Literature DB >> 25703827

Modelling the influence of predicted future climate change on the risk of wind damage within New Zealand's planted forests.

John R Moore1, Michael S Watt2.   

Abstract

Wind is the major abiotic disturbance in New Zealand's planted forests, but little is known about how the risk of wind damage may be affected by future climate change. We linked a mechanistic wind damage model (ForestGALES) to an empirical growth model for radiata pine (Pinus radiata D. Don) and a process-based growth model (cenw) to predict the risk of wind damage under different future emissions scenarios and assumptions about the future wind climate. The cenw model was used to estimate site productivity for constant CO2 concentration at 1990 values and for assumed increases in CO2 concentration from current values to those expected during 2040 and 2090 under the B1 (low), A1B (mid-range) and A2 (high) emission scenarios. Stand development was modelled for different levels of site productivity, contrasting silvicultural regimes and sites across New Zealand. The risk of wind damage was predicted for each regime and emission scenario combination using the ForestGALES model. The sensitivity to changes in the intensity of the future wind climate was also examined. Results showed that increased tree growth rates under the different emissions scenarios had the greatest impact on the risk of wind damage. The increase in risk was greatest for stands growing at high stand density under the A2 emissions scenario with increased CO2 concentration. The increased productivity under this scenario resulted in increased tree height, without a corresponding increase in diameter, leading to more slender trees that were predicted to be at greater risk from wind damage. The risk of wind damage was further increased by the modest increases in the extreme wind climate that are predicted to occur. These results have implications for the development of silvicultural regimes that are resilient to climate change and also indicate that future productivity gains may be offset by greater losses from disturbances.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  ForestGALES; Pinus radiata; cenw; climate change; mechanistic models; radiata pine; wind damage

Mesh:

Year:  2015        PMID: 25703827     DOI: 10.1111/gcb.12900

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  1 in total

1.  Forest disturbances under climate change.

Authors:  Rupert Seidl; Dominik Thom; Markus Kautz; Dario Martin-Benito; Mikko Peltoniemi; Giorgio Vacchiano; Jan Wild; Davide Ascoli; Michal Petr; Juha Honkaniemi; Manfred J Lexer; Volodymyr Trotsiuk; Paola Mairota; Miroslav Svoboda; Marek Fabrika; Thomas A Nagel; Christopher P O Reyer
Journal:  Nat Clim Chang       Date:  2017-05-31
  1 in total

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