Peat moisture dataset of Sumatra peatlands.
Field monitoring
Human modified
Soil moisture content
Tropical peatland
Water retention
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Feb 2023
Feb 2023
Historique:
received:
26
10
2022
revised:
03
01
2023
accepted:
05
01
2023
entrez:
23
2
2023
pubmed:
24
2
2023
medline:
24
2
2023
Statut:
epublish
Résumé
Peatland is a unique ecosystem that is key in regulating global carbon cycle, climate, hydrology, and biodiversity. Peat moisture content is a key variable in ecohydrological and biogeochemical cycles known to control peatland's greenhouse gas emissions and fire vulnerability. Peat moisture is also an indicator of the success of peat restoration projects. Here we present datasets of peat moisture dynamic and retention capacity of degraded tropical peatlands. The data were collected from automatic daily monitoring and field campaigns. The peat moisture content data consists of daily data from 21 stations across three peatland provinces in Sumatra Island, Indonesia, from 2018 to 2019. In addition, peat water retention data were collected from field campaigns in Riau province. This dataset represents human modified peatlands which can be used as a benchmark for hydrological and biogeochemical models.
Identifiants
pubmed: 36817731
doi: 10.1016/j.dib.2023.108889
pii: S2352-3409(23)00007-0
pmc: PMC9936326
doi:
Types de publication
Journal Article
Langues
eng
Pagination
108889Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
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