IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i10p3616-d174687.html
   My bibliography  Save this article

Assessment of Cultivated Land Productivity and Its Spatial Differentiation in Dongting Lake Region: A Case Study of Yuanjiang City, Hunan Province

Author

Listed:
  • Chong Zhao

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yong Zhou

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Xigui Li

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Pengnan Xiao

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Jinhui Jiang

    (School of Life Sciences, Central China Normal University, Wuhan 430079, China)

Abstract

Cultivated land is an important carrier of grain production, and scientific assessing of cultivated land productivity is of great significance to ensure food security. This paper assessed the overall productivity of cultivated land in Yuanjiang city from the perspectives of quantitative structure, spatial distribution and correlation with national land use. We applied statistical and GIS (geographic information system) spatial analysis methods to 16 secondary indicators of productivity. The results showed that the productivity index of cultivated land ranged from 1642.79 to 4140.09, concentrated in classes 2–6, among the most productive of 15 classes in total. The cultivated productivity indexes of most towns showed quantitative structural patterns of “inverted pyramid” and “dumbbell” types. Cultivated lands with high productivity showed a spatial distribution that decreased from the north to the south and increased from the center to the periphery. The spatial distribution of the higher-level classes in the cultivated land productivity index and the national cultivated land use index was similar. The correlation coefficient between the indexes for cultivated land productivity and the annual standard crop yield was 0.8817, implying that the index reflected local grain production capacity very well. In general, the research offered a reference and technical support for the sustainable use of cultivated land resources and enhanced regional cultivated land production capacity.

Suggested Citation

  • Chong Zhao & Yong Zhou & Xigui Li & Pengnan Xiao & Jinhui Jiang, 2018. "Assessment of Cultivated Land Productivity and Its Spatial Differentiation in Dongting Lake Region: A Case Study of Yuanjiang City, Hunan Province," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3616-:d:174687
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/10/3616/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/10/3616/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tian, Zhan & Zhong, Honglin & Sun, Laixiang & Fischer, Günther & van Velthuizen, Harrij & Liang, Zhuoran, 2014. "Improving performance of Agro-Ecological Zone (AEZ) modeling by cross-scale model coupling: An application to japonica rice production in Northeast China," Ecological Modelling, Elsevier, vol. 290(C), pages 155-164.
    2. Linlin Xiao & Xiaohuan Yang & Hongyan Cai & Dingxiang Zhang, 2015. "Cultivated Land Changes and Agricultural Potential Productivity in Mainland China," Sustainability, MDPI, vol. 7(9), pages 1-16, August.
    3. Cao, Mingkui & Ma, Shijun & Han, Chunru, 1995. "Potential productivity and human carrying capacity of an agro-ecosystem: An analysis of food production potential of China," Agricultural Systems, Elsevier, vol. 47(4), pages 387-414.
    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. Fengqiang Wu & Caijian Mo & Xiaojun Dai & Hongmei Li, 2022. "Spatial Analysis of Cultivated Land Productivity, Site Condition and Cultivated Land Health at County Scale," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    2. Mei Lu & Xiaohe Gu & Qian Sun & Xu Li & Tianen Chen & Yuchun Pan, 2022. "Production Capacity Evaluation of Farmland Using Long Time Series of Remote Sensing Images," Agriculture, MDPI, vol. 12(10), pages 1-16, October.
    3. Shan Xu, 2018. "Temporal and Spatial Characteristics of the Change of Cultivated Land Resources in the Black Soil Region of Heilongjiang Province (China)," Sustainability, MDPI, vol. 11(1), pages 1-12, December.
    4. Jiani Ma & Chao Zhang & Wenju Yun & Yahui Lv & Wanling Chen & Dehai Zhu, 2020. "The Temporal Analysis of Regional Cultivated Land Productivity with GPP Based on 2000–2018 MODIS Data," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    5. Chuqiao Han & Binbin Lu & Jianghua Zheng, 2021. "Analysis and Prediction of Land Resources’ Carrying Capacity in 31 Provinces of China from 2008 to 2016," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    6. Xigui Li & Pengnan Xiao & Yong Zhou & Jie Xu & Qing Wu, 2022. "The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains," IJERPH, MDPI, vol. 19(22), pages 1-34, November.
    7. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    8. Qian Sun & Mingjie Wu & Peiyu Du & Wei Qi & Xinyang Yu, 2022. "Spatial Layout Optimization and Simulation of Cultivated Land Based on the Life Community Theory in a Mountainous and Hilly Area of China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    9. Xigui Li & Qing Wu & Yujie Liu, 2023. "Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model—A Case Study of the Two Lake Plains, China," IJERPH, MDPI, vol. 20(2), pages 1-28, January.
    10. Pengnan Xiao & Chong Zhao & Yong Zhou & Haoyu Feng & Xigui Li & Jinhui Jiang, 2021. "Study on Land Consolidation Zoning in Hubei Province Based on the Coupling of Neural Network and Cluster Analysis," Land, MDPI, vol. 10(7), pages 1-16, July.

    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. Lu, C. H. & van Ittersum, M. K. & Rabbinge, R., 2004. "A scenario exploration of strategic land use options for the Loess Plateau in northern China," Agricultural Systems, Elsevier, vol. 79(2), pages 145-170, February.
    2. Jiani Ma & Chao Zhang & Wenju Yun & Yahui Lv & Wanling Chen & Dehai Zhu, 2020. "The Temporal Analysis of Regional Cultivated Land Productivity with GPP Based on 2000–2018 MODIS Data," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    3. Luoman Pu & Shuwen Zhang & Jiuchun Yang & Liping Chang & Shuting Bai, 2019. "Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015," IJERPH, MDPI, vol. 16(7), pages 1-18, April.
    4. Linlin Xiao & Xiaohuan Yang & Hongyan Cai, 2017. "The Indirect Roles of Roads in Soil Erosion Evolution in Jiangxi Province, China: A Large Scale Perspective," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
    5. Wang, Qing & Liu, Xuehua & Yue, Tianxiang & Wang, Chenliang & Wilson, John P., 2015. "Using models and spatial analysis to analyze spatio-temporal variations of food provision and food potential across China's agro-ecosystems," Ecological Modelling, Elsevier, vol. 306(C), pages 152-159.
    6. Mingbang Zhu & Shanshan Liu & Ziqing Xia & Guangxing Wang & Yueming Hu & Zhenhua Liu, 2020. "Crop Growth Stage GPP-Driven Spectral Model for Evaluation of Cultivated Land Quality Using GA-BPNN," Agriculture, MDPI, vol. 10(8), pages 1-16, August.
    7. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    8. Yongzhong Tan & Ju He & Zhenning Yu & Yonghua Tan, 2018. "Can Arable Land Alone Ensure Food Security? The Concept of Arable Land Equivalent Unit and Its Implications in Zhoushan City, China," Sustainability, MDPI, vol. 10(4), pages 1-13, March.
    9. Chong Wang & Jiangang Liu & Shuo Li & Ting Zhang & Xiaoyu Shi & Zhaohai Zeng & Yongdeng Lei & Qingquan Chu, 2019. "Diagnosing the Climatic and Agronomic Dimensions of Rain-Fed Oat Yield Gaps and Their Restrictions in North and Northeast China," Sustainability, MDPI, vol. 11(7), pages 1-13, April.
    10. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    11. Zhong, Honglin & Sun, Laixiang & Fischer, Günther & Tian, Zhan & Liang, Zhuoran, 2019. "Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain," Agricultural Systems, Elsevier, vol. 173(C), pages 94-106.
    12. Zhong, Honglin & Sun, Laixiang & Fischer, Günther & Tian, Zhan & van Velthuizen, Harrij & Liang, Zhuoran, 2017. "Mission Impossible? Maintaining regional grain production level and recovering local groundwater table by cropping system adaptation across the North China Plain," Agricultural Water Management, Elsevier, vol. 193(C), pages 1-12.
    13. Fengqiang Wu & Caijian Mo & Xiaojun Dai & Hongmei Li, 2022. "Spatial Analysis of Cultivated Land Productivity, Site Condition and Cultivated Land Health at County Scale," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    14. Linlin Xiao & Xiaohuan Yang & Hongyan Cai & Dingxiang Zhang, 2015. "Cultivated Land Changes and Agricultural Potential Productivity in Mainland China," Sustainability, MDPI, vol. 7(9), pages 1-16, August.
    15. Yue, Tian-Xiang & Tian, Yong-Zhong & Liu, Ji-Yuan & Fan, Ze-Meng, 2008. "Surface modeling of human carrying capacity of terrestrial ecosystems in China," Ecological Modelling, Elsevier, vol. 214(2), pages 168-180.
    16. Tianxiang Li & Tomas Baležentis & Lijuan Cao & Jing Zhu & Irena Kriščiukaitienė & Rasa Melnikienė, 2016. "Are the Changes in China’s Grain Production Sustainable: Extensive and Intensive Development by the LMDI Approach," Sustainability, MDPI, vol. 8(12), pages 1-24, November.
    17. Lin Lin & Ziran Ye & Muye Gan & Amir Reza Shahtahmassebi & Melanie Weston & Jinsong Deng & Shenggao Lu & Ke Wang, 2017. "Quality Perspective on the Dynamic Balance of Cultivated Land in Wenzhou, China," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    18. Jia Gao & Rongrong Zhao & Ge Song & Yuxin Zhan & Yaohui Zhu, 2022. "Spatial–Temporal Evolution Patterns and Regulatory Strategies for Land Resource Carrying Capacity of China’s Major Grain-Producing Areas," Land, MDPI, vol. 11(12), pages 1-17, November.
    19. Li Jiang & Xin Chen & Fei Lun & Zhihua Pan & Jiaheng Niu & Chenyang Ding & Lijun Meng & Guoliang Zhang & Charles Peter Mgeni & Stefan Sieber & Pingli An, 2019. "Spatial Distribution and Changes of the Realizable Triple Cropping System in China," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    20. Shan Xu, 2018. "Temporal and Spatial Characteristics of the Change of Cultivated Land Resources in the Black Soil Region of Heilongjiang Province (China)," Sustainability, MDPI, vol. 11(1), pages 1-12, December.

    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:10:y:2018:i:10:p:3616-:d:174687. 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.