Predicting the responses of boreal forests to climate-fire-vegetation interactions in Northeast China. (July 2022)
- Record Type:
- Journal Article
- Title:
- Predicting the responses of boreal forests to climate-fire-vegetation interactions in Northeast China. (July 2022)
- Main Title:
- Predicting the responses of boreal forests to climate-fire-vegetation interactions in Northeast China
- Authors:
- Huang, Chao
Feng, Jiayuan
Tang, Fangran
He, Hong S.
Liang, Yu
Wu, Mia M.
Xu, Wenru
Liu, Bo
Shi, Fuxi
Chen, Fusheng - Abstract:
- Abstract: Climate change could alter species composition, with feedback on fire disturbances by modifying fuel types and loads. However, the existing fire predictions were mainly based on climate-fire linkages that might overestimate the probability and size of fire disturbances due to simplifying or omitting vegetation feedback. We applied a model-coupling framework that combines forest succession, climate-fire linkages, and vegetation feedback to predict burned area, aboveground biomass, and species composition of boreal forests in Northeast China under climate change conditions. Results showed that climate change and fire would favor the recruitment of deciduous species, but these species need a long-time to replace the existing coniferous species. Burned area would increase with climate change. Climate change, historical and future fire disturbances affect aboveground biomass by altering tree mortality and regeneration. Further studies should address strategies for altering species composition through forest management practices to adaptation climate change and reduce carbon losses from fire. Graphical abstract: Image 1 Highlights: We applied a model-coupling framework to simulate the response of boreal forest to climate-fire-vegetation interactions. Climate change and fire would favor the recruitment of drought-tolerant species. Climate change would significantly increase the burned area of boreal forests. Climate change, historical and future fire disturbance wouldAbstract: Climate change could alter species composition, with feedback on fire disturbances by modifying fuel types and loads. However, the existing fire predictions were mainly based on climate-fire linkages that might overestimate the probability and size of fire disturbances due to simplifying or omitting vegetation feedback. We applied a model-coupling framework that combines forest succession, climate-fire linkages, and vegetation feedback to predict burned area, aboveground biomass, and species composition of boreal forests in Northeast China under climate change conditions. Results showed that climate change and fire would favor the recruitment of deciduous species, but these species need a long-time to replace the existing coniferous species. Burned area would increase with climate change. Climate change, historical and future fire disturbances affect aboveground biomass by altering tree mortality and regeneration. Further studies should address strategies for altering species composition through forest management practices to adaptation climate change and reduce carbon losses from fire. Graphical abstract: Image 1 Highlights: We applied a model-coupling framework to simulate the response of boreal forest to climate-fire-vegetation interactions. Climate change and fire would favor the recruitment of drought-tolerant species. Climate change would significantly increase the burned area of boreal forests. Climate change, historical and future fire disturbance would affect aboveground biomass of boreal forests. It is necessary to implement forest management strategies to alter species composition for reducing burned area and carbon losses from catastrophic fires. … (more)
- Is Part Of:
- Environmental modelling & software. Volume 153(2022)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 153(2022)
- Issue Display:
- Volume 153, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 153
- Issue:
- 2022
- Issue Sort Value:
- 2022-0153-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-07
- Subjects:
- Climate change -- Vegetation feedback -- Forest landscape model -- Model coupling -- Wildfire -- Boreal forests
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2022.105410 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
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- Legaldeposit
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