Climate Change

USGS researchers will characterize extreme climatic events across U.S. following a review of case studies of mass mortality events associated with climate extremes including drought, precipitation, freeze, heat waves, and storm events.

The USGS Joint Ecosystem Modeling team will use Bayesian networks to build a spatially explicit Everglades Vulnerability Analysis module based on current knowledge and existing data on fish density and biomass trends on the landscape.

USGS is collaborating with partners to develop a scientific vision for freshwater Mussel research.

USGS researchers will utilize long-term soil elevation change data to help advance understanding of soil elevation dynamics and ecological transformations due to climate change within coastal wetlands of the Greater Everglades.

USGS scientists are working with partners at the Puget Sound Partnership and the State of Washington’s Department of Ecology to develop two new tools to help us understand how human disturbance affects life at the top of Puget Sound: a Marine Benthic Index and a graphical causal model.

Researchers at WARC will use data and models to produce probabilistic maps of current and future wetland inundation, coastal wetland extent, and coastal and wetland trangression.

USGS researchers will examine how hydrology and landscape vegetation changes impact Cape Sable Seaside Sparrow survival and population growth.

USGS science plays an essential role in helping natural resource managers, communities, and policy makers prepare and mitigate for changing environmental conditions.

To better understand the environmental drivers of methane emissions in tidal saltmarsh, tidal freshwater swamp forest, tidal freshwater marsh, and non-tidal freshwater marsh habitats, researchers are collecting observations of CH4 emissions and porewater concentrations at research sites representative of each of these habitats.

WARC researchers are working to quantify the impacts of future climate and land use/land cover change on greenhouse gas emissions and reductions.

WARC's wetland carbon cycle science team is working to improve model parameterizations and formulations and reduce forecast uncertainty in ecosystem modeling.

Using temperature, species occurrence, field-based freeze damage data, and regression analyses for 84 invasive species, researchers at WARC are quantifying the species-specific relationships between minimum temperature and plant presence.