TY - JOUR
T1 - Regional differences in the performance of drought mitigation measures in 12 major wheat-growing regions of the world
AU - Wu, Bingfang
AU - Ma, Zonghan
AU - Boken, Vijendra K.
AU - Zeng, Hongwei
AU - Shang, Jiali
AU - Igor, Savin
AU - Wang, Jinxia
AU - Yan, Nana
N1 - Funding Information:
This research was jointly supported by the National Key Research and Development Program of China (Grant No. 2016YFA0600304) and the National Natural Science Foundation of China (No. 41991232, No. 41561144013). The authors thank Remi Lecerf and Bettina Baruth from JRC for their valuable comments on the earlier draft. The crop mask data used for wheat area extraction in the study are available from the Land Use and Global Environment (LUGE) laboratory at the University of British Columbia (http://www.earthstat.org/harvested-area-yield-4-crops-1995-2005/). The crop calendar map used for wheat phenology and the growing period is available from the Center for Sustainability and the Global Environment, University of Wisconsin-Madison (https://nelson.wisc.edu/sage/data-and-models/crop-calendar-dataset/index.php). The Palmer drought severity index (PDSI) dataset used for ADAC calculation is available from the TerraClimate (http://www.climatologylab.org/terraclimate.html) dataset supported by the University of Idaho. The vegetation health index (VHI) dataset for ADAC calculation is available from https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/vh_ftp.php, provided by NOAA STAR.
Funding Information:
This research was jointly supported by the National Key Research and Development Program of China (Grant No. 2016YFA0600304 ) and the National Natural Science Foundation of China (No. 41991232 , No. 41561144013 ). The authors thank Remi Lecerf and Bettina Baruth from JRC for their valuable comments on the earlier draft.
Funding Information:
The crop mask data used for wheat area extraction in the study are available from the Land Use and Global Environment (LUGE) laboratory at the University of British Columbia ( http://www.earthstat.org/harvested-area-yield-4-crops-1995-2005/ ). The crop calendar map used for wheat phenology and the growing period is available from the Center for Sustainability and the Global Environment, University of Wisconsin-Madison ( https://nelson.wisc.edu/sage/data-and-models/crop-calendar-dataset/index.php ). The Palmer drought severity index (PDSI) dataset used for ADAC calculation is available from the TerraClimate ( http://www.climatologylab.org/terraclimate.html ) dataset supported by the University of Idaho. The vegetation health index (VHI) dataset for ADAC calculation is available from https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/vh_ftp.php , provided by NOAA STAR.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Drought is considered one of the key barriers influencing wheat production, and various adaptation schemes are practiced globally to mitigate drought impacts. However, it is difficult to precisely assess the performances of drought mitigation measures, especially when multiple measures are implemented simultaneously. Here, a remote sensing-based agricultural drought-affected area change index (ADAC) was applied to assess the performance of drought mitigation schemes, which separates and avoids confusion between performances of drought mitigation and wheat yield improvement. The results revealed the historical performance changes and regional differences under drought mitigation measures in 12 major wheat-growing regions (WGRs) of the world. The drought mitigation efforts have steadily succeeded, with a reduction in the drought-affected area of approximately 14.5 % in the 1980s and 28.5 % in the last decade, relatively 55 % of drought-affected areas are alleviated in the 12 WGRs. However, there are significant regional differences ranging from 28 % to 79 % in the 12 WGRs. The drought mitigation measures implemented in the WGRs of China and India, followed by France and Ukraine, are more effective than other regions, while a few are still declining. By further evaluating the effects of short-term and long-term drought mitigation strategies taken in the WGRs, we found that irrigation is the main drought mitigation measure in dryland, while measures such as conservation tillage are of great value for yield stability for both dry and wet areas. The results of this study improve the understanding of the regional performance of drought mitigation schemes and will help stakeholders to select appropriate measures.
AB - Drought is considered one of the key barriers influencing wheat production, and various adaptation schemes are practiced globally to mitigate drought impacts. However, it is difficult to precisely assess the performances of drought mitigation measures, especially when multiple measures are implemented simultaneously. Here, a remote sensing-based agricultural drought-affected area change index (ADAC) was applied to assess the performance of drought mitigation schemes, which separates and avoids confusion between performances of drought mitigation and wheat yield improvement. The results revealed the historical performance changes and regional differences under drought mitigation measures in 12 major wheat-growing regions (WGRs) of the world. The drought mitigation efforts have steadily succeeded, with a reduction in the drought-affected area of approximately 14.5 % in the 1980s and 28.5 % in the last decade, relatively 55 % of drought-affected areas are alleviated in the 12 WGRs. However, there are significant regional differences ranging from 28 % to 79 % in the 12 WGRs. The drought mitigation measures implemented in the WGRs of China and India, followed by France and Ukraine, are more effective than other regions, while a few are still declining. By further evaluating the effects of short-term and long-term drought mitigation strategies taken in the WGRs, we found that irrigation is the main drought mitigation measure in dryland, while measures such as conservation tillage are of great value for yield stability for both dry and wet areas. The results of this study improve the understanding of the regional performance of drought mitigation schemes and will help stakeholders to select appropriate measures.
KW - Alleviation
KW - Drought
KW - Mitigation
KW - Remote sensing
KW - Wheat
KW - Yield
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U2 - 10.1016/j.agwat.2022.107888
DO - 10.1016/j.agwat.2022.107888
M3 - Article
AN - SCOPUS:85136468680
SN - 0378-3774
VL - 273
JO - Agricultural Water Management
JF - Agricultural Water Management
M1 - 107888
ER -