Modelling Holocene peatland dynamics ...

• 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

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 ...