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Allen M. Solomon

Researcher at United States Environmental Protection Agency

Publications -  18
Citations -  6625

Allen M. Solomon is an academic researcher from United States Environmental Protection Agency. The author has contributed to research in topics: Climate change & Carbon cycle. The author has an hindex of 16, co-authored 18 publications receiving 6261 citations. Previous affiliations of Allen M. Solomon include Potsdam Institute for Climate Impact Research.

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Journal ArticleDOI

Carbon pools and flux of global forest ecosystems.

TL;DR: Slowing deforestation, combined with an increase in forestation and other management measures to improve forest ecosystem productivity, could conserve or sequester significant quantities of carbon.
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A global biome model based on plant physiology and dominance, soil properties and climate

TL;DR: A model to predict global patterns in vegetation physiognomy was developed from physiological considera- tions influencing the distributions of different functional types of plant in a given environment, and selected the potentially dominant types from among them as discussed by the authors.
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Forecasting Regional to Global Plant Migration in Response to Climate Change

TL;DR: Simulation of plant migration and local vegetation change by dynamic global vegetation models (DGVMs) is critical, yet fraught with challenges because theories about climate change and migration are limited by inadequate data.
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Tree Mortality in Gap Models: Application to Climate Change

TL;DR: The treatment of mortality in gap models is reviewed, the relationships used to represent mortality in the current generation of gap models are evaluated, and the prospects for making improvements are assessed, especially for applications involving global climate change.
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Explaining forest composition and biomass across multiple biogeographical regions

TL;DR: ForClim V2.9 as mentioned in this paper was developed to simulate individual tree species response to strong moisture seasonality and low temperature seasonality, and modified the widespread parabolic temperature response function to mimic nonlinear increases in growth with increased temperature up to species specific optimal values.