Modelling the impacts of climate change and harvesting on carbon dynamics in representative subtropical secondary forests: A case study from Hunan Province, China

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY
Longjun Wang , Haoyun Liu , Zelin Liu , Tong Li , Peng Li , Ziying Zou , Xiaolu Zhou , Weifeng Wang , Changhui Peng , Wenhua Xiang , Cong Liu
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Abstract

Climate change and forest harvesting are key drivers of carbon dynamics in forest ecosystems. In this study, we applied the TRIPLEX-Management model to simulate the carbon sequestration potential of subtropical secondary forests in Hunan Province, China, from 2015 to 2060. The model was validated using data from 530 forest sample plots. Results confirm a good agreement between simulated NPP and observations (R2=0.73; P<0.01). Simulations were further conducted under three climate change scenarios (SSP126, SSP245, SSP585) and two harvesting strategies (whole-tree harvesting, WTH; and stem-only harvesting, SOH). Results showed that climate change enhanced both net primary productivity (NPP) and net ecosystem productivity (NEP). WTH generally led to higher cumulative NEP compared to no harvesting and SOH. Under the high-emission SSP585 scenario and with earlier harvesting (e.g., in 2030), the longer recovery period promoted greater NEP accumulation over the simulation period, resulting in the highest cumulative NEP. Our results suggest that combining WTH with early harvesting under projected climate change can maximize carbon sequestration. Overall, the interaction between climate change and harvesting determines the long-term carbon sink potential of subtropical secondary forests. These findings highlight that climate-smart forest management, adapted to different forest types and future climate scenarios, could significantly contribute to regional carbon neutrality goals by 2060.
气候变化和采伐对代表性亚热带次生林碳动态的影响模拟——以湖南省为例
气候变化和森林采伐是森林生态系统碳动态的关键驱动因素。本研究采用TRIPLEX-Management模型对2015 - 2060年湖南省亚热带次生林的固碳潜力进行了模拟。利用530个森林样地的数据对模型进行了验证。结果证实模拟NPP与观测值吻合良好(R2=0.73;术中,0.01)。在3种气候变化情景(SSP126、SSP245、SSP585)和2种采伐策略(全树采伐、WTH;纯茎收割(SOH)。结果表明,气候变化提高了净初级生产力(NPP)和净生态系统生产力(NEP)。与没有收获和SOH相比,WTH通常会导致更高的累积NEP。在高排放SSP585情景下,采收较早(如2030年),较长的恢复期促进了模拟期间更大的NEP积累,导致累积NEP最高。我们的研究结果表明,在预测的气候变化下,将WTH与早期收获相结合可以最大限度地实现碳固存。总体而言,气候变化与采伐的相互作用决定了亚热带次生林的长期碳汇潜力。这些研究结果强调,适应不同森林类型和未来气候情景的气候智慧型森林管理可以为到2060年实现区域碳中和目标做出重大贡献。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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