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Aaron Weiskittel

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Forests in the eastern United States are changing in response to ecological succession, tree harvest, and other disturbances and climate change has the potential to further change these forests. We predicted the distribution and abundance of common tree species across portions of the eastern U.S. under alternative climate scenarios that varied in the amount of warming by the end of the century from 1.1 to 4.2 degrees celsius. We used a forest landscape change model to forecast changes in tree abundances and distribution in the North Atlantic region of the U.S. while accounting for climate change, succession, and harvest. We then considered a broader region of the U.S. and combined our results with results from previous...
Abstract (from Ecosphere): Spruce–fir (Picea–Abies) forests of the North American Acadian Forest Region are at risk of disappearing from the northeastern United States and Canada due to climate change. Species distribution models (SDMs) have been used to predict changes in this critical transitional ecosystem in the past, but none have addressed how seasonal patterns of temperature and precipitation interact to influence tree species abundance. Inferences have also been limited by contemporary inventory data that could not fully characterize species ranges because they either, (1) only sampled species occurrence after large-scale human disturbance and settlement, or (2) did not span critical geopolitical boundaries...
Categories: Publication; Types: Citation
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Spruce-fir forests and associated bird species are recognized as some of the most vulnerable ecosystems and species to the impacts of climate change. This work capitalized on a rich suite of long-term data from these ecosystems to document recent trends in these forests and their associated bird species and developed tools for predicting their future abundance under climate change. Findings from this work indicate declining trends in the abundance of spruce-fir obligate birds, including Bicknell’s Thrush, across the Lake States and New England. In contrast, montane spruce-fir forests in the White and Green Mountains of New England exhibited patterns of increasing abundance, potentially due to their recovery from...
Abstract (from ScienceDirect): Maximum stand density index (SDImax) is an important factor controlling stand dynamics that varies by species and region, but less is understood how it differs within a region for a given species. In this analysis, linear quantile mixed modeling (LQMM) and an extensive network of permanent plots were utilized to examine regional variation in the SDImax of 15 species (7 softwoods and 8 hardwoods) across the complex forests of the Acadian Region in North America. Observed plot-level SDImax was then linked to various stand, plant trait, site, and climatic factors and the spatial patterns throughout the region examined. Results indicated high variability of SDImax for a given species with...
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