TY - JOUR
T1 - Long-term effects of post-earthquake landslides on vegetation ecosystem net carbon
AU - He, Wen
AU - Di, Baofeng
AU - Wu, Shaolin
AU - Li, Jierui
AU - Zeng, Wen
AU - Zeng, Yajie
AU - Li, Ruowei
AU - Balikuddembe, Joseph Kimuli
AU - Chen, Hongkai
AU - Zhang, Bin
AU - Chen, Gang
AU - Stamatopoulos, Constantine A.
AU - Yazgan, Ufuk
AU - Kisekka, Isaya
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/2
Y1 - 2025/2
N2 - 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.
AB - 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.
KW - Landscape fragmentation
KW - Net carbon loss
KW - Net carbon uptake
KW - Recovery pattern
KW - Wenchuan earthquake
UR - http://www.scopus.com/inward/record.url?scp=85216563898&partnerID=8YFLogxK
U2 - 10.1016/j.ecolind.2025.113170
DO - 10.1016/j.ecolind.2025.113170
M3 - Article
AN - SCOPUS:85216563898
SN - 1470-160X
VL - 171
JO - Ecological Indicators
JF - Ecological Indicators
M1 - 113170
ER -