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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...
Categories: Publication;
Types: Citation
In a recent article, "The stand against climate change", in International Innovation, Northeast Climate Science Center (NE CSC) Principal Investigator Anthony D’Amato explains his investigations of land use and weather impacts on North American temperate forests. His findings will help establish evidence-based management strategies to cope with climate change and invasive species. Effectively managing forests against a context of climate change is a complex task. Researchers, including D'Amato and scientists from the U.S. Geological Survey, University of Maine, and the U.S. Forest Service, are analyzing historical and current empirical records to explore adaptation and mitigation approaches for effective forest...
Categories: Publication;
Types: Citation;
Tags: Birds,
Forests,
Landscapes,
Northeast CASC,
Wildlife and Plants
Abstract (from Ecological Indicators): Climate change is expected to alter stream fish habitat potentially leading to changes in the composition and distribution of fish communities. In the Northeastern and Midwestern United States we identified the distribution and characteristics of those fish communities most and least at risk of experiencing changes in climate which deviate from the climate they are associated with. We classified stream fish communities based on a suite of climate and environmental variables with multivariate regression trees under both recent and future conditions based on eight climate models. Our findings showed that some areas, such as the majority of the Illinois, Wisconsin, and Iowa),...
Categories: Publication;
Types: Citation
Abstract (from British Ecological Society): Tree harvest and climate change can interact to have synergistic effects on tree species distribution changes. However, few studies have investigated the interactive effects of tree harvest and climate change on tree species distributions. We assessed the interactive effects of tree harvest and climate change on the distribution of 29 dominant tree species at 270 m resolution in the southern United States, while accounting for species demography, competition, urban growth and natural fire. We simulated tree species distribution changes to year 2100 using a coupled forest dynamic model (LANDIS PRO), ecosystem process model (LINKAGES) and urban growth model (SLEUTH). The...
Abstract (from Wiley Online Library): Aim Population dynamics and disturbances have often been simplified or ignored when predicting regional‐scale tree species distributions in response to climate change in current climate‐distribution models (e.g., niche and biophysical process models). We determined the relative importance of population dynamics, tree harvest, climate change, and their interaction in affecting tree species distribution changes. Location Central Hardwood Forest Region of the United States. Major taxa studied Tree species. Methods We used a forest dynamic model, LANDIS PRO that accounted for population dynamics, tree harvest, and climate change to predict tree species’ distributions at 270 m resolution...
Modeling Post-Fire Tree Mortality Using a Logistic Regression Method within a Forest Landscape Model
Abstract (from Forests): Fire is a multi-scale process that is an important component in determining ecosystem age structures and successional trajectories across forested landscapes. In order to address questions regarding fire effects over large spatial scales and long temporal scales researchers often employ forest landscape models which can model fire as a spatially explicit disturbance. Within forest landscape models site-level fire effects are often simplified to the species, functional type, or cohort level due to time or computational resource limitations. In this study we used a subset of publicly available U.S. Forest Service forest inventory data (FIA) to estimate short-term fire effects on tree densities...
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