Nasim W., Belhouchette H., Ahmad A., Rasul G., Jabran K., Ullah K., Fahad S., Shakeel M., Habib-ur-Rahman M., Hoogenboom G. (2016). Modelling climate change impacts and adaptation strategies for sunflower in Pakistan. Outlook on Agriculture, 01/03/2016, vol. 45, n. 1, p. 39-45.
https://doi.org/10.5367/oa.2015.0226
https://doi.org/10.5367/oa.2015.0226
Titre : | Modelling climate change impacts and adaptation strategies for sunflower in Pakistan (2016) |
Auteurs : | W. Nasim ; H. Belhouchette ; A. Ahmad ; G. Rasul ; K. Jabran ; K. Ullah ; S. Fahad ; M. Shakeel ; M. Habib-ur-Rahman ; G. Hoogenboom |
Type de document : | Article |
Dans : | Outlook on Agriculture (vol. 45, n. 1, March 2016) |
Article en page(s) : | p. 39-45 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM SYSTEME DE PRODUCTION ; ADAPTATION AU CHANGEMENT ; CHANGEMENT CLIMATIQUE ; MODELE BIOECONOMIQUE ; HELIANTHUS ANNUUS ; ZONE AGROCLIMATIQUE ; HUILE DE TOURNESOL ; PAKISTAN |
Résumé : | Issues such as climate change, food security, water scarcity and environmental sustainability have all 18 become major global challenges. As a consequence, increasing crop productivity has become an 19 important aspect in improving resource use efficiency. Crop models are increasingly being used as 20 tools for supporting strategic and tactical decision-making in support of yield forecasting under 21 varying agroclimate and socio economic conditions. The use of simulation tools can also support 22 adaptation strategies to limit the adverse impacts of climate change. In this paper we report on a field 23 study carried out to assess the impacts of climate change on grain yield in sunflower under arid, semi arid 24 and sub humid conditions in the Punjab region, Pakistan. Experimental field data obtained between 2008 25 and 2009was used for model parameterization and application. The study focused on the impacts of 26 incremental temperature change on sunflower production. The modeling suggests that grain yield 27 could reduce by up to 15% by the 2020s with an average increase in temperature of +1oC and by up to 28 25% if temperatures increased by up to 2oC for the 2050s, respectively. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.5367/oa.2015.0226 |