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The impacts of climate change and forest pests and diseases are making it harder for natural resource managers to sustain important forest habitat for wildlife species and, more generally, sustain the benefits that we all derive from forest ecosystems. The natural resource management and research communities have a general understanding of what broad climate adaptation strategies may to best to navigate these mounting challenges. But what we don’t yet fully understand is how effective implementation of these broad strategies actually is, in particular forest types and in particular places. Plus, the research community needs to better understand what knowledge and tools managers need to resolve remaining uncertainties...
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This report provides an overview of the state of the science for climate impacts and adaptation options across the NEAFWA region and for Regional Species of Greatest Conservation Need (RSGCN) and associated habitats.
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This dataset details individual species and natural habitat vulnerability rankings, including contextual study-specific information. This data was collected from original publications found through a literature search. Information is cumulative to include climate change vulnerability assessment (CCVA) results summarized in Staudinger et al. (2015) and published as of December 2023.
Categories: Data;
Tags: CCVA,
Climate Change Vulnerability Assessment,
Climatology,
Connecticut,
Delaware, All tags...
Eastern United States,
Maine,
Maryland,
Massachusetts,
New Hampshire,
New Jersey,
New York,
Northeast United States,
Pennsylvania,
RSGCN,
Regional Species of Greatest Conservation Need,
Rhode Island,
SGCN,
SWAP,
Species of Greatest Conservation Need,
State Wildlife Action Plans,
USGS Science Data Catalog (SDC),
Vermont,
Virginia,
West Virginia,
biota,
habitat vulnerability rankings, Fewer tags
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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...
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Abstract (from CanadianSciencePub): Sustaining the structure, function, and services provided by forest ecosystems in the face of changing climate and disturbance regimes represents a grand challenge for forest managers and policy makers. To address this challenge, a range of adaptation approaches have been proposed centered on conferring ecosystem resilience and adaptive capacity; however, considerable uncertainty exists regarding how to translate these broad and often theoretical adaptation frameworks to on-the-ground practice. Complicating this issue has been movement away, in some cases, from other recent advances in forest management, namely ecological silviculture strategies that often focus on restoration....
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