Forest Disturbance and Restoration in China's North-South Transition Zone: A Case from the Funiu Mountains

Accurate monitoring and assessment of forest disturbance and recovery dynamics are essential for sustainable forest management, particularly in ecological transition zones. This study analyzed forest disturbance and recovery patterns in China’s Funiu Mountains from 1991 to 2020 by integrating the LandTrendr algorithm with space-time cube analysis. Using Landsat time series data and the Geodetector method, we examined both the spatiotemporal characteristics and driving factors of forest change across three periods. The results showed that (1) between 1991 and 2020, the study area experienced 131.19 km2 of forest disturbance and 495.88 km2 of recovery, with both processes most active during the 1990s; (2) spatiotemporal analysis revealed that both disturbance and recovery patterns were predominantly characterized by cold spots, suggesting relatively stable forest conditions despite localized changes; (3) human activities were the primary drivers of forest disturbance in the early period, while forest recovery was consistently influenced by the combined effects of topographic conditions and precipitation. Additionally, forest fires emerged as an important factor affecting both disturbance and recovery patterns after 2010. These findings enhance our understanding of forest dynamics in transition zones and provide empirical support for regional forest management strategies. The results also highlight the importance of considering both spatial and temporal dimensions when monitoring long-term forest changes.

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Publication Details

Journal
Forests
Published
2025-02-04
DOI
https://doi.org/10.3390/f16020269
Citations
1
Primary Topic
Forest, Soil, and Plant Ecology in China
Type
article
Field-Weighted Citation Impact
8.93

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article

Forest Disturbance and Restoration in China's North-South Transition Zone: A Case from the Funiu Mountains

Tailai Yin, Yang Xu, Qingxia Wu, Fuyuan Su et al.
1 citations
Forests
Forest, Soil, and Plant Ecology in China
8.93
article

Forest Disturbance and Restoration in China's North-South Transition Zone: A Case from the Funiu Mountains

Tailai Yin, Yang Xu, Qingxia Wu, Fuyuan Su, Haoyuan Chen, Hailong He, Jingming Hou, Shilong Hao, Shiwen Wu
article en
1 citations

Abstract

Accurate monitoring and assessment of forest disturbance and recovery dynamics are essential for sustainable forest management, particularly in ecological transition zones. This study analyzed forest disturbance and recovery patterns in China’s Funiu Mountains from 1991 to 2020 by integrating the LandTrendr algorithm with space-time cube analysis. Using Landsat time series data and the Geodetector method, we examined both the spatiotemporal characteristics and driving factors of forest change across three periods. The results showed that (1) between 1991 and 2020, the study area experienced 131.19 km2 of forest disturbance and 495.88 km2 of recovery, with both processes most active during the 1990s; (2) spatiotemporal analysis revealed that both disturbance and recovery patterns were predominantly characterized by cold spots, suggesting relatively stable forest conditions despite localized changes; (3) human activities were the primary drivers of forest disturbance in the early period, while forest recovery was consistently influenced by the combined effects of topographic conditions and precipitation. Additionally, forest fires emerged as an important factor affecting both disturbance and recovery patterns after 2010. These findings enhance our understanding of forest dynamics in transition zones and provide empirical support for regional forest management strategies. The results also highlight the importance of considering both spatial and temporal dimensions when monitoring long-term forest changes.

ForestsVol. 16(2)
North China University of Water Resources and Electric Power (CN), University of Manitoba (CA), Northwest A&F University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hainan Province
Openalex Percentile: Top 6%
Forest, Soil, and Plant Ecology in China
8.93
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