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Filters: partyWithName: Northeast CSC (X) > partyWithName: Hong S. He (X)

Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC ( Show direct descendants )

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Abstract (from https://link.springer.com/article/10.1007/s10980-017-0540-9): Context Quantitative models of forest dynamics have followed a progression toward methods with increased detail, complexity, and spatial extent. Objectives We highlight milestones in the development of forest dynamics models and identify future research and application opportunities. Methods We reviewed milestones in the evolution of forest dynamics models from the 1930s to the present with emphasis on forest growth and yield models and forest landscape models We combined past trends with emerging issues to identify future needs. Results Historically, capacity to model forest dynamics at tree, stand, and landscape scales was constrained...
Categories: Publication; Types: Citation; Tags: Forests, Landscapes, Northeast CASC
Abstract (from http://link.springer.com/article/10.1007%2Fs10980-015-0294-1): Context Tree species distribution and abundance are affected by forces operating at multiple scales. Niche and biophysical process models have been commonly used to predict climate change effects at regional scales, however, these models have limited capability to include site-scale population dynamics and landscape-scale disturbance and dispersal. We applied a landscape modeling approach that incorporated three levels of spatial hierarchy (pixel, landtype, and ecological subsection) to model regional-scale shifts in forest composition under climate change. Objective To determine (1) how importance value of individual species will...
Abstract (from http://link.springer.com/article/10.1007%2Fs10980-015-0217-1): Context Tree species distribution and abundance are affected by forces operating across a hierarchy of ecological scales. Process and species distribution models have been developed emphasizing forces at different scales. Understanding model agreement across hierarchical scales provides perspective on prediction uncertainty and ultimately enables policy makers and managers to make better decisions. Objective Our objective was to test the hypothesis that agreement between process and species distribution models varies by hierarchical level. Due to the top-down approach of species distribution models and the bottom-up approach of process...
Abstract (from https://link.springer.com/article/10.1007/s10980-016-0429-z): Context Forests in the northeastern United States are currently in early- and mid-successional stages recovering from historical land use. Climate change will affect forest distribution and structure and have important implications for biodiversity, carbon dynamics, and human well-being. Objective We addressed how aboveground biomass (AGB) and tree species distribution changed under multiple climate change scenarios (PCM B1, CGCM A2, and GFDL A1FI) in northeastern forests. Methods We used the LANDIS PRO forest landscape model to simulate forest succession and tree harvest under current climate and three climate change scenarios from...
Categories: Publication; Types: Citation; Tags: Forests, Landscapes, Northeast CASC
Abstract (from https://link.springer.com/article/10.1007/s10980-016-0473-8): Context Global climate change impacts forest growth and methods of modeling those impacts at the landscape scale are needed to forecast future forest species composition change and abundance. Changes in forest landscapes will affect ecosystem processes and services such as succession and disturbance, wildlife habitat, and production of forest products at regional, landscape and global scales. Objectives LINKAGES 2.2 was revised to create LINKAGES 3.0 and used it to evaluate tree species growth potential and total biomass production under alternative climate scenarios. This information is needed to understand species potential under...
Categories: Publication; Types: Citation; Tags: Forests, Landscapes, Northeast CASC
Abstract (from http://onlinelibrary.wiley.com/doi/10.1890/ES15-00238.1/abstract): Most temperate forests in U.S. are recovering from heavy exploitation and are in intermediate successional stages where partial tree harvest is the primary disturbance. Changes in regional forest composition in response to climate change are often predicted for plant functional types using biophysical process models. These models usually simplify the simulation of succession and harvest and may not consider important species-specific demographic processes driving forests changes. We determined the relative importance of succession, harvest, and climate change to forest composition changes in a 125-million ha area of the Central Hardwood...