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Resilience changes of carbon stocks to quantify the long-term effects of ecological engineering projects in subtropical forests of China based on satellite-derived net ecosystem production time series and inventory data

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成果类型:
期刊论文
作者:
Yang, Qin;Huang, Zhi;Wu, Ling;Guo, Binbin;Liu, Meiling;...
通讯作者:
Liu, XN
作者机构:
[Li, Xiaoyue; Wu, Ling; Liu, Xiangnan; Huang, Zhi; Yang, Qin; Liu, Meiling; Xue, Xiaojing] China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China.
[Guo, Binbin; Huang, Zhi] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang, Peoples R China.
通讯机构:
[Liu, XN ] C
China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China.
语种:
英文
关键词:
BFAST algorithm;carbon stocks;change detection;ecological engineering;forest management
期刊:
Land Degradation & Development
ISSN:
1085-3278
年:
2024
卷:
35
期:
7
基金类别:
The 2023 Graduate Innovation Fund Project of China University of Geosciences, Beijing [ZD2023YC052]; Natural Science Foundation of Hunan Province [2021JJ40012]; National Natural Science Foundation of China [41871223]; Scientific Research Fund of Hunan Provincial Education Department [20A072]
机构署名:
本校为其他机构
摘要:
Abstract Understanding how resilient forests are to ecological engineering projects (EEPs) is essential to forest management and ecosystem health. Despite growing evidence that EEPs achieve increasing carbon stocks, whether such benefits can be sustainable and what are the consequences of EEPs on forest health remain unclear. This study aimed to investigate the long‐term effects of EEPs using forest resilience from aspects of resistance and recovery, by applying a change detection algorithm (breaks for additive seasonal and trend; BFAST) spati...

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