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Research about North Carolina, South Carolina, Virginia

Source-linked reports with geographic coverage including North Carolina, South Carolina, Virginia.

4 recordsLinked to original sources
USGS2026

Atlas of pollen and spores from forests and wetlands in the mid-Atlantic Coastal Plain, USA

This atlas includes descriptions and illustrations of pollen and spores from plant species found in the mid-Atlantic Coastal Plain of the United States of America, with a focus on taxa that grow in or near riparian wetlands. We include light micrographs and detailed descriptions of 141 species spanning 106 genera and 69 families. This atlas was compiled to facilitate the identification of palynomorphs from sedimentary archives in the mid-Atlantic region. We include both wetland taxa and those from surrounding uplands that may be deposited in wetland sediments.

North Carolina, South Carolina, Virginia↗
USGS2021

Evaluating the impact of watershed development and climate change on stream ecosystems: A Bayesian network modeling approach

A continuous-variable Bayesian network (cBN) model is used to link watershed development and climate change to stream ecosystem indicators. A graphical model, reflecting our understanding of the connections between climate change, weather condition, loss of natural land cover, stream flow characteristics , and stream ecosystem indicators is used as the basis for selecting flow metrics for predicting macroinvertebrate-based indicators. Selected flow metrics were then linked to variables representing watershed development and climate change. We fit the model to data from two river basins in southeast US and the resulting model was used to simulate future stream ecological conditions using projected future climate and development scenarios. The three climate models predicted varying ecological condition trajectories, but similar worst-case ecological conditions. The established modeling approach couples mechanistic understanding with field data to develop predictions of management-relevant variables across a heterogeneous landscape. We discussed the transferability of the modeling approach.

North Carolina, South Carolina, Virginia↗