气候变化领域集成服务门户(CCPortal): Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China

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DOI	10.1016/j.agwat.2024.108812
	Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China
	Meng, Huayue; Qian, Long
发表日期	2024
ISSN	0378-3774
EISSN	1873-2283
起始页码	296
卷号	296
英文摘要	In evaluating the impacts of drought and flooding disasters on crop yields, accurately calculating meteorological yield (i.e., detrended yield) is an important procedure. The present work aimed to compare various yielddetrending methods in terms of characterizing the regression relationships between meteorological yield and the intensities of drought and flooding. Taking the middle -and -lower reach of the Yangtze River (MLRYR) as the study region, the intensities of drought and flooding during the growing seasons of four study crops (cotton, oilseed rape, wheat, and maize) were quantified using the standardized precipitation evapotranspiration index. Nine popular yield-detrending methods and the first -difference method were employed to determine meteorological yields. The results indicated that the examined methods consistently identified the cases with very significant yield -reducing impacts of drought and flooding. The first -difference method identified 58 significant regression relationships, outperforming the yield-detrending methods (identifying 39 - 44 significant regression relationships). The 20-yr moving average and the linear fitting methods performed best at the provincial level, while the cubic smoothing spline and the quadratic polynomial fitting methods performed best at the district level. Based on these best -performing methods, the average method was proposed and exhibited wider applicability and better performance than the individual methods. In terms of meteorological yield losses, cotton was the most affected crop (35% of all districts experienced severe cotton yield loss) and Anhui was the most affected region (with an average crop yield loss of 14.06%). The yield -reducing impact of flooding was significant in 41 districts; in comparison, the impact of drought was significant only in 7 districts. Additionally, oilseed rape was the crop most affected by drought and flooding. These results can provide guidance for assessing agricultural drought and flooding disasters under climate change.
英文关键词	Yield loss; Climate change; Disaster risk reduction; SPEI; Crop water relation; Food security
语种	英语
WOS研究方向	Agriculture ; Water Resources
WOS类目	Agronomy ; Water Resources
WOS记录号	WOS:001224047700001
来源期刊	AGRICULTURAL WATER MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290915
作者单位	Wuhan University; Sun Yat Sen University
推荐引用方式 GB/T 7714	Meng, Huayue,Qian, Long. Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China[J],2024,296.
APA	Meng, Huayue,&Qian, Long.(2024).Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China.AGRICULTURAL WATER MANAGEMENT,296.
MLA	Meng, Huayue,et al."Performances of different yield-detrending methods in assessing the impacts of agricultural drought and flooding: A case study in the middle-and-lower reach of the Yangtze River, China".AGRICULTURAL WATER MANAGEMENT 296(2024).