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Biogeochemistry of a Forested Ecosystem

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TLDR
In this article, Biogeochemistry of a forested ecosystem, Biogeochemical properties of forested ecosystems, and biogeochemistry in forested environments, the authors present a biogeochemical model of forest ecosystems.
Abstract
Biogeochemistry of a forested ecosystem , Biogeochemistry of a forested ecosystem , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی

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Nitrogen solutes in an Adirondack forested watershed: Importance of dissolved organic nitrogen

TL;DR: In this article, Nitrogen dynamics were evaluated from 1 June 1995 through 31 May 1996 within the Arbutus Lake watershed in the Adirondack Mountains of New York State, U.S.A.
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Groundwater-transported dissolved organic nitrogen exports from coastal watersheds

TL;DR: In this article, the authors analyzed groundwater-transported nitrogen (N) exports from 41 watershed segments that comprised 10 Cape Cod, Massachusetts watersheds to test the hypotheses that chemical form of N exports is related to land use and to length of flow paths through watersheds.
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Some perspectives on long-term biogeochemical research from the hubbard brook ecosystem study

Gene E. Likens
- 01 Sep 2004 - 
TL;DR: Some biogeochemical results from these long-term studies, collectively called the Hubbard Brook Ecosystem Study, are described here, including approaches used for managing this large and complicated project.
Journal ArticleDOI

Measurements of wet and dry deposition in a Northern Hardwood forest

TL;DR: In this article, the authors investigated the role of atmospheric inputs in affecting elemental cycling in the Adirondack Mountains of New York for two years in the open and beneath the canopy of a northern hardwood forest.
Journal ArticleDOI

Desert Ecosystems: Their Resources in Space and Time

TL;DR: The dynamics of desert ecosystems control levels of resources that are essential to the survival of desert biotas as discussed by the authors, and the processes of production, consumption, decomposition, and nutrient-cycling in deserts are also highly irregular and difficult to predict with accuracy.
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