Web of Science: 16 cites, Scopus: 17 cites, Google Scholar: cites,
Plausible rice yield losses under future climate warming
Zhao, Chuang (Sino-French Institute for Earth System Science)
Piao, Shilong (Sino-French Institute for Earth System Science)
Wang, Xuhui (Sino-French Institute for Earth System Science)
Huang, Yao (Zhongguo ke xue yuan. State Key Laboratory of Vegetation and Environmental Change)
Ciais, Philippe (Laboratoire des Sciences du Climat et de L'Environnement)
Elliott, Joshua (University of Chicago Computation Institute)
Huang, Mengtian (Sino-French Institute for Earth System Science)
Janssens, Ivan A. (Universiteit Antwerpen. Departement Biologie)
Li, Tao (International Rice Research Institute)
Lian, Xu (Sino-French Institute for Earth System Science)
Liu, Yongwen (Sino-French Institute for Earth System Science)
Müller, Christoph (Potsdam-Institut für Klimafolgenforschung)
Peng, Shushi (Sino-French Institute for Earth System Science)
Wang, Tao (Institute of Tibetan Plateau Research)
Zhenzhong Zeng (Sino-French Institute for Earth System Science)
Peñuelas, Josep (Centre de Recerca Ecològica i Aplicacions Forestals)

Títol variant: The impact of future warming on global rice yield
Data: 2017
Resum: Rice is the staple food for more than 50% of the world’s population1-3. Reliable prediction of changes in rice yield is thus central for maintaining global food security. Here, we compare the sensitivity of rice yield to temperature increase derived from field warming experiments and three modelling approaches: statistical models, local crop models and global gridded crop models. Field warming experiments produced a substantial rice yield loss under warming, with an average temperature sensitivity of -5. 2±1. 4% K-1. Local crop models gave a similar sensitivity (-6. 3±0. 4% K-1), but statistical and global gridded crop models both suggest less negative impacts of warming on yields (0. 8±0. 3% K-1 and -2. 4±3. 7% 38 K-1, respectively). Using data from field warming experiments, we further propose a conditional probability approach to constrain the large range of global gridded crop model results for the changes in future yield in response to warming by the end of the century (from -1. 3% K-1 to -9. 3% K-1). The constraint implies a more negative response to warming (–8. 3±1. 4% K-1) and reduces the spread of the model ensemble by 35%. This yield reduction exceeds that estimated by the International Food Policy Research Institute assessment (-4. 2 to -6. 4% K-1)4. Our study suggests that without CO2 fertilization, effective adaptation and genetic improvement, severe rice yield losses are plausible under intensive climate warming scenarios.
Nota: Imbalance P
Nota: Número d'acord de subvenció EC/FP/610028
Drets: Tots els drets reservats
Llengua: Anglès.
Document: article ; recerca ; acceptedVersion
Publicat a: Nature plants, Vol. 3 (Des. 2016) , art. 16202, ISSN 2055-026X

DOI: 10.1038/nplants.2016.202

27 p, 832.5 KB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2017-04-07, darrera modificació el 2019-02-02

   Favorit i Compartir