IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v440y2021ics0304380020304464.html
   My bibliography  Save this article

SIMREG, a tree-level distance-independent model to simulate forest dynamics and management from national forest inventory (NFI) data

Author

Listed:
  • Perin, Jérôme
  • Pitchugin, Mikhail
  • Hébert, Jacques
  • Brostaux, Yves
  • Lejeune, Philippe
  • Ligot, Gauthier

Abstract

SIMREG is a non-deterministic tree-level distance independent forest model that can simulate forest growth, yield and management on a regional scale while representing the wide diversity of composition, structure and management found in forest stands. It is composed of several sub-models to represent the main forest dynamics (growth, recruitment, removal, clearcut and reforestation) and to account for species composition, stand density, tree size and social status, forest ownership type and some sites characteristics. We used the data collected by the permanent forest inventory of Wallonia (IPRFW) between 1994 and 2015 to calibrate SIMREG and forecast the development of Wallonia's 479 500 ha of productive forest (465 million simulated trees) until 2050. According to our simulation, the harvesting rate of Norway spruce (the main production species) is currently unsustainable and it is gradually being replaced by other species such as Douglas-fir, larch and various hardwoods. It appears that in terms of total softwood volume production, the higher production level of Douglas-fir and larch should eventually compensate for the decline in spruce. In contrast, the harvest rate in hardwood stands is around 75% of the annual yield, resulting in a steady increase in the total hardwood stock of about 600 000 m³ per year. Our methodology is easily replicable and the data required for sub-model calibration are consistent with those measured by most permanent NFIs, so our forest simulation model could be adapted to other regions and countries.

Suggested Citation

  • Perin, Jérôme & Pitchugin, Mikhail & Hébert, Jacques & Brostaux, Yves & Lejeune, Philippe & Ligot, Gauthier, 2021. "SIMREG, a tree-level distance-independent model to simulate forest dynamics and management from national forest inventory (NFI) data," Ecological Modelling, Elsevier, vol. 440(C).
    • Handle: RePEc:eee:ecomod:v:440:y:2021:i:c:s0304380020304464
    DOI: 10.1016/j.ecolmodel.2020.109382
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020304464
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109382?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pretzsch, Hans & Forrester, David I. & Rötzer, Thomas, 2015. "Representation of species mixing in forest growth models. A review and perspective," Ecological Modelling, Elsevier, vol. 313(C), pages 276-292.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christophe Orazio & Rebeca Cordero Montoya & Margot Régolini & José G. Borges & Jordi Garcia-Gonzalo & Susana Barreiro & Brigite Botequim & Susete Marques & Róbert Sedmák & Róbert Smreček & Yvonne Bro, 2017. "Decision Support Tools and Strategies to Simulate Forest Landscape Evolutions Integrating Forest Owner Behaviour: A Review from the Case Studies of the European Project, INTEGRAL," Sustainability, MDPI, vol. 9(4), pages 1-31, April.
    2. Qin Ma & Yanjun Su & Chunyue Niu & Qin Ma & Tianyu Hu & Xiangzhong Luo & Xiaonan Tai & Tong Qiu & Yao Zhang & Roger C. Bales & Lingli Liu & Maggi Kelly & Qinghua Guo, 2023. "Tree mortality during long-term droughts is lower in structurally complex forest stands," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Pretzsch, Hans, 2022. "Facilitation and competition reduction in tree species mixtures in Central Europe: Consequences for growth modeling and forest management," Ecological Modelling, Elsevier, vol. 464(C).
    4. Tosto, Ambra & Morales, Alejandro & Rahn, Eric & Evers, Jochem B. & Zuidema, Pieter A. & Anten, Niels P.R., 2023. "Simulating cocoa production: A review of modelling approaches and gaps," Agricultural Systems, Elsevier, vol. 206(C).
    5. Diana-Maria Seserman & Dirk Freese, 2019. "Handling Data Gaps in Reported Field Measurements of Short Rotation Forestry," Data, MDPI, vol. 4(4), pages 1-16, September.
    6. Ram P Sharma & Zdeněk Vacek & Stanislav Vacek & Vilém Podrázský & Václav Jansa, 2017. "Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-23, October.
    7. Forrester, David I. & Tang, Xiaolu, 2016. "Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model," Ecological Modelling, Elsevier, vol. 319(C), pages 233-254.
    8. Pinnschmidt, Arne & Yousefpour, Rasoul & Nölte, Anja & Hanewinkel, Marc, 2023. "Tropical mixed-species plantations can outperform monocultures in terms of carbon sequestration and economic return," Ecological Economics, Elsevier, vol. 211(C).
    9. Strimbu, Bogdan M. & Paun, Mihaela & Montes, Cristian & Popescu, Sorin C., 2018. "A scalar measure tracing tree species composition in space or time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 682-692.
    10. Elevitch, Craig R. & Johnson, C. Richard, 2020. "A procedure for ranking parameter importance for estimation in predictive mechanistic models," Ecological Modelling, Elsevier, vol. 419(C).
    11. Gupta, Rajit & Sharma, Laxmi Kant, 2019. "The process-based forest growth model 3-PG for use in forest management: A review," Ecological Modelling, Elsevier, vol. 397(C), pages 55-73.
    12. Schwaiger, Fabian & Poschenrieder, Werner & Rötzer, Thomas & Biber, Peter & Pretzsch, Hans, 2018. "Groundwater recharge algorithm for forest management models," Ecological Modelling, Elsevier, vol. 385(C), pages 154-164.
    13. García, Oscar, 2017. "Cohort aggregation modelling for complex forest stands: Spruce–aspen mixtures in British Columbia," Ecological Modelling, Elsevier, vol. 343(C), pages 109-122.
    14. Barbosa, Lorena Oliveira & dos Santos, Juscelina Arcanjo & Gonçalves, Anny Francielly Ataide & Campoe, Otávio Camargo & Scolforo, José Roberto Soares & Scolforo, Henrique Ferraço, 2023. "Competition in forest plantations: Empirical and process-based modelling in pine and eucalypt plantations," Ecological Modelling, Elsevier, vol. 483(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:440:y:2021:i:c:s0304380020304464. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.