Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda

Uganda is vulnerable to climate change as most of its agriculture is rain-fed; agriculture is also the backbone of the economy, and the livelihoods of many people depend upon it. Variability in rainfall may be reflected in the productivity of agricultural systems and pronounced variability may result in adverse impacts on productivity. It is therefore imperative to generate agronomically relevant seasonal rainfall and temperature characteristics to guide decision-making. In this study, historical data sets of daily rainfall and temperature were analysed to generate seasonal characteristics based on monthly and annual timescales. The results show that variability in rainfall onset dates across Uganda is greater than the variability in withdrawal dates. Consequently, even when rains start late, withdrawal is timely, thus making the growing season shorter. During the March-May rainy season, the number of rainy days during this critical period of crop growth is decreasing, which possibly means that crops grown in this season are prone to climatic risks and therefore in need of appropriate adaptation measures. A time-series analysis of the maximum daily temperature clearly revealed an increase in temperature, with the lower limits of the ranges of daily maximums increasing faster than the upper limits. Finally, this study has generated information on seasonal rainfall characteristics that will be vital in exploiting the possibilities offered by climatic variability and also offers opportunities for adapting to seasonal distribution so as to improve and stabilise crop yields.

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Main Authors: Mubiru,Drake N, Komutunga,Everline, Agona,Ambrose, Apok,Anne, Ngara,Todd
Format: Digital revista
Language:English
Published: Academy of Science of South Africa 2012
Online Access:http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0038-23532012000200020
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spelling oai:scielo:S0038-235320120002000202012-08-23Characterising agrometeorological climate risks and uncertainties: Crop production in UgandaMubiru,Drake NKomutunga,EverlineAgona,AmbroseApok,AnneNgara,ToddUganda is vulnerable to climate change as most of its agriculture is rain-fed; agriculture is also the backbone of the economy, and the livelihoods of many people depend upon it. Variability in rainfall may be reflected in the productivity of agricultural systems and pronounced variability may result in adverse impacts on productivity. It is therefore imperative to generate agronomically relevant seasonal rainfall and temperature characteristics to guide decision-making. In this study, historical data sets of daily rainfall and temperature were analysed to generate seasonal characteristics based on monthly and annual timescales. The results show that variability in rainfall onset dates across Uganda is greater than the variability in withdrawal dates. Consequently, even when rains start late, withdrawal is timely, thus making the growing season shorter. During the March-May rainy season, the number of rainy days during this critical period of crop growth is decreasing, which possibly means that crops grown in this season are prone to climatic risks and therefore in need of appropriate adaptation measures. A time-series analysis of the maximum daily temperature clearly revealed an increase in temperature, with the lower limits of the ranges of daily maximums increasing faster than the upper limits. Finally, this study has generated information on seasonal rainfall characteristics that will be vital in exploiting the possibilities offered by climatic variability and also offers opportunities for adapting to seasonal distribution so as to improve and stabilise crop yields.Academy of Science of South AfricaSouth African Journal of Science v.108 n.3-4 20122012-01-01journal articletext/htmlhttp://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0038-23532012000200020en
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country Sudáfrica
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region África del Sur
libraryname SciELO
language English
format Digital
author Mubiru,Drake N
Komutunga,Everline
Agona,Ambrose
Apok,Anne
Ngara,Todd
spellingShingle Mubiru,Drake N
Komutunga,Everline
Agona,Ambrose
Apok,Anne
Ngara,Todd
Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda
author_facet Mubiru,Drake N
Komutunga,Everline
Agona,Ambrose
Apok,Anne
Ngara,Todd
author_sort Mubiru,Drake N
title Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda
title_short Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda
title_full Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda
title_fullStr Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda
title_full_unstemmed Characterising agrometeorological climate risks and uncertainties: Crop production in Uganda
title_sort characterising agrometeorological climate risks and uncertainties: crop production in uganda
description Uganda is vulnerable to climate change as most of its agriculture is rain-fed; agriculture is also the backbone of the economy, and the livelihoods of many people depend upon it. Variability in rainfall may be reflected in the productivity of agricultural systems and pronounced variability may result in adverse impacts on productivity. It is therefore imperative to generate agronomically relevant seasonal rainfall and temperature characteristics to guide decision-making. In this study, historical data sets of daily rainfall and temperature were analysed to generate seasonal characteristics based on monthly and annual timescales. The results show that variability in rainfall onset dates across Uganda is greater than the variability in withdrawal dates. Consequently, even when rains start late, withdrawal is timely, thus making the growing season shorter. During the March-May rainy season, the number of rainy days during this critical period of crop growth is decreasing, which possibly means that crops grown in this season are prone to climatic risks and therefore in need of appropriate adaptation measures. A time-series analysis of the maximum daily temperature clearly revealed an increase in temperature, with the lower limits of the ranges of daily maximums increasing faster than the upper limits. Finally, this study has generated information on seasonal rainfall characteristics that will be vital in exploiting the possibilities offered by climatic variability and also offers opportunities for adapting to seasonal distribution so as to improve and stabilise crop yields.
publisher Academy of Science of South Africa
publishDate 2012
url http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0038-23532012000200020
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