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Large-scale predictions of salt-marsh carbon stock based on simple observations of plant community and soil type
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Large-scale predictions of salt-marsh carbon stock based on simple observations of plant community and soil type
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Journal Article
Large-scale predictions of salt-marsh carbon stock based on simple observations of plant community and soil type
2019
Overview
Carbon stored in coastal wetland ecosystems is of global relevance to climate
regulation. Broadscale inventories of this “blue” carbon store are
currently lacking and labour intensive. Sampling 23 salt marshes in the
United Kingdom, we developed a Saltmarsh Carbon Stock Predictor (SCSP) with
the capacity to predict up to 44 % of spatial variation in surface soil
organic carbon (SOC) stock (0–10 cm) from simple observations of plant
community and soil type. Classification of soils into two types (sandy or
not-sandy) explained 32 % of variation in SOC stock. Plant community type
(five vegetation classes) explained 37 % of variation. Combined
information on soil and plant community types explained 44 % of variation
in SOC stock. GIS maps of surface SOC stock were produced for all salt
marshes in Wales (∼4000 ha), using existing soil maps and
governmental vegetation data and demonstrating the application of the SCSP
for large-scale predictions of blue carbon stores and the use of plant
community traits for predicting ecosystem services.
Publisher
Copernicus GmbH,Copernicus Publications
Subject
