Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone

Assessments of forest resilience to climate change are becoming increasingly urgent with more frequent drought events. In this study, we examined warming-induced variations in canopy greenness and water content in developing a robust approach to monitor forest resilience with the dense time series o...

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Autores principales:	Feng Liu, Hongyan Liu, Chongyang Xu, Xinrong Zhu, Wenqi He, Yang Qi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Resilience Remote sensing Spectral indices Time series Semiarid forests Mortality Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/e3dca5f9ab5a48728df02a6af1a9eb4b
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spelling	oai:doaj.org-article:e3dca5f9ab5a48728df02a6af1a9eb4b2021-12-01T04:47:49ZRemotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone1470-160X10.1016/j.ecolind.2021.107526https://doaj.org/article/e3dca5f9ab5a48728df02a6af1a9eb4b2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21001916https://doaj.org/toc/1470-160XAssessments of forest resilience to climate change are becoming increasingly urgent with more frequent drought events. In this study, we examined warming-induced variations in canopy greenness and water content in developing a robust approach to monitor forest resilience with the dense time series of the Landsat normalized difference vegetation index (NDVI) and normalized difference infrared index (NDII). Remote sensing observations and field data from five sites in the northern China forest-steppe ecotone were selected for assessment. The results reveal that the NDVI and NDII were negatively correlated with the investigated mortality ratios (with R2 values of 0.45 and 0.27, respectively), corresponding to the canopy greenness reduction and water loss, respectively, in the context of forest mortality. We further observed four patterns of birch forest resilience based on the NDVI-NDII coordinated variation trends identified from the Mann-Kendall (MK) test. Accordingly, arid timberline forests were found to exhibit greater resilience with more significant recovery of greenness and water content even after a canopy decline period of more than 10 years. Larger standard deviation (SD) values of the NDVI residual time series (all above 0.07) and a longer time lag of the NDII variations relative to those of the NDVI were observed, indicating that the greenness changes dominated the canopy dynamics observed in birch forest. Compared to traditional field surveys, remote sensing techniques focus on the continuous and quasi-synchronous monitoring of canopy dynamics, contributing to a more accurate detection and prediction of semiarid forest resilience on large scales.Feng LiuHongyan LiuChongyang XuXinrong ZhuWenqi HeYang QiElsevierarticleResilienceRemote sensingSpectral indicesTime seriesSemiarid forestsMortalityEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107526- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Resilience Remote sensing Spectral indices Time series Semiarid forests Mortality Ecology QH540-549.5
spellingShingle	Resilience Remote sensing Spectral indices Time series Semiarid forests Mortality Ecology QH540-549.5 Feng Liu Hongyan Liu Chongyang Xu Xinrong Zhu Wenqi He Yang Qi Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone
description	Assessments of forest resilience to climate change are becoming increasingly urgent with more frequent drought events. In this study, we examined warming-induced variations in canopy greenness and water content in developing a robust approach to monitor forest resilience with the dense time series of the Landsat normalized difference vegetation index (NDVI) and normalized difference infrared index (NDII). Remote sensing observations and field data from five sites in the northern China forest-steppe ecotone were selected for assessment. The results reveal that the NDVI and NDII were negatively correlated with the investigated mortality ratios (with R2 values of 0.45 and 0.27, respectively), corresponding to the canopy greenness reduction and water loss, respectively, in the context of forest mortality. We further observed four patterns of birch forest resilience based on the NDVI-NDII coordinated variation trends identified from the Mann-Kendall (MK) test. Accordingly, arid timberline forests were found to exhibit greater resilience with more significant recovery of greenness and water content even after a canopy decline period of more than 10 years. Larger standard deviation (SD) values of the NDVI residual time series (all above 0.07) and a longer time lag of the NDII variations relative to those of the NDVI were observed, indicating that the greenness changes dominated the canopy dynamics observed in birch forest. Compared to traditional field surveys, remote sensing techniques focus on the continuous and quasi-synchronous monitoring of canopy dynamics, contributing to a more accurate detection and prediction of semiarid forest resilience on large scales.
format	article
author	Feng Liu Hongyan Liu Chongyang Xu Xinrong Zhu Wenqi He Yang Qi
author_facet	Feng Liu Hongyan Liu Chongyang Xu Xinrong Zhu Wenqi He Yang Qi
author_sort	Feng Liu
title	Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone
title_short	Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone
title_full	Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone
title_fullStr	Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone
title_full_unstemmed	Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone
title_sort	remotely sensed birch forest resilience against climate change in the northern china forest-steppe ecotone
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e3dca5f9ab5a48728df02a6af1a9eb4b
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Remotely sensed birch forest resilience against climate change in the northern China forest-steppe ecotone

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