IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i3p714-d201834.html
   My bibliography  Save this article

A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China

Author

Listed:
  • Lu Wu

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Liping Feng

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Yizhuo Li

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Jing Wang

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Lianhai Wu

    (Sustainable Agriculture Systems, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK)

Abstract

Southwestern China (SWC), one of the major rain-fed wheat production zones in China, has become vulnerable to drought in recent years under global climate change. To quantify drought severity during the wheat growing season and its impact on yield loss, we selected the Agricultural Production Systems sIMulator (APSIM) model to simulate wheat growth between 1961 and 2010 in SWC. A new drought index was developed considering different weighting factors of drought for yield loss in three growing phases. The index was shown to be reliable in assessing drought severity in the region. On average, an abnormal drought mainly occurred in mid-west Guizhou with a frequency of 10–30%. Central SWC was subjected to moderate drought with a frequency of 10–30%, whereas severe drought often occurred in Southern Sichuan and the middle of Yunnan with a frequency >50%. Temporally, drought severity fluctuated before 1990, but increased significantly afterwards. Our assessment suggested that irrigation during the period from floral initiation to flowering would help to ameliorate the effects of water stress under climatic variability in the region.

Suggested Citation

  • Lu Wu & Liping Feng & Yizhuo Li & Jing Wang & Lianhai Wu, 2019. "A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China," Sustainability, MDPI, vol. 11(3), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:714-:d:201834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/3/714/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/3/714/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. L Liu & Z. X. Xu, 2016. "Regionalization of precipitation and the spatiotemporal distribution of extreme precipitation in southwestern China," 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. 80(2), pages 1195-1211, January.
    2. X. Zhang & Y. Yamaguchi, 2014. "Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009/2010 drought over southwestern China," 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. 74(3), pages 2129-2145, 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. Chujie Gao & Haishan Chen & Shanlei Sun & Victor Ongoma & Wenjian Hua & Hedi Ma & Bei Xu & Yang Li, 2018. "A potential predictor of multi-season droughts in Southwest China: soil moisture and its memory," 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. 91(2), pages 553-566, March.
    2. Omolola M. Adisa & Muthoni Masinde & Joel O. Botai & Christina M. Botai, 2020. "Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    3. Junqiang Yao & Moyan Li & Qing Yang, 2018. "Moisture sources of a torrential rainfall event in the arid region of East Xinjiang, China, based on a Lagrangian model," 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. 92(1), pages 183-195, November.
    4. Nazla Bushra & Robert V. Rohli & Nina S. N. Lam & Lei Zou & Rubayet Bin Mostafiz & Volodymyr Mihunov, 2019. "The relationship between the Normalized Difference Vegetation Index and drought indices in the South Central United States," 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. 96(2), pages 791-808, March.
    5. Gerardo Núñez-González, 2020. "Analysis of the trends in precipitation and precipitation concentration in some climatological stations of Mexico from 1960 to 2010," 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. 104(2), pages 1747-1761, November.
    6. Manman Zhang & Dang Luo & Yongqiang Su, 2022. "Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion," 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. 111(1), pages 775-801, March.
    7. Jian Fang & Feng Kong & Jiayi Fang & Lin Zhao, 2018. "Observed changes in hydrological extremes and flood disaster in Yangtze River Basin: spatial–temporal variability and climate change impacts," 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. 93(1), pages 89-107, August.
    8. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).
    9. Sara Hashempour Motlagh Shirazi & Davar Khalili & Shahrokh Zand-Parsa & Amin Shirvani, 2022. "Spatio-temporal variability of extreme precipitation characteristics under different climatic conditions in Fars province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11348-11368, September.
    10. Yue Zhang & Kai Huang & Yajuan Yu & Tingting Hu & Jing Wei, 2015. "Impact of climate change and drought regime on water footprint of crop production: the case of Lake Dianchi Basin, China," 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. 79(1), pages 549-566, October.
    11. Xin Wang & Xin Zhang, 2024. "Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(5), August.

    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:3:p:714-:d:201834. 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.