文献类型： 外文期刊

作者： Li, Na ¹ ; Li, Yi ² ; Biswas, Asim ⁴ ; Wang, Jinghong ⁵ ; Dong, Hezhong ⁶ ; Chen, Jinhua ⁸ ; Liu, Chuncheng ⁹ ; Fan, Xiangyang ⁹ ;

作者机构： 1.Northwest A&F Univ, Inst Water & Soil Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China

2.Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China

3.Northwest Agr & Forestry Univ, Key Lab Agr Water & Soil Engn, Educ Minist, Yangling 712100, Shaanxi, Peoples R China

4.Univ Guelph, Sch Environm Sci, Guelph, ON N1G 2W1, Canada

5.Shaanxi Meteorol Serv, Ctr Agr Remote Sensing & Econ Crops, Xian 710015, Peoples R China

6.Shandong Acad Agr Sci, Cotton Res Ctr, Jinan 250100, Shandong, Peoples R China

7.Shandong Normal Univ, Coll Life Sci, Jinan 250014, Shandong, Peoples R China

8.Anhui Agrometeorol Ctr, Auhui Rural Comprehens Econ Informat Ctr, Hefei 230031, Anhui, Peoples R China

9.CAAS, Inst Farmland & Irrigat, Key Lab Water Saving Irrigat Engn, Minist Agr, Xinxiang 453002, Henan, Peoples R China

关键词： Climate change; Crop management; Cotton phenology; Seed cotton yield; Statistical analysis

期刊名称：JOURNAL OF CLEANER PRODUCTION （ 影响因子：7.246； 五年影响因子：7.491 ）

ISSN： 0959-6526

年卷期： 2021 年 298 卷

页码：

收录情况： SCI

摘要： Phenology is one of the prominent indicators for studying the impact of climate change on crop pro-duction. Based on cotton phenology and meteorological data from 79 agricultural weather stations in China between 1981 and 2017, the Pearson correlation, multi-variate linear regression and path analysis are applied to investigate the spatial and temporal changes of cotton phenological indices and climate variables (precipitation (Pre), sunshine duration (Sun), average (Tave), minimum (Tmin) and maximum temperatures (Tmax), influence degrees of Pre, Sun, and Tave on phenology, and isolated effects of climate change and crop management on cotton phenology. The results showed that: (1) Emergence (Eme), squaring (Squ), flowering (Flo), and boll opening (Bol) dates of cotton advanced by 0.026-0.351 days year?1, respectively. The cotton sowing (Sow) and maturity (Mat) dates were delayed by 0.170 and 0.337 days year?1. The average phenological stages from Sow-Eme, Squ-Flo, and Flo -Bol were shortened about 0.19-0.30 days year?1, Eme-Squ, Bol -Mat and the Sow-Mat were delayed by 0.11, 0.77, and 0.082 days year?1, respectively. (2) Pre had a positive effect on most of the lengths phenological stages of cotton except during Bol -Mat. The effect of Sun on the length of the various phenological stages of cotton was the opposite of that of Pre. Tave, Tmin, and Tmax on the general negative effects on the length of the cotton phenological stages. (3) Pre, Sun, and Tave had different influence degrees on the cotton phenological stages because of different regional climate characteristics. (4) The impact of climate change on cotton phenology was weaker than crop management or combined effects of climate change and crop man-agement. Under the combined impacts, and isolated impact of crop management, the lengths of the stages from Sow-Eme and Squ-Flo were shortened while other phenological stages were extended. The isolated impact of climate change shortened the lengths of stages from Sow-Eme, Eme-Squ, and Flo -Bol, extended Squ-Flo, Bol -Mat, and Sow-Mat, implying that the longer-duration cotton varieties in a changing climate might be a better choice for planting. This could be a viable strategy for adapting to climate change. In addition, the study found that Seed cotton yield (Scy) decreased with the delay of Sow, Eme, Squ, Flo and Bol dates, increased with the increase of the lengths of Sow-Eme, Flo -Bol, Bol -Mat and Sow- Mat. And the change trend of Scy affected by climate change was less than that affected by crop man-agement or combined effects. (c) 2021 Elsevier Ltd. All rights reserved. Superscript/Subscript Available