Long-term effects of post-earthquake landslides on vegetation ecosystem net carbon

• Catastrophic shifts and recovery patterns of ecosystem net carbon uptake following the Wenchuan earthquake were revealed. • Bayesian change-point detection captured the catastrophic changes in ecosystem net carbon triggered by earthquakes. • A substantial decline in ENCU was observed post-earthquake, with a notable 17.40% reduction observed in May 2008. • As of 2019, only 45 out of the 86 affected landslide areas had successfully recovered to pre-earthquake ENCU levels. • Precipitation emerged as the key driver of ecosystem net carbon loss, while landscape fragmentation had a passive effect. Landslides significantly impact carbon dynamics across global regions, yet the long-term vegetation ecosystem net carbon effect from post-earthquake landslides remains unclear. To address this gap, this study focuses on the 2008 Wenchuan earthquake in Sichuan, China. Using landslide inventories and satellite data, we applied the Seasonal Autoregressive Integrated Moving Average Model (SARIMA) model and Bayesian change-point detection to examine long-term effects of post-earthquake landslides on vegetation ecosystem net carbon uptake (ENCU). For the restored areas, the multi-year total vegetation ecosystem net carbon loss (ENCL) was calculated for different landslide-prone areas. Subsequently, the Random Forest Regression Model and Structural Equation Model were used to explore the environmental drivers of ENCL. A substantial decline in ENCU was observed in the post-earthquake, with a 17.40 % reduction noted in May 2008. By 2019, only 45 out of 86 affected areas recovered to pre-earthquake ENCU levels, with 18 areas surpassing their initial levels. Recovery times for most landslides ranged from 8 to 11 years. From 2008 to 2019, the total ENCL across various landslide-affected areas primarily ranged from 5000 to 20,000 gC m −2 . Precipitation emerged as a key driver of ENCL, while landscape fragmentation hindered recovery. These findings underscore the need for sustainable post-earthquake land management to maintain carbon balance, offering new insights into how seismic events influence global carbon cycles.

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Publication Details

Journal
Ecological Indicators
Published
2025-02-01
DOI
https://doi.org/10.1016/j.ecolind.2025.113170
Citations
3
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
3.32

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article

Long-term effects of post-earthquake landslides on vegetation ecosystem net carbon

Wen Zeng, Jierui Li, Yajie Zeng, Shaolin Wu et al.
3 citations
Ecological Indicators
Ecosystem dynamics and resilience
3.32
article

Long-term effects of post-earthquake landslides on vegetation ecosystem net carbon

Wen Zeng, Jierui Li, Yajie Zeng, Shaolin Wu, Isaya Kisekka, Baofeng Di, Constantine A. Stamatopoulos, Joseph Kimuli Balikuddembe, Bin Zhang, Wen He, Hongkai Chen, Gang Cheng, Ruowei Li, Ufuk Yazgan
article en
3 citations

Abstract

• Catastrophic shifts and recovery patterns of ecosystem net carbon uptake following the Wenchuan earthquake were revealed. • Bayesian change-point detection captured the catastrophic changes in ecosystem net carbon triggered by earthquakes. • A substantial decline in ENCU was observed post-earthquake, with a notable 17.40% reduction observed in May 2008. • As of 2019, only 45 out of the 86 affected landslide areas had successfully recovered to pre-earthquake ENCU levels. • Precipitation emerged as the key driver of ecosystem net carbon loss, while landscape fragmentation had a passive effect. Landslides significantly impact carbon dynamics across global regions, yet the long-term vegetation ecosystem net carbon effect from post-earthquake landslides remains unclear. To address this gap, this study focuses on the 2008 Wenchuan earthquake in Sichuan, China. Using landslide inventories and satellite data, we applied the Seasonal Autoregressive Integrated Moving Average Model (SARIMA) model and Bayesian change-point detection to examine long-term effects of post-earthquake landslides on vegetation ecosystem net carbon uptake (ENCU). For the restored areas, the multi-year total vegetation ecosystem net carbon loss (ENCL) was calculated for different landslide-prone areas. Subsequently, the Random Forest Regression Model and Structural Equation Model were used to explore the environmental drivers of ENCL. A substantial decline in ENCU was observed in the post-earthquake, with a 17.40 % reduction noted in May 2008. By 2019, only 45 out of 86 affected areas recovered to pre-earthquake ENCU levels, with 18 areas surpassing their initial levels. Recovery times for most landslides ranged from 8 to 11 years. From 2008 to 2019, the total ENCL across various landslide-affected areas primarily ranged from 5000 to 20,000 gC m −2 . Precipitation emerged as a key driver of ENCL, while landscape fragmentation hindered recovery. These findings underscore the need for sustainable post-earthquake land management to maintain carbon balance, offering new insights into how seismic events influence global carbon cycles.

Ecological IndicatorsVol. 171
Inner Mongolia Agricultural University (CN), Hong Kong Polytechnic University (HK), China West Normal University (CN), Hellenic Open University (GR), Sichuan University (CN), Ya'an Polytechnic College (CN), Institute of Grassland Research (CN), State Key Laboratory of Hydraulics and Mountain River Engineering, Istanbul Technical University (TR), University of California, Davis (US)
Sichuan University
Climate action
Openalex Percentile: Top 10%
Ecosystem dynamics and resilience
3.32
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