Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation.

By Andrew J. Challinor, Frank Ewert, Stephen R. Arnold, E. Simelton, Evan D. G. Fraser. Journal of Experimental Botany, 2009

431 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Plant Science

View Paper: https://www.semanticscholar.org/paper/d4bfd6bff11a987b368ae29ccee9517a046e0ae9

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Citations in the corpus

Climate change and the growth of the livestock sector in developing countries (2010, background): “As atmospheric CO2 increases, C3 crops may accumulate more biomass, and both C3 and C4 crops may use less water ( Challinor et al. 2009 ).”
Crop modelling for integrated assessment of risk to food production from climate change (2015, methodology): “The use of dynamic, process-based crop and cropping system simulation models for climate change impact and risk assessment studies has become increasingly important (Tubiello and Ewert, 2002; Challinor et al., 2009a; White et al., 2011; R€otter et al., 2012a; Angulo et al., 2013b).”
Consistent alleviation of abiotic stress with silicon addition: a meta-analysis. (2016, background): “…expanding 474 cropping into sub-optimal areas, emission from industry, use of wastewater for irrigation and misuse of 475 fertilisers and pesticides are increasing the stresses crops experience (Nagajyoti, Lee & Sreekanth 2010), 476 together with a rapidly changing climate (Challinor et al. 2009).”
Increased crop failure due to climate change: assessing adaptation options using models and socio-economic data for wheat in China (2010, background): “emerging whereby socio-economic factors can be included in crop-climate models, thus permitting an estimate of how current and future socio-economic conditions may affect adaptation [7].”
Implications of regional improvement in global climate models for agricultural impact research (2013, background): “enhanced understanding of the impact of climate uncertainties on impact estimates [26, 33], (2) improved quantification of agricultural model uncertainty, (3) a more systematic focus on the assessment of sensitivity of impact models to climate model errors [40], (4) a better quantification of downsc”
Transitions in agro-pastoralist systems of East Africa: Impacts on food security and poverty (2013, background): “Climate change may affect the regional distribution of hun- ry people, and particularly large negative effects are expected in any parts of sub-Saharan Africa (SSA) because of the projected eclines in agricultural production that affect both food availability This is an open-access article distribut”
Adaptation of agricultural and food systems to climate change: an economic and policy perspective. (2010, background): “More detailed crop simulation models also exhibit such thresholds (Hansen and Jones 2000; Antle and Stoorvogel 2006; Challinor et al. 2009).”
Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change (2017, neutral): “…way models simulate processes such as development, assimilation, partitioning and water and nutrient uptake can be traced back to the purposes for which models were originally developed, their region of origin and the scale of their application (Challinor et al., 2009; van Ittersum et al., 2003).”