Impact of climate change and crop management on cotton phenology based on statistical analysis in the main-cotton-planting areas of China. (20th May 2021)
- Record Type:
- Journal Article
- Title:
- Impact of climate change and crop management on cotton phenology based on statistical analysis in the main-cotton-planting areas of China. (20th May 2021)
- Main Title:
- Impact of climate change and crop management on cotton phenology based on statistical analysis in the main-cotton-planting areas of China
- Authors:
- Li, Na
Li, Yi
Biswas, Asim
Wang, Jinghong
Dong, Hezhong
Chen, Jinhua
Liu, Chuncheng
Fan, Xiangyang - Abstract:
- Abstract: Phenology is one of the prominent indicators for studying the impact of climate change on crop production. 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 ( P re ), sunshine duration ( S un ), average ( T ave ), minimum ( T min ) and maximum temperatures ( T max ), influence degrees of P re, S un, and T ave 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) P re had a positive effect on most of the lengths phenological stages of cotton except during Bol - Mat . The effect of S un on the length of the various phenological stages of cotton was the opposite of that of P re . T ave, T min, and T max on the general negative effects on the length of the cottonAbstract: Phenology is one of the prominent indicators for studying the impact of climate change on crop production. 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 ( P re ), sunshine duration ( S un ), average ( T ave ), minimum ( T min ) and maximum temperatures ( T max ), influence degrees of P re, S un, and T ave 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) P re had a positive effect on most of the lengths phenological stages of cotton except during Bol - Mat . The effect of S un on the length of the various phenological stages of cotton was the opposite of that of P re . T ave, T min, and T max on the general negative effects on the length of the cotton phenological stages. (3) P re, S un, and T ave 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 management. 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 management or combined effects. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 298(2021)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 298(2021)
- Issue Display:
- Volume 298, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 298
- Issue:
- 2021
- Issue Sort Value:
- 2021-0298-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05-20
- Subjects:
- Climate change -- Crop management -- Cotton phenology -- Seed cotton yield -- Statistical analysis
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2021.126750 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25416.xml