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(Article of periodic en Anglais - 2011)

Document title

Estimating the carbon stock of a blanket peat region using a peat depth inference model

Authors(s) and Affiliation(s)

HOLDEN N.M. (1) ; CONNOLLY J. (1) ;
(1) UCD Bioresources Research Center (Biosystems Engineering), UCD School of Agriculture, Food Science and Veterinary Medicine, Agriculture and Food Science Centre, Univ. College, Dublin, IRLANDE

Abstract

In Ireland the detailed information that is required to calculate the peatland soil organic carbon (SOC) pool, such as peat depth, area and carbon density, is inconsistent in quality and coverage. The aim of this research was to develop an improved method for estimating the depth of blanket peat from elevation, slope and disturbance data to allow more accurate estimations of the SOC pool for blanket peatlands. The model was formulated to predict peat depth at a resolution of 100 ha (1 km2). The model correctly captured the trend and accounted for 58 to 63% of the observed variation in peat depth in the Wicklow Mountains on the east coast of Ireland. Given that the surface of a blanket peatland masks unknown undulations at the mineral/peat interface this was a successful outcome

Source

Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2011, vol. 86, no2 [pp. 75-85]

Bibliographic references : 46 ref.

Collation : 10 fig., 4 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2011.02.002

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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