LandCarbon Active
Great Plains region of the United States
Baseline and projected future carbon storage and greenhouse-gas fluxes
Ecosystems of the Western United States
Baseline and projected future carbon storage and greenhouse-gas fluxes
Ecosystems of the eastern United States
Baseline and projected future carbon storage and greenhouse-gas fluxes
Ecosystems of Alaska
Baseline and projected future carbon storage and greenhouse-gas fluxes
The biologic carbon sequestration assessment program (LandCarbon) investigates ecosystem carbon cycle problems and develops carbon management science and monitoring methods.
Specifically, LandCarbon is focused on the following research areas:
- Synthesize and assess current and potential carbon balance (stocks and fluxes) in major terrestrial and aquatic ecosystems
- Evaluate the effects of both natural and anthropogenic driving forces on ecosystem carbon balance and greenhouse gas fluxes
- Develop carbon monitoring methods and capabilities
- Conduct research and provide science support for increasing carbon sequestration in land management policies and practices
Since 2010, the USGS has:
- Released a methodology for the national assessment of biologic carbon sequestration (USGS Scientific Investigations Report 5233)
- Completed the assessment for the conterminous United States divided into three regional reports (USGS Professional Papers 1787- Great Plains, 1797- Western US, and 1804- Eastern US), and Alaska and Hawaii separately
- Developed and released a LandCarbon website for data distribution and visualization.
Additionally, a number of research papers have been published in leading journals by USGS and academic scientists supported by the program.
Going forward, the new focus of the program is in two priority areas:
- Synthesis and assessment linking ecosystem carbon balance with natural and anthropogenic processes as well as carbon management
- Carbon sequestration application studies in support of Department of the Interior land management decision making
Activities:
Aquatic Systems
The USGS investigates the amount of carbon burial, emissions, and export taking place in the aquatic ecosystems of the United States. Data analysis and modeling are used to identify the controls on greenhouse gas emissions from lakes and rivers, as well as the magnitude of carbon burial in sediments. Linkages between land use and carbon cycling in nearby aquatic habitats are being characterized in order to understand the effects of human activity such as agriculture and development on aquatic carbon cycling. Carbon export to the coastal ocean is also being quantified, and ecosystem models will describe the movement of continental carbon exports through the coastal food web.
Inland aquatic ecosystems (rivers, lakes, ponds, and reservoirs) play several important roles in the carbon cycle. Carbon that has been fixed via terrestrial primary production and processed in the soil is exported to surface water as both organic and mineral carbon compounds. In the aquatic environment, organic carbon compounds are respired (converted to CO2) by bacteria. This process can lead to a greater concentration of CO2 in the water than in the air (supersaturation), which results in "degassing", or emission of CO2 to the atmosphere. At the same time, plants and algae in aquatic ecosystems take up CO2 for photosynthesis. As it moves through the food web, most of this carbon is ultimately converted back to CO2 by respiration, but some of it can be buried in sediments. Anaerobic decomposition of carbon buried in sediments can create CH4, another greenhouse gas, which can also escape to the atmosphere. River systems transport carbon, originating from both terrestrial and aquatic systems, to the coastal ocean, where it is then further processed (emitted as greenhouse gases, buried in sediments, or transported offshore).
Carbon Sequestration Assessment
According to the newly completed the 2nd State of Carbon Cycle Report (), Terrestrial and aquatic ecosystems in the United States are a significant carbon sinks, taking up approximately a quarter of the nation’s CO2 emissions. The ecosystem carbon sink can be highly variable over space and time due to natural disturbances and land use decisions (Goodale and others, 2002)). Fire, for example, is a disturbance that affects a forest's carbon storage and has effects of both releasing CO2 and CH4 back into the atmosphere and strengthening a forest ecosystem's ability to increase sequestration over the long-term. USGS conducts synthesis and assessment of carbon sequestration processes and long-term balances of major ecosystems including forests, croplands, grasslands, and wetlands in relation to both natural and anthropogenic driving forces.
Ecosystem Disturbances – Wildland Fire
Ecosystem disturbance modeling and emission estimation produces spatially-explicit forecasts of fire patterns, and the resulting greenhouse gas emissions for U.S biomes. At the heart of the approach is a series of statistical and process-based models, coded in C++, that simulate processes of fire ignition, spread, and emissions. Patterns of historic ignitions are characterized using logistic regressions that relate ignition location to daily fuel moisture conditions, as well as, vegetation type and urban extent. These ignition models are used to determine when and where ignitions are located under stable or changing climate scenarios. Once ignitions are located, the area burned is determined by allowing each ignition to spread using the minimum travel time algorithm. After fire spread is complete, emissions are calculated using the FOFEM and CONSUME models.
Vegetation, fuels, daily weather, and fuel moisture data are critical to disturbance simulations. Vegetation and fuels data are provided by the LANDFIRE project. The daily weather data we use have 12 km spatial resolution and span from 1950 to 2010. For future climate-change scenarios, we randomly resample annual sequences of historic daily weather and rescale them to match the monthly means provided by downscaled climate-change forecasts. Fuel moistures and fire behavior indices are calculated for both historic and forecast daily weather using the National Fire Danger Rating System and then used as predictor variables for ignition locations, fire spread, and fire emissions.
Future Scenarios and land use modeling
To study potential changes in land use, land cover and land management in the future United States, USGS has incorporated probable scenarios as defined by the Intergovernmental Panel on Climate Change (IPCC) in its fourth and fifth assessment reports (AR4 and AR5), which lists major driving forces of future emissions, including changes in demographic, technological and economic developments. To be able to incorporate these scenario assumptions into ongoing research and to produce nationally and regionally unique future potential land use and land cover scenarios, data on historical land-cover change from USGS and information derived from a global integrated assessment model are used in conjunction with expert analysis to 1) downscale scenario narrative storylines to national and sub-national scales, and 2) develop quantitative regional projections of LULC change for major land-use sectors of the conterminous United States. Results of this process are a set of quantitative future scenarios for specific land use and land cover classes, unique at both national and regional scales.
There are large uncertainties in how land and climate systems will evolve and interact to shape future ecosystem carbon dynamics. To address this uncertainty, we developed the Land-Use and Carbon Scenario Simulator (LUCAS) to track changes in land use, land cover, land management, and disturbance, and their impact on ecosystem carbon storage and flux. The LUCAS model combines a state-and-transition simulation model (STSM) for modeling land-change with a stock and flow model for modeling carbon dynamics, within a scenario-based framework. These two models were developed in conjunction within the ST-SIM modeling environment to provide a complete package for testing a range of future scenarios of land-use change and their impacts on carbon dynamics. Land-use change scenarios developed from the Intergovernmental Panel on Climate Change's (IPCC) Special Report on Emission Scenarios (SRES), and Representative Concentration Pathways (RCPs), as well as scenarios developed from historical land-use change datasets that include a range of mitigation and adaptation policies can be applied in the model.
Below are data releases associated with this project.
Below are publications associated with this project.
Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean
Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Carbon dioxide fluxes reflect plant zonation and belowground biomass in a coastal marsh
Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada
Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean
Spatial differences in hydrologic characteristics and water chemistry of a temperate coastal plain peatland: The Great Dismal Swamp, USA
Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height
Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China
Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing
Estimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010
State-and-transition simulation models: a framework for forecasting landscape change
Assessing wildlife benefits and carbon storage from restored and natural coastal marshes in the Nisqually River Delta: Determining marsh net ecosystem carbon balance
- Overview
The biologic carbon sequestration assessment program (LandCarbon) investigates ecosystem carbon cycle problems and develops carbon management science and monitoring methods.
Specifically, LandCarbon is focused on the following research areas:
- Synthesize and assess current and potential carbon balance (stocks and fluxes) in major terrestrial and aquatic ecosystems
- Evaluate the effects of both natural and anthropogenic driving forces on ecosystem carbon balance and greenhouse gas fluxes
- Develop carbon monitoring methods and capabilities
- Conduct research and provide science support for increasing carbon sequestration in land management policies and practices
Since 2010, the USGS has:
- Released a methodology for the national assessment of biologic carbon sequestration (USGS Scientific Investigations Report 5233)
- Completed the assessment for the conterminous United States divided into three regional reports (USGS Professional Papers 1787- Great Plains, 1797- Western US, and 1804- Eastern US), and Alaska and Hawaii separately
- Developed and released a LandCarbon website for data distribution and visualization.
Additionally, a number of research papers have been published in leading journals by USGS and academic scientists supported by the program.
Going forward, the new focus of the program is in two priority areas:
- Synthesis and assessment linking ecosystem carbon balance with natural and anthropogenic processes as well as carbon management
- Carbon sequestration application studies in support of Department of the Interior land management decision making
Activities:
Aquatic Systems
The USGS investigates the amount of carbon burial, emissions, and export taking place in the aquatic ecosystems of the United States. Data analysis and modeling are used to identify the controls on greenhouse gas emissions from lakes and rivers, as well as the magnitude of carbon burial in sediments. Linkages between land use and carbon cycling in nearby aquatic habitats are being characterized in order to understand the effects of human activity such as agriculture and development on aquatic carbon cycling. Carbon export to the coastal ocean is also being quantified, and ecosystem models will describe the movement of continental carbon exports through the coastal food web.
Inland aquatic ecosystems (rivers, lakes, ponds, and reservoirs) play several important roles in the carbon cycle. Carbon that has been fixed via terrestrial primary production and processed in the soil is exported to surface water as both organic and mineral carbon compounds. In the aquatic environment, organic carbon compounds are respired (converted to CO2) by bacteria. This process can lead to a greater concentration of CO2 in the water than in the air (supersaturation), which results in "degassing", or emission of CO2 to the atmosphere. At the same time, plants and algae in aquatic ecosystems take up CO2 for photosynthesis. As it moves through the food web, most of this carbon is ultimately converted back to CO2 by respiration, but some of it can be buried in sediments. Anaerobic decomposition of carbon buried in sediments can create CH4, another greenhouse gas, which can also escape to the atmosphere. River systems transport carbon, originating from both terrestrial and aquatic systems, to the coastal ocean, where it is then further processed (emitted as greenhouse gases, buried in sediments, or transported offshore).
Carbon Sequestration Assessment
According to the newly completed the 2nd State of Carbon Cycle Report (), Terrestrial and aquatic ecosystems in the United States are a significant carbon sinks, taking up approximately a quarter of the nation’s CO2 emissions. The ecosystem carbon sink can be highly variable over space and time due to natural disturbances and land use decisions (Goodale and others, 2002)). Fire, for example, is a disturbance that affects a forest's carbon storage and has effects of both releasing CO2 and CH4 back into the atmosphere and strengthening a forest ecosystem's ability to increase sequestration over the long-term. USGS conducts synthesis and assessment of carbon sequestration processes and long-term balances of major ecosystems including forests, croplands, grasslands, and wetlands in relation to both natural and anthropogenic driving forces.
Ecosystem Disturbances – Wildland Fire
Ecosystem disturbance modeling and emission estimation produces spatially-explicit forecasts of fire patterns, and the resulting greenhouse gas emissions for U.S biomes. At the heart of the approach is a series of statistical and process-based models, coded in C++, that simulate processes of fire ignition, spread, and emissions. Patterns of historic ignitions are characterized using logistic regressions that relate ignition location to daily fuel moisture conditions, as well as, vegetation type and urban extent. These ignition models are used to determine when and where ignitions are located under stable or changing climate scenarios. Once ignitions are located, the area burned is determined by allowing each ignition to spread using the minimum travel time algorithm. After fire spread is complete, emissions are calculated using the FOFEM and CONSUME models.Vegetation, fuels, daily weather, and fuel moisture data are critical to disturbance simulations. Vegetation and fuels data are provided by the LANDFIRE project. The daily weather data we use have 12 km spatial resolution and span from 1950 to 2010. For future climate-change scenarios, we randomly resample annual sequences of historic daily weather and rescale them to match the monthly means provided by downscaled climate-change forecasts. Fuel moistures and fire behavior indices are calculated for both historic and forecast daily weather using the National Fire Danger Rating System and then used as predictor variables for ignition locations, fire spread, and fire emissions.
Future Scenarios and land use modeling
To study potential changes in land use, land cover and land management in the future United States, USGS has incorporated probable scenarios as defined by the Intergovernmental Panel on Climate Change (IPCC) in its fourth and fifth assessment reports (AR4 and AR5), which lists major driving forces of future emissions, including changes in demographic, technological and economic developments. To be able to incorporate these scenario assumptions into ongoing research and to produce nationally and regionally unique future potential land use and land cover scenarios, data on historical land-cover change from USGS and information derived from a global integrated assessment model are used in conjunction with expert analysis to 1) downscale scenario narrative storylines to national and sub-national scales, and 2) develop quantitative regional projections of LULC change for major land-use sectors of the conterminous United States. Results of this process are a set of quantitative future scenarios for specific land use and land cover classes, unique at both national and regional scales.There are large uncertainties in how land and climate systems will evolve and interact to shape future ecosystem carbon dynamics. To address this uncertainty, we developed the Land-Use and Carbon Scenario Simulator (LUCAS) to track changes in land use, land cover, land management, and disturbance, and their impact on ecosystem carbon storage and flux. The LUCAS model combines a state-and-transition simulation model (STSM) for modeling land-change with a stock and flow model for modeling carbon dynamics, within a scenario-based framework. These two models were developed in conjunction within the ST-SIM modeling environment to provide a complete package for testing a range of future scenarios of land-use change and their impacts on carbon dynamics. Land-use change scenarios developed from the Intergovernmental Panel on Climate Change's (IPCC) Special Report on Emission Scenarios (SRES), and Representative Concentration Pathways (RCPs), as well as scenarios developed from historical land-use change datasets that include a range of mitigation and adaptation policies can be applied in the model.
- Data
Below are data releases associated with this project.
- Publications
Below are publications associated with this project.
Filter Total Items: 145Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean
Riverine exports of organic and inorganic carbon (OC, IC) to oceans are intricately linked to processes occurring on land. Across high latitudes, thawing permafrost, alteration of hydrologic flow paths, and changes in vegetation may all affect this flux, with subsequent implications for regional and global carbon (C) budgets. Using a unique, multi-decadal dataset of continuous discharge coupled wiAuthorsSuzanne E. Tank, Robert G. Striegl, James W. McClelland, Steven V. KokeljForecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Reducing uncertainty in data inputs at relevant spatial scales can improve tidal marsh forecasting models, and their usefulness in coastal climate change adaptation decisions. The Marsh Equilibrium Model (MEM), a one-dimensional mechanistic elevation model, incorporates feedbacks of organic and inorganic inputs to project elevations under sea-level rise scenarios. We tested the feasibility of deriAuthorsKristin B. Byrd, Lisamarie Windham-Myers, Thomas Leeuw, Bryan D. Downing, James T. Morris, Matthew C. FernerCarbon dioxide fluxes reflect plant zonation and belowground biomass in a coastal marsh
Coastal wetlands are major global carbon sinks; however, they are heterogeneous and dynamic ecosystems. To characterize spatial and temporal variability in a New England salt marsh, greenhouse gas (GHG) fluxes were compared among major plant‐defined zones during growing seasons. Carbon dioxide (CO2) and methane (CH4) fluxes were compared in two mensurative experiments during summer months (2012–20AuthorsSerena Moseman-Valtierra, Omar I. Abdul-Aziz, Jianwu Tang, Khandker S. Ishtiaq, Kate Morkeski, Jordan Mora, Ryan K. Quinn, Rose M. Martin, Katharine Egan, Elizabeth Q. Brannon, Joanna C. Carey, Kevin D. KroegerConsequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada
Changes in vegetation and snow cover may lead to feedbacks to climate through changes in surface albedo and energy fluxes between the land and atmosphere. In addition to these biogeophysical feedbacks, biogeochemical feedbacks associated with changes in carbon (C) storage in the vegetation and soils may also influence climate. Here, using a transient biogeographic model (ALFRESCO) and an ecosystemAuthorsEugénie S. Euskirchen, A. P. Bennett, Amy L. Breen, Helene Genet, Michael A. Lindgren, Tom Kurkowski, A. David McGuire, T. Scott RuppIntertidal salt marshes as an important source of inorganic carbon to the coastal ocean
Dynamic tidal export of dissolved inorganic carbon (DIC) to the coastal ocean from highly productive intertidal marshes and its effects on seawater carbonate chemistry are thoroughly evaluated. The study uses a comprehensive approach by combining tidal water sampling of CO2parameters across seasons, continuous in situ measurements of biogeochemically-relevant parameters and water fluxes, with highAuthorsZhaohui Aleck Wang, Kevin D. Kroeger, Neil K. Ganju, Meagan Gonneea Eagle, Sophie N. ChuSpatial differences in hydrologic characteristics and water chemistry of a temperate coastal plain peatland: The Great Dismal Swamp, USA
Spatial differences in hydrologic processes and geochemistry across forested peatlands control the response of the wetland-community species and resiliency to natural and anthropogenic disturbances. Knowing these controls is essential to effectively managing peatlands as resilient wetland habitats. The Great Dismal Swamp is a 45,325 hectare peatland in the Atlantic Coastal Plain of Virginia and NoAuthorsGary K. Speiran, Frederick C. WursterTotal belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height
In forests, total belowground carbon (C) flux (TBCF) is a large component of the C budget and represents a critical pathway for delivery of plant C to soil. Reducing uncertainty around regional estimates of forest C cycling may be aided by incorporating knowledge of controls over soil respiration and TBCF. Photosynthesis, and presumably TBCF, declines with advancing tree size and age, and photosynAuthorsErin Michele Berryman, Michael G. Ryan, John B. Bradford, Todd Hawbaker, R. BirdseyInter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China
Global management of wetlands to suppress greenhouse gas (GHG) emissions, facilitate carbon (C) sequestration, and reduce atmospheric CO2 concentrations while simultaneously promoting agricultural gains is paramount. However, studies that relate variability in CO2 and CH4 emissions at large spatial scales are limited. We investigated three-year emissions of soil CO2 and CH4 from the primary wetlanAuthorsSiyuan Ye, Ken W. Krauss, Hans Brix, Mengjie Wei, Linda Olsson, Xueyang Yu, Yueying Ma, Jin Wang, Hongming Yuan, Guangming Zhao, Xigui Ding, Rebecca MossLandscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing
Climate change coupled with an intensifying wildfire regime is becoming an important driver of permafrost loss and ecosystem change in the northern boreal forest. There is a growing need to understand the effects of fire on the spatial distribution of permafrost and its associated ecological consequences. We focus on the effects of fire a decade after disturbance in a rocky upland landscape in theAuthorsDana R. N. Brown, M. Torre Jorgenson, Knut Kielland, David L. Verbyla, Anupma Prakash, Joshua C. KochEstimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010
Background: Human activities have diverse and profound impacts on ecosystem carbon cycles. The Piedmont ecoregion in the eastern United States has undergone significant land use and land cover change in the past few decades. The purpose of this study was to use newly available land use and land cover change data to quantify carbon changes within the ecoregion. Land use and land cover change data (AuthorsJinxun Liu, Benjamin M. Sleeter, Zhiliang Zhu, Linda S. Heath, Zhengxi Tan, Tamara S. Wilson, Jason T. Sherba, Decheng ZhouState-and-transition simulation models: a framework for forecasting landscape change
SummaryA wide range of spatially explicit simulation models have been developed to forecast landscape dynamics, including models for projecting changes in both vegetation and land use. While these models have generally been developed as separate applications, each with a separate purpose and audience, they share many common features.We present a general framework, called a state-and-transition simAuthorsColin Daniel, Leonardo Frid, Benjamin M. Sleeter, Marie-Josée FortinAssessing wildlife benefits and carbon storage from restored and natural coastal marshes in the Nisqually River Delta: Determining marsh net ecosystem carbon balance
Working in partnership since 1996, the U.S. Fish and Wildlife Service and the Nisqually Indian Tribe have restored 902 acres of tidally influenced coastal marsh in the Nisqually River Delta (NRD), making it the largest estuary-restoration project in the Pacific Northwest to date. Marsh restoration increases the capacity of the estuary to support a diversity of wildlife species. Restoration also inAuthorsFrank Anderson, Brian A. Bergamaschi, Lisamarie Windham-Myers, Isa Woo, Susan De La Cruz, Judith Z. Drexler, Kristin Byrd, Karen M. Thorne