Climate trends and soybean production since 1970 in Mississippi: Empirical evidence from ARDL model.
ARDL model
Abiotic stresses
Climate change
Crop modeling
Crop yield
Food security
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
20 Dec 2023
20 Dec 2023
Historique:
received:
27
07
2023
revised:
07
09
2023
accepted:
11
09
2023
medline:
15
11
2023
pubmed:
16
9
2023
entrez:
15
9
2023
Statut:
ppublish
Résumé
Studying historical response of crops to weather conditions at a finer scale is essential for devising agricultural strategies tailored to expected climate changes. However, determining the relationship between crop and climate in Mississippi (MS) remains elusive. Therefore, this research attempted to i) estimate climate trends between 1970 and 2020 in MS during the soybean growing season (SGS) using the Mann-Kendall and Sen slope method, ii) calculate the impact of climate change on soybean yield using an auto-regressive distributive lag (ARDL) econometric model, and iii) identify the most critical months from a crop-climate perspective by generating a correlation between the detrended yield and the monthly average for each climatic variable. Specific variables considered were maximum temperature (Tmax), minimum temperature (Tmin), diurnal temperature range (DTR), precipitation (PT), carbon dioxide emissions (CO
Identifiants
pubmed: 37714355
pii: S0048-9697(23)05671-1
doi: 10.1016/j.scitotenv.2023.167046
pii:
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
167046Informations de copyright
Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors of this manuscript have no conflict interests to disclose.