Combining Land Suitability Evaluation and Cellular Automata," Sustainability, MDPI, vol. 9(12), pages 1-22, November.
    14. Yongyut Trisurat & Hiroaki Shirakawa & John M. Johnston, 2019. "Land-Use/Land-Cover Change from Socio-Economic Drivers and Their Impact on Biodiversity in Nan Province, Thailand," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    15. Xia Li & Guangzhao Chen & Xiaoping Liu & Xun Liang & Shaojian Wang & Yimin Chen & Fengsong Pei & Xiaocong Xu, 2017. "A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(5), pages 1040-1059, September.
    16. Xiangbin Kong, 2014. "China must protect high-quality arable land," Nature, Nature, vol. 506(7486), pages 7-7, February.
    17. Ruci Wang & Ahmed Derdouri & Yuji Murayama, 2018. "Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    18. Reshmita Nath & Yibo Luan & Wangming Yang & Chen Yang & Wen Chen & Qian Li & Xuefeng Cui, 2015. "Changes in Arable Land Demand for Food in India and China: A Potential Threat to Food Security," Sustainability, MDPI, vol. 7(5), pages 1-27, April.
    19. Harris, Jonathan M. & Kennedy, Scott, 1999. "Carrying capacity in agriculture: global and regional issues," Ecological Economics, Elsevier, vol. 29(3), pages 443-461, June.
    20. Rattan Lal, 2015. "Restoring Soil Quality to Mitigate Soil Degradation," Sustainability, MDPI, vol. 7(5), pages 1-21, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Onggarbek Alipbeki & Gauhar Mussaif & Chaimgul Alipbekova & Aizada Kapassova & Pavel Grossul & Meirzhan Aliyev & Nursultan Mineyev, 2023. "Untangling the Integral Impact of Land Use Change, Economic, Ecological and Social Factors on the Development of Burabay District (Kazakhstan) during the Period 1999–2021," Sustainability, MDPI, vol. 15(9), pages 1-36, May.
    2. Mengyao Li & Hongxia Luo & Zili Qin & Yuanxin Tong, 2023. "Spatial-Temporal Simulation of Carbon Storage Based on Land Use in Yangtze River Delta under SSP-RCP Scenarios," Land, MDPI, vol. 12(2), pages 1-18, February.
    3. Jincheng Huang & Yueyan Liu & Xiaoying Zhang & Yu Wang & Yisong Wang, 2019. "A Scenario-Based Simulation of Land System Changes on Dietary Changes: A Case Study in China," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    4. Xia Xu & Mengxi Guan & Honglei Jiang & Lingfei Wang, 2019. "Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    5. Honglei Jiang & Xia Xu & Lingfei Wang & Tong Zhang, 2021. "Integrating Ecosystem Service Values and Economic Benefits for Sustainable Land Use Management in Semi-Arid Regions in Northern China," Sustainability, MDPI, vol. 13(18), pages 1-19, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:gat:wpaper:1509 is not listed on IDEAS
    2. Démurger, Sylvie & Pelletier, Adeline, 2015. "Volunteer and satisfied? Rural households' participation in a payments for environmental services programme in Inner Mongolia," Ecological Economics, Elsevier, vol. 116(C), pages 25-33.
    3. Hao Li & Michael T Bennett & Xuemei Jiang & Kebin Zhang & Xiaohui Yang, 2017. "Rural Household Preferences for Active Participation in “Payment for Ecosystem Service” Programs: A Case in the Miyun Reservoir Catchment, China," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-21, January.
    4. Chen, Cheng & Matzdorf, Bettina & Meyer, Claas & König, Hannes & Zhen, Lin, 2018. "How socioeconomic and institutional conditions at the household level shape the environmental effectiveness of governmental PES: China’s Sloping Land Conversion Program," SocArXiv jzvqh, Center for Open Science.
    5. Qu, Futian & Kuyvenhoven, Arie & Shi, Xiaoping & Heerink, Nico, 2011. "Sustainable natural resource use in rural China: Recent trends and policies," China Economic Review, Elsevier, vol. 22(4), pages 444-460.
    6. Xiaoqing Dai & Lijie Pu & Fangping Rao, 2017. "Assessing the Effect of a Crop-Tree Intercropping Program on Smallholders’ Incomes in Rural Xinjiang, China," Sustainability, MDPI, vol. 9(9), pages 1-19, August.
    7. Hao Li & Xiaohui Yang & Xiao Zhang & Yuyan Liu & Kebin Zhang, 2018. "Estimation of Rural Households’ Willingness to Accept Two PES Programs and Their Service Valuation in the Miyun Reservoir Catchment, China," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    8. Liu, Zhen & Lan, Jing, 2015. "The Sloping Land Conversion Program in China: Effect on the Livelihood Diversification of Rural Households," World Development, Elsevier, vol. 70(C), pages 147-161.
    9. Cheng Chen & Hannes J. König & Bettina Matzdorf & Lin Zhen, 2015. "The Institutional Challenges of Payment for Ecosystem Service Program in China: A Review of the Effectiveness and Implementation of Sloping Land Conversion Program," Sustainability, MDPI, vol. 7(5), pages 1-28, May.
    10. Liang, Yicheng & Li, Shuzhuo & Feldman, Marcus W. & Daily, Gretchen C., 2012. "Does household composition matter? The impact of the Grain for Green Program on rural livelihoods in China," Ecological Economics, Elsevier, vol. 75(C), pages 152-160.
    11. Meng Wang & Xiaofang Sun & Zemeng Fan & Tianxiang Yue, 2019. "Investigation of Future Land Use Change and Implications for Cropland Quality: The Case of China," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    12. Lu, Gang & Yin, Runsheng, 2020. "Evaluating the Evaluated Socioeconomic Impacts of China's Sloping Land Conversion Program," Ecological Economics, Elsevier, vol. 177(C).
    13. Youjung Kim & Galen Newman, 2019. "Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    14. Mullan, Katrina & Grosjean, Pauline & Kontoleon, Andreas, 2011. "Land Tenure Arrangements and Rural-Urban Migration in China," World Development, Elsevier, vol. 39(1), pages 123-133, January.
    15. Sylvie Démurger & Haiyuan Wan, 2012. "Payments for ecological restoration and internal migration in China: the sloping land conversion program in Ningxia," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-22, December.
    16. Yunfeng Hu & Batu Nacun, 2018. "An Analysis of Land-Use Change and Grassland Degradation from a Policy Perspective in Inner Mongolia, China, 1990–2015," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    17. Tiziano Gomiero, 2016. "Soil Degradation, Land Scarcity and Food Security: Reviewing a Complex Challenge," Sustainability, MDPI, vol. 8(3), pages 1-41, March.
    18. Changqing Sun & Yulong Bao & Battsengel Vandansambuu & Yuhai Bao, 2022. "Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    19. Xueying Yu, 2016. "Central–local conflicts in China’s environmental policy implementation: the case of the sloping land conversion program," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 77-96, November.
    20. Wu, Zhilong & Dai, Xuhuan & Li, Bo & Hou, Ying, 2021. "Livelihood consequences of the Grain for Green Programme across regional and household scales: A case study in the Loess Plateau," Land Use Policy, Elsevier, vol. 111(C).
    21. Tian Tian & Stijn Speelman, 2021. "Pursuing Development behind Heterogeneous Ideologies: Review of Six Evolving Themes and Narratives of Rural Planning in China," Sustainability, MDPI, vol. 13(17), pages 1-16, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3627-:d:244875. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.