Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Modelling managed forest ecosystems in Sweden : An evaluation from the stand to the regional scale

Bergkvist, John LU orcid ; Lagergren, Fredrik LU ; Finnander Linderson, Maj-Lena LU ; Miller, Paul LU ; Lindeskog, Mats LU and Jönsson, Anna Maria LU (2023) In Ecological Modelling 477.
Abstract

Incorporation of a forest management module in the dynamic vegetation model LPJ-GUESS has allowed the study and predictions of management treatment effects on the carbon cycle and on forest ecosystem structure. In this study, LPJ-GUESS is evaluated at the regional scale against observational data from the Swedish National Forest Inventory. Simulated standing volume is compared against observations for the four most common forest types in the country. Furthermore, eddy-covariance flux measurements from the Integrated Carbon Observation System (ICOS) are used to evaluate model predictions of net ecosystem exchange (NEE), gross primary productivity (GPP) and ecosystem respiration (Reco) at the site scale. The model results... (More)

Incorporation of a forest management module in the dynamic vegetation model LPJ-GUESS has allowed the study and predictions of management treatment effects on the carbon cycle and on forest ecosystem structure. In this study, LPJ-GUESS is evaluated at the regional scale against observational data from the Swedish National Forest Inventory. Simulated standing volume is compared against observations for the four most common forest types in the country. Furthermore, eddy-covariance flux measurements from the Integrated Carbon Observation System (ICOS) are used to evaluate model predictions of net ecosystem exchange (NEE), gross primary productivity (GPP) and ecosystem respiration (Reco) at the site scale. The model results suggest an adequate representation of standing volume in monocultures of Norway spruce and Scots pine for regional simulations in southern and central Sweden, after an updated parameterization of the species. For northern Sweden, the standing volume in Norway spruce monocultures was overestimated with the updated parameter values. At the stand scale, the model produced mixed results for carbon fluxes when evaluated against eddy-covariance data for two sites, one in central and one in southern Sweden. The interannual variation of GPP was well captured for the central Swedish site, but the modelled average GPP for the period 2015–2019 was overestimated by 9%. For the southern Swedish site, GPP was underestimated by 15% for the corresponding period and the simulated interannual variation was half of the observed. The seasonal estimates of modelled net ecosystem exchange (NEE) deviated from observations and the simulated standing volume was underestimated by 25% for both sites. The results highlight further potential to perform species-specific calibration to capture latitudinal gradients in key ecosystem properties, and to incorporate additional characteristics of site quality which could benefit model accuracy at the scale of individual forest stands, both regarding simulated carbon fluxes and forest stand variables.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Forest ecosystems, Forest management, Norway spruce, Standing volume, Vegetation dynamics
in
Ecological Modelling
volume
477
article number
110253
publisher
Elsevier
external identifiers
  • scopus:85145017927
ISSN
0304-3800
DOI
10.1016/j.ecolmodel.2022.110253
language
English
LU publication?
yes
id
3bd0a97d-284d-404a-a739-c2e280f52ae9
date added to LUP
2023-01-04 13:17:18
date last changed
2023-11-21 17:23:12
@article{3bd0a97d-284d-404a-a739-c2e280f52ae9,
  abstract     = {{<p>Incorporation of a forest management module in the dynamic vegetation model LPJ-GUESS has allowed the study and predictions of management treatment effects on the carbon cycle and on forest ecosystem structure. In this study, LPJ-GUESS is evaluated at the regional scale against observational data from the Swedish National Forest Inventory. Simulated standing volume is compared against observations for the four most common forest types in the country. Furthermore, eddy-covariance flux measurements from the Integrated Carbon Observation System (ICOS) are used to evaluate model predictions of net ecosystem exchange (NEE), gross primary productivity (GPP) and ecosystem respiration (R<sub>eco</sub>) at the site scale. The model results suggest an adequate representation of standing volume in monocultures of Norway spruce and Scots pine for regional simulations in southern and central Sweden, after an updated parameterization of the species. For northern Sweden, the standing volume in Norway spruce monocultures was overestimated with the updated parameter values. At the stand scale, the model produced mixed results for carbon fluxes when evaluated against eddy-covariance data for two sites, one in central and one in southern Sweden. The interannual variation of GPP was well captured for the central Swedish site, but the modelled average GPP for the period 2015–2019 was overestimated by 9%. For the southern Swedish site, GPP was underestimated by 15% for the corresponding period and the simulated interannual variation was half of the observed. The seasonal estimates of modelled net ecosystem exchange (NEE) deviated from observations and the simulated standing volume was underestimated by 25% for both sites. The results highlight further potential to perform species-specific calibration to capture latitudinal gradients in key ecosystem properties, and to incorporate additional characteristics of site quality which could benefit model accuracy at the scale of individual forest stands, both regarding simulated carbon fluxes and forest stand variables.</p>}},
  author       = {{Bergkvist, John and Lagergren, Fredrik and Finnander Linderson, Maj-Lena and Miller, Paul and Lindeskog, Mats and Jönsson, Anna Maria}},
  issn         = {{0304-3800}},
  keywords     = {{Forest ecosystems; Forest management; Norway spruce; Standing volume; Vegetation dynamics}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Ecological Modelling}},
  title        = {{Modelling managed forest ecosystems in Sweden : An evaluation from the stand to the regional scale}},
  url          = {{http://dx.doi.org/10.1016/j.ecolmodel.2022.110253}},
  doi          = {{10.1016/j.ecolmodel.2022.110253}},
  volume       = {{477}},
  year         = {{2023}},
}