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

Bibliographic Data

ID21648566
AuthorsQin Yang (0000-0002-5777-1645, School of Information Engineering China University of Geosciences Beijing China), Zhi Huang (0000-0003-1595-5347, School of Information Engineering China University of Geosciences Beijing China), Zhi Xiong Huang (0000-0002-0233-195X, Hengyang Normal University), Ling Wu (0000-0001-5406-6927, School of Information Engineering China University of Geosciences Beijing China), Binbin Guo (0000-0002-8402-9761, College of Geography and Tourism Hengyang Normal University Hengyang China), Meiling Liu (0009-0009-4384-8101, School of Information Engineering China University of Geosciences Beijing China), Xiaojing Xue (School of Information Engineering China University of Geosciences Beijing China), Xiaoyue Li (0000-0001-8059-1127, China University of Geosciences (Beijing)), Xiaoyue Yasin Li (0000-0002-0118-4759, School of Information Engineering China University of Geosciences Beijing China), Xiangnan Liu (0000-0003-0036-7091, School of Information Engineering China University of Geosciences Beijing China, corresponding author)
Year2024
Volume35
Issue7
Pages2329-2344
Publication date2024-04-30
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.5063
OpenAlexW4392042230
LanguageEN
Citations received1
References cited63

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) spatially on net ecosystem production (NEP) (proxy for carbon stocks) time series (1981–2019) in red soil hilly region (RSHR) of subtropical China. The spatial parameters (e.g., the number, magnitude, and time of changes) used to construct resilience metrics were generated based on BFAST‐derived breakpoints. These metrics were then utilized to analyze the dynamics of forest resilience in relation to EEPs factors in terms of plantation area, forest type, and stand age. Our results observed 92.77% of breakpoints in NEP after 2000, which corresponds well with the periods that multiple EEPs were conducted. NEP resilience showed great variability during 2001–2019, with a positive increasing trend in resistance ( R 2 = 0.72) and a continuous decline ( R 2 = 0.37) in recovery, indicating an unhealthy ecosystem in RSHR. Our findings revealed that forest resistance was strongly associated with plantation area ( R = 0.71), and the presence of monoculture and young coniferous forest may be the potential factors for the decline in recovery. This suggested that forest resilience in RSHR is mainly modulated by large‐scale EEPs

Biology · China · Ecological resilience · Ecosystem · Environmental resource management · Geography · Primary production · Psychological resilience · Subtropics · Tropical and subtropical moist broadleaf forests · Environmental Science · Forest Management and Policy · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Ecology

Tools

Open DOIOpen Access