Characterizing the effects of climate change on short-term post-disturbance forest recovery in southern China from Landsat time-series observations (1988–2016)

doi:10.1007/s11707-020-0820-6

Frontiers of Earth Science

2020, Vol. 14

Issue (4): 816-827 https://doi.org/10.1007/s11707-020-0820-6

本期目录

Characterizing the effects of climate change on short-term post-disturbance forest recovery in southern China from Landsat time-series observations (1988–2016)

Fangyan ZHU^1,², Heng WANG^1,², Mingshi LI^1,²(

), Jiaojiao DIAO^1,², Wenjuan SHEN^1,², Yali ZHANG^1,², Hongji WU^1,²

¹. College of Forestry, Nanjing Forestry University, Nanjing 210037, China
². Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China

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Abstract：

Climate change, a recognized critical environmental issue, plays an important role in regulating the structure and function of forest ecosystems by altering forest disturbance and recovery regimes. This research focused on exploring the statistical relationships between meteorological and topographic variables and the recovery characteristics following disturbance of plantation forests in southern China. We used long-term Landsat images and the vegetation change tracker algorithm to map forest disturbance and recovery events in the study area from 1988 to 2016. Stepwise multiple linear regression (MLR), random forest (RF) regression, and support vector machine (SVM) regression were used in conjunction with climate variables and topographic factors to model short-term forest recovery using the normalized difference vegetation index (NDVI). The results demonstrated that the regene-rating forests were sensitive to the variation in temperature. The fitted results suggested that the relationship between the NDVI values of the forest areas and the post-disturbance climatic and topographic factors differed in regression algorithms. The RF regression yielded the best performance with an R² value of 0.7348 for the validation accuracy. This indicated that slope and temperature, especially high temperatures, had substantial effects on post-disturbance vegetation recovery in southern China. For other mid-subtropical monsoon regions with intense light and heat and abundant rainfall, the information will also contribute to appropriate decisions for forest managers on forest recovery measures. Additionally, it is essential to explore the relationships between forest recovery and climate change of different vegetation types or species for more accurate and targeted forest recovery strategies.

Key words： climate change forest disturbance forest recovery vegetation change tracker

收稿日期: 2019-09-10 出版日期: 2021-01-08

Corresponding Author(s): Mingshi LI

引用本文:

. [J]. Frontiers of Earth Science, 2020, 14(4): 816-827.
Fangyan ZHU, Heng WANG, Mingshi LI, Jiaojiao DIAO, Wenjuan SHEN, Yali ZHANG, Hongji WU. Characterizing the effects of climate change on short-term post-disturbance forest recovery in southern China from Landsat time-series observations (1988–2016). Front. Earth Sci., 2020, 14(4): 816-827.

链接本文:

https://academic.hep.com.cn/fesci/CN/10.1007/s11707-020-0820-6
https://academic.hep.com.cn/fesci/CN/Y2020/V14/I4/816

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