Primary Research Article
Climate change implications of shifting forest management strategy in a boreal forest ecosystem of Norway
Version of Record online: 26 NOV 2013
© 2013 John Wiley & Sons Ltd
Global Change Biology
Volume 20, Issue 2, pages 607–621, February 2014
How to Cite
Bright, R. M., Antón-Fernández, C., Astrup, R., Cherubini, F., Kvalevåg, M. and Strømman, A. H. (2014), Climate change implications of shifting forest management strategy in a boreal forest ecosystem of Norway. Global Change Biology, 20: 607–621. doi: 10.1111/gcb.12451
- Issue online: 7 JAN 2014
- Version of Record online: 26 NOV 2013
- Manuscript Accepted: 9 OCT 2013
- Manuscript Received: 10 JUL 2013
- Norwegian Research Council. Grant Number: 210464
Data S1. Relative contributions to local climate change from changes to surface intrinsic biophysical mechanisms.
Data S2. Uncertainty.
Data S3. Modeling Adjustments: RCP Scenarios.
Data S4. Alternative Figures: Results.
Table S1. Overview of meteorological and remote sensing variables employed in the stand-level/local impact analysis.
Figure S1. Six-year mean 8-day MODIS ET, Black-sky Albedo, LAI, and FPAR observations at each stand in our local-scale analysis, shown with standard deviation as indicator of interannual variability. Biophysical variables are grouped by color and row, and sites are grouped by column. Data are for a single MODIS pixel of ca. 1 km2. 6-year annual means and standard deviations are shown in legends.
Figure S2. Full 6-year time series of key radiative, aerodynamic, and physiological parameters applied in the stand-scale local climate impact analysis. Top: Roughness lengths for momentum (left) and aerodynamic resistances to heat and momentum transfer (right); Middle: Black-sky albedo at local solar noon (left) and Bowen ratios (right); Bottom: Leaf Area Index (left) and Fractional Vegetation Coverage (right).
Figure S3. Monte Carlo simulation mean (1000 replications) NEE flux, HP flux, and surface albedo for each scenario shown with one standard deviation.
Figure S4. Radiative efficiency per kg CO2 emitted to the atmosphere for the two emission scenarios linked to representative concentration pathways (RCPs) 4.5 and 8.5 compared to the 2010 concentration of 389 ppm.
Figure S5. Full 6-year time series contributions to daily local surface temperature across three managed sites due to differences in surface albedo (‘∆Albedo RF’), aerodynamic roughness (‘∆Roughness’), and the partitioning of net radiation into sensible and latent turbulent heat fluxes (‘∆Bowen’). (A) Clear-cut site – Deciduous site; (B) Clear-cut – Coniferous site; (C) Deciduous – Coniferous forest.
Figure S6. Simulation means of absolute spring and autumn albedo trajectories (lefthand y-axis, blue line colors) in the BAU scenario under projected regional climate warming (right-hand y-axis, green line colors).
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