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Titel |
Microbial and metabolic profiling reveal strong influence of water table and land-use patterns on classification of degraded tropical peatlands |
VerfasserIn |
S. Mishra, W. A. Lee, A. Hooijer, S. Reuben, I. M. Sudiana, A. Idris, S. Swarup |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 11, no. 7 ; Nr. 11, no. 7 (2014-04-03), S.1727-1741 |
Datensatznummer |
250117337
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Publikation (Nr.) |
copernicus.org/bg-11-1727-2014.pdf |
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Zusammenfassung |
Tropical peatlands from southeast Asia are undergoing extensive drainage,
deforestation and degradation for agriculture and human settlement purposes.
This is resulting in biomass loss and subsidence of peat from its oxidation.
Molecular profiling approaches were used to understand the relative
influences of different land-use patterns, hydrological and physicochemical
parameters on the state of degraded tropical peatlands. As microbial
communities play a critical role in biogeochemical cascades in the
functioning of peatlands, we used microbial and metabolic profiles as
surrogates of community structure and functions, respectively. Profiles were
generated from 230 bacterial 16 S rDNA fragments and 145 metabolic markers
of 46 samples from 10 sites, including those from above and below water table
in a contiguous area of 48 km2 covering five land-use types. These were
degraded forest, degraded land, oil palm plantation, mixed crop plantation
and settlements. Bacterial profiles were most influenced by variations in
water table and land-use patterns, followed by age of drainage and peat
thickness in that order. Bacterial profiling revealed differences in sites,
based on the duration and frequency of water table fluctuations and on oxygen
availability. Mixed crop plantations had the most diverse bacterial and
metabolic profiles. Metabolic profiling, being closely associated with
biogeochemical functions, could distinguish communities not only based on
land-use types but also their geographic locations, thus providing a finer
resolution than bacterial profiles. Agricultural inputs, such as nitrates,
were highly associated with bacterial community structure of oil palm
plantations, whereas phosphates and dissolved organic carbon influenced those
from mixed crop plantations and settlements. Our results provide a basis for
adopting molecular marker-based approaches to classify peatlands and
determine relative importance of factors that influence peat functioning. Our
findings will be useful in peatland management by providing a basis to focus
early efforts on hydrological interventions and improving sustainability of
oil palm plantations by adopting mixed cropping practices to increase
microbial diversity in the long term. |
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