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In this study we examine how the contributions to forest biomass carbon stock changes of (1) past pre-19900) disturbandes and harvest and (2) recent post-19900) changes in forest management can be differentiated in present and future observable carbon dynamics in managed forest ecosystems.
They also provide an incredible wealth of records and knowledge of environmental change in natural and managed forest ecosystems across the United States.
A process-based model BIOME-BGC designed for simulation of biogeochemical element cycling in terrestrial ecosystems was prepared for application to managed forest ecosystems in temperate Europe.
Minimizing the distance between regeneration units and potential sources of propagules is probably important for maintaining lichen biodiversity in managed forest ecosystems.
The study shows that line intersect sampling in aerial photographs has large potential application as a general tool for collecting detailed information on the quantity and characteristics of high-contrast edges in managed forest ecosystems.
The general model approach assumes uniform and fully stocked forests but since most European forests are managed (e.g., thinned) it is essential to understand the limits and precision of such models when applied to managed forest ecosystems.
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In order to simulate forest growth response to pre-commercial thinning (PCT), TRIPLEX1.0 – a process-based model designed to predict forest growth as well as carbon (C) and nitrogen (N) dynamics – was modified and improved to also simulate managed forest ecosystem thinning practices.
Managing forest ecosystems for sustainable, multiple use requires forest resource managers to understand and predict how plant species composition and distribution varies across environmental gradients and responds to landscape scale disturbances.
There is a growing need to manage forest ecosystems for biodiversity conservation.
The monitoring of tree diversity and forest structure is a key pre-requisite for understanding and managing forest ecosystems.
Ecosystem-based adaptation offers an opportunity to conserve, restore and sustainably manage forest ecosystems, and to provide both adaptation and mitigation benefits.
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