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      Climate variability impacts on rice production in the Philippines

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      PLoS ONE
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          Abstract

          Changes in crop yield and production over time are driven by a combination of genetics, agronomics, and climate. Disentangling the role of these various influences helps us understand the capacity of agriculture to adapt to change. Here we explore the impact of climate variability on rice yield and production in the Philippines from 1987–2016 in both irrigated and rainfed production systems at various scales. Over this period, rice production is affected by variations in soil moisture, which are largely driven by the El Niño–Southern Oscillation (ENSO). We found that the climate impacts on rice production are strongly seasonally modulated and differ considerably by region. As expected, rainfed upland rice production systems are more sensitive to soil moisture variability than irrigated paddy rice. About 10% of the variance in rice production anomalies on the national level co-varies with soil moisture changes, which in turn are strongly negatively correlated with an index capturing ENSO variability. Our results show that while temperature variability is of limited importance in the Philippines today, future climate projections suggest that by the end of the century, temperatures might regularly exceed known limits to rice production if warming continues unabated. Therefore, skillful seasonal prediction will likely become increasingly crucial to provide the necessary information to guide agriculture management to mitigate the compounding impacts of soil moisture variability and temperature stress. Detailed case studies like this complement global yield studies and provide important local perspectives that can help in food policy decisions.

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          Most cited references58

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            Yield Trends Are Insufficient to Double Global Crop Production by 2050

            Several studies have shown that global crop production needs to double by 2050 to meet the projected demands from rising population, diet shifts, and increasing biofuels consumption. Boosting crop yields to meet these rising demands, rather than clearing more land for agriculture has been highlighted as a preferred solution to meet this goal. However, we first need to understand how crop yields are changing globally, and whether we are on track to double production by 2050. Using ∼2.5 million agricultural statistics, collected for ∼13,500 political units across the world, we track four key global crops—maize, rice, wheat, and soybean—that currently produce nearly two-thirds of global agricultural calories. We find that yields in these top four crops are increasing at 1.6%, 1.0%, 0.9%, and 1.3% per year, non-compounding rates, respectively, which is less than the 2.4% per year rate required to double global production by 2050. At these rates global production in these crops would increase by ∼67%, ∼42%, ∼38%, and ∼55%, respectively, which is far below what is needed to meet projected demands in 2050. We present detailed maps to identify where rates must be increased to boost crop production and meet rising demands.
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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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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 August 2018
                2018
                : 13
                : 8
                : e0201426
                Affiliations
                [1 ] Center for Climate Physics, Institute for Basic Science (IBS), Busan, Republic of Korea
                [2 ] Pusan National University, Busan, Republic of Korea
                [3 ] Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States of America
                [4 ] Department of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, United States of America
                Centro de Investigacion Cientifica y de Educacion Superior de Ensenada Division de Fisica Aplicada, MEXICO
                Author notes

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

                Author information
                http://orcid.org/0000-0001-5542-0975
                Article
                PONE-D-18-05384
                10.1371/journal.pone.0201426
                6084865
                30091991
                6def316c-470c-406f-be83-f9d0454ce82c
                © 2018 Stuecker 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
                : 18 February 2018
                : 16 July 2018
                Page count
                Figures: 5, Tables: 0, Pages: 17
                Funding
                Funded by: MFS was supported by the Institute for Basic Science (project code IBS- R028-D1) and the NOAA Climate and Global Change Postdoctoral Fellowship Program, administered by UCAR's Cooperative Programs for the Advancement of Earth System Sciences (CPAESS).
                Award Recipient :
                Funded by: MT was funded by a grant from the Tamaki Foundation
                Award Recipient :
                MFS was supported by the Institute for Basic Science (project code IBS- R028-D1) and the NOAA Climate and Global Change Postdoctoral Fellowship Program, administered by UCAR's Cooperative Programs for the Advancement of Earth System Sciences (CPAESS) and MT was funded by a grant from the Tamaki Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Rice
                Research and Analysis Methods
                Experimental Organism Systems
                Plant and Algal Models
                Rice
                People and Places
                Geographical Locations
                Asia
                Philippines
                Biology and Life Sciences
                Agriculture
                Agricultural Soil Science
                Ecology and Environmental Sciences
                Soil Science
                Agricultural Soil Science
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Earth Sciences
                Seasons
                Earth sciences
                Atmospheric science
                Climatology
                El Ni単o-Southern Oscillation
                Earth sciences
                Marine and aquatic sciences
                Oceanography
                El Ni単o-Southern Oscillation
                Biology and Life Sciences
                Agriculture
                Agricultural Methods
                Agricultural Irrigation
                Custom metadata
                Data was sourced from the following third party providers: Rice production data from 1987-2016 were obtained from the Philippine government statistic authority ( http://countrystat.psa.gov.ph/). ENSO variability was characterized using the Niño3.4 (N3.4) index, which is calculated as the area averaged sea surface temperature anomalies from HadISST1 ( https://www.metoffice.gov.uk/hadobs/hadisst/data/download.html) in the region 170°W-120°W and 5°S-5°N. Soil moisture data were obtained from CPC (version 2) at 0.5º horizontal resolution (35) ( https://www.esrl.noaa.gov/psd/data/gridded/data.cpcsoil.html). Surface air temperature (2m) was obtained from the ERA-Interim reanalysis on a 0.125º horizontal grid ( https://www.ecmwf.int/). Future climate projection data were obtained from the CMIP5 database for the business-as-usual scenario RCP 8.5 ( https://cmip.llnl.gov/cmip5/data_portal.html).

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