Simulated forest multifunctionality under climate change and forest management
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Graphical abstract
view moreCredit: Du, X., Lei, X.D., He, X., Lan, J., Guo, H., Xu. Q.G.
The ecological, economic, social and cultural values of forests have gained increasing recognition among the public. Traditionally focused on timber production, forest management objectives have shifted toward enhancing ecosystem multifunctionality. Forest ecosystem service multifunctionality refers to a forest's ability to simultaneously provide multiple services for human well-being.
In a recent study published in the KeAi journal Forest Ecosystems, researchers in China applied a transition matrix growth model to simulate the effects of various management strategies on forest ecosystem services and multifunctionality in the context of climate change. Conducted in Jilin Province, northeastern China, the study incorporated climate change factors to reveal how appropriate management can enhance forest multifunctionality across all climate scenarios.
"Transition matrix growth models are widely employed as powerful tools in forestry due to their simple structure and ease of application, enabling long-term predictions for forests with complex structures, " explains Xue Du, first author of the study. “However, they have not previously been used to predict and simulate forest multifunctionality.”
Climate change and forest management are two crucial factors affecting forest multifunctionality. Simulating the effects of different management and climate scenarios on forest ecosystem services is essential for maximizing the multifunctionality of forests.
The team’s findings highlighted the significant impact of forest management on ecosystem services, which outweighed the effects of climate scenarios alone.
“No single management scenario maximized all forest ecosystem services,” says Du. “Nonetheless, an upper-story thinning management strategy with a 5% intensity emerged as the most effective for forest multifunctionality, surpassing the lowest values by more than 20% across all climate scenarios for natural mixed forests.”
According to corresponding author Xiangdong Lei, ecosystem services and multifunctionality can be enhanced through appropriate management measures amidst a changing climate.
“Our study underscores the potential of transition matrix growth models as decision support tools,” says Lei. “We aim to provide recommendations for long-term strategies for multifunctional forest management in light of future climate change.”
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Contact the author: Xiangdong Lei, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China, E-mail: xdlei@ifrit.ac.cn
The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 100 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).
Journal
Forest Ecosystems
Method of Research
Computational simulation/modeling
Subject of Research
Not applicable
Article Title
Ecosystem service multifunctionality of mixed conifer-broad-leaved forests under climate change and forest management based on matrix growth modelling
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