Modelling managed forest ecosystems in Sweden : An evaluation from the stand to the regional scale
(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.
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- author
- Bergkvist, John LU ; Lagergren, Fredrik LU ; Finnander Linderson, Maj-Lena LU ; Miller, Paul LU ; Lindeskog, Mats LU and Jönsson, Anna Maria LU
- organization
-
- Dept of Physical Geography and Ecosystem Science
- BECC: Biodiversity and Ecosystem services in a Changing Climate
- LU Profile Area: Nature-based future solutions
- eSSENCE: The e-Science Collaboration
- Centre for Environmental and Climate Science (CEC)
- MERGE: ModElling the Regional and Global Earth system
- publishing date
- 2023-03
- 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}}, }