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dc.contributor.authorJu Hen_US
dc.contributor.authorErda, Linen_US
dc.contributor.authorWheeler, Timen_US
dc.contributor.authorChallinor, Andrew J.en_US
dc.contributor.authorJiang Sen_US
dc.date.accessioned2014-12-16T06:37:32Zen_US
dc.date.available2014-12-16T06:37:32Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/52092en_US
dc.titleClimate Change Modelling and its Roles to Chinese Crops Yielden_US
dcterms.abstractClimate has been changing in the last fifty years in China and will continue to change regardless any efforts for mitigation. Agriculture is a climate-dependent activity and highly sensitive to climate changes and climate variability. Understanding the interactions between climate change and agricultural production is essential for society stable development of China. The first mission is to fully understand how to predict future climate and link it with agriculture production system. In this paper, recent studies both domestic and international are reviewed in order to provide an overall image of the progress in climate change researches. The methods for climate change scenarios construction are introduced. The pivotal techniques linking crop model and climate models are systematically assessed and climate change impacts on Chinese crops yield among model results are summarized. The study found that simulated productions of grain crop inherit uncertainty from using different climate models, emission scenarios and the crops simulation models. Moreover, studies have different spatial resolutions, and methods for general circulation model (GCM) downscaling which increase the uncertainty for regional impacts assessment. However, the magnitude of change in crop production due to climate change (at 700 ppm CO2 eq correct) appears within ±10% for China in these assessments. In most literatures, the three cereal crop yields showed decline under climate change scenarios and only wheat in some region showed increase. Finally, the paper points out several gaps in current researches which need more studies to shorten the distance for objective recognizing the impacts of climate change on crops. The uncertainty for crop yield projection is associated with climate change scenarios, CO2 fertilization effects and adaptation options. Therefore, more studies on the fields such as free air CO2 enrichment experiment and practical adaptations implemented need to be carried out.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationJu H, Lin E, Wheeler T, Challinor A, Jiang S. 2013. Climate Change Modelling and its Roles to Chinese Crops Yield. Journal of Integrative Agriculture 12(5):892-902en_US
dcterms.issued2013-05en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.publisherElsevier BVen_US
dcterms.subjectclimateen_US
dcterms.subjectagricultureen_US
dcterms.subjectcrop yielden_US
dcterms.subjectclimate changeen_US
dcterms.subjectforecastingen_US
dcterms.typeJournal Articleen_US
cg.subject.ccafsCLIMATE-SMART TECHNOLOGIES AND PRACTICESen_US
cg.identifier.doihttps://doi.org/10.1016/S2095-3119(13)60307-Xen_US
cg.coverage.regionAsiaen_US
cg.coverage.regionEastern Asiaen_US
cg.coverage.countryChinaen_US
cg.contributor.crpClimate Change, Agriculture and Food Securityen_US
cg.coverage.iso3166-alpha2CNen_US
cg.journalJournal of Integrative Agricultureen_US
cg.issn2095-3119en_US
cg.volume12en_US
cg.issue5en_US


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