Long-term climate change and anthropogenic activities together with regional water resources and agricultural productivity in Uganda using Google Earth Engine

Abhishek  Banerjee; Dilshad Ariz; Benson Turyasingura; Shray  Pathak; Wasim Sajjad; Nilesh  Yadav; Kelly L. Kirsten

doi:10.1016/j.pce.2024.103545

Long-term climate change and anthropogenic activities together with regional water resources and agricultural productivity in Uganda using Google Earth Engine

Abhishek Banerjee
, Dilshad Ariz
, Benson Turyasingura
, Shray Pathak
, Wasim Sajjad
, Nilesh Yadav
, Kelly L. Kirsten

Chinese Academy of Sciences
Jamia Millia Islamia
Kabale University
Indian Institute of Technology Ropar
East China Normal University

Research output: Contribution to journal › Article › peer-review

45 Citations (Scopus)

40 Downloads (Pure)

Abstract

Uganda with its fragile ecosystem, large-scale human activities, and increasing population pressure, all of which combined, make this region increasingly susceptible to climate variation. This study examined the long-term trends of annual, seasonal, and monthly distributions of rainfall and temperature from 2001 to 2021 together with crop-wise agricultural productivity. For the analysis, we obtained CHIRPS-V2.0 (Climate Hazards Group InfraRed Precipitation with Station Data version 2.0) rainfall, Moderate Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST), DMSP nighttime lights, ESA land cover attribution, and international crop production assessment records. Subsequently, several non-parametric statistical applications were applied to check the long-term spatio-temporal trends of climate parameters and their inter-relationship at higher significance using the Google Earth Engine platform. The investigation reveals an annual increase in LST, averaging 0.01 °C/year along with decreasing rainfall (1.89 mm/year). However, regional climate trends are largely elevation-dependent, which are predominantly subjected to the northern part of the study area witnessing a slight decrease in LST and thereby increased rainfall. Moreover, the long-term spatial nexus estimation divulges a potent inverse association between rainfall and temperature in the north and northeastern regions of the study area. Concurrently, changing patterns also have led to a decline in crop production and deterioration in water availability, which is accompanied by various other abnormalities, including the scarcity of water resources and anthropogenic activities. Changing climate has had significant implications on crop production, largely on corn and soybean as long-term shifts influence it in average rainfall and temperature, yearly fluctuations, and disturbances during various growth stages.

Original language	English
Article number	103545
Number of pages	10
Journal	Physics and Chemistry of the Earth, Parts A/B/C
Volume	134
Early online date	6 Jan 2024
DOIs	https://doi.org/10.1016/j.pce.2024.103545
Publication status	Published - Jun 2024

Bibliographical note

© 2024, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funder

This research was funded by the Gansu Postdoctoral Science Foundation (E339880202).

Funding

This research was funded by the Gansu Postdoctoral Science Foundation (E339880202).

Funders	Funder number
Gansu Postdoctoral Science Foundation	E339880202

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Climate change
Agricultural productivity
Water resource management
CHIRPS
Google Earth Engine
Uganda

Access to Document

10.1016/j.pce.2024.103545

Kirsten2024AAMAccepted author manuscript, 3.02 MBLicence: CC BY-NC-ND

Cite this

Banerjee, A., Ariz, D., Turyasingura, B., Pathak , S., Sajjad, W., Yadav , N., & Kirsten, K. L. (2024). Long-term climate change and anthropogenic activities together with regional water resources and agricultural productivity in Uganda using Google Earth Engine. Physics and Chemistry of the Earth, Parts A/B/C, 134, Article 103545. https://doi.org/10.1016/j.pce.2024.103545

Long-term climate change and anthropogenic activities together with regional water resources and agricultural productivity in Uganda using Google Earth Engine. / Banerjee, Abhishek ; Ariz, Dilshad; Turyasingura, Benson et al.
In: Physics and Chemistry of the Earth, Parts A/B/C, Vol. 134, 103545, 06.2024.

Research output: Contribution to journal › Article › peer-review

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abstract = "Uganda with its fragile ecosystem, large-scale human activities, and increasing population pressure, all of which combined, make this region increasingly susceptible to climate variation. This study examined the long-term trends of annual, seasonal, and monthly distributions of rainfall and temperature from 2001 to 2021 together with crop-wise agricultural productivity. For the analysis, we obtained CHIRPS-V2.0 (Climate Hazards Group InfraRed Precipitation with Station Data version 2.0) rainfall, Moderate Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST), DMSP nighttime lights, ESA land cover attribution, and international crop production assessment records. Subsequently, several non-parametric statistical applications were applied to check the long-term spatio-temporal trends of climate parameters and their inter-relationship at higher significance using the Google Earth Engine platform. The investigation reveals an annual increase in LST, averaging 0.01 °C/year along with decreasing rainfall (1.89 mm/year). However, regional climate trends are largely elevation-dependent, which are predominantly subjected to the northern part of the study area witnessing a slight decrease in LST and thereby increased rainfall. Moreover, the long-term spatial nexus estimation divulges a potent inverse association between rainfall and temperature in the north and northeastern regions of the study area. Concurrently, changing patterns also have led to a decline in crop production and deterioration in water availability, which is accompanied by various other abnormalities, including the scarcity of water resources and anthropogenic activities. Changing climate has had significant implications on crop production, largely on corn and soybean as long-term shifts influence it in average rainfall and temperature, yearly fluctuations, and disturbances during various growth stages.",

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AU - Sajjad, Wasim

AU - Yadav , Nilesh

AU - Kirsten, Kelly L.

N1 - © 2024, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

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Long-term climate change and anthropogenic activities together with regional water resources and agricultural productivity in Uganda using Google Earth Engine

Abstract

Bibliographical note

Funder

Funding

UN SDGs

Keywords

Access to Document

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