Cited by 2,333Climate change impacts on agricultureClimate variability and modelsClimate Change and Health Impacts

The DOI matches its Crossref record; 35 of the 36 references it cites were found in a registry or an index.

A meta-analysis of crop yield under climate change and adaptation

Open access

Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., Chhetri, N.·2014·Nature Climate Change

DOI 10.1038/nclimate2153

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1038/nclimate2153

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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-citation
The 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-citation
Perception of climate change
Hansen, 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

Flagged first, then by citations

Show all 36 references

1 of the 36 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

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).

Sorted by citations

Items 901–999 of 999

Efficient Breeding of Pulse Crops
Kumar, S., Gupta, P., Choukri, H., & Siddique, K. H. M. (2020) · Springer eBooks · doi:10.1007/978-3-030-47306-8_1 · Cited by 22
Interactive effect of elevated tropospheric ozone and carbon dioxide on radiation utilisation, growth and yield of chickpea (Cicer arietinum L.)
SINGH, R. N., Mukherjee, J., Sehgal, V. K., Krishnan, P., Das, D. K., Dhakar, R. K., & Bhatia, A. (2021) · International Journal of Biometeorology · doi:10.1007/s00484-021-02150-9 · Cited by 22
“Similar results were also reported by Yadav et al. (2019), Bhatia et al. (2021), Challinor et al. (2014), Kimball (2016), McGrath et al. (2015) and Dermody et al. (2006).”
Result
Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example
Zhu, J., Parker, A. K., Gou, F., Agnew, R. H., Yang, L., Greven, M., Raw, V., Neal, S. M., Martin, D., Trought, M. C. T., et al. (2021) · in silico Plants · doi:10.1093/insilicoplants/diab021 · Cited by 23
Multi-site, multi-crop measurements in the soil–vegetation–atmosphere continuum: a comprehensive dataset from two climatically contrasting regions in southwestern Germany for the period 2009–2018
Weber, T. K. D., Ingwersen, J., Högy, P., Poyda, A., Wizemann, H., Demyan, M. S., Bohm, K., Eshonkulov, R., Gayler, S., Kremer, P., et al. (2022) · Earth system science data · doi:10.5194/essd-14-1153-2022 · Cited by 22
Cropping Systems and Climate Change in Humid Subtropical Environments
Hernández-Ochoa, I. M., & Asseng, S. (2018) · Agronomy · doi:10.3390/agronomy8020019 · Cited by 22
“The response of crop production to adaptation is also affected by model uncertainty, and this may incorrectly estimate its impact, limiting the exploration of adaptation alternatives [81].”
Background
Mapping Discourses of Climate Change Adaptation in the United Kingdom
Cotton, M., & Stevens, E. (2018) · Weather Climate and Society · doi:10.1175/wcas-d-18-0024.1 · Cited by 22
Climate Warming Trends in the U.S. Midwest Using Four Thermal Models
Abendroth, L., Miguez, F. E., Castellano, M. J., & Hatfield, J. L. (2019) · Agronomy Journal · doi:10.2134/agronj2019.02.0118 · Cited by 22
“Operations such as no-tillage or irrigation can reduce local temperatures by up to 2°C particularly in high temperature events because of the albedo effect (Lobell et al., 2006; Davin et al., 2014).”
Background
Mitigation of the Adverse Effects of the El Niño (El Niño, La Niña) Southern Oscillation (ENSO) Phenomenon and the Most Important Diseases in Avocado cv. Hass Crops
Ramírez‐Gil, J. G., Henao‐Rojas, J. C., & Osorio, J. G. M. (2020) · Plants · doi:10.3390/plants9060790 · Cited by 22
“The potential impacts of this phenomenon can be more visible in tropical regions [4,5].”
Background
Artificial light and biological responses of broiler chickens: dose-response2
Yang, Y., Pan, C., Zhong, R., & Pan, J. (2018) · Journal of Animal Science · doi:10.1093/jas/skx044 · Cited by 22
“Increasing evidence in agricultural production (Challinor et al., 2014; Pittelkow et al., 2015) and animal production 1This work was supported by the National Natural Science Foundation of China (grant number 31572449).”
Background
Novel exotic alleles of EARLY FLOWERING 3 determine plant development in barley
Zahn, T., Zhu, Z., Ritoff, N., Krapf, J., Junker, A., Altmann, T., Schmutzer, T., Tüting, C., Kastritis, P. L., Babben, S., et al. (2023) · Journal of Experimental Botany · doi:10.1093/jxb/erad127 · Cited by 23
“More precisely, a meta-analysis of crop yield under climate change and adaptation based on 1,700 studies even predicted that cultivar adaptation would be the most promising way to increase yield under the predicted climate change (Challinor et al., 2014).”
Background
CropSow: An integrative remotely sensed crop modeling framework for field-level crop planting date estimation
Liu, Y., Diao, C., & Yang, Z. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.06.012 · Cited by 22
Spatial Simulation and Optimization of Cropping Structure Under Climate and Land Use Change Conditions Considering Synergistic Economic Benefits and Carbon Reduction in Crop Growth Processes
Li, M., Li, H., Zhou, Z., Chen, Y., Wang, Y., Li, T., & Fu, Q. (2024) · Earth s Future · doi:10.1029/2024ef004684 · Cited by 21
“In addition, a study in the United States showed that optimizing cropping structures under future climate conditions will not only increase crop yields but also reduce agricultural losses by half and save large amounts of agricultural water (Challinor et al., 2014).”
Soil-smart cropping for climate-smart production
Luo, Z., Zhang, S., Zhao, Z., Minasny, B., Chang, J., Huang, J., Li, B., Shi, Z., Wang, E., Wang, M., et al. (2024) · Geoderma · doi:10.1016/j.geoderma.2024.117061 · Cited by 22
The challenge of chilling injury amid shifting maize planting boundaries: A case study of Northeast China
Guga, S., Bole, Y., Riao, D., Sudu, B., Wei, S., Li, K., Zhang, J., Tong, Z., & Liu, X. (2024) · Agricultural Systems · doi:10.1016/j.agsy.2024.104166 · Cited by 21
Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model
Watson, J., Challinor, A. J., Fricker, T. E., & Ferro, C. A. T. (2014) · Climatic Change · doi:10.1007/s10584-014-1264-3 · Cited by 23
“The projected response of crops to climate variability and change can vary significantly according to the methodology chosen (Challinor et al. 2014).”
BackgroundSelf-citation
Adaptation strategies to climate change using cotton ( Gossypium hirsutum L.) ideotypes in rainfed tropical cropping systems in Sub-Saharan Africa. A modeling approach
Gérardeaux, E., Loison, R., Palaï, O., & Sultan, B. (2018) · Field Crops Research · doi:10.1016/j.fcr.2018.07.007 · Cited by 21
Assessing climate change impacts on crops by adopting a set of crop performance indicators
Moriondo, M., Bindi, M., Brilli, L., Costafreda-Aumedes, S., Dibari, C., Leolini, L., Padovan, G., Trombi, G., Karali, A., Varotsos, K. V., et al. (2021) · Euro-Mediterranean Journal for Environmental Integration · doi:10.1007/s41207-021-00246-7 · Cited by 21
Assessing and reducing the environmental impact of dairy production systems in the northern US in a changing climate
Veltman, K., Rotz, C. A., Chase, L. E., Cooper, J. S., Forest, C. E., Ingraham, P., Izaurralde, R. C., Jones, C. D., Nicholas, R. E., Ruark, M. D., et al. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103170 · Cited by 21
A generic risk assessment framework to evaluate historical and future climate-induced risk for rainfed corn and soybean yield in the U.S. Midwest
Zhou, W. M., Guan, K., Peng, B., Wang, Z., Fu, R., Li, B., Ainsworth, E. A., DeLucia, E. H., Zhao, L., & Chen, Z. (2021) · Weather and Climate Extremes · doi:10.1016/j.wace.2021.100369 · Cited by 20
Interactions of genotype, environment and management on wheat traits and grain yield variations in different climate zones across China
Li, Y., & Tao, F. (2022) · Agricultural Systems · doi:10.1016/j.agsy.2022.103521 · Cited by 21
HEAT-RESPONSIVE PROTEIN regulates heat stress via fine-tuning ethylene/auxin signaling pathways in cotton
Abdullah, M., Ahmad, F., Zang, Y., Jin, S., Ahmed, S., Li, J., Islam, F., Ahmad, M., Zhang, Y., Hu, Y., et al. (2022) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiac511 · Cited by 21
Assessment of water stress in rainfed maize using RGB and thermal imagery
Rajwade, Y. A., Chandel, N. S., Dubey, K., Subeesh, A., Upender, K., & Jat, D. (2023) · Arabian Journal of Geosciences · doi:10.1007/s12517-023-11198-3 · Cited by 21
A brief review of the coupled human-Earth system modeling: Current state and challenges
Tan, J., Duan, Q., Xiao, C., He, C., & Yan, X. (2023) · The Anthropocene Review · doi:10.1177/20530196221149121 · Cited by 24
“For example, spatial and temporal changes in precipitation and temperature have major impacts on crop productivity which threaten food availability at global and regional levels (Challinor et al., 2014; Knox et al., 2012; Rosenzweig et al., 2014; Wheeler and von Braun, 2013).”
Background
Agro-climatic sensitivity analysis for sustainable crop diversification; the case of Proso millet (Panicum miliaceum L.)
Wimalasiri, E. M., Ashfold, M. J., Jahanshiri, E., Walker, S., Azam‐Ali, S., & Karunaratne, A. S. (2023) · PLoS ONE · doi:10.1371/journal.pone.0283298 · Cited by 21
“Various adaptation strategies are developed to avoid yield losses due to climate change [9] and developing resilient agricultural systems is a low-cost and effective strategy to overcome the increased risk of droughts and other climatic hazards [10].”
Background
Does target country's climate risk matter in cross-border M&A? The evidence in the presence of geopolitical risk
Li, H., Liu, Y., & Xu, B. L. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.118439 · Cited by 23
“While some industries rely less on fixed assets, they could still be vulnerable to climate risk due to their dependence on certain natural resources or conditions (Challinor et al., 2014).”
Background
Place for sociohydrology in sustainable and climate-resilient agriculture: Review and ways forward
Adla, S., Pande, S., Vico, G., Vora, S., Alam, M. F., Basel, B., Haeffner, M., & Sivapalan, M. (2023) · Cambridge Prisms Water · doi:10.1017/wat.2023.16 · Cited by 22
“Together, these changes are projected to reduce average crop yields (e.g., Hasegawa et al., 2022) and their year-to-year stability (Challinor et al., 2014).”
Background
Climate Change and Food Safety
Herrera, M., Anadón, R., Iqbal, S. Z., Bailly, J., & Ariño, A. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-39253-0_8 · Cited by 21
Interactive effects of elevated CO2, temperature and extreme weather events on soil nitrogen and cotton productivity indicate increased variability of cotton production under future climate regimes
Osanai, Y., Tissue, D. T., Bange, M., Braunack, M. V., Anderson, I. C., & Singh, B. K. (2017) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2017.06.004 · Cited by 21
Using Imaging Spectrometry to Study Changes in Crop Area in California’s Central Valley during Drought
Shivers, S., Roberts, D. A., McFadden, J. P., & Tague, C. (2018) · Remote Sensing · doi:10.3390/rs10101556 · Cited by 21
“Cropping decisions impact society in multiple ways by altering regional water requirements [18], food yields [16], economic production [19], and pesticide exposure [20].”
Background
Climate change in Lamjung District, Nepal: meteorological evidence, community perceptions, and responses
Joshi, A., Farquhar, S., Assareh, N., Dahlet, L. I., & Landahl, E. (2019) · Environmental Research Communications · doi:10.1088/2515-7620/ab1762 · Cited by 21
“Such adaptationmeasures canminimize the adverse impacts of climate change and contribute substantially to reducing the food insecurity of farming households (Challinor et al 2014).”
Background
GLOBAL MARKET AND ECONOMIC WELFARE IMPLICATIONS OF CHANGES IN AGRICULTURAL YIELDS DUE TO CLIMATE CHANGE
Calvin, K., Mignone, B. K., Kheshgi, H. S., Snyder, A., Patel, P., Wise, M., Clarke, L., & Edmonds, J. (2020) · Climate Change Economics · doi:10.1142/s2010007820500050 · Cited by 21
Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China
Zhao, J., Yang, X., Liu, Z., Pullens, J. W. M., Chen, J., Marek, G. W., Chen, Y. J., Lv, S., & Sun, S. (2020) · Agricultural Water Management · doi:10.1016/j.agwat.2020.106018 · Cited by 20
Simulation of the impacts of climate change on phenology, growth, and yield of various rice genotypes in humid sub-tropical environments using AquaCrop-Rice
Raoufi, R. S., & Soufizadeh, S. (2020) · International Journal of Biometeorology · doi:10.1007/s00484-020-01946-5 · Cited by 21
Extensive haplotypes are associated with population differentiation and environmental adaptability in Upland cotton (Gossypium hirsutum)
Dai, P., Sun, G., Jia, Y., Pan, Z., Tian, Y., Peng, Z., Li, H., He, S., & Du, X. (2020) · Theoretical and Applied Genetics · doi:10.1007/s00122-020-03668-z · Cited by 23
“2014), and models of future warming scenarios have predicted that this trend will be exacerbated, resulting in yield losses across major crops in the range of 25–50% by the 2100s (Challinor et al. 2014).”
Background
Indicator-Based Assessment of Resilience and Vulnerability in the Indian Himalayan Region: A Case Study on Socio-Economy under Different Scenarios
Dasgupta, S., & Badola, R. (2020) · Sustainability · doi:10.3390/su12176938 · Cited by 21
“Indicators for vulnerability assessment were selected on the basis of sustainable livelihood framework and IPCC (Intergovernmental Panel for Climate Change) 2014 guideline from both climate shock and adaptive capacity components.”
BackgroundMethodInfluential
Edaphoclimatic factors determining sunflower yields spatiotemporal dynamics in northern Ukraine
Zymaroieva, A. A., Жуков, О. В., Федонюк, Т. П., Pinkina, T., & Vlasiuk, V. (2021) · OCL · doi:10.1051/ocl/2021013 · Cited by 21
The Integration of Land Restoration and Biodiversity Conservation Practices in Sustainable Food Systems of Africa: A Systematic Review
Rapiya, M., Truter, W. F., & Ramoelo, A. (2024) · Sustainability · doi:10.3390/su16208951 · Cited by 26
Africa Would Need to Import More Maize in the Future Even Under 1.5°C Warming Scenario
Zhai, R., Tao, F., Lall, U., & Elliott, J. W. (2020) · Earth s Future · doi:10.1029/2020ef001574 · Cited by 20
Irrigating with cooler water does not reverse high temperature impact on grain yield and quality in hybrid rice
Shi, W., Zhang, X., Yang, J., Impa, S. M., Wang, D., Lai, Y., Yang, Z., Xu, H., Wu, J., Zhang, J., et al. (2022) · The Crop Journal · doi:10.1016/j.cj.2022.09.006 · Cited by 20
Life cycle assessment of an agrivoltaic system with conventional potato production
Busch, C., & Wydra, K. D. (2023) · Journal of Renewable and Sustainable Energy · doi:10.1063/5.0156779 · Cited by 20
Prioritizing agronomic practices and uncertainty assessment under climate change for winter wheat in the loess plateau, China
Jiang, T., Wang, B., Duan, X., Liu, D. L., He, J., He, L., Jin, N., Feng, H., & Yu, Q. (2023) · Agricultural Systems · doi:10.1016/j.agsy.2023.103770 · Cited by 20
“To address these challenges and counteract the adverse effects of climate change, it is essential to enhance the resilience of local agricultural systems through adaptation options (Challinor et al., 2014; Howden et al., 2007).”
Demystifying the advanced interventions of genetics and modern breeding approaches for nutritional security and sustainability of neglected and underused crop species (NUCS)
Zafar, T., Mehra, A., Das, P., Shaik, B., & Malik, A. A. (2023) · Genetic Resources and Crop Evolution · doi:10.1007/s10722-023-01823-1 · Cited by 20
Trends and climate response in the yield of staple crops across Northeast China
Xiao, D.-P., Yang, X., Bai, H.-Z., Tang, J.-Z., & Tao, F.-L. (2024) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2023.1246347 · Cited by 19
Has the Impact of Rising CO2 on Plants been Exaggerated by Meta-Analysis of Free Air CO2 Enrichment Studies?
Haworth, M., Hoshika, Y., & Killi, D. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.01153 · Cited by 21
“Such reductions in effect size will have critical implications for studies where the output of meta-analyses are used to predict the photosynthetic (Ainsworth and Rogers, 2007) and yield (Long et al., 2006; Bishop et al., 2014; Challinor et al., 2014) responses of plants to rising [CO2].”
Background
Length phenotyping with interest point detection
Vit, A., Shani, G., & Bar-Hillel, A. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105629 · Cited by 20
Genetic Improvement of Cereals and Grain Legumes
Nawaz, M. A., & Chung, G. (2020) · Genes · doi:10.3390/genes11111255 · Cited by 20
“Based on a meta-analysis of ~1700 model simulations, it was reported that global mean crop yields are projected to decrease about 3–10% per degree of warming above historical levels [6].”
Background
Sensitivity of soybean planting date to wet season onset in Mato Grosso, Brazil, and implications under climate change
Zhang, M., Abrahão, G. M., & Thompson, S. (2021) · Climatic Change · doi:10.1007/s10584-021-03223-9 · Cited by 21
“Hotter and drier conditions over the continent pose threats to the predominantly rainfed cropping systems, where many crops already experience the upper limit of their temperature tolerances (Challinor et al. 2014; Knox et al. 2012; Rosenzweig et al. 2014).”
Background
Plant-soil interactions and nutrient availability determine the impact of elevated CO2 and temperature on cotton productivity
Osanai, Y., Tissue, D. T., Bange, M., Anderson, I. C., Braunack, M. V., & Singh, B. K. (2016) · Plant and Soil · doi:10.1007/s11104-016-2981-3 · Cited by 20
“However, TE has also been shown to reduce yields of major crop species (Asseng et al. 2015; Challinor et al. 2014; Lobell and Field 2007), with responses dependent on the magnitude of TE and crop species (Schlenker and Roberts 2009; Tubiello et al. 2002).”
Background
Genetic resources and precise gene editing for targeted improvement of barley abiotic stress tolerance
Karunarathne, S., Walker, E., Sharma, D., Li, C., & Han, Y. (2023) · Journal of Zhejiang University-SCIENCE B · doi:10.1631/jzus.b2200552 · Cited by 18
“…are expected to increase, and terms such as “flash drought” are now used to describe the sudden increase in the intensity of drought episodes observed (Challinor et al., 2014; Otkin et al., 2018; Xie et al., 2018; Ahmadalipour et al., 2019; Cohen et al., 2021; Otkin et al., 2021; Parker et al.,…”
Limiting global warming to 2 °C benefits building climate resilience in rice-wheat systems in India through crop calendar management
Wang, X., Wang, X., Folberth, C., Skalský, R., Li, H., Liu, Y., & Balkovič, J. (2023) · Agricultural Systems · doi:10.1016/j.agsy.2023.103806 · Cited by 19
Estimating cropland carbon fluxes: A process-based model evaluation at a Swiss crop-rotation site
Revill, A., Emmel, C., D'Odorico, P., Buchmann, N., Hörtnagl, L., & Eugster, W. (2019) · Field crops research (Print) · doi:10.1016/j.fcr.2019.02.006 · Cited by 11
Addressing the Role of Landraces in the Sustainability of Mediterranean Agroecosystems
Carranza-Gallego, G., Guzmán, G. I., García‐Ruiz, R., de Molina, M. G., & Aguilera, E. (2019) · Sustainability · doi:10.3390/su11216029 · Cited by 19
“Worldwide, a decrease in cereal yields due to CC has been predicted [4], since the harmful climate effects can offset technological-based increases on cereal yields [5].”
Background
Interactive role between phosphorus utilization efficiency and water use efficiency. A tool to categorize wheats co-adapted to water and phosphorus limiting conditions
Meier, S., Moore, F., Morales, A., Jobet, C., López-Olivari, R., Aponte, H., Cartes, P., Campos, P. M., & Khan, N. (2021) · Agricultural Water Management · doi:10.1016/j.agwat.2021.106765 · Cited by 19
Climate Change Impact Assessment and Adaptation Strategies for Rainfed Wheat in Contrasting Climatic Regions of Iran
Nazari, M., Mirgol, B., & Salehi, H. (2021) · Frontiers in Agronomy · doi:10.3389/fagro.2021.806146 · Cited by 21
“Climate warming may substantially impact on crop production in farmlands (Challinor et al., 2014).”
Background
Awareness and adaptations to climate change among the rural farmers in different agro-ecological zones of Tanzania
Mkonda, M. Y. (2022) · Management of Environmental Quality An International Journal · doi:10.1108/meq-10-2021-0241 · Cited by 22
Abiotic stress signaling in plants and transgenic technology as a triumph: A review
Manepalli, S. B., Tomar, S., Gaikwad, D. J., & Maitra, S. (2022) · Journal of Applied Biology & Biotechnology · doi:10.7324/jabb.2022.100501 · Cited by 19
Temporal Dynamics of Rare and Abundant Soil Bacterial Taxa from Different Fertilization Regimes Under Various Environmental Disturbances
Sun, Y., Deng, X., Tao, C., Liu, H., Shen, Z., Liu, Y., Li, R., & Shen, Q. (2022) · mSystems · doi:10.1128/msystems.00559-22 · Cited by 19
“The negative effects of climate extremes on terrestrial ecosystem functions are predicted to increase (2, 3), lead-”
Background
Climate change in Brazilian agriculture: vulnerability and adaptation assessment
dos Santos, E. A., Fortini, R. M., Cardoso, L., & Zanúncio, J. C. (2023) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-022-04730-7 · Cited by 24
“…change is extensive (Deschenes and Greenstone 2007; Dell et al. 2009; Green et al. 2010; Dell et al. 2012; Leonard et al. 2013; Nelson et al. 2014; Challinor et al. 2014; Viswanathan and Kavi Kumar 2015; Kreslake et al. 2016; Roser-Renouf et al. 2016; Barbier and Hochard 2018; Tol 2018;…”
Background
Long-Term Seasonal Drought Trends in the China-Pakistan Economic Corridor
Shelton, S., & Dixon, R. D. (2023) · Climate · doi:10.3390/cli11020045 · Cited by 19
“According to Konapala et al. [97], variations of seasonal and annual mean precipitation and evaporation inﬂuence patterns of water availability [98], crop yield [99], and ecology [100], ultimately impacting society and ecosystems.”
Method
The Mechanism of Manganese Ferrite Nanomaterials Promoting Drought Resistance in Rice
Yue, L., Xie, B., Cao, X., Chen, F., Wang, C., Xiao, Z., Jiao, L., & Wang, Z. (2023) · Nanomaterials · doi:10.3390/nano13091484 · Cited by 19
“However, climate change is leading us to a hotter and drier world, causing more than 30% of crop losses in the world’s food production process and a USD 30 billion global economic loss over the past decade [2].”
Background
Dryland Social-Ecological Systems in Changing Environments
Fu, B., & Stafford‐Smith, M. (2024) · Springer eBooks · doi:10.1007/978-981-99-9375-8 · Cited by 20
Evaluating the impacts of climatic factors and global climate change on the yield and resource use efficiency of winter wheat in China
Cao, Y., Qiu, X., Kang, M., Zhang, L., Lu, W., Liu, B., Tang, L., Xiao, L., Zhu, Y., Cao, W., et al. (2024) · European Journal of Agronomy · doi:10.1016/j.eja.2024.127295 · Cited by 19
Dissecting the vital role of dietary changes in food security assessment under climate change
Zhao, J., Zhang, Z., Zhao, C., Liu, Z., Guo, E., Zhang, T., Chen, J., Olesen, J. E., Liu, K., Harrison, M. T., et al. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01612-3 · Cited by 21
Increasing contribution of the atmospheric vertical motion to precipitation in a warming climate
Jun, T., & Rind, D. H. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01676-1 · Cited by 21
“Societies are vulnerable to precipitation change as precipitation variability hasasigni ﬁ cantimpactonnumeroussocioeconomicoutcomesandhuman well-being 1 – 5 .”
Simulating the effects of sea level rise and soil salinization on adaptation and migration decisions in Mozambique
Pandey, K., de Bruijn, J., de Moel, H., Botzen, W. J. W., & Aerts, J. C. J. H. (2024) · Natural hazards and earth system sciences · doi:10.5194/nhess-24-4409-2024 · Cited by 19
The quantitative models for broiler chicken response to monochromatic, combined, and mixed light-emitting diode light: A meta-analysis
Yang, Y., Pan, C., Zhong, R., & Pan, J. (2018) · Poultry Science · doi:10.3382/ps/pey065 · Cited by 19
New modelling technique for improving crop model performance - Application to the GLAM model
Droutsas, I., Challinor, A. J., Swiderski, M., & Semenov, M. A. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.05.005 · Cited by 19
“However significant challenges remain if the risks posed by climate change are to be reliably quantified (Challinor et al., 2014).”
BackgroundSelf-citation
Spatiotemporal rice yield variations and potential agro-adaptation strategies in Bangladesh: A biophysical modeling approach
Islam, A. R. M. T., Shen, S., Yang, S., Hu, Z., & Rahman, M. A. (2020) · Sustainable Production and Consumption · doi:10.1016/j.spc.2020.07.005 · Cited by 19
Environmental livelihood security in Southeast Asia and Oceania: a water-energy-food-livelihoods nexus approach for spatially assessing change. White paper
Biggs, E. M., Boruff, B. J., Bruce, E. M., Duncan, J., Haworth, B. T., Duce, S., Horsley, J., Curnow, J., Neef, A., McNeill, K., et al. (2014) · doi:10.5337/2014.231 · Cited by 19
“Warming temperatures and extreme heat events are likely to negatively impact cereal crop production (Deryng et al. 2014; Gourdji et al. 2013; Challinor et al. 2014; Rosenzweig et al. 2014).”
Background
Phenological Adaptation Is Insufficient to Offset Climate Change‐Induced Yield Losses in US Hybrid Maize
Kusmec, A., & Schnable, P. S. (2024) · Global Change Biology · doi:10.1111/gcb.17539 · Cited by 18
“In contrast to the stabilized or increased yields projected under this strategy, meta-analyses drawing primarily from CGM studies consistently find little support for its efficacy (Abramoff et al. 2023; Challinor et al. 2014; Rezaei et al. 2023).”
Decreased root hydraulic traits in German winter wheat cultivars over 100 years of breeding
Cabrera, J. C. B., Vanderborght, J., Boursiac, Y., Behrend, D., Gaiser, T., Nguyen, T. H., & Lobet, G. (2025) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiaf166 · Cited by 18
“This challenge will be further exacerbated by the effects of climate change, particularly rising global temperatures and changing rainfall patterns, which threaten to destabilize wheat production across regions (Challinor et al. 2014).”
Will climate change affect sugar beet establishment of the 21st century? Insights from a simulation study using a crop emergence model
Lamichhane, J. R., Constantin, J., Aubertot, J., & Dürr, C. (2019) · Field Crops Research · doi:10.1016/j.fcr.2019.04.022 · Cited by 18
Advancing Bromegrass Breeding Through Imaging Phenotyping and Genomic Selection: A Review
Biswas, D. K., Coulman, B. E., Biligetu, B., & Fu, Y. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2019.01673 · Cited by 18
“On the other hand, little attention has been paid to improve resource-use efficiency and abiotic stress tolerance of this economically important forage species, although evidence from other kinds of crop indicates that crop adaptation to adverse environmental conditions is critical to thrive under changing climates (C…”
Background
Assessment of climate change impact on double-cropping systems
Andréa, M. C. D. S., Dallacort, R., Tieppo, R. C., & Barbieri, J. D. (2020) · SN Applied Sciences · doi:10.1007/s42452-020-2325-z · Cited by 22
Phenotypic plasticity of two M. oleifera ecotypes from different climatic zones under water stress and re-watering
Brunetti, C., Gori, A., Moura, B. B., Loreto, F., Sebastiani, F., Giordani, E., & Ferrini, F. (2020) · Conservation Physiology · doi:10.1093/conphys/coaa028 · Cited by 18
“In this context, there is an increasing need to study the effects of water stress on crops and short-rotation tree plantations to select specific genotypes/ecotypes able to cope with drought conditions (Condon et al., 2002; Verchot et al., 2007; Li et al., 2009; Challinor et al., 2014).”
Background
Effect of drought length on the performance of cabbage (Brassica oleracea var capitata) in the forest-savannah transition zone, Ghana
Ackah, E., & Kotei, R. (2020) · Plant Physiology Reports · doi:10.1007/s40502-020-00541-5 · Cited by 18
Dissecting heat tolerance and yield stability in maize from greenhouse and field experiments
Liu, M., Sheng, D., Liu, X., Wang, Y., Hou, X., Wang, Y., Wang, P., Guan, L., Dong, X., & Huang, S. (2022) · Journal of Agronomy and Crop Science · doi:10.1111/jac.12590 · Cited by 18
Optimizing the sowing window for direct-seeded rice (Oryza sativa L.) considering high yield and methane emissions in Central China
Zhou, Z., Jin, J., Liu, J., & Si, Y. (2022) · Agricultural Systems · doi:10.1016/j.agsy.2022.103594 · Cited by 18
Loss and Damage from Climate Change: Knowledge Gaps and Interdisciplinary Approaches
Balzter, H., Macul, M. D. S., Delaney, B., Tansey, K. J., Espírito-Santo, F. D. B., Ofoegbu, C., Petrovskii, S., Forchtner, B., Nicholes, N., Payo, E., et al. (2023) · Sustainability · doi:10.3390/su151511864 · Cited by 18
eSoil: A low-power bioelectronic growth scaffold that enhances crop seedling growth
Oikonomou, V. K., Huerta, M., Sandéhn, A., Dreier, T., Daguerre, Y., Lim, H., Magnus Berggren, A., Pavlopoulou, E., Näsholm, T., Bech, M., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304135120 · Cited by 18
“The world population is currently 7.97 billion and is expected to increase to 9.6 billion by 2050 (1), imposing the need to increase food production by 60% to cover the demands.”
Influential
Bioenergy potential from agricultural by-product in 2030: An AI-based spatial analysis and climate change scenarios in a Chinese region
Shi, Z., Ferrari, G., Ai, P., Marinello, F., & Pezzuolo, A. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.140621 · Cited by 18
Genome‐wide scanning to identify and validate single nucleotide polymorphism markers associated with drought tolerance in spring wheat seedlings
Sallam, A., Dawood, M. F. A., Jarquín, D., Mohamed, E. A., Hussein, M. Y., Börner, A., & Ahmed, A. (2024) · The Plant Genome · doi:10.1002/tpg2.20444 · Cited by 18
“Wheat ( Triticum aestivum L.) is one of the leading types of self-pollinating cereal crops and is considered the second most important food crop in the world after rice ( Oryza sativa L.) (Challinor et al., 2014).”
Background
Assessing the impacts of climate change on crop yields, soil organic carbon sequestration and N2O emissions in wheat–maize rotation systems
Wang, S., Sun, N., Zhang, X., Hu, C., Wang, Y., Xiong, W., Zhang, S., Colinet, G., Xu, M., & Wu, L. (2024) · Soil and Tillage Research · doi:10.1016/j.still.2024.106088 · Cited by 21
Agrochemical-free genetically modified and genome-edited crops: Towards achieving the United Nations sustainable development goals and a 'greener' green revolution
Husaini, A. M., & Sohail, M. F. (2024) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2024.04.015 · Cited by 18
The vision for adapted crops and soils: how to prioritize investments to achieve sustainable nutrition for all
Herrick, J. E., Fowler, C., Sibanda, L. M., Lal, R., & Nelson, A. M. (2024) · Nature Plants · doi:10.1038/s41477-024-01867-w · Cited by 18
Bio-economic evaluation of cropping systems for saline coastal Bangladesh: I. Biophysical simulation in historical and future environments
Kabir, M. J., Gaydon, D. S., Cramb, R., & Roth, C. H. (2018) · Agricultural Systems · doi:10.1016/j.agsy.2018.01.027 · Cited by 18
“…et al., 2013), DCGE (Thurlow et al., 2012), regression models (Sarker et al., 2012), systematic review and metaanalysis (Wassmann et al., 2009; Challinor et al., 2014) and Aquacrop (Maniruzzaman et al., 2015; Mondal et al., 2015a) to estimate the sensitivity of rice and wheat productivity to…”
Background
Future Impacts of Climate Change and Land Use on Multiple Ecosystem Services in a Rapidly Urbanizing Agricultural Basin, China
Liu, Y., Bi, J., & Lv, J. (2018) · Sustainability · doi:10.3390/su10124575 · Cited by 18
“The results indicated that there were mainly negative impacts of climate change on most types of ESs, such as food provision [24], water yield [11,25], and soil conservation [4], but carbon sequestration was highly variable across studies and ecosystem types [26,27].”
Retrospective Assessment of Beef Cow Numbers to Climate Variability Throughout the U.S. Great Plains
Klemm, T., & Briske, D. D. (2019) · Rangeland Ecology & Management · doi:10.1016/j.rama.2019.07.004 · Cited by 18
“In contrast, potential reductions in yield and the potential value of adaptation strategies under various climate scenarios have been effectively developed for cropping systems (Challinor et al., 2014; Hatfield et al., 2018).”
Background
Determinants of flood adaptation: Parametric and semiparametric assessment
Pathak, S. (2021) · Journal of Flood Risk Management · doi:10.1111/jfr3.12699 · Cited by 18
“Most of the studies have delved with adaptation strategies with the focus ranging from the regional, national, and the global level (Challinor et al., 2014; Waha et al., 2013).”
Background
Multiple global change impacts on parasitism and biocontrol services in future agricultural landscapes
Monticelli, L. S., Bishop, J., Desneux, N., Gurr, G. M., Jaworski, C. C., McLean, A. H. C., Thomine, E., & Vanbergen, A. J. (2021) · Advances in ecological research/Advances in Ecological Research · doi:10.1016/bs.aecr.2021.10.002 · Cited by 21
Little Ice Age climatic erraticism as an analogue for future enhanced hydroclimatic variability across the American Southwest
Loisel, J., MacDonald, G. M. S. D., & Thomson, M. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186282 · Cited by 20
Sustainable Production of Roots and Tuber Crops for Food Security under Climate Change
Taylor, M., Lebot, V., McGregor, A., & Redden, R. J. (2018) · doi:10.1002/9781119180661.ch15 · Cited by 18
Crop-livestock integration practices, knowledge, and attitudes among smallholder farmers: Hedging against climate change-induced shocks in semi-arid Zimbabwe
Musara, J. P., Tibugari, H., Moyo, B., & Mutizira, C. (2021) · Open Life Sciences · doi:10.1515/biol-2021-0135 · Cited by 17
“The risky and changing climatic conditions in which these smallholder farmers operate further compound this scenario and affect the decisions made across “competing” crop and livestock enterprises [4].”
Background
Projected climate change impacts on Potato yield in East Africa
Kirina, T. K., Supit, I., Groot, A., Ludwig, F., & Demissie, T. D. (2025) · European Journal of Agronomy · doi:10.1016/j.eja.2025.127560 · Cited by 17
Environmental data provide marginal benefit for predicting climate adaptation
Li, F., Gates, D. J., Buckler, E. S., Hufford, M. B., Janzen, G. M., Rellán‐Álvarez, R., Rodríguez-Zapata, F., Navarro, J. A. R., Sawers, R. J. H., Snodgrass, S. J., et al. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011714 · Cited by 20
“Global temperatures have increased 1.5°C above pre-industrial levels [1], with further increases of 3.3-5.7°C possible in the next 100 years [2].”
Influential
Integrated Approach of Using Biostimulants for Improving Growth, Physiological Traits, and Tolerance to Abiotic Stressors in Rice and Soybean
Win, P. P., Park, H. H., & Kuk, Y. I. (2025) · Agronomy · doi:10.3390/agronomy15102265 · Cited by 23
An Innovative Damage Model for Crop Insurance, Combining Two Hazards into a Single Climatic Index
Kapsambelis, D., Moncoulon, D., & Cordier, J. (2019) · Climate · doi:10.3390/cli7110125 · Cited by 17
Effects of Sunshine Hours and Daily Maximum Temperature Declines and Cultivar Replacements on Maize Growth and Yields
Song, L., & Jin, J. (2020) · Agronomy · doi:10.3390/agronomy10121862 · Cited by 19
Combining qualitative and quantitative methodology to assess prospects for novel crops in a warming climate
Gardner, A. S., Gaston, K. J., & Maclean, I. M. D. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103083 · Cited by 17

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.
ORCID: Challinor, A. J.
Lobell, D. B.
Smith, D. R.
Chhetri, N.
Venue: Nature Climate Change
Publisher: Springer Science and Business Media LLC
Published: 2014-03-16
Volume: 4
Issue: 4
Pages: 287-291
ISSN: 1758-678X (ISSN-L)
1758-6798
DOI: 10.1038/nclimate2153
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A meta-analysis of crop yield under climate change and adaptation

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks