At What Scales and Why Does Forest Structure Vary in Naturally Dynamic Boreal Forests? An Analysis of Forest Landscapes on Two Continents

Visa fullständig post



Permalänk

http://hdl.handle.net/10138/303115

Citation

Kulha , N A , Pasanen , L , Holmström , L , Grandpre , L D , Kuuluvainen , T T & Aakala , T 2019 , ' At What Scales and Why Does Forest Structure Vary in Naturally Dynamic Boreal Forests? An Analysis of Forest Landscapes on Two Continents ' , Ecosystems , vol. 22 , no. 4 , pp. 709-724 . https://doi.org/10.1007/s10021-018-0297-2

Titel: At What Scales and Why Does Forest Structure Vary in Naturally Dynamic Boreal Forests? An Analysis of Forest Landscapes on Two Continents
Författare: Kulha, Niko Aleksi; Pasanen, Leena; Holmström, Lasse; Grandpre, Louis de; Kuuluvainen, Timo Tapio; Aakala, Tuomas
Upphovmannens organisation: Department of Forest Sciences
Boreal forest dynamics and biodiversity research group
Forest Ecology and Management
Forest Economics, Business and Society
Datum: 2019-06
Språk: eng
Sidantal: 16
Tillhör serie: Ecosystems
ISSN: 1432-9840
DOI: https://doi.org/10.1007/s10021-018-0297-2
Permanenta länken (URI): http://hdl.handle.net/10138/303115
Abstrakt: Identifying the scales of variation in forest structures and the underlying processes are fundamental for understanding forest dynamics. Here, we studied these scale-dependencies in forest structure in naturally dynamic boreal forests on two continents. We identified the spatial scales at which forest structures varied, and analyzed how the scales of variation and the underlying drivers differed among the regions and at particular scales. We studied three 2kmx2km landscapes in northeastern Finland and two in eastern Canada. We estimated canopy cover in contiguous 0.1-ha cells from aerial photographs and used scale-derivative analysis to identify characteristic scales of variation in the canopy cover data. We analyzed the patterns of variation at these scales using Bayesian scale space analysis. We identified structural variation at three spatial scales in each landscape. Among landscapes, the largest scale of variation showed the greatest variability (20.1-321.4ha), related to topography, soil variability, and long-term disturbance history. Superimposed on this large-scale variation, forest structure varied at similar scales (1.3-2.8ha) in all landscapes. This variation correlated with recent disturbances, soil variability, and topographic position. We also detected intense variation at the smallest scale analyzed (0.1ha, grain of our data), partly driven by recent disturbances. The distinct scales of variation indicated hierarchical structure in the landscapes studied. Except for the large-scale variation, these scales were remarkably similar among the landscapes. This suggests that boreal forests may display characteristic scales of variation that occur somewhat independent of the tree species characteristics or the disturbance regime.
Subject: 4112 Forestry
forest dynamics
Canopy cover
aerial photography
bayesian inference
eastern Canada
northern Fennoscandia
cap dynamics
black spruce
fire history
tree
stands
productivity
growth
patterns
regeneration
fennoscandia
Referentgranskad: Ja
Användningsbegränsning: openAccess
Parallelpublicerad version: acceptedVersion
Finansierad av: Unknown funder
Finansierings ID:


Filer under denna titel

Totalt antal nerladdningar: Laddar...

Filer Storlek Format Granska
Kulha_et_al._Ecosystems.pdf 1.424Mb PDF Granska/Öppna

Detta dokument registreras i samling:

Visa fullständig post