Modelling Holocene peatland dynamics ...

Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, current DGVMs lack functionality for the representation of peatlands, an important store of carbon at hig...

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Bibliographic Details
Main Authors: Chaudhary, Nitin, Miller, Paul A, Smith, Benjamin
Format: Dataset
Language:English
Published: PANGAEA 2017
Subjects:
Event label
File name
File format
File size
Uniform resource locator/link to file
Peat corer
Arctic
Canada
Bleue
Stordalen
Online Access:https://dx.doi.org/10.1594/pangaea.875116
https://doi.pangaea.de/10.1594/PANGAEA.875116
Description
Summary:Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, current DGVMs lack functionality for the representation of peatlands, an important store of carbon at high latitudes. We demonstrate a new implementation of peatland dynamics in a customised "Arctic" version of the dynamic vegetation model LPJ-GUESS, simulating the long-term evolution of selected northern peatland ecosystems and assessing the effect of changing climate on peatland carbon balance. Our approach employs a dynamic multi-layer soil with representation of freeze-thaw processes and litter inputs from a dynamically-varying mixture of the main peatland plant functional types; mosses, dwarf shrubs and graminoids. The model was calibrated and tested for a sub-arctic mire in Stordalen, Sweden, and validated at a temperate bog site in Mer Bleue, Canada. A regional evaluation of simulated carbon fluxes, hydrology ... : Supplement to: Chaudhary, Nitin; Miller, Paul A; Smith, Benjamin (2016): Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model. Biogeosciences Discussions, 1-46 ...

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