Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018

Boreal peatlands, of which Sphagnum bogs are one of the main types, play essential roles in the terrestrial soil carbon pool. Vegetation phenology is a sensitive indicator that reveals the underlying processes as well as responses to climate change, while currently there remain knowledge gaps in exp...

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Autores principales: Yuwen Pang, Yuxin Huang, Li He, Yinying Zhou, Jun Sui, Junfeng Xu
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/fdf74f16a3e149749724941638689e3f
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spelling oai:doaj.org-article:fdf74f16a3e149749724941638689e3f2021-12-01T04:57:07ZRemote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 20181470-160X10.1016/j.ecolind.2021.107968https://doaj.org/article/fdf74f16a3e149749724941638689e3f2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006336https://doaj.org/toc/1470-160XBoreal peatlands, of which Sphagnum bogs are one of the main types, play essential roles in the terrestrial soil carbon pool. Vegetation phenology is a sensitive indicator that reveals the underlying processes as well as responses to climate change, while currently there remain knowledge gaps in exploring and monitoring the long-term bog vegetation phenology due to insufficient remote sensing application experiences. In this study, we investigated three remotely sensed vegetation phenological parameters, the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in two bogs located in norther China by using double-logistic reconstructed MOD13Q1-EVI from 2001 to 2018, which were evaluated by the flux phenology. Also combing with meteorological data to detect interactions between vegetation phenology and climate change. The results showed that remotely sensed EOS had 8-day time lags with flux phenological date, while that outperformed SOS. Bog vegetation generally with a life pattern of SOS at the 108th day of year (doy) and EOS at the 328th doy, though the life cycle of individual vegetation groups varies among different vegetation communities. There was no significant delayed (or extended) trend in each phenological features in bogs. Precipitation and minimum temperature (monthly and annual) were the driving forces for bog vegetation growth (R2 > 0.9, P < 0.01), and other features presented weaker correlations. Overall, this study determined the remote sensing phenology and climate drivers in two Chinese bogs, we suggested that vegetation phenology alternation should be concerned when carry on ecological processes and carbon dynamics researches in peatlands.Yuwen PangYuxin HuangLi HeYinying ZhouJun SuiJunfeng XuElsevierarticleSphagnum bogVegetation phenologyRemote sensingClimate responseEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107968- (2021)
institution DOAJ
collection DOAJ
language EN
topic Sphagnum bog
Vegetation phenology
Remote sensing
Climate response
Ecology
QH540-549.5
spellingShingle Sphagnum bog
Vegetation phenology
Remote sensing
Climate response
Ecology
QH540-549.5
Yuwen Pang
Yuxin Huang
Li He
Yinying Zhou
Jun Sui
Junfeng Xu
Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018
description Boreal peatlands, of which Sphagnum bogs are one of the main types, play essential roles in the terrestrial soil carbon pool. Vegetation phenology is a sensitive indicator that reveals the underlying processes as well as responses to climate change, while currently there remain knowledge gaps in exploring and monitoring the long-term bog vegetation phenology due to insufficient remote sensing application experiences. In this study, we investigated three remotely sensed vegetation phenological parameters, the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in two bogs located in norther China by using double-logistic reconstructed MOD13Q1-EVI from 2001 to 2018, which were evaluated by the flux phenology. Also combing with meteorological data to detect interactions between vegetation phenology and climate change. The results showed that remotely sensed EOS had 8-day time lags with flux phenological date, while that outperformed SOS. Bog vegetation generally with a life pattern of SOS at the 108th day of year (doy) and EOS at the 328th doy, though the life cycle of individual vegetation groups varies among different vegetation communities. There was no significant delayed (or extended) trend in each phenological features in bogs. Precipitation and minimum temperature (monthly and annual) were the driving forces for bog vegetation growth (R2 > 0.9, P < 0.01), and other features presented weaker correlations. Overall, this study determined the remote sensing phenology and climate drivers in two Chinese bogs, we suggested that vegetation phenology alternation should be concerned when carry on ecological processes and carbon dynamics researches in peatlands.
format article
author Yuwen Pang
Yuxin Huang
Li He
Yinying Zhou
Jun Sui
Junfeng Xu
author_facet Yuwen Pang
Yuxin Huang
Li He
Yinying Zhou
Jun Sui
Junfeng Xu
author_sort Yuwen Pang
title Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018
title_short Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018
title_full Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018
title_fullStr Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018
title_full_unstemmed Remote sensing phenology of two Chinese northern Sphagnum bogs under climate drivers during 2001 and 2018
title_sort remote sensing phenology of two chinese northern sphagnum bogs under climate drivers during 2001 and 2018
publisher Elsevier
publishDate 2021
url https://doaj.org/article/fdf74f16a3e149749724941638689e3f
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AT yuxinhuang remotesensingphenologyoftwochinesenorthernsphagnumbogsunderclimatedriversduring2001and2018
AT lihe remotesensingphenologyoftwochinesenorthernsphagnumbogsunderclimatedriversduring2001and2018
AT yinyingzhou remotesensingphenologyoftwochinesenorthernsphagnumbogsunderclimatedriversduring2001and2018
AT junsui remotesensingphenologyoftwochinesenorthernsphagnumbogsunderclimatedriversduring2001and2018
AT junfengxu remotesensingphenologyoftwochinesenorthernsphagnumbogsunderclimatedriversduring2001and2018
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