Spatial and temporal patterns of agrometeorological indicators in maize producing provinces of South Africa.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
15 07 2022
15 07 2022
Historique:
received:
29
12
2021
accepted:
30
06
2022
entrez:
15
7
2022
pubmed:
16
7
2022
medline:
20
7
2022
Statut:
epublish
Résumé
Climate change impacts on maize production in South Africa, i.e., interannual yield variabilities, are still not well understood. This study is based on a recently released reanalysis of climate observations (AgERA5), i.e., temperature, precipitation, solar radiation, and wind speed data. The study assesses climate change effects by quantifying the trend of agrometeorological indicators, their correlation with maize yield, and analyzing their spatiotemporal patterns using Empirical Orthogonal Function. Thereby, the main agrometeorological factors that affected yield variability for the last 31 years (1990/91-2020/21 growing season) in major maize production provinces, namely Free State, KwaZulu-Natal, Mpumalanga, and North West are identified. Results show that there was a significant positive trend in temperature that averages 0.03-0.04 °C per year and 0.02-0.04 °C per growing season. There was a decreasing trend in precipitation in Free State with 0.01 mm per year. Solar radiation did not show a significant trend. Wind speed in Free State increased at a rate of 0.01 ms
Identifiants
pubmed: 35840590
doi: 10.1038/s41598-022-15847-7
pii: 10.1038/s41598-022-15847-7
pmc: PMC9287399
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
12072Informations de copyright
© 2022. The Author(s).
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