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Peat moisture dataset of Sumatra peatlands
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936326/ https://www.ncbi.nlm.nih.gov/pubmed/36817731 http://dx.doi.org/10.1016/j.dib.2023.108889 |
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author | Taufik, Muh Widyastuti, Marliana Tri Santikayasa, I Putu Arif, Chusnul Minasny, Budiman |
author_facet | Taufik, Muh Widyastuti, Marliana Tri Santikayasa, I Putu Arif, Chusnul Minasny, Budiman |
author_sort | Taufik, Muh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9936326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99363262023-02-18 Peat moisture dataset of Sumatra peatlands Taufik, Muh Widyastuti, Marliana Tri Santikayasa, I Putu Arif, Chusnul Minasny, Budiman Data Brief Data Article 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. Elsevier 2023-01-11 /pmc/articles/PMC9936326/ /pubmed/36817731 http://dx.doi.org/10.1016/j.dib.2023.108889 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Taufik, Muh Widyastuti, Marliana Tri Santikayasa, I Putu Arif, Chusnul Minasny, Budiman Peat moisture dataset of Sumatra peatlands |
title | Peat moisture dataset of Sumatra peatlands |
title_full | Peat moisture dataset of Sumatra peatlands |
title_fullStr | Peat moisture dataset of Sumatra peatlands |
title_full_unstemmed | Peat moisture dataset of Sumatra peatlands |
title_short | Peat moisture dataset of Sumatra peatlands |
title_sort | peat moisture dataset of sumatra peatlands |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936326/ https://www.ncbi.nlm.nih.gov/pubmed/36817731 http://dx.doi.org/10.1016/j.dib.2023.108889 |
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