气候变化领域集成服务门户(CCPortal): Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa

CCPortal

DOI	10.1016/j.jag.2024.103833
	Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa
	Mpakairi, Kudzai S.; Dube, Timothy; Sibanda, Mbulisi; Mutanga, Onisimo; Nin, El
发表日期	2024
ISSN	1569-8432
EISSN	1872-826X
起始页码	129
卷号	129
英文摘要	The impact of climate variability and extreme weather events on agricultural productivity in arid environments has become a focal point in contemporary research. Monitoring crop water productivity (CWP) is critical and urgently required especially in the arid regions where agriculture consumes an above-average portion of the available fresh water resources. In this context, this study aimed to demonstrate the utility of remotely sensed data in assessing CWP and water use dynamics across diverse crop types in South Africa during the El Nino (2018/19) and non-El Nino (2021/22) events. In addressing the objective, the study also assessed the intra- and inter-annual variations in crop water productivity for diverse crop types including, grains, grapes, citrus fruits, teas, planted pastures, and oil seeds. The study used potential evapotranspiration and biomass derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite to estimate CWP from 2017 to 2021. This period included El Nino (2018/19) and non-El Nino (2021/22) years. The results showed that potential evapotranspiration (PET) derived from MODIS was related to the PET estimated from weather stations (R-2 > 0.6; RMSE < 21.90; p-value < 0.001). In terms of water use, planted pastures had the highest water use 114 mm/ month), while teas and citrus fruits had the lowest water use (6 mm/month). Citrus fruits, grapes and teas consistently had the lowest annual mean crop water productivity (<0.02 kg/m(3)/annually), while oil seeds had the highest annual mean crop water productivity (>0.1 kg/m3/annually). Lastly, there were no significant differences (p-value > 0.05) between the CWP for all the crops observed between El Nino (2018/19) and non-El Nino (2021/22) periods, suggesting the effectiveness of adaptation measures and interventions during this period. These results provide a simple, spatially explicit framework, relevant to understanding crop-water use, laying the groundwork for informed decision-making and sustainable agricultural practices. Integrating these findings into policy frameworks and agricultural strategies is paramount for ensuring food security and resilience in a changing climate.
英文关键词	MODIS; Water management; Water scarcity; Sustainable agriculture
语种	英语
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:001231815000001
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305172
作者单位	University of the Western Cape; University of the Western Cape; University of Kwazulu Natal
推荐引用方式 GB/T 7714	Mpakairi, Kudzai S.,Dube, Timothy,Sibanda, Mbulisi,et al. Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa[J],2024,129.
APA	Mpakairi, Kudzai S.,Dube, Timothy,Sibanda, Mbulisi,Mutanga, Onisimo,&Nin, El.(2024).Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,129.
MLA	Mpakairi, Kudzai S.,et al."Remote sensing crop water productivity and water use for sustainable agriculture during extreme weather events in South Africa".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 129(2024).