Climate change, tree species distributions and forest dynamics: A case study in the mixed conifer/northern hardwoods zone of northern Europe

1996 ◽  
Vol 34 (2) ◽  
Author(s):  
MartinT. Sykes ◽  
I.Colin Prentice
Keyword(s):  
Climate Change ◽  
Tree Species ◽  
Forest Dynamics ◽  
Species Distributions ◽  
Northern Europe ◽  
Northern Hardwoods ◽  
Mixed Conifer ◽  
Tree Species Distributions

How much does climate change threaten European forest tree species distributions?

2017 ◽  
Vol 24 (3) ◽  
pp. 1150-1163 ◽  
Author(s):  
Marcin K. Dyderski ◽  
Sonia Paź ◽  
Lee E. Frelich ◽  
Andrzej M. Jagodziński
Keyword(s):  
Climate Change ◽  
Tree Species ◽  
Species Distributions ◽  
Forest Tree ◽  
Forest Tree Species ◽  
European Forest ◽  
Tree Species Distributions

scholarly journals Chasing a moving target: projecting climate change-induced shifts in non-equilibrial tree species distributions

2013 ◽  
Vol 101 (2) ◽  
pp. 441-453 ◽  
Author(s):  
Raúl García-Valdés ◽  
Miguel A. Zavala ◽  
Miguel B. Araújo ◽  
Drew W. Purves
Keyword(s):  
Climate Change ◽  
Tree Species ◽  
Species Distributions ◽  
Moving Target ◽  
Tree Species Distributions

Intra-specific variability and plasticity influence potential tree species distributions under climate change

2011 ◽  
Vol 20 (5) ◽  
pp. 766-778 ◽  
Author(s):  
Marta Benito Garzón ◽  
Ricardo Alía ◽  
T. Matthew Robson ◽  
Miguel A. Zavala
Keyword(s):  
Climate Change ◽  
Tree Species ◽  
Species Distributions ◽  
Tree Species Distributions

Using a dynamic forest model to predict tree species distributions

2016 ◽  
Vol 25 (3) ◽  
pp. 347-358 ◽  
Author(s):  
Alvaro G. Gutiérrez ◽  
Rebecca S. Snell ◽  
Harald Bugmann
Keyword(s):  
Tree Species ◽  
Species Distributions ◽  
Forest Model ◽  
Tree Species Distributions

scholarly journals Application of a computationally efficient method to approximate gap model results with a probabilistic approach

2014 ◽  
Vol 7 (1) ◽  
pp. 1535-1600
Author(s):  
M. Scherstjanoi ◽  
J. O. Kaplan ◽  
H. Lischke
Keyword(s):  
Climate Change ◽  
Efficient Method ◽  
Tree Species ◽  
Forest Dynamics ◽  
Probabilistic Approach ◽  
Age Distribution ◽  
Change Scenario ◽  
Model Parameters ◽  
Computationally Efficient ◽  
Tree Species Composition

Abstract. To be able to simulate climate change effects on forest dynamics over the whole of Switzerland, we adapted the second generation DGVM LPJ-GUESS to the Alpine environment. We modified model functions, tuned model parameters, and implemented new tree species to represent the potential natural vegetation of Alpine landscapes. Furthermore, we increased the computational efficiency of the model to enable area-covering simulations in a fine resolution (1 km) sufficient for the complex topography of the Alps, which resulted in more than 32 000 simulation grid cells. To this aim, we applied the recently developed method GAPPARD (Scherstjanoi et al., 2013) to LPJ-GUESS. GAPPARD derives mean output values from a combination of simulation runs without disturbances and a patch age distribution defined by the disturbance frequency. With this computationally efficient method, that increased the model's speed by approximately the factor 8, we were able to faster detect shortcomings of LPJ-GUESS functions and parameters. We used the adapted LPJ-GUESS together with GAPPARD to assess the influence of one climate change scenario on dynamics of tree species composition and biomass throughout the 21st century in Switzerland. To allow for comparison with the original model, we additionally simulated forest dynamics along a north-south-transect through Switzerland. The results from this transect confirmed the high value of the GAPPARD method despite some limitations towards extreme climatic events. It allowed for the first time to obtain area-wide, detailed high resolution LPJ-GUESS simulation results for a large part of the Alpine region.

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