--- - attributes: ~ caption: 'Precipitation and temperature changes affect fresh and marine water quantity and quality primarily through urban, rural, and agricultural runoff. This runoff in turn affects human exposure to water-related illnesses primarily through contamination of drinking water, recreational water, and fish and shellfish.' chapter_identifier: water-related-illnesses create_dt: 2014-10-30T14:42:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/links-between-climate-change-water-quantity-and-quality-and-human-exposure-to-water-related-illness.yaml identifier: links-between-climate-change-water-quantity-and-quality-and-human-exposure-to-water-related-illness lat_max: N/A lat_min: N/A lon_max: N/A lon_min: N/A ordinal: 2 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: 'Links between Climate Change, Water Quantity and Quality, and Human Exposure to Water-Related Illness' uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/links-between-climate-change-water-quantity-and-quality-and-human-exposure-to-water-related-illness url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'This figure compares the geographic distribution of chicken, cattle, and hog and pig densities to the projected change in annual maximum 5-day precipitation totals (2046–2065 compared to 1981–2000, multi-model average using RCP8.5) across the continental United States. Increasing frequency and intensity of precipitation and subsequent increases in runoff are key climate factors that increase the potential for pathogens associated with livestock waste to contaminate water bodies. (Figure sources: adapted from Sun et al. 2015 and USDA 2014).b63c9720-f770-4718-89cc-53b3616e2bec,1002d699-e8a9-4572-aec0-16524400e7a5' chapter_identifier: water-related-illnesses create_dt: 2015-12-09T14:13:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/locations-of-livestock-and-projections-of-heavy-precipitation.yaml identifier: locations-of-livestock-and-projections-of-heavy-precipitation lat_max: 49.38 lat_min: 24.50 lon_max: -66.95 lon_min: -124.80 ordinal: 3 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: 2012-12-31T23:59:59 time_start: 2012-12-31T00:00:00 title: Locations of Livestock and Projections of Heavy Precipitation uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/locations-of-livestock-and-projections-of-heavy-precipitation url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'U.S. agriculture exists in the context of global markets. Climate is among the important factors that affect these markets. For example, the increase in U.S. food exports in the 1970s is attributed to a combination of rising incomes in other nations, changes in national currency values and farm policies, and poor harvests in many nations in which climate was a factor. Through seasonal weather impacts on harvests and other impacts, climate change will continue to be a factor in global markets. The graph shows U.S. imports and exports for 1935-2011 in adjusted dollar values. (Data from USDA Economic Research Service 20121de4cf7f-01ac-4857-a86d-30494963d0d2).' chapter_identifier: agriculture create_dt: 2012-10-19T09:25:00 href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/us-agricultural-trade.yaml identifier: us-agricultural-trade lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 3 report_identifier: nca3 source_citation: 'USDA Economic Research Service 20121de4cf7f-01ac-4857-a86d-30494963d0d2' submission_dt: ~ time_end: ~ time_start: ~ title: U.S. Agricultural Trade uri: /report/nca3/chapter/agriculture/figure/us-agricultural-trade url: http://nca2014.globalchange.gov/report/sectors/agriculture/graphics/us-agricultural-trade usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Changes in climate through this century will affect crops differently because individual species respond differently to warming. This figure is an example of the potential impacts on different crops within the same geographic region. Crop yield responses for eight crops in the Central Valley of California are projected under two emissions scenarios, one in which heat-trapping gas emissions are substantially reduced (B1) and another in which these emissions continue to grow (A2). This analysis assumes adequate water supplies (soil moisture) and nutrients are maintained while temperatures increase. The lines show five-year moving averages for the period from 2010 to 2094, with the yield changes shown as differences from the year 2009. Yield response varies among crops, with cotton, maize, wheat, and sunflower showing yield declines early in the period. Alfalfa and safflower showed no yield declines during the period. Rice and tomato do not show a yield response until the latter half of the period, with the higher emissions scenario resulting in a larger yield response. (Figure source: adapted from Lee et al. 201122cbe301-ae3f-4d9a-a111-6b35824a5501).' chapter_identifier: agriculture create_dt: 2014-04-21T14:49:00 href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/crop-yield-response-to-warming-in-californias-central-valley.yaml identifier: crop-yield-response-to-warming-in-californias-central-valley lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 4 report_identifier: nca3 source_citation: 'adapted from Lee et al. 201122cbe301-ae3f-4d9a-a111-6b35824a5501' submission_dt: ~ time_end: ~ time_start: ~ title: Crop Yield Response to Warming in California’s Central Valley uri: /report/nca3/chapter/agriculture/figure/crop-yield-response-to-warming-in-californias-central-valley url: http://nca2014.globalchange.gov/report/sectors/agriculture/graphics/crop-yield-response-warming-californias-central-valley usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Seasonal and decadal projections of abundance of V. parahaemolyticus in oysters of Chesapeake Bay (top) and probability of occurrence of V. vulnificus in Chesapeake Bay surface waters (bottom). The circles show average values in the baseline period (1985–2000) and future years averaged by decadal period: 2030 (2025–2034), 2050 (2045–2054), and 2095 (2090–2099). (Figure source: adapted from Jacobs et al. 2015).8640a3db-35fa-4089-8fb5-d52dc8b35c71' chapter_identifier: water-related-illnesses create_dt: 2015-12-11T10:51:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/projections-of-vibrio-occurrence-and-abundance-in-chesapeake-bay.yaml identifier: projections-of-vibrio-occurrence-and-abundance-in-chesapeake-bay lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 4 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: 2099-12-31T23:59:59 time_start: 2014-12-31T00:00:00 title: Projections of Vibrio Occurrence and Abundance in Chesapeake Bay uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/projections-of-vibrio-occurrence-and-abundance-in-chesapeake-bay url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Vibrio growth increases in temperatures above 15°C (59°F). These maps show the low and high end of the ranges for projected area of Alaskan coastline with water temperature averages in August that are greater than this threshold. The projections were made for the following future time periods: 2030 (2026–2035), 2050 (2046–2055), and 2090 (2086–2095). On average, the models project that by 2090, nearly 60% of the Alaskan shoreline in August will become suitable Vibrio habitat. (Figure source: adapted from Jacobs et al. 2015)8640a3db-35fa-4089-8fb5-d52dc8b35c71' chapter_identifier: water-related-illnesses create_dt: 2015-10-21T14:22:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/changes-in-suitable-coastal-vibrio-habitat-in-alaska.yaml identifier: changes-in-suitable-coastal-vibrio-habitat-in-alaska lat_max: N/A lat_min: N/A lon_max: N/A lon_min: N/A ordinal: 5 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: 2090-12-31T23:59:59 time_start: 2030-01-01T00:00:00 title: Changes in Suitable Coastal Vibrio Habitat in Alaska uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/changes-in-suitable-coastal-vibrio-habitat-in-alaska url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Many climate variables affect agriculture. The maps above show projected changes in key climate variables affecting agricultural productivity for the end of the century (2070-2099) compared to 1971-2000. Changes in climate parameters critical to agriculture show lengthening of the frost-free or growing season and reductions in the number of frost days (days with minimum temperatures below freezing), under an emissions scenario that assumes continued increases in heat-trapping gases (A2). Changes in these two variables are not identical, with the length of the growing season increasing across most of the United States and more variation in the change in the number of frost days. Warmer-season crops, such as melons, would grow better in warmer areas, while other crops, such as cereals, would grow more quickly, meaning less time for the grain itself to mature, reducing productivity.a2704ef3-5be4-41ee-8dfa-4c82e416a292 Taking advantage of the increasing length of the growing season and changing planting dates could allow planting of more diverse crop rotations, which can be an effective adaptation strategy. On the frost-free map, white areas are projected to experience no freezes for 2070-2099, and gray areas are projected to experience more than 10 frost-free years during the same period. In the lower left graph, consecutive dry days are defined as the annual maximum number of consecutive days with less than 0.01 inches of precipitation. In the lower right graph, hot nights are defined as nights with a minimum temperature higher than 98% of the minimum temperatures between 1971 and 2000. (Figure source: NOAA NCDC / CICS-NC).' chapter_identifier: agriculture create_dt: 2013-01-15T11:32:00 href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/projected-changes-in-key-climate-variables-affecting-agricultural-productivity.yaml identifier: projected-changes-in-key-climate-variables-affecting-agricultural-productivity lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 5 report_identifier: nca3 source_citation: NOAA NCDC / CICS-NC submission_dt: ~ time_end: ~ time_start: ~ title: Projected Changes in Key Climate Variables Affecting Agricultural Productivity uri: /report/nca3/chapter/agriculture/figure/projected-changes-in-key-climate-variables-affecting-agricultural-productivity url: http://nca2014.globalchange.gov/highlights/report-findings/agriculture/graphics/key-climate-variables-affecting-agricultural usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Water temperature data from 1990–2013 were collected or reconstructed for buoy sites in the western Gulf of Mexico, Yucatan channel, and eastern Caribbean Sea. These data were then used in calculations to project average annual water temperature and average growth rates for three Caribbean Gambierdiscus species (G. caribaeus, G. belizeanus, G. carolinianus) for the period 2014–2099. (Figure source: adapted from Kibler et al. 2015).1dfd14e0-eae8-46d9-9c3e-0fa3f0c37da4' chapter_identifier: water-related-illnesses create_dt: 2015-12-11T12:54:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/projected-changes-in-caribbean-gambierdiscus-species.yaml identifier: projected-changes-in-caribbean-gambierdiscus-species lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 6 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Projected Changes in Caribbean Gambierdiscus Species uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/projected-changes-in-caribbean-gambierdiscus-species url: ~ usage_limits: ~ - attributes: ~ caption: "Many perennial plants (such as fruit trees and grape vines) require exposure to particular numbers of chilling hours (hours in which the temperatures are between 32°F and 50°F over the winter). This number varies among species, and many trees require chilling hours before flowering and fruit production can occur. With rising temperatures, chilling hours will be reduced. One example of this change is shown here for California’s Central Valley, assuming that observed climate trends in that area continue through 2050 and 2090. Under such a scenario, a rapid decrease in the number of chilling hours is projected to occur.\r\n\r\n\tBy 2000, the number of chilling hours in some regions was 30% lower than in 1950. Based on the A2 emissions scenario that assumes continued increases in heat-trapping gases relative to 1950, the number of chilling hours is projected to decline by 30% to 60% by 2050 and by up to 80% by 2100. These are very conservative estimates of the reductions in chilling hours because climate models project not just simple continuations of observed trends (as assumed here), but temperature trends rising at an increasing rate.fd24f371-4519-45c3-aacc-9c1fcc9a2407 To adapt to these kinds of changes, trees with a lower chilling requirement would have to be planted and reach productive age.\r\n\r\n\tVarious trees and grape vines differ in their chilling requirements, with grapes requiring 90 hours, peaches 225, apples 400, and cherries more than 1,000.fd24f371-4519-45c3-aacc-9c1fcc9a2407 Increasing temperatures are likely to shift grape production for premium wines to different regions, but with a higher risk of extremely hot conditions that are detrimental to such varieties.395769c5-1d9b-40fc-adae-4c4c26b00fbe The area capable of consistently producing grapes required for the highest-quality wines is projected to decline by more than 50% by late this century.395769c5-1d9b-40fc-adae-4c4c26b00fbe (Figure source: adapted from Luedeling et al. 2009fd24f371-4519-45c3-aacc-9c1fcc9a2407)." chapter_identifier: agriculture create_dt: 2013-11-18T07:24:00 href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/reduced-winter-chilling-projected-for-california.yaml identifier: reduced-winter-chilling-projected-for-california lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 6 report_identifier: nca3 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Reduced Winter Chilling Projected for California uri: /report/nca3/chapter/agriculture/figure/reduced-winter-chilling-projected-for-california url: http://nca2014.globalchange.gov/report/sectors/agriculture/graphics/reduced-winter-chilling-projected-california usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Seasonal and decadal projections of growth of Alexandrium in Puget Sound. The circles show average values in the baseline period (2006–2013) and future years averaged by decadal period: 2030 (2025–2035), 2050 (2045–2055), and 2095 (2090–2099). Growth rate values above 0.25_d-1 constitute a bloom of Alexandrium (Figure source: adapted from Jacobs et al. 2015)8640a3db-35fa-4089-8fb5-d52dc8b35c71' chapter_identifier: water-related-illnesses create_dt: 2015-12-11T12:57:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/projections-of-growth-of-alexandrium-in-puget-sound.yaml identifier: projections-of-growth-of-alexandrium-in-puget-sound lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 7 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: 2099-12-31T23:59:59 time_start: 2014-12-31T00:00:00 title: Projections of Growth of Alexandrium in Puget Sound uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses/figure/projections-of-growth-of-alexandrium-in-puget-sound url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: The increasing intensity of storms and the shifting of rainfall patterns toward more spring precipitation in the Midwest may lead to more scenes similar to this one. chapter_identifier: agriculture create_dt: 2013-02-11T10:22:00 href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/water-and-soil.yaml identifier: water-and-soil lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 7 report_identifier: nca3 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Water and Soil uri: /report/nca3/chapter/agriculture/figure/water-and-soil url: http://nca2014.globalchange.gov/report/sectors/agriculture/graphics/runoff-leads-soil-erosion usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: Producers have been installing subsurface drainage to remove more water from the fields. chapter_identifier: agriculture create_dt: 2012-10-12T12:20:00 href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/drainage-tiles.yaml identifier: drainage-tiles lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 8 report_identifier: nca3 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Drainage Tiles uri: /report/nca3/chapter/agriculture/figure/drainage-tiles url: http://nca2014.globalchange.gov/report/sectors/agriculture/graphics/subsurface-drainage-system usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Iowa is the nation’s top corn and soybean producing state. These crops are planted in the spring. Heavy rain can delay planting and create problems in obtaining a good stand of plants, both of which can reduce crop productivity. In Iowa soils with even modest slopes, rainfall of more than 1.25 inches in a single day leads to runoff that causes soil erosion and loss of nutrients and, under some circumstances, can lead to flooding. The figure shows the number of days per year during which more than 1.25 inches of rain fell in Des Moines, Iowa. Recent frequent occurrences of such events are consistent with the significant upward trend of heavy precipitation events documented in the Midwest.0ebef171-4903-4aa6-b436-2936da69f84e,f054a8d1-8992-41ed-bc20-5f56070df30a (Figure source: adapted from Takle 20116b059ace-63ae-4fbe-a3a0-b503970e8bb5).' chapter_identifier: agriculture create_dt: ~ href: http://52.38.26.42:8080/report/nca3/chapter/agriculture/figure/increasing-heavy-downpours-in-iowa.yaml identifier: increasing-heavy-downpours-in-iowa lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 9 report_identifier: nca3 source_citation: 'adapted from Takle 20116b059ace-63ae-4fbe-a3a0-b503970e8bb5' submission_dt: ~ time_end: ~ time_start: ~ title: Increasing Heavy Downpours in Iowa uri: /report/nca3/chapter/agriculture/figure/increasing-heavy-downpours-in-iowa url: http://nca2014.globalchange.gov/report/sectors/agriculture/graphics/increasing-heavy-downpours-iowa usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'The four goals of USGCRP’s 2012–2021 Strategic Plan (circled). Fundamental scientific research provides the foundation for the Program’s decision-support, assessment, and communication and education activities, which in turn help to operationalize the existing knowledge base and continually inform new research priorities.' chapter_identifier: appendices create_dt: ~ href: http://52.38.26.42:8080/report/usgcrp-ocpfy2016/chapter/appendices/figure/relationship-usgcrp-strategic-goals.yaml identifier: relationship-usgcrp-strategic-goals lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 26 report_identifier: usgcrp-ocpfy2016 source_citation: 'Created by the USGCRP National Coordination Office, December 2015 ' submission_dt: ~ time_end: ~ time_start: ~ title: Relationship of USGCRP strategic goals uri: /report/usgcrp-ocpfy2016/chapter/appendices/figure/relationship-usgcrp-strategic-goals url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: USGCRP’s organizational structure. chapter_identifier: appendices create_dt: ~ href: http://52.38.26.42:8080/report/usgcrp-ocpfy2016/chapter/appendices/figure/structure-us-global-change-research-program.yaml identifier: structure-us-global-change-research-program lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 27 report_identifier: usgcrp-ocpfy2016 source_citation: 'Created by the USGCRP National Coordination Office, May 2015' submission_dt: ~ time_end: ~ time_start: ~ title: Structure of the U.S. Global Change Research Program uri: /report/usgcrp-ocpfy2016/chapter/appendices/figure/structure-us-global-change-research-program url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: ~ chapter_identifier: food-access-stability create_dt: ~ href: http://52.38.26.42:8080/report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/trend-us-grain-production-food-security-unemployment.yaml identifier: trend-us-grain-production-food-security-unemployment lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 30 report_identifier: usda-climate-change-global-food-security-us-food-system-2015 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: 'Trend in U.S. grain production, food insecurity, and unemployment' uri: /report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/trend-us-grain-production-food-security-unemployment url: ~ usage_limits: ~ - attributes: ~ caption: ~ chapter_identifier: food-access-stability create_dt: ~ href: http://52.38.26.42:8080/report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/historical-trends-real-agricultural-commodity-prices-world-population.yaml identifier: historical-trends-real-agricultural-commodity-prices-world-population lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 31 report_identifier: usda-climate-change-global-food-security-us-food-system-2015 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Historical trends in real agricultural commodity prices and world population uri: /report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/historical-trends-real-agricultural-commodity-prices-world-population url: ~ usage_limits: ~ - attributes: ~ caption: ~ chapter_identifier: food-access-stability create_dt: ~ href: http://52.38.26.42:8080/report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/mean-price-changes-five-agricultural-models-2050-under-four-scenarios.yaml identifier: mean-price-changes-five-agricultural-models-2050-under-four-scenarios lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 32 report_identifier: usda-climate-change-global-food-security-us-food-system-2015 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Mean price changes of five agricultural models in 2050 under four scenarios uri: /report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/mean-price-changes-five-agricultural-models-2050-under-four-scenarios url: ~ usage_limits: ~ - attributes: ~ caption: ~ chapter_identifier: food-access-stability create_dt: ~ href: http://52.38.26.42:8080/report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/relative-risks-food-access-different-ssps-6.yaml identifier: relative-risks-food-access-different-ssps-6 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 33 report_identifier: usda-climate-change-global-food-security-us-food-system-2015 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Relative risks to food access for different SSPs uri: /report/usda-climate-change-global-food-security-us-food-system-2015/chapter/food-access-stability/figure/relative-risks-food-access-different-ssps-6 url: ~ usage_limits: ~ - attributes: ~ caption: 'The food system involves a network of interactions with our physical and biological environments as food moves from production to consumption, or from “farm to table.” Rising CO2 and climate change will affect the quality and distribution of food, with subsequent effects on food safety and nutrition.' chapter_identifier: food-safety-nutrition-and-distribution create_dt: 2014-11-20T00:00:00 href: http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/food-safety-nutrition-and-distribution/figure/farm-to-table.yaml identifier: farm-to-table lat_max: N/A lat_min: N/A lon_max: N/A lon_min: N/A ordinal: 1 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Farm to Table uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/food-safety-nutrition-and-distribution/figure/farm-to-table url: ~ usage_limits: Free to use with credit to the original figure source.