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Modelling potential yield capacity in conifers using Swedish long-term experiments

Appiah Mensah, Alex and Holmström, Emma and Nyström, Kenneth and Nilsson, Urban (2022). Modelling potential yield capacity in conifers using Swedish long-term experiments. Forest Ecology and Management. 512 , 120162
[Research article]

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Abstract

Information on forest site productivity is a key component to assess the carbon sequestration potential of boreal forests. While site index (SI) is commonly used to indicate forest site productivity, expressions of SI in the form of yield capacity (potential maximum mean annual volume increment) is desirable since volume yield is central to the economic and ecological analyses of a given species and site. This paper assessed the functional relationship between SI and yield capacity on the basis of yield plot data from long-term experiments measured over several decades for Norway spruce (Picea abies), Scots pine (Pinus sylvestris), Lodgepole pine (Pinus contorta) and Larch (Larix decidua and Larix sibirica) in Sweden. Component models of total basal area and volume yield were also developed. SI was determined by existing height development functions using top height and age, whereas functions for stand-level (m2 ha- 1) basal area development were constructed based on age, SI and initial stand density using difference equations and nonlinear mixed-effects models. The relation between volume yield (m3 ha- 1) and top height was adjusted with total basal area production through nonlinear mixed-effects models. Species-specific parametric regression models were used to construct functional relationships between SI and yield capacity. The root mean square errors of the species-specific models ranged from 2 to 6% and 10-18% of the average values for the basal area and volume equations, respectively. For the yield capacity functions, the explained variations (R2) were within 80-96%. We compared our yield capacity functions to earlier functions of the species and significant differences were observed in both lower and higher SI classes, especially, for Scots pine and Norway spruce. The new functions give better prediction of yield capacity in current growing conditions; hence, they could later be used for comparing tree species' production under similar site and management regimes in Sweden.

Authors/Creators:Appiah Mensah, Alex and Holmström, Emma and Nyström, Kenneth and Nilsson, Urban
Title:Modelling potential yield capacity in conifers using Swedish long-term experiments
Series Name/Journal:Forest Ecology and Management
Year of publishing :2022
Volume:512
Article number:120162
Number of Pages:21
Publisher:ELSEVIER
ISSN:0378-1127
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:Forest site productivity, Site index, Yield capacity, Regression, Boreal forest, Climate change
URN:NBN:urn:nbn:se:slu:epsilon-p-116813
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116813
Additional ID:
Type of IDID
DOI10.1016/j.foreco.2022.120162
Web of Science (WoS)000777210000002
ID Code:27653
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management

(S) > Southern Swedish Forest Research Centre
Deposited By: SLUpub Connector
Deposited On:29 Apr 2022 09:27
Metadata Last Modified:29 Apr 2022 09:31

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