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A meta-analysis of crop yield under climate change and adaptation
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“Climate change simulation studies predict drought and heat events to worsen over the century with the most severe changes expected to occur in the second half of the century.”
From Genetic resources and precise gene editing for targeted improvement of barley abiotic stress tolerance (2023) · cites this paper as Challinor et al., 2014
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Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
Climate Change 2007: Impacts, Adaptation and Vulnerability
Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P., & Hanson, C. (2007) · Centre for Environmental Data Analysis Digital Repository (Centre for Environmental Data Analysis) · doi:10.5281/zenodo.7356334 · Cited by 9,138
Climate Trends and Global Crop Production Since 1980
Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011) · Science · doi:10.1126/science.1204531 · Cited by 4,927
Self-citationThe impacts of climate change on water resources and agriculture in China
Piao, S. L., Ciais, P., Huang, Y., Shen, Z., Peng, S., Li, J., Zhou, L., Liu, H., Ma, Y., Ding, Y., et al. (2010) · Nature · doi:10.1038/nature09364 · Cited by 3,475
Are there social limits to adaptation to climate change?
Adger, W. N., Dessai, S., Goulden, M. C., Hulme, M., Lorenzoni, I., Nelson, D. R., Næss, L. O., Wolf, J., & Wreford, A. (2008) · Climatic Change · doi:10.1007/s10584-008-9520-z · Cited by 2,684
Adapting agriculture to climate change
Howden, M. S., Soussana, J., Tubiello, F. N., Chhetri, N., Dunlop, M., & Meinke, H. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701890104 · Cited by 2,136
Self-citationHansen, J. E., Sato, M., & Ruedy, R. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1205276109 · Cited by 1,533
The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies
Rosenzweig, C. E., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P. J., Antle, J. M., Nelson, G. C., Porter, C. H., Janssen, S. J. C., et al. (2012) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2012.09.011 · Cited by 1,096
Food, fibre and forest products
Easterling, W. E., Aggarwal, P., Batima, P., Brander, K., Lin, E., Howden, M. S., Kirilenko, A., Morton, J. F., Soussana, J., Schmidhuber, J., et al. (2007) · HAL · Cited by 831
Crop and pasture response to climate change
Tubiello, F. N., Soussana, J., & Howden, M. S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701728104 · Cited by 815
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- Lobell, D. B. & Field, C. B. Global scale climate-crop yield relationships and the impacts of recent warming. Environ. Res. Lett. 2, 004000 (2007). · DOI · Paper page
- Howden, S. M. & Crimp, S. in Advances and applications for management and decision making (eds Zerger, A. & Argent, R. M.) 170–176 (Modelling and Simulation Society of Australia and New Zealand, 2005).
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Items 501–600 of 999
Tao, F., Feng, Z., Tang, H., Chen, Y., & Kobayashi, K. (2017) · Atmospheric Environment · doi:10.1016/j.atmosenv.2017.01.032 · Cited by 54
“Climate change has been changing the magnitude and distribution of seasonal temperature and precipitation, as well as their inter-annual variability, directly and indirectly affecting agricultural production worldwide (Lobell et al., 2008; Challinor et al., 2014; Porter et al., 2014).”
BackgroundFeldman, A. B., Leung, H., Baraoidan, M. R., Elmido-Mabilangan, A., Canicosa, I., Quick, W. P., SHEEHY, J. E., & Murchie, E. H. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01883 · Cited by 54
“Genetic gains in the grain yield per hectare of major crops like rice and wheat need to rise faster than the current rate in order to meet the needs of a growing global population and the negative effects of climate change (Ray et al., 2012; Challinor et al., 2014).”
BackgroundFuture Climate Projections in Africa: Where Are We Headed?
Girvetz, E. H., Ramírez-Villegas, J., Claessens, L., Lamanna, C. A., Racines, C. E. N., Nowak, A. C., Thornton, P. K., & Rosenstock, T. S. (2018) · Springer eBooks · doi:10.1007/978-3-319-92798-5_2 · Cited by 54
The value of climate-resilient seeds for smallholder adaptation in sub-Saharan Africa
Cacho, O. J., Moss, J., Thornton, P. K., Herrero, M., Henderson, B., Bodirsky, B. L., Humpenöder, F., Popp, A., & Lipper, L. (2020) · Climatic Change · doi:10.1007/s10584-020-02817-z · Cited by 57
“In the future, losses in aggregate production are projected for wheat, rice, and maize especially in tropical regions for 2 °C of local warming, unless adaptation occurs to offset these losses (Challinor et al. 2014).”
BackgroundSuckall, N., Fraser, E., & Forster, P. (2017) · Climate and Development · doi:10.1080/17565529.2016.1149441 · Cited by 52
“Increased yield variability will also be an issue, with maize, a staple crop in much of SSA, being most affected (Challinor et al., 2014).”
BackgroundClimate Change: Seed Production and Options for Adaptation
Hampton, J. G., Conner, A. J., Boelt, B., Chastain, T. G., & Rolston, P. (2016) · Agriculture · doi:10.3390/agriculture6030033 · Cited by 53
“Some authors [9,10] concluded that the overall impact of climate change on agriculture is expected to be negative, threatening global food security, whereas others (e.”
BackgroundMkonda, M. Y., & He, X. (2017) · Sustainability · doi:10.3390/su9081412 · Cited by 53
“Given that smallholder farming is the most vulnerable livelihood in the area and most of sub-Saharan Africa [2], to reduce this vulnerability, Paavola [5] and Sovacool et al.”
BackgroundInfluentialTaylor, R. A. W., Ryan, S. J., Lippi, C. A., Hall, D. G., Narouei‐Khandan, H. A., Rohr, J. R., & Johnson, L. R. (2019) · Journal of Applied Ecology · doi:10.1111/1365-2664.13455 · Cited by 52
Conserving the Cerrado and Amazon biomes of Brazil protects the soy economy from damaging warming
Flach, R., Abrahão, G. M., Bryant, B. P., Scarabello, M., Soterroni, A. C., Ramos, F. M., Valin, H., Obersteiner, M. H., & Cohn, A. S. (2021) · World Development · doi:10.1016/j.worlddev.2021.105582 · Cited by 63
“These and other drivers of adaptive capacity vary spatially, and they depend on many factors that include local estimated water availability from both surface water and rainfall and access to smallholder farmer insurance (Challinor et al., 2014; Minoli et al., 2019).”
BackgroundSantos‐Villalobos, S. D. L., Díaz-Rodríguez, A. M., Avila-Mascareño, M., Martínez-Vidales, A. D., & Parra-Cota, F. I. (2021) · Diversity · doi:10.3390/d13080337 · Cited by 53
Are we approaching a water ceiling to maize yields in the United States?
DeLucia, E. H., Chen, S., Guan, K., Peng, B., Li, Y., Gomez‐Casanovas, N., Kantola, I. B., Bernacchi, C. J., Huang, Y., Long, S. P., et al. (2019) · Ecosphere · doi:10.1002/ecs2.2773 · Cited by 62
“…the potential to increase maximum yields in the future, as it does not consider the direct effect of heat or drought on maize physiology (Challinor et al. 2014), which will further lower maximum yields and potentially widen the yield gap —a gap that may be widened even further by an…”
BackgroundJuju, D. B., Baffoe, G., Lam, R. D., Karanja, A., Naidoo, M., Ahmed, A., Jarzebski, M. P., Saitô, O., Fukushi, K., Takeuchi, K., et al. (2020) · Science for sustainable societies · doi:10.1007/978-981-15-4458-3_1 · Cited by 59
Tedesco, D., Moreira, B. R. D. A., Júnior, M. R. B., Maeda, M. M., & da Silva, R. P. (2023) · Agricultural Systems · doi:10.1016/j.agsy.2023.103693 · Cited by 52
Lindqvist‐Kreuze, H., Bonierbale, M., Grüneberg, W. J., Mendes, T., Boeck, B. D., & Campos, H. (2023) · Theoretical and Applied Genetics · doi:10.1007/s00122-023-04515-7 · Cited by 52
“…next three to four decades cannot be met through increased production using current crop varieties and farming practices; and the magnitude of impact of climate change on crop yields is expected to be greatest in tropical regions of the global South (Voss-Fels et al. 2019; Challinor et al. 2014.)”
BackgroundEffects of diurnal temperature range and drought on wheat yield in Spain
Hernández‐Barrera, S., Rodríguez‐Puebla, C., & Challinor, A. J. (2016) · Theoretical and Applied Climatology · doi:10.1007/s00704-016-1779-9 · Cited by 56
“The positive effect of precipitation on global wheat yields has been found by different authors (Challinor et al. 2014; Luo and Wen 2015).”
BackgroundInfluentialSelf-citationKhumairoh, U., Lantinga, E. A., Schulte, R. P. O., Suprayogo, D., & Groot, J. C. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-32915-z · Cited by 54
Farming systems and Conservation Agriculture: Technology, structures and agency in Malawi
Jew, E. K. K., Whitfield, S., Dougill, A. J., Mkwambisi, D. D., & Steward, P. (2020) · Land Use Policy · doi:10.1016/j.landusepol.2020.104612 · Cited by 52
Dang, Y., Qin, L., Huang, L., Wang, J., Li, B., & He, H. S. (2022) · Agricultural Water Management · doi:10.1016/j.agwat.2022.107463 · Cited by 52
Crop failure rates in a geoengineered climate: impact of climate change and marine cloud brightening
Parkes, B., Challinor, A. J., & Nicklin, K. J. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/8/084003 · Cited by 51
Self-citationContrasting yield responses of winter and spring wheat to temperature rise in China
He, D., Fang, S., Liang, H., Wang, E., & Wu, D. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abc71a · Cited by 51
“Wheat, as the third-largest crop, has attracted worldwide attention about how its productivity is impacted by climate change (Anderson 2010, Palosuo et al 2011, Challinor et al 2014).”
BackgroundWu, F., Guo, S., Huang, W., Han, Y., Wang, Z., Feng, L., Wang, G., Li, X., Lei, Y., Yang, B., et al. (2023) · Industrial Crops and Products · doi:10.1016/j.indcrop.2023.117167 · Cited by 51
Mohanty, L. K., Singh, N. K., Raj, P., Prakash, A., Tiwari, A. K., Singh, V., & Sachan, P. (2024) · Journal of Experimental Agriculture International · doi:10.9734/jeai/2024/v46i22308 · Cited by 55
Xue, S., Fang, Z., van Riper, C. J., He, W., Li, X., Zhang, F., Wang, T., Cheng, C., Zhou, Q., Huang, Z., et al. (2024) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2024.107845 · Cited by 51
Pugh, T. A. M., Müller, C., Arneth, A., Haverd, V., & Smith, B. (2016) · Journal of Plant Physiology · doi:10.1016/j.jplph.2016.05.001 · Cited by 51
“Land-use dynamics are important to consider, as the effect of increased [CO2] on projections of crop (Rosenzweig et al., 2014; Challinor et al., 2014) and timber (Kirilenko and Sedjo 2007) yields, as well as water availability (Elliott et al., 2014), are likely to affect future land-use patterns…”
BackgroundProtein-rich legume and pseudo-cereal crop suitability under present and future European climates
Manners, R., Varela‐Ortega, C., & van Etten, J. (2019) · European Journal of Agronomy · doi:10.1016/j.eja.2019.125974 · Cited by 50
Multi-locus genome-wide association studies for five yield-related traits in rice
Zhong, H., Liu, S., Sun, T., Kong, W., Deng, X., Peng, Z., & Li, Y. (2021) · BMC Plant Biology · doi:10.1186/s12870-021-03146-8 · Cited by 51
“The growing global population and the deteriorating environment issue new challenges to the breeding of high-yielding crops [2].”
BackgroundLiu, Y., Su, L., Wang, Q.-J., Zhang, J.-H., Shan, Y., & Deng, M.-J. (2020) · Advances in Agronomy · doi:10.1016/bs.agron.2019.07.007 · Cited by 40
Protein kinase and phosphatase control of plant temperature responses
Praat, M., Smet, I. D., & van Zanten, M. (2021) · Journal of Experimental Botany · doi:10.1093/jxb/erab345 · Cited by 50
“Already a 1 °C increase in average global temperature is predicted to lead to major yield losses in staple crops such as wheat, maize, and rice (Battisti and Naylor, 2009; Craufurd and Wheeler, 2009; Challinor et al., 2014; Zhu et al., 2021).”
BackgroundAssessing impact of dry spells on the principal rainfed crops in major dryland regions of India
Bal, S. K., Sandeep, V. M., Kumar, P., Rao, A. V. M. S., Pramod, V. P., Manikandan, N., Rao, C. S., Singh, N. P., & Bhaskar, S. (2021) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2021.108768 · Cited by 50
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
Ahmed, A. A. M., Sharma, E., Jui, S. J. J., Deo, R. C., Nguyen‐Huy, T., & Ali, M. (2022) · Remote Sensing · doi:10.3390/rs14051136 · Cited by 50
Cost-effective adaptations increase rice production while reducing pollution under climate change
Gao, Y., Cui, J., Zhang, X., Hoogenboom, G., Wallach, D., Huang, Y., Reis, S., Lin, T., & Gu, B. (2025) · Nature Food · doi:10.1038/s43016-024-01113-8 · Cited by 54
“Similar results have been reported by other studies 20 .”
Yang, M., Xiao, W., Zhao, Y., Li, X., Huang, Y., Lü, F., Hou, B., & Li, B. (2018) · Sustainability · doi:10.3390/su10020242 · Cited by 50
“The change in the global climate will undoubtedly influence the future freshwater supply and food security by exerting pressure on agriculture and water resources, which presents a significant challenge to society [4].”
BackgroundAmin, A. B., Rathnayake, K. N., Yim, W. C., Garcia, T. M., Wone, B., Cushman, J. C., & Wone, B. W. M. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00129 · Cited by 50
Baldos, U., Hertel, T., & Moore, F. (2019) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaz027 · Cited by 39
Carozzi, M., Martin, R., Klumpp, K., & Massad, R. S. (2022) · Biogeosciences · doi:10.5194/bg-19-3021-2022 · Cited by 50
“The extension of field-scale models to regional scales faces several challenges associated with the representation of the systems under study, which can affect the confidence of the model outputs (Challinor et al., 2014; Folberth et al., 2019).”
BackgroundResultInfluentialTowards smart and sustainable development of modern berry cultivars in Europe
Senger, E., Osorio, S., Olbricht, K., Shaw, P. D., Denoyes-Rothan, B., Davik, J., Predieri, S., Karhu, S., Raubach, S., Lippi, N., et al. (2022) · The Plant Journal · doi:10.1111/tpj.15876 · Cited by 49
“Many climate change projections predict lower food availability, quality and nutritional value in the future (Challinor et al., 2014; Davies & Ribaut, 2017).”
BackgroundAvoiding collapse: Grand challenges for science and society to solve by 2050
Barnosky, A. D., Ehrlich, P. R., & Hadly, E. A. (2016) · Elementa Science of the Anthropocene · doi:10.12952/journal.elementa.000094 · Cited by 56
Xiong, W., Skalský, R., Porter, C., Balkovič, J., Jones, J. W., & Yang, D. (2016) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2016ms000625 · Cited by 42
Paul, P., Dhatt, B. K., Sandhu, J., Hussain, W., Irvin, L., Morota, G., Staswick, P., & Walia, H. (2020) · Plant Direct · doi:10.1002/pld3.196 · Cited by 48
“The global mean temperature rise over the last century has negatively influenced crop yields (Battisti & Science, 2009; Challinor et al., 2014; Gourdji, Sibley, & Lobell, 2013; Lobell et al., 2011; Zhao et al., 2017).”
BackgroundRain-Fed Rice Yield Fluctuation to Climatic Anomalies in Bangladesh
Ghose, B., Islam, A. R. M. T., Islam, H. M. T., Hasanuzzaman, M., Huang, J., Hu, Z., Moniruzzaman, M., Gustave, W., Karim, M., & Ibrahim, S. M. (2021) · International Journal of Plant Production · doi:10.1007/s42106-021-00131-x · Cited by 49
How Does Climate Change Alter Agricultural Strategies to Support Food Security?Preprint
Thornton, P. K., & Lipper, L. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2423763 · Cited by 49
Forecasting future crop suitability with microclimate data
Gardner, A. S., Maclean, I. M. D., Gaston, K. J., & Bütikofer, L. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103084 · Cited by 51
The Impacts of Warming Temperatures on US Sorghum Yields and the Potential for Adaptation
Miller, N., Tack, J., & Bergtold, J. S. (2021) · American Journal of Agricultural Economics · doi:10.1111/ajae.12223 · Cited by 48
“Individual and meta-analysis studies of corn, soybean, wheat, and rice production show that warming will produce overall aggregate negative effects on yields for all four crops, and that these estimates are robust to alterations in model specification (Miao et al. 2016; Tack et al. 2015; Challinor et al. 2014; Lobell…”
Genetic approaches to enhance multiple stress tolerance in maize
Malenica, N., Dunić, J. A., Vukadinović, L., Cesar, V., & Šimić, D. (2021) · Genes · doi:10.3390/genes12111760 · Cited by 48
Climate change impedes plant immunity mechanisms
Son, S., & Park, S. R. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1032820 · Cited by 48
“The crops that have made human settlement possible since the dawn of agriculture by providing a stable source of dietary calories are now suffering from the effects of climate change (Challinor et al., 2014; Rising and Devineni, 2020).”
BackgroundA method review of the climate change impact on crop yield
Feng, X.-Y., Tian, H., Cong, J., & Zhao, C. (2023) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2023.1198186 · Cited by 48
“Without adaptation measures, global yields of important food crops could decline by 12–20% by the end of this century (Lobell and Gourdji, 2012; Wheeler and Von Braun, 2013; Challinor et al., 2014; Aggarwal et al., 2019).”
BackgroundCrop rotational diversity can mitigate climate‐induced grain yield losses
Costa, A., Bommarco, R., Smith, M. E., Bowles, T. M., Gaudin, A. C. M., Watson, C. A., Alarcón, R., Berti, A., Blecharczyk, A., Calderón, F. J., et al. (2024) · Global Change Biology · doi:10.1111/gcb.17298 · Cited by 48
“There is an urgent need to adapt our cropping systems to reduce yield losses due to climate change (Challinor et al., 2014; Khanal et al., 2021).”
BackgroundAdaptation pathways of global wheat production: Importance of strategic adaptation to climate change
Tanaka, A., Takahashi, K., Masutomi, Y., Hanasaki, N., Hijioka, Y., Shiogama, H., & Yamanaka, Y. (2015) · Scientific Reports · doi:10.1038/srep14312 · Cited by 49
Parkes, B., Defrance, D., Sultan, B., Ciais, P., & Wang, X. (2018) · Earth System Dynamics · doi:10.5194/esd-9-119-2018 · Cited by 55
Liu, D. L., O’Leary, G. J., Christy, B., Macadam, I., Wang, B., Anwar, M. R., & Weeks, A. (2017) · Climatic Change · doi:10.1007/s10584-017-2054-5 · Cited by 48
“Integrating this data into biophysical simulation models allows the exploration of specific farming productivity scenarios with climate change projections, to help design adaptation measures and guide policy making (Challinor et al. 2014).”
BackgroundClimate Change Impacts on Yields and Soil Carbon in Row Crop Dryland Agriculture
Robertson, A. D., Zhang, Y., Sherrod, L. A., Rosenzweig, S. T., Ma, L., Ahuja, L. R., & Schipanski, M. E. (2017) · Journal of Environmental Quality · doi:10.2134/jeq2017.08.0309 · Cited by 48
Integrate Risk From Climate Change in China Under Global Warming of 1.5 and 2.0 °C.
Wu, S., Liu, L., Gao, J., & Wang, W. (2019) · Earth s Future · doi:10.1029/2019ef001194 · Cited by 48
“, 2014) and climate change risk assessments of natural ecosystems and food production (Challinor et al., 2014; Gao et al., 2017; Urban, 2015).”
BackgroundGeographical patterns in climate and agricultural technology drive soybean productivity in Brazil
Caetano, J. M., Tessarolo, G., de Oliveira, G. H., Souza, K. D. S. E., Diniz‐Filho, J. A. F., & Nabout, J. C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191273 · Cited by 48
Perennial biomass crops on marginal land improve both regional climate and agricultural productivity
He, Y., Jaiswal, D., Liang, X., Sun, C., & Long, S. P. (2022) · GCB Bioenergy · doi:10.1111/gcbb.12937 · Cited by 52
“…temperatures and water vapor pressure deficits (VPD) are projected in the Midwest and are predicted to significantly lower food and feed crop yields due to water stress and supra- optimal temperature inhibition of leaf photosynthesis (Challinor et al., 2014; Lobell et al., 2014; Ort & Long, 2014).”
BackgroundFaye, B., Webber, H. A., Gaiser, T., Müller, C., Zhang, Y., Stella, T., Latka, C., Reckling, M., Heckelei, T., Helming, K., et al. (2022) · European Journal of Agronomy · doi:10.1016/j.eja.2022.126670 · Cited by 54
“Challinor et al. (2014) reported that adaptation strategies will be more effective for wheat than maize, an assertion supported by the study Webber et al. (2018).”
Tudi, M., Yang, L., Wang, L., Lv, J., Gu, L., Li, H., Peng, W., Yu, Q., Ruan, H. D., Li, Q., et al. (2023) · Agriculture · doi:10.3390/agriculture13091683 · Cited by 47
“(2) Climate change, including increased temperature, precipitation, and carbon dioxide content, can alter the geographical distribution and productivity [149,150].”
BackgroundImpacts of future climate change on rice yield based on crop model simulation—A meta-analysis
Li, N., Zhao, Y., Han, J., Yang, Q., Liang, J., Liu, X., Wang, Y., & Huang, Z. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.175038 · Cited by 47
Dzvene, A. R., Zhou, L., Slayi, M., & Dirwai, T. L. (2025) · Discover Sustainability · doi:10.1007/s43621-025-00945-z · Cited by 58
“India’s high output, for instance, aligns with its wide agricultural diversity and pressing need to adapt to climate variability to sustain food security across various agro-ecological zones [53].”
Konefal, J. (2015) · Sustainability · doi:10.3390/su7010612 · Cited by 47
“On the other hand, changes in climate conditions threaten the continued sustainability of agriculture globally [16].”
Pinto, R. S., Molero, G., & Reynolds, M. P. (2017) · Euphytica · doi:10.1007/s10681-017-1858-8 · Cited by 47
“Predictions of further global warming in the near future (Challinor et al. 2014) are highlighting the importance of improving the heat tolerance of wheat.”
Pearl Millet Genome: Lessons from a Tough Crop
Debieu, M., Kanfany, G., & Laplaze, L. (2017) · Trends in Plant Science · doi:10.1016/j.tplants.2017.09.006 · Cited by 47
Niles, M. T., & Brown, M. E. (2017) · Scientific Reports · doi:10.1038/s41598-017-16282-9 · Cited by 47
Climate variability and crop yields synergies in Tanzania’s semiarid agroecological zone
Mkonda, M. Y., & He, X. (2018) · Ecosystem Health and Sustainability · doi:10.1080/20964129.2018.1459868 · Cited by 47
“In addition, the findings of the present study are in agreement with those by Mongi, Majule, and Lyimo (2010), Rowhani et al. (2011), Challinor et al. (2014), and Muller and Shackleton (2014), just to mention a few.”
BackgroundResultInfluentialCan N management affect the magnitude of yield loss due to heat waves in wheat and maize?
Slafer, G. A., & Savin, R. (2018) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2018.07.009 · Cited by 48
Palacios, C. J., Grandis, A., Carvalho, V. J., Salatino, A., & Buckeridge, M. S. (2018) · Food Chemistry · doi:10.1016/j.foodchem.2018.09.052 · Cited by 47
Sustainability assessment of biorefinery production chains: A combined LCA-supply chain approach
Khoo, H. H., Eufrasio-Espinosa, R. M., Koh, L., Sharratt, P., & Isoni, V. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.07.007 · Cited by 33
Maize yield loss risk under droughts in observations and crop models in the United States
Leng, G. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abd500 · Cited by 55
“Published by IOP Publishing Ltd Hawkins et al 2013, Iizumi et al 2013, Challinor et al 2014, Ray et al 2015, Zhao et al 2017, Schauberger et al 2017).”
Crop and income diversification for rural adaptation: Insights from Ugandan panel data
Antonelli, C., Coromaldi, M., & Pallante, G. (2022) · Ecological Economics · doi:10.1016/j.ecolecon.2022.107390 · Cited by 46
Wen, P., Wei, Q., Zheng, L., Rui, Z., Niu, M., Gao, C., Guan, X., Wang, T., & Xiong, S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165906 · Cited by 46
Makowski, D., Asseng, S., Ewert, F., Bassu, S., Durand, J., Li, T., Martre, P., Adam, M., Aggarwal, P., Angulo, C., et al. (2015) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2015.09.013 · Cited by 43
“In these simulation experiments, the results varied not only due to different locations, crop management and climate data, but also due to the use and parameterization of different individual crop models (Wilcox and Makowski, 2014; Challinor et al., 2014).”
Self-citationMa, J., & Maystadt, J.-F. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.12.006 · Cited by 49
Meng, Q., Wang, H., Yan, P., Pan, J., Lu, D., Cui, Z., Zhang, F. S., & Chen, X. (2017) · Scientific Reports · doi:10.1038/srep41587 · Cited by 46
Climate Impacts on Agriculture: Insights from Agronomic-Economic Analysis
Antle, J. M., & Stöckle, C. O. (2017) · Review of Environmental Economics and Policy · doi:10.1093/reep/rex012 · Cited by 46
Dixit, P. N., Tellería, R., Al-Khatib, A., & Allouzi, S. F. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.07.270 · Cited by 51
“Indeed, the most widely used tools available for estimating future crop yield responses to climate change are process-based crop models, and these are already applied extensively in different parts of the world (Challinor et al., 2014; Grossman-Clarke et al., 2001; Ortiz et al., 2008; Pirttioja et al., 2015; Rosenzwei…”
BackgroundMethodLandi, S., Capasso, G., Azaiez, F. E. B., Jallouli, S., Ayadi, S., Trifa, Y., & Esposito, S. (2019) · Plants · doi:10.3390/plants8080248 · Cited by 46
“Therefore, the breeding research focus is moved to minimizing the gap between yields under optimal and stress conditions [25,30], contributing to the adaptation on, and contrast to, climate change [31].”
BackgroundEnvironmental assessment of the valorisation and recycling of selected food production side flows
Scherhaufer, S., Davis, J., Metcalfe, P., Gollnow, S., Colin, F., Menna, F. D., Vittuari, M., & Östergren, K. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.104921 · Cited by 49
Estimating Global Impacts to Agriculture from Climate Change Accounting for AdaptationPreprint
Hultgren, A., Carleton, T. A., Delgado, M., Gergel, D. R., Greenstone, M., Houser, T., Hsiang, S., Jina, A., Kopp, R. E., Malevich, S. B., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4222020 · Cited by 46
Alam, M. J., Sarma, P. K., Begum, I. A., Connor, J., Crase, L., Sayem, S. M., & McKenzie, A. M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e34226 · Cited by 45
“…use risk management strategies to cope with unexpected natural and market risks and mitigate potential negative effects of changing environmental conditions [29,30] risk avoidance usually involves developing an alternative strategy with a higher probability of success but usually at a higher cost.”
BackgroundMao, H., Sun, Z., Chai, A., Fang, L., & Shi, C. (2024) · Ecological Economics · doi:10.1016/j.ecolecon.2024.108456 · Cited by 50
Climate change is projected to outpace rates of niche change in grasses
Cang, F. A., Wilson, A. A., & Wiens, J. J. (2016) · Biology Letters · doi:10.1098/rsbl.2016.0368 · Cited by 45
Yield variation of double-rice in response to climate change in Southern China
Liu, S., Pu, C., Ren, Y., Xiu-ling, Z., Zhao, X., Chen, F., Xiao, X., & Zhang, H. (2016) · European Journal of Agronomy · doi:10.1016/j.eja.2016.09.014 · Cited by 45
A Qualitative Evaluation of CSA Options in Mixed Crop-Livestock Systems in Developing Countries
Thornton, P. K., Rosenstock, T. S., Förch, W., Lamanna, C. A., Bell, P., Henderson, B., & Herrero, M. (2017) · Natural resource management and policy · doi:10.1007/978-3-319-61194-5_17 · Cited by 45
“Adaptation strategies such as improved varieties may reduce projected yield losses under climate change, particularly among rice and wheat in the tropics (Challinor et al. 2014).”
BackgroundCrop modelling: towards locally relevant and climate-informed adaptation
Beveridge, L., Whitfield, S., & Challinor, A. J. (2018) · Climatic Change · doi:10.1007/s10584-018-2160-z · Cited by 47
“A database of over 1700 simulations, from 91 studies, as described in Challinor et al. (2014) and IPCC (2014) was used as an initial source of studies.”
MethodSelf-citationTian, Z., Ji, Y., Sun, L., Xu, X., Fan, D., Zhong, H., Liang, Z., & Ficsher, G. (2018) · Journal of Geographical Sciences · doi:10.1007/s11442-018-1538-1 · Cited by 47
“Crop simulation models are useful tools in climate impact studies as they can integrate the soil-plant-atmosphere continuum and trace how multiple climate factors interact with crop growth and yield processed (Challinor et al., 2014).”
Irrigation-limited yield gaps: trends and variability in the United States post-1950
Kukal, M. S., & Irmak, S. (2019) · Environmental Research Communications · doi:10.1088/2515-7620/ab2aee · Cited by 45
Heating quinoa shoots results in yield loss by inhibiting fruit production and delaying maturity
Tovar, J. C., Quillatupa, C., Callen, S. T., Castillo, S. E., Pearson, P., Shamin, A., Schuhl, H., Fahlgren, N., & Gehan, M. A. (2020) · The Plant Journal · doi:10.1111/tpj.14699 · Cited by 45
Manure amendment can reduce rice yield loss under extreme temperatures
Zhu, X.-C., Chen, J., Huang, S., Li, W.-W., Peñuelas, J., Chen, J., Zhou, F., Zhang, W.-J., Li, G.-H., Liu, Z., et al. (2022) · Communications Earth & Environment · doi:10.1038/s43247-022-00481-y · Cited by 42
Uncovering hidden genetic variation in photosynthesis of field‐grown maize under ozone pollution
Choquette, N. E., Ogut, F., Wertin, T. M., Montes, C. M., Sorgini, C. A., Morse, A. M., Brown, P. J., Leakey, A. D. B., McIntyre, L. M., & Ainsworth, E. A. (2019) · Global Change Biology · doi:10.1111/gcb.14794 · Cited by 41
“Developing crops that can be more productive under stressful growing conditions is a high priority for agriculture today, and will be increasingly necessary if we are to avoid production losses to climate change (Challinor et al., 2014; Lesk, Rowhani, & Ramankutty, 2016; Lobell et al., 2014).”
BackgroundLi, R.-C., Tian, Y., Wang, F., Sun, Y.-F., Lin, B., Dang, Y. P., Zhao, X., Zhang, H., & Xu, Z. (2024) · Sustainable Production and Consumption · doi:10.1016/j.spc.2024.03.026 · Cited by 44
Sensitivity of global major crop yields to climate variables: A non-parametric elasticity analysis
Liu, D., Mishra, A. K., & Ray, D. K. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141431 · Cited by 44
Cereal species mixtures: an ancient practice with potential for climate resilience. A review
McAlvay, A. C., DiPaola, A., D’Andrea, A. C., Ruelle, M., Mosulishvili, M., Halstead, P., & Power, A. G. (2022) · Agronomy for Sustainable Development · doi:10.1007/s13593-022-00832-1 · Cited by 49
“Wheat, barley, and other small grains are anticipated to face severe yield losses under even conservative climate change scenarios without farmers adapting their practices (Challinor et al. 2014; Wang et al. 2018; Leng and Hall 2019).”
BackgroundNiero, M., Ingvordsen, C., Jørgensen, R., & Hauschild, M. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.05.061 · Cited by 45
“The absence of such studies limits the assessment of the effects of adaptation solutions (Challinor et al., 2014), since more extreme events are expected to be a condition for crop cultivation in the future (IPCC, 2013).”
BackgroundSingle-gene resolution of locally adaptive genetic variation in Mexican maizePreprint
Gates, D. J., Runcie, D. E., Janzen, G. M., Navarro, A. R., Willcox, M. C., Sonder, K., Snodgrass, S. J., Rodríguez-Zapata, F., Sawers, R. J. H., Rellán‐Álvarez, R., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/706739 · Cited by 42
“[4] Challinor, A.”
Conservation agriculture for food security and climate resilience in Nepal
Joshi, D. R., Ghimire, R., Kharel, T. P., Mishra, U., & Clay, S. A. (2021) · Agronomy Journal · doi:10.1002/agj2.20830 · Cited by 43
“Studies find higher microbial biomass with residue retention than with removal (Palm et al., 2014), with no-tillage rather than conventional tillage, and with crop rotation compared to monocropping (Clay et al., 2014).”
BackgroundMethodZhou, J., Zhang, X., Qu, Z., Zhang, C., Wang, F., Gao, T., Yao, Y., & Liang, J. (2024) · Agriculture · doi:10.3390/agriculture14071108 · Cited by 43
Climate change in Lagos state, Nigeria: what really changed?
Sojobi, A. O., Balogun, I., & Salami, A. W. (2016) · Environmental Monitoring and Assessment · doi:10.1007/s10661-016-5549-z · Cited by 47
Climate Change Impacts on Corn Phenology and Productivity
Hatfield, J., & Dold, C. (2018) · Corn - Production and Human Health in Changing Climate · doi:10.5772/intechopen.76933 · Cited by 30
“[27] could be used to quantify the impact of adaptation practices.”
BackgroundInfluentialClimate impacts on long-term silage maize yield in Germany
Peichl, M., Thober, S., Samaniego, L., Hansjürgens, B., & Marx, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-44126-1 · Cited by 43
Impact of cropland displacement on the potential crop production in China: a multi-scale analysis
Yang, B., Ke, X., van Vliet, J., Yu, Q., Zhou, T., & Verburg, P. H. (2020) · Regional Environmental Change · doi:10.1007/s10113-020-01690-x · Cited by 43
“This is generally considered to have a negative impact on potential crop production, globally (Challinor et al. 2014; Rosenzweig et al. 2014).”
BackgroundAdam, M., MacCarthy, D. S., Traoré, P., Nenkam, A. M., Freduah, B. S., Ly, M. A., & Adiku, S. G. K. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2020.102920 · Cited by 44
Metadata
- Authors
- Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., & Chhetri, N.
- Affiliations
- CGIAR (FR)
- University of Leeds (GB)
- Stanford University (US)
- Arizona State University (US)
- Corresponding author
- Challinor, A. J.
- Venue
- Nature Climate Change
- Published
- 2014-03-16
- Volume
- 4
- Issue
- 4
- Pages
- 287-291
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2069466983
- Cited by
- 2,333
- References
- 36
- Citations by year
- 2026: 244 · 2025: 247 · 2024: 240 · 2023: 224 · 2022: 228 · 2021: 264 · 2020: 222 · 2019: 174 · 2018: 160 · 2017: 137 · 2016: 87 · 2015: 75 · 2014: 27
- FWCI
- 15.07
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Natural Environment Research Council (NE/H003525/1)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Keywords
- climate change impacts on agriculture, crop yield, climate change adaptation, wheat, rice, maize, warming, food security, yield variability, interannual variability
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