---
- attributes: ~
caption: ~
chapter_identifier: alaska-infrastructure
create_dt: 2017-09-25T18:19:04
href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure/figure/effect-of-adaptation-on-vulnerability.yaml
identifier: effect-of-adaptation-on-vulnerability
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 4
report_identifier: epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017
source_citation: ~
submission_dt: 2017-09-26T21:15:16
time_end: ~
time_start: ~
title: Effect of Adaptation on Vulnerability
uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure/figure/effect-of-adaptation-on-vulnerability
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: 'Trends in surface (< 50 m) ocean carbonate chemistry calculated from observations obtained at the Hawai‘i Ocean Time-series (HOT) Program in the North Pacific over 1988–2015. The upper panel shows the linked increase in atmospheric (red points) and seawater (blue points) CO2 concentrations. The bottom panel shows a decline in seawater pH (black points, primary y-axis) and carbonate ion concentration (green points, secondary y-axis). Ocean chemistry data were obtained from the Hawai‘i Ocean Time-series Data Organization & Graphical System (HOT-DOGS, http://hahana.soest.hawaii.edu). (Figure source: NOAA).'
chapter_identifier: ocean-acidification
create_dt: 2016-09-02T17:01:38
href: https://data.globalchange.gov/report/climate-science-special-report/chapter/ocean-acidification/figure/hot-data-20160721.yaml
identifier: hot-data-20160721
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 4
report_identifier: climate-science-special-report
source_citation: ~
submission_dt: 2017-10-31T16:44:43
time_end: ~
time_start: ~
title: Ocean Carbonate Chemistry
uri: /report/climate-science-special-report/chapter/ocean-acidification/figure/hot-data-20160721
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: ~
chapter_identifier: illinois
create_dt: 2015-04-13T00:00:00
href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-observed-spring-precipitation.yaml
identifier: il-observed-spring-precipitation
lat_max: 42.5084
lat_min: 36.9701
lon_max: -91.5129
lon_min: -87.4952
ordinal: 4a
report_identifier: noaa-led-state-summaries-2017
source_citation: ~
submission_dt: ~
time_end: 2014-12-31T00:00:00
time_start: 1895-01-01T00:00:00
title: Observed Spring Precipitation
uri: /report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-observed-spring-precipitation
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: ~
chapter_identifier: illinois
create_dt: 2015-04-13T00:00:00
href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-observed-summer-precipitation.yaml
identifier: il-observed-summer-precipitation
lat_max: 42.5084
lat_min: 36.9701
lon_max: -91.5129
lon_min: -87.4952
ordinal: 4b
report_identifier: noaa-led-state-summaries-2017
source_citation: ~
submission_dt: ~
time_end: 2014-12-31T00:00:00
time_start: 1895-01-01T00:00:00
title: Observed Summer Precipitaton
uri: /report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-observed-summer-precipitation
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Predicted change in sea surface pH in 2090–2099 relative to 1990–1999 under the higher scenario (RCP8.5), based on the Community Earth System Models–Large Ensemble Experiments CMIP5 (Figure source: adapted from Bopp et al. 2013fa10bfab-8f7c-4d8c-8435-8284a05d78e5).'
chapter_identifier: ocean-acidification
create_dt: 2016-11-11T21:55:22
href: https://data.globalchange.gov/report/climate-science-special-report/chapter/ocean-acidification/figure/acidif_future_fig3.yaml
identifier: acidif_future_fig3
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 5
report_identifier: climate-science-special-report
source_citation: ~
submission_dt: 2017-09-01T20:59:47
time_end: ~
time_start: ~
title: Surface pH in 2090s
uri: /report/climate-science-special-report/chapter/ocean-acidification/figure/acidif_future_fig3
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: |+2
Figure 5: The observed number of days with extreme precipitation events (annual number of days with precipitation greater than 2 inches) for 1900–2014, averaged over 5-year periods; these values are averages from 43 available long-term reporting stations. A typical station experiences 1–2 such events each year. The number of extreme precipitation events has been above average since the 1990s. During the most recent 5-year period (2010–2014), Illinois experienced a record high number of events when stations averaged more than 2 events annually. The dark horizontal line is the long-term average (1900–2014) of 1.62 days per year. Source: CICS-NC and NOAA NCEI.
chapter_identifier: illinois
create_dt: 2015-04-13T00:00:00
href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-observed-number-of-extreme-precipitation-events.yaml
identifier: il-observed-number-of-extreme-precipitation-events
lat_max: 42.5084
lat_min: 36.9701
lon_max: -91.5129
lon_min: -87.4952
ordinal: 5
report_identifier: noaa-led-state-summaries-2017
source_citation: ~
submission_dt: ~
time_end: 2014-12-31T00:00:00
time_start: 1900-01-01T00:00:00
title: Observed Number of Extreme Precipitation Events
uri: /report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-observed-number-of-extreme-precipitation-events
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Predicted change in dissolved oxygen on the σθ = 26.5 (average depth of approximately 290 m) potential density surface, between the 1981–2000 and 2081–2100, based on the Community Earth System Models–Large Ensemble Experiments (Figure source: redrawn from Long et al. 2016d04b2c86-5ca0-42e0-9792-2f319c15cd7e).'
chapter_identifier: ocean-acidification
create_dt: 2016-09-02T17:01:07
href: https://data.globalchange.gov/report/climate-science-special-report/chapter/ocean-acidification/figure/04-state-map-change-o2-iage.yaml
identifier: 04-state-map-change-o2-iage
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 6
report_identifier: climate-science-special-report
source_citation: ~
submission_dt: 2017-09-14T18:32:44
time_end: ~
time_start: ~
title: Dissolved Oxygen
uri: /report/climate-science-special-report/chapter/ocean-acidification/figure/04-state-map-change-o2-iage
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: |+2
Long-term annual time series of the average water levels for Lake Michigan-Huron. Water levels in the Great Lakes have fluctuated widely over the years. Lake Michigan-Huron has shown a statistically significant downward trend over the past 150 years. The trend is largely due to the high levels early in the period and extremely low levels during the 21st century. Source: NOAA NOS and Canadian Hydrographic Service.
chapter_identifier: illinois
create_dt: 2014-04-24T11:41:00
href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-annual-lake-wide-average-water-levels-for-lake-michigan-huron.yaml
identifier: il-annual-lake-wide-average-water-levels-for-lake-michigan-huron
lat_max: 42.5084
lat_min: 36.9701
lon_max: -91.5129
lon_min: -87.4952
ordinal: 6
report_identifier: noaa-led-state-summaries-2017
source_citation: ~
submission_dt: ~
time_end: 2015-04-30T00:00:00
time_start: 1860-01-01T00:00:00
title: Annual Lake-Wide Average Water Levels for Lake Michigan-Huron
uri: /report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-annual-lake-wide-average-water-levels-for-lake-michigan-huron
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Projected change in spring precipitation (%) for the middle of the 21st century compared to the late 20th century under a higher emissions pathway. Hatching represents areas where the majority of climate models indicate a statistically significant change. Spring precipitation in Illinois is projected to increase in the range of 10–20% by 2050. These increases are part of a large area of projected increases across the northern United States. Source: CICS-NC, NOAA NCEI, and NEMAC.'
chapter_identifier: illinois
create_dt: 2019-02-15T18:20:07
href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-projected-change-in-spring-precipitation.yaml
identifier: il-projected-change-in-spring-precipitation
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 8
report_identifier: noaa-led-state-summaries-2017
source_citation: ~
submission_dt: 2019-06-11T12:29:54
time_end: 2070-12-31T00:00:00
time_start: 1971-01-01T00:00:00
title: Projected Change in Spring Precipitation
uri: /report/noaa-led-state-summaries-2017/chapter/illinois/figure/il-projected-change-in-spring-precipitation
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: 'These wetland types are organic forested, organic nonforested, mineral forested, and mineral nonforested.'
chapter_identifier: appendix-13a-terrestrial-wetland-area-and-carbon-pools
create_dt: 2018-02-12T21:58:13
href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/appendix-13a-terrestrial-wetland-area-and-carbon-pools/figure/appendix-fig-13-1.yaml
identifier: appendix-fig-13-1
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 1
report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report
source_citation: ~
submission_dt: 2019-03-15T13:32:40
time_end: ~
time_start: ~
title: Fig. 13A.1. Areal Distribution Among U.S. States of the Four Categories of Freshwater Terrestrial Wetlands
uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/appendix-13a-terrestrial-wetland-area-and-carbon-pools/figure/appendix-fig-13-1
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: "These wetland types\r\nare forest organic soil, forest mineral soil, nonforest organic soil, and nonforest mineral soil."
chapter_identifier: appendix-13a-terrestrial-wetland-area-and-carbon-pools
create_dt: 2018-02-14T21:20:42
href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/appendix-13a-terrestrial-wetland-area-and-carbon-pools/figure/figure-13a-2--distribution-of-the-four-terrestrial-wetland-categories--e-g---forest--nonforest--organic-soil--mineral-soil--in-alaska-.yaml
identifier: figure-13a-2--distribution-of-the-four-terrestrial-wetland-categories--e-g---forest--nonforest--organic-soil--mineral-soil--in-alaska-
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 2
report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report
source_citation: ~
submission_dt: 2019-03-22T18:08:25
time_end: ~
time_start: ~
title: Fig. 13A.2. Areal Distribution in Alaska of the Four Categories of Terrestrial Wetlands
uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/appendix-13a-terrestrial-wetland-area-and-carbon-pools/figure/figure-13a-2--distribution-of-the-four-terrestrial-wetland-categories--e-g---forest--nonforest--organic-soil--mineral-soil--in-alaska-
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: "Allochthonous carbon represents organic and\r\ninorganic carbon, including dissolved carbon dioxide (CO2), that enters aquatic environments from terrestrial systems.\r\nAutochthonous carbon originates from primary and secondary production that uses either atmospheric CO2 or\r\ndissolved inorganic carbon from the aquatic environment. Primary production within autotrophic systems is responsible\r\nfor the net uptake of atmospheric CO2, while respiration and allochthonous inputs of carbon within a heterotrophic\r\nsystem are responsible for a net CO2 emission to the atmosphere. Burial represents the deposition of autochthonous\r\nand allochthonous particulate carbon."
chapter_identifier: inland-waters
create_dt: 2018-04-23T16:25:13
href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/inland-waters/figure/14-2-carbon-in-the-aquatic-environment--still-a-draft.yaml
identifier: 14-2-carbon-in-the-aquatic-environment--still-a-draft
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 1
report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report
source_citation: ~
submission_dt: 2019-02-11T16:52:51
time_end: ~
time_start: ~
title: Carbon Flux Pathways in Aquatic Environments
uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/inland-waters/figure/14-2-carbon-in-the-aquatic-environment--still-a-draft
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: "This conceptual diagram illustrates the exposure pathways by which climate change could affect human health. Exposure pathways exist within the context of other factors that positively or negatively influence health outcomes (gray side boxes). Key factors that influence vulnerability for individuals are shown in the right box and include social determinants of health and behavioral choices. Key factors that influence vulnerability at larger scales, such as natural and built environments, governance and management, and institutions, are shown in the left box. The extent to which climate change could alter the burden of disease in any location at any point in time will depend not just on the magnitude of local climate change but also on individual and population vulnerability, exposure to changing weather patterns, and capacity to manage risks, which may also be affected by climate change. Source: Balbus et al. 2016.{{< tbib '2' '6b118a80-8335-4c02-91cf-762c8bb14301' >}}"
chapter_identifier: human-health
create_dt: 2018-04-06T19:09:27
href: https://data.globalchange.gov/report/nca4/chapter/human-health/figure/climate-change-and-health.yaml
identifier: climate-change-and-health
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 1
report_identifier: nca4
source_citation: ~
submission_dt: 2018-11-23T14:45:50
time_end: ~
time_start: ~
title: Climate Change and Health
uri: /report/nca4/chapter/human-health/figure/climate-change-and-health
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: ~
chapter_identifier: urban-drainage
create_dt: 2017-05-10T15:42:14
href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/urban-drainage/figure/figure-14-1.yaml
identifier: figure-14-1
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 1
report_identifier: epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017
source_citation: ~
submission_dt: 2017-10-17T21:00:37
time_end: ~
time_start: ~
title: Projected Regional Proactive Adaptation Costs for Urban Drainage Infrastructure
uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/urban-drainage/figure/figure-14-1
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: |+2
Observed and projected changes (compared to the 1901–1960 average) in near-surface air temperature for Indiana. Observed data are for 1900–2014. Projected changes for 2006–2100 are from global climate models for two possible futures: one in which greenhouse gas emissions continue to increase (higher emissions) and another in which greenhouse gas emissions increase at a slower rate (lower emissions). Temperatures in Indiana (orange line) have risen about 1°F since the beginning of the 20th century. Shading indicates the range of annual temperatures from the set of models. Observed temperatures are generally within the envelope of model simulations of the historical period (gray shading). Historically unprecedented warming is projected during the 21st century. Less warming is expected under a lower emissions future (the coldest years being about as warm as the hottest year in the historical record; green shading) and more warming under a higher emissions future (the hottest years being about 11°F warmer than the hottest year in the historical record; red shading). Source: CICS-NC and NOAA NCEI.
chapter_identifier: indiana
create_dt: 2015-08-12T00:00:00
href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/indiana/figure/in-observed-and-projected-temperature-change.yaml
identifier: in-observed-and-projected-temperature-change
lat_max: 41.7607
lat_min: 37.7717
lon_max: -88.0975
lon_min: -84.7846
ordinal: 1
report_identifier: noaa-led-state-summaries-2017
source_citation: ~
submission_dt: ~
time_end: 2100-12-31T00:00:00
time_start: 1900-01-01T00:00:00
title: Observed and Projected Temperature Change
uri: /report/noaa-led-state-summaries-2017/chapter/indiana/figure/in-observed-and-projected-temperature-change
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Although the majority of the U.S. population lives in urban areas, most of the country is still classified as rural. In this map, counties are classified as rural if they do not include any cities with populations of 50,000 or more. (Figure source: USDA Economic Research Service 20135a9e656f-8a8f-497e-b11d-85db13fe4b4b).'
chapter_identifier: rural
create_dt: 2014-03-19T13:27:00
href: https://data.globalchange.gov/report/nca3/chapter/rural/figure/rural-counties.yaml
identifier: rural-counties
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 1
report_identifier: nca3
source_citation: 'USDA Economic Research Service 20135a9e656f-8a8f-497e-b11d-85db13fe4b4b'
submission_dt: ~
time_end: ~
time_start: ~
title: Rural Counties
uri: /report/nca3/chapter/rural/figure/rural-counties
url: http://nca2014.globalchange.gov/report/sectors/rural-communities/graphics/rural-counties
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Global mean temperature change for a number of scenarios as a function of cumulative CO2 emissions from preindustrial conditions, with time progressing along each individual line for each scenario. (Figure source: IPCC 2013;2ad39d48-c8d4-46cf-9a5c-0bc65a4da57c ©IPCC. Used with permission).'
chapter_identifier: mitigation-pathways
create_dt: 2016-10-14T20:50:04
href: https://data.globalchange.gov/report/climate-science-special-report/chapter/mitigation-pathways/figure/temp-change-vs--co2-emissions.yaml
identifier: temp-change-vs--co2-emissions
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 1
report_identifier: climate-science-special-report
source_citation: ~
submission_dt: 2017-09-05T13:20:58
time_end: ~
time_start: ~
title: Cumulative Total Anthropogenic C02 Emissions from 1870
uri: /report/climate-science-special-report/chapter/mitigation-pathways/figure/temp-change-vs--co2-emissions
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Much of the rural United States depends on agriculture, mining, and manufacturing. Climate changes will affect each region and each economic sector in complex and interrelated ways. The economic dependence classification used in the map indicates the largest share of earnings and employment in each county. (Figure source: USDA Economic Research Service 20135a9e656f-8a8f-497e-b11d-85db13fe4b4b).'
chapter_identifier: rural
create_dt: 2014-03-19T13:26:00
href: https://data.globalchange.gov/report/nca3/chapter/rural/figure/economic-dependence-varies-by-region.yaml
identifier: economic-dependence-varies-by-region
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 2
report_identifier: nca3
source_citation: 'USDA Economic Research Service 2013 5a9e656f-8a8f-497e-b11d-85db13fe4b4b'
submission_dt: ~
time_end: ~
time_start: ~
title: Economic Dependence Varies by Region
uri: /report/nca3/chapter/rural/figure/economic-dependence-varies-by-region
url: http://nca2014.globalchange.gov/report/sectors/rural-communities/graphics/economic-dependence-varies-region
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Global CO2 emissions and probabilistic temperature outcomes of government announcements associated with the lead up to the Paris climate conference. (a) Global CO2 emissions from energy and industry (includes CO2 emissions from all fossil fuel production and use and industrial processes such as cement manufacture that also produce CO2 as a byproduct) for emissions pathways following no policy, current policy, meeting the governments’ announcements with constant country decarbonization rates past 2030, and meeting the governments’ announcements with higher rates of decarbonization past 2030. INDCs refer to Intended Nationally Determined Contributions which is the term used for the governments’ announced actions in the lead up to Paris. (b) Likelihoods of different levels of increase in global mean surface temperature during the 21st century relative to preindustrial levels for the four scenarios. Although (a) shows only CO2 emissions from energy and industry, temperature outcomes are based on the full suite of GHG, aerosol, and short-lived species emissions across the full set of human activities and physical Earth systems. (Figure source: Fawcett et al. 20152c0a368b-b699-4640-98c9-7799c9e6b18a ).'
chapter_identifier: mitigation-pathways
create_dt: 2016-10-14T20:49:23
href: https://data.globalchange.gov/report/climate-science-special-report/chapter/mitigation-pathways/figure/emissions-pathways---temp-possibilities.yaml
identifier: emissions-pathways---temp-possibilities
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 2
report_identifier: climate-science-special-report
source_citation: ~
submission_dt: 2017-09-05T15:35:40
time_end: ~
time_start: ~
title: Global CO2 emissions and probabilistic temperature outcomes of Paris
uri: /report/climate-science-special-report/chapter/mitigation-pathways/figure/emissions-pathways---temp-possibilities
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: 'Examples of populations at higher risk of exposure to adverse climate-related health threats are shown along with adaptation measures that can help address disproportionate impacts. When considering the full range of threats from climate change as well as other environmental exposures, these groups are among the most exposed, most sensitive, and have the least individual and community resources to prepare for and respond to health threats. White text indicates the risks faced by those communities, while dark text indicates actions that can be taken to reduce those risks. Source: EPA.'
chapter_identifier: human-health
create_dt: 2018-03-30T23:52:32
href: https://data.globalchange.gov/report/nca4/chapter/human-health/figure/fig--14-x-vulnerable-populations-km2.yaml
identifier: fig--14-x-vulnerable-populations-km2
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 2
report_identifier: nca4
source_citation: ~
submission_dt: 2018-11-23T14:45:44
time_end: ~
time_start: ~
title: Vulnerable Populations
uri: /report/nca4/chapter/human-health/figure/fig--14-x-vulnerable-populations-km2
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: "All values\r\nrepresent total fluxes in teragrams of carbon (Tg C) per year. River fluxes represent total carbon fluxes to the point of\r\nthe head of tide, or the highest flow gaging station not influenced by tidal movement. Individual fluxes from different\r\nland uses are not quantified but represented by the mass balance of all aquatic carbon fluxes. The total flux (see\r\nEquation 14.1, p. 571) is 193 Tg C per year. Further information regarding estimates of uncertainty are presented in\r\nStackpoole et al. (2017a) and Butman et al. (2016)."
chapter_identifier: inland-waters
create_dt: 2018-02-06T17:14:58
href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/inland-waters/figure/schematic-representation-of-the-fluxes-of-carbon-from-inland-waters-of-the-conterminous-united-states-and-alaska.yaml
identifier: schematic-representation-of-the-fluxes-of-carbon-from-inland-waters-of-the-conterminous-united-states-and-alaska
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 2
report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report
source_citation: ~
submission_dt: 2019-02-11T16:52:57
time_end: ~
time_start: ~
title: Carbon Fluxes from Inland Waters of the Conterminous United States and Alaska
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