Next Article in Journal
Seed Distribution and Phenotypic Variation in Different Layers of a Cunninghamia Lanceolata Seed Orchard
Previous Article in Journal
Analysis of the Cutting Strategy of Five Different Tree Species Targeting Carbon Sequestration
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Climate-Adapted Potential Vegetation—A European Multiclass Model Estimating the Future Potential of Natural Vegetation

1
Department of Forest Growth, Forest Research Institute of Baden-Wuerttemberg (FVA), Wonnhaldestraße 4, 79100 Freiburg, Germany
2
Department of Forest Conservation, Forest Research Institute of Baden-Wuerttemberg (FVA), Wonnhaldestraße 4, 79100 Freiburg, Germany
*
Author to whom correspondence should be addressed.
Forests 2023, 14(2), 239; https://doi.org/10.3390/f14020239
Submission received: 21 October 2022 / Revised: 24 January 2023 / Accepted: 26 January 2023 / Published: 28 January 2023

Abstract

Climate change will alter the site conditions for European vegetation. This is likely to shift the potential distribution of species and habitats outside its current boundaries. To enable future projections on shifts in vegetation potentials, we fitted a multiclass model to the current potential natural vegetation (PNV) of Europe using climatic predictors. The model was then applied to climate data of the time slice 2061–2080 with the Representative Concentration Pathways (RCPs) 4.5 and RCP 8.5. With an accuracy of 0.78, simulations well represented the site-equivalent vegetation types of the current PNV across Europe. Projections show drastic shifts in vegetation potentials in all parts of Europe. Boreal forests could lose up to 75% of their current potential, while Mediterranean Quercus forests and steppes would double their potential area. Deserts are projected to be on the rice, and the potential of currently widespread vegetation such as Fagus forests would be translocated. These estimated alterations of European vegetation potentials could have great effects on the stability of current forests, affecting nature conservation strategies and forest management.
Keywords: climate change; random forest classification; vegetation model climate change; random forest classification; vegetation model

Share and Cite

MDPI and ACS Style

Hinze, J.; Albrecht, A.; Michiels, H.-G. Climate-Adapted Potential Vegetation—A European Multiclass Model Estimating the Future Potential of Natural Vegetation. Forests 2023, 14, 239. https://doi.org/10.3390/f14020239

AMA Style

Hinze J, Albrecht A, Michiels H-G. Climate-Adapted Potential Vegetation—A European Multiclass Model Estimating the Future Potential of Natural Vegetation. Forests. 2023; 14(2):239. https://doi.org/10.3390/f14020239

Chicago/Turabian Style

Hinze, Jonas, Axel Albrecht, and Hans-Gerhard Michiels. 2023. "Climate-Adapted Potential Vegetation—A European Multiclass Model Estimating the Future Potential of Natural Vegetation" Forests 14, no. 2: 239. https://doi.org/10.3390/f14020239

APA Style

Hinze, J., Albrecht, A., & Michiels, H.-G. (2023). Climate-Adapted Potential Vegetation—A European Multiclass Model Estimating the Future Potential of Natural Vegetation. Forests, 14(2), 239. https://doi.org/10.3390/f14020239

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop