IDEAS home Printed from https://ideas.repec.org/a/spr/ssefpa/v15y2023i5d10.1007_s12571-023-01379-z.html
   My bibliography  Save this article

Contrasting responses of spatiotemporal patterns of cropland to climate change in Northeast China

Author

Listed:
  • Ziyang Yu

    (Northeastern University
    Key Laboratory of Land Protection and Use, Department of Natural Resources of Liaoning Province)

  • Zhenzhen Li

    (Heilongjiang University)

  • Haoxuan Yang

    (Tongji University)

  • Yihao Wang

    (Northeast Agricultural University)

  • Yang Cui
  • Guoping Lei

    (Northeastern University
    Key Laboratory of Land Protection and Use, Department of Natural Resources of Liaoning Province)

  • Shuai Ye

    (Natural Resources Administration of Pingdu City)

Abstract

Understanding the relationship between climate change and cropland spatiotemporal patterns is critical for developing government policy and assisting agriculture in adapting to future climate change. The land use dataset was used to extract the area of cropland expansion and contraction as well as to calculate the cropland landscape indices. The impacts of climatic factors on the spatiotemporal patterns of cropland were quantified for different time periods by Random Forest (RF) classification and regression models, and the accuracy of the models was used as the intensity of the influence of climatic factors on cropland change. The results revealed that the total cropland area has consistently increased by 17.74% in the last four decades. The Sanjiang Plain (SJP) and Songnen Plain (SNP), with high aggregation and a simple shape of cropland landscapes, were the main regions where the cropland area has increased. Cropland landscape aggregation was low in mountainous areas. Before 2000, the total cropland area expanded more (46,748 km2) in response to the pressure to ensure food security, whereas there was less cropland loss. The accuracy of the RF model during this period revealed that the changes in cropland spatiotemporal patterns were highly influenced by climatic factors. After 2000, the climate conditions gradually became warmer and wetter. The total area of cropland increased slightly (10,587 km2) under the influence of the contradictory relationships among economic development, food production and ecological conservation, and the conversion between cropland and natural landscape types was drastic. The impact of climatic factors on changes in cropland spatiotemporal patterns has declined. Our results suggest that the response of spatiotemporal pattern changes in cropland to climatic factors differs under different policy contexts in different periods. The findings are intended to aid in the balance of agricultural production and ecological conservation in Northeast China in the face of climate change.

Suggested Citation

  • Ziyang Yu & Zhenzhen Li & Haoxuan Yang & Yihao Wang & Yang Cui & Guoping Lei & Shuai Ye, 2023. "Contrasting responses of spatiotemporal patterns of cropland to climate change in Northeast China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(5), pages 1197-1214, October.
  • Handle: RePEc:spr:ssefpa:v:15:y:2023:i:5:d:10.1007_s12571-023-01379-z
    DOI: 10.1007/s12571-023-01379-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12571-023-01379-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12571-023-01379-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wenjiao Shi & Fulu Tao & Jiyuan Liu & Xinliang Xu & Wenhui Kuang & Jinwei Dong & Xiaoli Shi, 2014. "Has climate change driven spatio-temporal changes of cropland in northern China since the 1970s?," Climatic Change, Springer, vol. 124(1), pages 163-177, May.
    2. Nadine Unger, 2014. "Human land-use-driven reduction of forest volatiles cools global climate," Nature Climate Change, Nature, vol. 4(10), pages 907-910, October.
    3. Yu, Qiangyi & Wu, Wenbin & Verburg, Peter H. & van Vliet, Jasper & Yang, Peng & Zhou, Qingbo & Tang, Huajun, 2013. "A survey-based exploration of land-system dynamics in an agricultural region of Northeast China," Agricultural Systems, Elsevier, vol. 121(C), pages 106-116.
    4. Tyler J. Lark & Seth A. Spawn & Matthew Bougie & Holly K. Gibbs, 2020. "Cropland expansion in the United States produces marginal yields at high costs to wildlife," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    5. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    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. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    2. Yuejuan Yang & Kun Wang & Di Liu & Xinquan Zhao & Jiangwen Fan & Jinsheng Li & Xiajie Zhai & Cong Zhang & Ruyi Zhan, 2019. "Spatiotemporal Variation Characteristics of Ecosystem Service Losses in the Agro-Pastoral Ecotone of Northern China," IJERPH, MDPI, vol. 16(7), pages 1-23, April.
    3. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    4. Bu, Lingduo & Chen, Xinping & Li, Shiqing & Liu, Jianliang & Zhu, Lin & Luo, Shasha & Lee Hill, Robert & Zhao, Ying, 2015. "The effect of adapting cultivars on the water use efficiency of dryland maize (Zea mays L.) in northwestern China," Agricultural Water Management, Elsevier, vol. 148(C), pages 1-9.
    5. Wenfeng Chi & Yuanyuan Zhao & Wenhui Kuang & Tao Pan & Tu Ba & Jinshen Zhao & Liang Jin & Sisi Wang, 2021. "Impact of Cropland Evolution on Soil Wind Erosion in Inner Mongolia of China," Land, MDPI, vol. 10(6), pages 1-16, June.
    6. Xu, Ying & Findlay, Christopher, 2019. "Farmers’ constraints, governmental support and climate change adaptation: Evidence from Guangdong Province, China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    7. Zhongen Niu & Huimin Yan & Fang Liu, 2020. "Decreasing Cropping Intensity Dominated the Negative Trend of Cropland Productivity in Southern China in 2000–2015," Sustainability, MDPI, vol. 12(23), pages 1-14, December.
    8. Yuhong Shuai & Liming Yao, 2021. "Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4043-4065, September.
    9. Xin Deng & Dingde Xu & Miao Zeng & Yanbin Qi, 2018. "Landslides and Cropland Abandonment in China’s Mountainous Areas: Spatial Distribution, Empirical Analysis and Policy Implications," Sustainability, MDPI, vol. 10(11), pages 1-14, October.
    10. Zhang, Fengtai & Xiao, Yuedong & Gao, Lei & Ma, Dalai & Su, Ruiqi & Yang, Qing, 2022. "How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs," Agricultural Water Management, Elsevier, vol. 260(C).
    11. Chen, Qi & Qu, Zhaoming & Ma, Guohua & Wang, Wenjing & Dai, Jiaying & Zhang, Min & Wei, Zhanbo & Liu, Zhiguang, 2022. "Humic acid modulates growth, photosynthesis, hormone and osmolytes system of maize under drought conditions," Agricultural Water Management, Elsevier, vol. 263(C).
    12. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    13. Zhihai Yang & Amin W. Mugera & Fan Zhang, 2016. "Investigating Yield Variability and Inefficiency in Rice Production: A Case Study in Central China," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    14. Xiaoguang Chen & Madhu Khanna & Lu Yang, 2022. "The impacts of temperature on Chinese food processing firms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 256-279, April.
    15. Shaikh Shamim Hasan & Xiangzheng Deng & Zhihui Li & Dongdong Chen, 2017. "Projections of Future Land Use in Bangladesh under the Background of Baseline, Ecological Protection and Economic Development," Sustainability, MDPI, vol. 9(4), pages 1-21, March.
    16. Sicong Wang & Changhai Qin & Yong Zhao & Jing Zhao & Yuping Han, 2023. "The Evolutionary Path of the Center of Gravity for Water Use, the Population, and the Economy, and Their Decomposed Contributions in China from 1965 to 2019," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    17. Minghao Bai & Shenbei Zhou & Ting Tang, 2022. "A Reconstruction of Irrigated Cropland Extent in China from 2000 to 2019 Using the Synergy of Statistics and Satellite-Based Datasets," Land, MDPI, vol. 11(10), pages 1-27, September.
    18. Wang, Guangshuai & Liang, Yueping & Zhang, Qian & Jha, Shiva K. & Gao, Yang & Shen, Xiaojun & Sun, Jingsheng & Duan, Aiwang, 2016. "Mitigated CH4 and N2O emissions and improved irrigation water use efficiency in winter wheat field with surface drip irrigation in the North China Plain," Agricultural Water Management, Elsevier, vol. 163(C), pages 403-407.
    19. Cao, Meng & Chen, Min & Liu, Ji & Liu, Yanli, 2022. "Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain," Agricultural Water Management, Elsevier, vol. 263(C).
    20. Xu, Zhihao & Yin, Xinan & Yang, Zhifeng & Cai, Yanpeng & Sun, Tao, 2016. "New model to assessing nutrient assimilative capacity in plant-dominated lakes: Considering ecological effects of hydrological changes," Ecological Modelling, Elsevier, vol. 332(C), pages 94-102.

    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:spr:ssefpa:v:15:y:2023:i:5:d:10.1007_s12571-023-01379-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.