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      Climate change has likely already affected global food production

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          Abstract

          Crop yields are projected to decrease under future climate conditions, and recent research suggests that yields have already been impacted. However, current impacts on a diversity of crops subnationally and implications for food security remains unclear. Here, we constructed linear regression relationships using weather and reported crop data to assess the potential impact of observed climate change on the yields of the top ten global crops–barley, cassava, maize, oil palm, rapeseed, rice, sorghum, soybean, sugarcane and wheat at ~20,000 political units. We find that the impact of global climate change on yields of different crops from climate trends ranged from -13.4% (oil palm) to 3.5% (soybean). Our results show that impacts are mostly negative in Europe, Southern Africa and Australia but generally positive in Latin America. Impacts in Asia and Northern and Central America are mixed. This has likely led to ~1% average reduction (-3.5 X 10 13 kcal/year) in consumable food calories in these ten crops. In nearly half of food insecure countries, estimated caloric availability decreased. Our results suggest that climate change has already affected global food production.

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          Most cited references36

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          Temperature increase reduces global yields of major crops in four independent estimates.

          Wheat, rice, maize, and soybean provide two-thirds of human caloric intake. Assessing the impact of global temperature increase on production of these crops is therefore critical to maintaining global food supply, but different studies have yielded different results. Here, we investigated the impacts of temperature on yields of the four crops by compiling extensive published results from four analytical methods: global grid-based and local point-based models, statistical regressions, and field-warming experiments. Results from the different methods consistently showed negative temperature impacts on crop yield at the global scale, generally underpinned by similar impacts at country and site scales. Without CO2 fertilization, effective adaptation, and genetic improvement, each degree-Celsius increase in global mean temperature would, on average, reduce global yields of wheat by 6.0%, rice by 3.2%, maize by 7.4%, and soybean by 3.1%. Results are highly heterogeneous across crops and geographical areas, with some positive impact estimates. Multimethod analyses improved the confidence in assessments of future climate impacts on global major crops and suggest crop- and region-specific adaptation strategies to ensure food security for an increasing world population.
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            Rice yields decline with higher night temperature from global warming.

            The impact of projected global warming on crop yields has been evaluated by indirect methods using simulation models. Direct studies on the effects of observed climate change on crop growth and yield could provide more accurate information for assessing the impact of climate change on crop production. We analyzed weather data at the International Rice Research Institute Farm from 1979 to 2003 to examine temperature trends and the relationship between rice yield and temperature by using data from irrigated field experiments conducted at the International Rice Research Institute Farm from 1992 to 2003. Here we report that annual mean maximum and minimum temperatures have increased by 0.35 degrees C and 1.13 degrees C, respectively, for the period 1979-2003 and a close linkage between rice grain yield and mean minimum temperature during the dry cropping season (January to April). Grain yield declined by 10% for each 1 degrees C increase in growing-season minimum temperature in the dry season, whereas the effect of maximum temperature on crop yield was insignificant. This report provides a direct evidence of decreased rice yields from increased nighttime temperature associated with global warming.
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              Rising temperatures reduce global wheat production

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: VisualizationRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                31 May 2019
                2019
                : 14
                : 5
                : e0217148
                Affiliations
                [1 ] Institute on the Environment (IonE), University of Minnesota, Saint Paul, Minnesota, United States of America
                [2 ] Department of Natural Resources Science and Management, University of Minnesota, Saint Paul, Minnesota, United States of America
                [3 ] now at the Oxford Martin School and Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
                [4 ] Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Copenhagen, Denmark
                [5 ] School of Statistics, University of Minnesota, Minneapolis, Minnesota, United States of America
                Kyungpook National University, REPUBLIC OF KOREA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-2856-9608
                Article
                PONE-D-18-31437
                10.1371/journal.pone.0217148
                6544233
                31150427
                99390d91-c342-43af-aa51-ee9bf0062152
                © 2019 Ray et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 October 2018
                : 6 May 2019
                Page count
                Figures: 2, Tables: 1, Pages: 18
                Funding
                Funded by: Gordon and Betty Moore Foundation
                Award Recipient :
                Funded by: Belmont Forum
                Award ID: NE/M021327/1
                Award Recipient :
                Funded by: Institute on the Environment
                Award Recipient :
                Funded by: LEAP
                Award ID: 205212/Z/16/Z
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DMS-1622483 DMS-1737918
                Award Recipient :
                DKR, PCW and JSG were partially supported by funding from the Gordon and Betty Moore Foundation and the Belmont Forum/FACCE-JPI funded DEVIL project (NE/M021327/1), and the Institute on the Environment. MC was supported by the Wellcome Trust, Our Planet Our Health (Livestock, Environment and People - LEAP), award number 205212/Z/16/Z. SC was partially supported by the National Science Foundation (NSF) grants DMS-1622483 and DMS-1737918. The funders had no role in study design, data collection or analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Cereal Crops
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Maize
                Research and Analysis Methods
                Model Organisms
                Maize
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Maize
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Plant and Algal Models
                Maize
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Rice
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Plant and Algal Models
                Rice
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Food Consumption
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Food Consumption
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Wheat
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Soybean
                Custom metadata
                Data underlying the study are government reported data and are publicly available from the links in S1 Text. The authors confirm they did not have any special access to this data that others would not have. Yield data for the studied regions for the top four global crops are in S8 Table.

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                Uncategorized

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