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Biogeochemistry of a Forested Ecosystem
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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 کشاورزیread more
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Mayan urbanism: impact on a tropical karst environment.
Edward S. Deevey,Don S. Rice,Prudence M. Rice,H. H. Vaughan,Mark Brenner,Michael S. Flannery +5 more
TL;DR: It is concluded that riparian soils are anthrosols and that the mechanism of long-term phosphorus loading in lakes is mass transport of soil, which is likely to have dampened population growth at least until Late Classic time.
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Decomposition and nutrient release from logging residues after clear-cutting of mixed boreal forest
TL;DR: In this article, the decomposition rate and release of carbon, nitrogen, and phosphorus from Scots pine, Norway spruce and Betula pendula Roth logging residues were investigated during three years with the litterbag method in a clear-cut area and in an adjacent Norwegian spruce dominated, mixed boreal forest in eastern Finland (63°51′N, 28°58′E, 220m asl).
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The Hubbard Brook Ecosystem Study: Forest Nutrient Cycling and Element Behavior
TL;DR: Data from dimension analysis of forest biomass and production are combined with analyses of plant tissues, soil, and precipitation to describe nutrient cycling in a cool-temperate deciduous forest on a podzol.
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Flow analysis of models of the Hubbard Brook Ecosystem.
TL;DR: Several models of energy and nutrient flow on the Hubbard Brook Ecosystem, New Hampshire, USA, were analyzed for the pattern of flow through the models, cycling index CI, path length PL, and straight-though-path length PLs as discussed by the authors.
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Environmental variation is directly responsible for short‐ but not long‐term variation in forest‐atmosphere carbon exchange
TL;DR: In this article, the authors use a statistical modeling approach to partition the interannual variability in NEE (and its component fluxes, ecosystem respiration, Reco, and gross photosynthesis, Pgross) into two main effects: variation in environmental drivers (air and soil temperature, solar radiation, vapor pressure deficit, and soil water content) and variation in the biotic response to this environmental forcing (as characterized by the model parameters).