Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia

This paper examines the spatio-temporal trends and variability of temperature and rainfall in Geshi Watershed of South Western Ethiopia. The available gridded daily rainfall and temperature data managed by Ethiopian National Meteorological Agency (NMA) for 1986–2020 was used. Spatial variability and...

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Main Authors: Girma Tilahun Getnet, Amare Bantider Dagnew, Desalegn Yayeh Ayal
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Climate Services
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405880723000456
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author Girma Tilahun Getnet
Amare Bantider Dagnew
Desalegn Yayeh Ayal
author_facet Girma Tilahun Getnet
Amare Bantider Dagnew
Desalegn Yayeh Ayal
author_sort Girma Tilahun Getnet
collection DOAJ
description This paper examines the spatio-temporal trends and variability of temperature and rainfall in Geshi Watershed of South Western Ethiopia. The available gridded daily rainfall and temperature data managed by Ethiopian National Meteorological Agency (NMA) for 1986–2020 was used. Spatial variability and temporal trends of temperature and rainfall were analyzed using XLSTAT and ArcGIS 10.8 software. The Mann-Kendall test was used for trend analysis. Variability analysis was also done using the coefficient of variation and precipitation concentration index. The study reveals constant increasing trends in rainfall; and insignificant and high variability but increasing trends of temperature. The variabilities and trends justify the spatio-temporal differences along different seasons (spring locally known as ‘belg’, summer locally known as ‘kiremt’, and annual). The watershed is characterized by high to moderate rainfall coefficient of variation, significant years of high concentration of rainfall, and substantial negative annual rainfall anomalies; that severe variability was found in the summerseason. These variabilities and trends, especially late onset and early cessation of rainfall and increase in temperature created favorable conditions for insect and disease proliferation that eventually reduces agricultural productivity. Household income, which is solely based on agricultural production, declines which in turn affects household resilience. Maladaptation in the form of deforestation, fuelwood and charcoal selling, agricultural land expansion, and practicing input-intensive agriculture that contributes to greenhouse gas (GHG) emissionsare taken as an alternative livelihood strategy. In conclusion, spatiotemporal variabilities and trends of rainfall and temperature affect agricultural productivity, reduced household resilience leading to low adaptive capacity, and increased GHG emissions, which are known to be major pillars of climate-smart agriculture (CSA). In response, area-specific CSA technologies such as small-scale irrigation, improved animal husbandry, efficient inorganic fertilizer use, using manure, crop residue management, using high-yielding improved crop varieties, and using disease-resistant varieties are recommended.
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spelling doaj.art-b93e66fb48214589812d7d5321b3362e2023-06-18T05:02:57ZengElsevierClimate Services2405-88072023-04-0130100384Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest EthiopiaGirma Tilahun Getnet0Amare Bantider Dagnew1Desalegn Yayeh Ayal2BongaUniversity, Department of Natural Resources and Management, Bonga, Ethiopia; Addis Ababa University, Center for Food Security Studies, Addis Ababa, Ethiopia; Corresponding author at: BongaUniversity, Department of Natural Resources and Management, Bonga, Ethiopia.Addis Ababa University, Center for Food Security Studies, Addis Ababa, EthiopiaAddis Ababa University, Center for Food Security Studies, Addis Ababa, EthiopiaThis paper examines the spatio-temporal trends and variability of temperature and rainfall in Geshi Watershed of South Western Ethiopia. The available gridded daily rainfall and temperature data managed by Ethiopian National Meteorological Agency (NMA) for 1986–2020 was used. Spatial variability and temporal trends of temperature and rainfall were analyzed using XLSTAT and ArcGIS 10.8 software. The Mann-Kendall test was used for trend analysis. Variability analysis was also done using the coefficient of variation and precipitation concentration index. The study reveals constant increasing trends in rainfall; and insignificant and high variability but increasing trends of temperature. The variabilities and trends justify the spatio-temporal differences along different seasons (spring locally known as ‘belg’, summer locally known as ‘kiremt’, and annual). The watershed is characterized by high to moderate rainfall coefficient of variation, significant years of high concentration of rainfall, and substantial negative annual rainfall anomalies; that severe variability was found in the summerseason. These variabilities and trends, especially late onset and early cessation of rainfall and increase in temperature created favorable conditions for insect and disease proliferation that eventually reduces agricultural productivity. Household income, which is solely based on agricultural production, declines which in turn affects household resilience. Maladaptation in the form of deforestation, fuelwood and charcoal selling, agricultural land expansion, and practicing input-intensive agriculture that contributes to greenhouse gas (GHG) emissionsare taken as an alternative livelihood strategy. In conclusion, spatiotemporal variabilities and trends of rainfall and temperature affect agricultural productivity, reduced household resilience leading to low adaptive capacity, and increased GHG emissions, which are known to be major pillars of climate-smart agriculture (CSA). In response, area-specific CSA technologies such as small-scale irrigation, improved animal husbandry, efficient inorganic fertilizer use, using manure, crop residue management, using high-yielding improved crop varieties, and using disease-resistant varieties are recommended.http://www.sciencedirect.com/science/article/pii/S2405880723000456Climatic variabilityTrend analysisVariability analysisClimate-smart agriculture
spellingShingle Girma Tilahun Getnet
Amare Bantider Dagnew
Desalegn Yayeh Ayal
Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia
Climate Services
Climatic variability
Trend analysis
Variability analysis
Climate-smart agriculture
title Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia
title_full Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia
title_fullStr Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia
title_full_unstemmed Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia
title_short Spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem: Implications to climate-smart agriculture in Geshy watershed, Southwest Ethiopia
title_sort spatiotemporal variability and trends of rainfall and temperature in the tropical moist montane ecosystem implications to climate smart agriculture in geshy watershed southwest ethiopia
topic Climatic variability
Trend analysis
Variability analysis
Climate-smart agriculture
url http://www.sciencedirect.com/science/article/pii/S2405880723000456
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