IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i9p1770-d1238532.html
   My bibliography  Save this article

Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China

Author

Listed:
  • Pengtao Wang

    (School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China)

  • Xupu Li

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Liwei Zhang

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Zhuangzhuang Wang

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Jiangtao Bai

    (School of History and Archives, Yunnan University, Kunming 650091, China)

  • Yongyong Song

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Hongzhu Han

    (School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China)

  • Ting Zhao

    (School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China)

  • Guan Huang

    (School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China)

  • Junping Yan

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

Abstract

Land is an important resource that supports the production, life, and ecological development of human society. The current research on production–living–ecological space (PLES) is mainly focusing on the identification of single and dominant functions of land space, and the comprehensive spatial function measurement index of PLES (PLESI) is less known in the effective quantitative evaluation of multifunctionality of different land use categories. Integrating the CMIP6 (Coupled Model Intercomparison Project phase 6) scenario data and the future land use simulation model (FLUS), this research took the upper reaches of the Hanjiang River (URHR) as an example to explore the temporal and spatial variations in land use, PLES, and PLESIs during 2000–2020, and in the SSP2-4.5 and SSP5-8.5 scenarios from 2021 to 2100. The findings were as follows: (1) Forest land is the most widely distributed type of land; correspondingly, ecological space has the widest distribution area in PLES, followed by production space. (2) The area of dry land and building land increased between 2000 and 2010, accompanied by the increase in living space. From 2010 to 2020, the growth rate of building land tended to slow down while forest land increased, and the conflict of PLES eased. (3) The transfer between forest land and dry land is projected to intensify under the SSP2-4.5 scenario, while it is projected to occur between forest land and grassland under the SSP5-8.5 scenario. As for the changes in PLES, the SSP2-4.5 scenario has a greater impact than the SSP5-8.5 scenario. Spatially, several sub-basins in the northern URHR are the main areas of land use and PLES change. (4) PLESI presents a significant downward trend from 2000 to 2020 while trending upward under the SSP5-8.5 scenario and trending downward slightly under the SSP2-4.5 scenario between 2020 and 2100. Combining climate scenarios and the future land use simulation, this research would support the effective utilization of regional land resources and ecosystem management decision-making.

Suggested Citation

  • Pengtao Wang & Xupu Li & Liwei Zhang & Zhuangzhuang Wang & Jiangtao Bai & Yongyong Song & Hongzhu Han & Ting Zhao & Guan Huang & Junping Yan, 2023. "Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China," Land, MDPI, vol. 12(9), pages 1-21, September.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1770-:d:1238532
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/9/1770/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/9/1770/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xupu Li & Shuangshuang Li & Yufeng Zhang & Patrick J. O’Connor & Liwei Zhang & Junping Yan, 2021. "Landscape Ecological Risk Assessment under Multiple Indicators," Land, MDPI, vol. 10(7), pages 1-16, July.
    2. Bin Wang & De Li Liu & Ian Macadam & Lisa V. Alexander & Gab Abramowitz & Qiang Yu, 2016. "Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in south eastern Australia," Climatic Change, Springer, vol. 138(1), pages 85-98, September.
    3. Baldini, Carolina & Marasas, Mariana Edith & Tittonell, Pablo & Drozd, Andrea Alejandra, 2022. "Urban, periurban and horticultural landscapes – Conflict and sustainable planning in La Plata district, Argentina," Land Use Policy, Elsevier, vol. 117(C).
    4. Siabi, E. K. & Awafo, E. A. & Kabo-bah, A. T. & Derkyi, N. S. A. & Akpoti, Komlavi & Mortey, E. M. & Yazdanie, M., 2023. "Assessment of Shared Socioeconomic Pathway (SSP) climate scenarios and its impacts on the Greater Accra Region," Papers published in Journals (Open Access), International Water Management Institute, pages 1-49:101432.
    5. De Liu & Heping Zuo, 2012. "Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia," Climatic Change, Springer, vol. 115(3), pages 629-666, December.
    Full references (including those not matched with items on IDEAS)

    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. Ennan Zheng & Mengting Qin & Peng Chen & Tianyu Xu & Zhongxue Zhang, 2022. "Climate Change Affects the Utilization of Light and Heat Resources in Paddy Field on the Songnen Plain, China," Agriculture, MDPI, vol. 12(10), pages 1-19, October.
    2. Wang, Bin & Feng, Puyu & Chen, Chao & Liu, De Li & Waters, Cathy & Yu, Qiang, 2019. "Designing wheat ideotypes to cope with future changing climate in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 170(C), pages 9-18.
    3. Dengpan Xiao & Huizi Bai & De Li Liu, 2018. "Impact of Future Climate Change on Wheat Production: A Simulated Case for China’s Wheat System," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    4. Bin Wang & De Li Liu & Cathy Waters & Qiang Yu, 2018. "Quantifying sources of uncertainty in projected wheat yield changes under climate change in eastern Australia," Climatic Change, Springer, vol. 151(2), pages 259-273, November.
    5. De Li Liu & Garry J. O’Leary & Brendan Christy & Ian Macadam & Bin Wang & Muhuddin R. Anwar & Anna Weeks, 2017. "Effects of different climate downscaling methods on the assessment of climate change impacts on wheat cropping systems," Climatic Change, Springer, vol. 144(4), pages 687-701, October.
    6. Hengrui Zhang & Jianing Zhang & Zhuozhuo Lv & Linjie Yao & Ning Zhang & Qing Zhang, 2023. "Spatio-Temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of the Yellow River Basin in Inner Mongolia," Land, MDPI, vol. 12(6), pages 1-15, May.
    7. Ning Luo & Qingfeng Meng & Puyu Feng & Ziren Qu & Yonghong Yu & De Li Liu & Christoph Müller & Pu Wang, 2023. "China can be self-sufficient in maize production by 2030 with optimal crop management," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Yong Li & De Li Liu & Graeme Schwenke & Bin Wang & Ian Macadam & Weijin Wang & Guangdi Li & Ram C Dalal, 2017. "Responses of nitrous oxide emissions from crop rotation systems to four projected future climate change scenarios on a black Vertosol in subtropical Australia," Climatic Change, Springer, vol. 142(3), pages 545-558, June.
    9. Lin Ye & Nancy Grimm, 2013. "Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest," Climatic Change, Springer, vol. 120(1), pages 419-431, September.
    10. He, Qinsi & Liu, De Li & Wang, Bin & Li, Linchao & Cowie, Annette & Simmons, Aaron & Zhou, Hongxu & Tian, Qi & Li, Sien & Li, Yi & Liu, Ke & Yan, Haoliang & Harrison, Matthew Tom & Feng, Puyu & Waters, 2022. "Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    11. Anwar, Muhuddin Rajin & Liu, De Li & Farquharson, Robert & Macadam, Ian & Abadi, Amir & Finlayson, John & Wang, Bin & Ramilan, Thiagarajah, 2015. "Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia," Agricultural Systems, Elsevier, vol. 132(C), pages 133-144.
    12. Haowei Sun & Jinghan Ma & Li Wang, 2023. "Changes in per capita wheat production in China in the context of climate change and population growth," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(3), pages 597-612, June.
    13. Li Yue & Hongbo Zhao & Xiaoman Xu & Tianshun Gu & Zeting Jia, 2022. "Quantifying the Spatial Fragmentation Pattern and Its Influencing Factors of Urban Land Use: A Case Study of Pingdingshan City, China," Land, MDPI, vol. 11(5), pages 1-15, May.
    14. Lingfan Ju & Yan Liu & Jin Yang & Mingshun Xiang & Qing Xiang & Wenkai Hu & Zhengyi Ding, 2023. "Construction of Nature Reserves’ Ecological Security Pattern Based on Landscape Ecological Risk Assessment: A Case Study of Garze Tibetan Autonomous Prefecture, China," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    15. Zhang, Ziya & Li, Yi & Chen, Xinguo & Wang, Yanzi & Niu, Ben & Liu, De Li & He, Jianqiang & Pulatov, Bakhtiyor & Hassan, Ishtiaq & Meng, Qingtao, 2023. "Impact of climate change and planting date shifts on growth and yields of double cropping rice in southeastern China in future," Agricultural Systems, Elsevier, vol. 205(C).
    16. Liang-Jie Wang & Shuai Ma & Yong-Peng Qiao & Jin-Chi Zhang, 2020. "Simulating the Impact of Future Climate Change and Ecological Restoration on Trade-Offs and Synergies of Ecosystem Services in Two Ecological Shelters and Three Belts in China," IJERPH, MDPI, vol. 17(21), pages 1-26, October.
    17. Dongchuan Wang & Hua Chai & Zhiheng Wang & Kangjian Wang & Hongyi Wang & Hui Long & Jianshe Gao & Aoze Wei & Sirun Wang, 2022. "Dynamic Monitoring and Ecological Risk Analysis of Lake Inundation Areas in Tibetan Plateau," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    18. Xiuping Yi & Ling Zou & Zigeng Niu & Daoyang Jiang & Qian Cao, 2022. "Multi-Model Ensemble Projections of Winter Extreme Temperature Events on the Chinese Mainland," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    19. Tan, Lili & Feng, Puyu & Li, Baoguo & Huang, Feng & Liu, De Li & Ren, Pinpin & Liu, Haipeng & Srinivasan, Raghavan & Chen, Yong, 2022. "Climate change impacts on crop water productivity and net groundwater use under a double-cropping system with intensive irrigation in the Haihe River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    20. Wencong Yue & Zhongqi Liu & Meirong Su & Meng Xu & Qiangqiang Rong & Chao Xu & Zhenkun Tan & Xuming Jiang & Zhixin Su & Yanpeng Cai, 2022. "Inclusion of Ecological Water Requirements in Optimization of Water Resource Allocation Under Changing Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 551-570, January.

    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:jlands:v:12:y:2023:i:9:p:1770-:d:1238532. 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.