Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China

Forest disturbances significantly affect the global carbon cycle by, for example, vegetation loss or changing forest phenology. However, the lack of historical disturbance events constitutes a challenge for in-depth temporal and spatial analysis. Available remote sensing time series and combined cli...

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Autores principales:	Ying Deng, Ming Wang, Rasoul Yousefpour, Marc Hanewinkel
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Forest disturbances Change detection Breaks for additive seasonal and trend (BFAST) Post-disturbance effects Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/47e68dde50f7455c955a50d45dd1a678
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spelling	oai:doaj.org-article:47e68dde50f7455c955a50d45dd1a6782021-12-01T04:45:21ZAbiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China1470-160X10.1016/j.ecolind.2021.107393https://doaj.org/article/47e68dde50f7455c955a50d45dd1a6782021-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21000583https://doaj.org/toc/1470-160XForest disturbances significantly affect the global carbon cycle by, for example, vegetation loss or changing forest phenology. However, the lack of historical disturbance events constitutes a challenge for in-depth temporal and spatial analysis. Available remote sensing time series and combined climate data may have great potential to quickly and consistently detect and identify forest disturbances events. We employed time-series data (2001–2014) of a vegetation index (normalized difference vegetation index, NDVI) and a change detection algorithm (the breaks for additive seasonal and trend, BFAST) to detect forest disturbances in a sub-tropical area located in Southwest China. Remote sensing and meteorological data were combined to distinguish among the typical forest disturbances: fires, extreme cold events in winter (ECE), and droughts. With the reconstructed historical disturbance events, post-disturbance vegetation loss, short-term vegetation cover, and phenology changes were analyzed. Our results show that fires and droughts caused severe damage to forest cover (NDVI anomalies can reach up to −1.84 and −1.11, respectively). Fire changed the regular phenological periods which last 3–4 years, and it also took 1–2 years for vegetation greenness to recover after ECE and droughts, which triggered carbon emissions and reduced forest stocks. Warmer areas were vulnerable to ECE effects as well and should be paid more attention. Post-disturbance effects show complex patterns: characteristics of disturbances, climatic conditions, and multiple events overlaying contribute to modifying forest vegetation. Hence, forest disturbances cannot be neglected but should be emphasized in future forest ecosystem modeling or analyzing. The approach used in the study can be a crucial step in detecting and assessing the effects of various disturbances on forest vegetation and phenology and, thereby, contributes to improved risk analysis and management in forestry.Ying DengMing WangRasoul YousefpourMarc HanewinkelElsevierarticleForest disturbancesChange detectionBreaks for additive seasonal and trend (BFAST)Post-disturbance effectsEcologyQH540-549.5ENEcological Indicators, Vol 124, Iss , Pp 107393- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Forest disturbances Change detection Breaks for additive seasonal and trend (BFAST) Post-disturbance effects Ecology QH540-549.5
spellingShingle	Forest disturbances Change detection Breaks for additive seasonal and trend (BFAST) Post-disturbance effects Ecology QH540-549.5 Ying Deng Ming Wang Rasoul Yousefpour Marc Hanewinkel Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China
description	Forest disturbances significantly affect the global carbon cycle by, for example, vegetation loss or changing forest phenology. However, the lack of historical disturbance events constitutes a challenge for in-depth temporal and spatial analysis. Available remote sensing time series and combined climate data may have great potential to quickly and consistently detect and identify forest disturbances events. We employed time-series data (2001–2014) of a vegetation index (normalized difference vegetation index, NDVI) and a change detection algorithm (the breaks for additive seasonal and trend, BFAST) to detect forest disturbances in a sub-tropical area located in Southwest China. Remote sensing and meteorological data were combined to distinguish among the typical forest disturbances: fires, extreme cold events in winter (ECE), and droughts. With the reconstructed historical disturbance events, post-disturbance vegetation loss, short-term vegetation cover, and phenology changes were analyzed. Our results show that fires and droughts caused severe damage to forest cover (NDVI anomalies can reach up to −1.84 and −1.11, respectively). Fire changed the regular phenological periods which last 3–4 years, and it also took 1–2 years for vegetation greenness to recover after ECE and droughts, which triggered carbon emissions and reduced forest stocks. Warmer areas were vulnerable to ECE effects as well and should be paid more attention. Post-disturbance effects show complex patterns: characteristics of disturbances, climatic conditions, and multiple events overlaying contribute to modifying forest vegetation. Hence, forest disturbances cannot be neglected but should be emphasized in future forest ecosystem modeling or analyzing. The approach used in the study can be a crucial step in detecting and assessing the effects of various disturbances on forest vegetation and phenology and, thereby, contributes to improved risk analysis and management in forestry.
format	article
author	Ying Deng Ming Wang Rasoul Yousefpour Marc Hanewinkel
author_facet	Ying Deng Ming Wang Rasoul Yousefpour Marc Hanewinkel
author_sort	Ying Deng
title	Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China
title_short	Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China
title_full	Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China
title_fullStr	Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China
title_full_unstemmed	Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China
title_sort	abiotic disturbances affect forest short-term vegetation cover and phenology in southwest china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/47e68dde50f7455c955a50d45dd1a678
work_keys_str_mv	AT yingdeng abioticdisturbancesaffectforestshorttermvegetationcoverandphenologyinsouthwestchina AT mingwang abioticdisturbancesaffectforestshorttermvegetationcoverandphenologyinsouthwestchina AT rasoulyousefpour abioticdisturbancesaffectforestshorttermvegetationcoverandphenologyinsouthwestchina AT marchanewinkel abioticdisturbancesaffectforestshorttermvegetationcoverandphenologyinsouthwestchina
_version_	1718405772889554944

Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China

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