[ad_1]
Rosenzweig, C. et al. Assessing agricultural risks of climate change in the 21st century in a global intercomparison of mesh crop models. Proc. Natl Acad. Sci. United States 111, 3268-3273 (2014).
Google Scholar
Auffhammer, M. & Schlenker, W. Empirical studies on agricultural impacts and adaptation. Energy saving. 46, 555-561 (2014).
Google Scholar
Mondal, P. et al. Sensitivity of winter crops to interannual climatic variability in central India. Climate change 126, 61-76 (2014).
Google Scholar
Mondal, P., Jain, M., DeFries, RS, Galford, GL & Small, C. Sensitivity of vegetation cover to climate variability: an overview of two Indian agroecoregions. J. Approx. Manage. 148, 21-30 (2015).
Google Scholar
Seifert, CA & Lobell, DB Dual Crop Adequacy Response to Climate Change in the United States. About. Res. Lett. ten, 024002 (2015).
Google Scholar
Waha, K. et al. Adaptation to climate change by the choice of the cropping system and the sowing date in sub-Saharan Africa. Glob. About. Switch 23, 130-143 (2013).
Google Scholar
Koide, N. et al. Predicting rice production in the Philippines using seasonal climate forecasts. J. Appl. Meteorol. Climatol. 52, 552-569 (2013).
Google Scholar
Naylor, RL, Falcon, WP, Rochberg, D. & Wada, N. Using El Niño / Southern Oscillation climate data to predict rice production in Indonesia. Climate change 50, 255-265 (2001).
Google Scholar
Sakamoto, T., Van Nguyen, N., Ohno, H., Ishitsuka, N. & Yokozawa, M. Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with particular reference to flow seasonal water from the Mekong and Bassac rivers. Remote sensing Approx. 100, 1-16 (2006).
Google Scholar
Iizumi, T. & Ramankutty, N. How does weather and climate influence the area and intensity of crops? Glob. Food Safety. 4, 46-50 (2015).
Google Scholar
Schlenker, W. & Roberts, MJ Nonlinear temperature effects indicate severe damage to US crop yields due to climate change. Proc. Natl Acad. Sci. United States 106, 15594-15598 (2009).
Google Scholar
Lobell, DB, Schlenker, W. & Costa-Roberts, J. Climate trends and world agricultural production since 1980. Science 333, 616-620 (2011).
Google Scholar
Urban, DW, Roberts, MJ, Schlenker, W. & Lobell, DB The effects of extremely wet planting conditions on corn and soybean yields. Climate change 130, 247-260 (2015).
Google Scholar
Ray, DK, Gerber, JS, MacDonald, GK & West, PC Climate variation explains one-third of the global variability in crop yields. Common Nature. 6, 1–9 (2015).
Google Scholar
Iizumi, T. et al. Impacts of the El Niño Southern Oscillation on global yields of major crops. Common Nature. 5, 3712 (2014).
Google Scholar
Gourdji, SM, Sibley, AM & Lobell, DB Global exposure of crops to high critical temperatures during the breeding season: historical trends and future projections. About. Res. Lett. 8, 024041 (2013).
Google Scholar
Mendelsohn, R., Nordhaus, WD & Shaw, D. The impact of global warming on agriculture: a Ricardian analysis. A m. Econ. Tower. 104, 753-771 (1994).
Google Scholar
Ray, DK & Foley, JA Increasing Frequency of Global Harvests: Recent Trends and Future Directions. About. Res. Lett. 8, 044041 (2013).
Google Scholar
Municipality Agricultural Data Report (PAM) (Brazilian Institute of Geography and Statistics, 2013); http://www.sidra.ibge.gov.br/bda/acervo/acervo2.asp
Spera, S. et al. The frequency of cultivation, recent expansion and abandonment in Mato Grosso, Brazil, exhibited selective land characteristics. About. Res. Lett. 9, 064010 (2014).
Google Scholar
Kummerow, C., Barnes, W., Kozu, T., Shiue, J. & Simpson, J. The Tropical Precipitation Measurement Mission (TRMM) Sensor Package. J. Atmos. Ocean. Technol. 15, 809-817 (1998).
Google Scholar
Willmott, C. & Matsuura, K. Terrestrial Air Temperature and Precipitation: Monthly and Annual Time Series (1950-1999) Version 1.02 (Center for Climatic Research, Univ. Delaware, 2001).
Google Scholar
de Carvalho, JRP, Assad, ED, de Oliveira, AF & da Silveira Pinto, H. Maximum annual trends in daily precipitation in the Midwest, Southeast and South of Brazil over the past 71 years. Weather. Clim. Extreme 5-6, 7-15 (2014).
Google Scholar
Girvetz, EH et al. Applied analysis of climate change: the climate assistant tool. PLoS A 4, e8320 (2009).
Google Scholar
Sakurai, G., Iizumi, T. & Yokozawa, M. Variable temporal and spatial effects of climate on corn and soybeans affect yield prediction. Clim. Res. 49, 143-154 (2012).
Google Scholar
Gusso, A., Ducati, JR, Veronez, MR, Sommer, V. & da Silveira, LG Jr Monitoring of heat waves and their impacts on the development of summer crops in southern Brazil. Agric. Sci. 5, 353-364 (2014).
Google Scholar
Richards, P., Pellegrina, H., VanWey, L. & Spera, S. Soybean development: the impact of a decade of agricultural change on urban and economic growth in Mato Grosso, Brazil. PLoS A ten, e0122510 (2015).
Google Scholar
Oliveira, LJ, Costa, MH, Soares-Filho, BS & Coe, MT Large-scale expansion of agriculture in the Amazon can be a dead end scenario. About. Res. Lett. 8, 024021 (2013).
Google Scholar
New, M., Lister, D., Hulme, M. & Makin, I. A high-resolution surface climate data set over global land areas. Clim. Res. 21, 1–25 (2002).
Google Scholar
Kalnay, E. et al. The 40-year NCEP / NCAR reanalysis project. Taurus. A m. Meteorol. Soc. 77, 437-471 (1996).
Google Scholar
Cohn, A. et al. Replication data for: frequency of crops and area response to climate variability may exceed yield response (Harvard Dataverse, 2015).
Google Scholar
[ad_2]
