IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v319y2016icp233-254.html
   My bibliography  Save this article

Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model

Author

Listed:
  • Forrester, David I.
  • Tang, Xiaolu

Abstract

The growth dynamics and ecosystem services from mixed-species stands are often difficult to predict because the way a given combination of species interacts changes as resource availability or climatic conditions change from site to site or as stands develop over time. Empirical data for many of these situations is often nonexistent. The forest growth model 3-PG was adapted for mixed-species forests and for thinned stands by modifying the light-absorption routine and allowing for within-canopy vertical gradients in climate in the water balance routine. It was also adapted for deciduous species and to predict diameter distributions. The resulting model, 3-PGmix, was used to examine the growth dynamics of subtropical mixed-species forests containing Castanopsis sclerophylla, Cunninghamia lanceolata and Liquidambar formosana, with a wide range of stand densities in Shitai County, Anhui Province, China. After parameterizing and calibrating 3-PGmix using data from monocultures, its predictions of leaf and stem biomass, basal area and light absorption by each species within the mixture were highly correlated with measured values. 3-PGmix also predicted spatial and temporal changes in complementarity, expressed as the relative differences in growth of a given species in mixture compared with its monoculture. Complementarity was predicted to change as the stands developed, across gradients in fertility and rainfall, and also at different stand densities. Such information could be used to suggest potential species compositions, species proportions and thinning regimes for new mixed-species plantations or the responses of existing mixtures to changes in species proportions, stand density and climate. 3-PG is widely used as a routine management tool for monospecific stands and this study shows that it could potentially be used for mixed-species stands as well.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:319:y:2016:i:c:p:233-254
    DOI: 10.1016/j.ecolmodel.2015.07.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015003166
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.07.010?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. Miehle, Peter & Battaglia, Michael & Sands, Peter J. & Forrester, David I. & Feikema, Paul M. & Livesley, Stephen J. & Morris, Jim D. & Arndt, Stefan K., 2009. "A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations," Ecological Modelling, Elsevier, vol. 220(5), pages 734-746.
    2. Xenakis, Georgios & Ray, Duncan & Mencuccini, Maurizio, 2008. "Sensitivity and uncertainty analysis from a coupled 3-PG and soil organic matter decomposition model," Ecological Modelling, Elsevier, vol. 219(1), pages 1-16.
    3. Jiangshan Lai & Bo Yang & Dunmei Lin & Andrew J Kerkhoff & Keping Ma, 2013. "The Allometry of Coarse Root Biomass: Log-Transformed Linear Regression or Nonlinear Regression?," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-8, October.
    4. 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.
    5. Wang, Weifeng & Peng, Changhui & Zhang, S.Y. & Zhou, Xiaolu & Larocque, Guy R. & Kneeshaw, Daniel D. & Lei, Xiangdong, 2011. "Development of TRIPLEX-Management model for simulating the response of forest growth to pre-commercial thinning," Ecological Modelling, Elsevier, vol. 222(14), pages 2249-2261.
    6. Forrester, David I., 2014. "A stand-level light interception model for horizontally and vertically heterogeneous canopies," Ecological Modelling, Elsevier, vol. 276(C), pages 14-22.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nölte, Anja & Yousefpour, Rasoul & Hanewinkel, Marc, 2020. "Changes in sessile oak (Quercus petraea) productivity under climate change by improved leaf phenology in the 3-PG model," Ecological Modelling, Elsevier, vol. 438(C).
    2. Mathys, A.S. & Coops, N.C. & Simard, S.W. & Waring, R.H. & Aitken, S.N., 2018. "Diverging distribution of seedlings and mature trees reflects recent climate change in British Columbia," Ecological Modelling, Elsevier, vol. 384(C), pages 145-153.
    3. Simant Rimal & Marc Djahangard & Rasoul Yousefpour, 2022. "Forest Management under Climate Change: A Decision Analysis of Thinning Interventions for Water Services and Biomass in a Norway Spruce Stand in South Germany," Land, MDPI, vol. 11(3), pages 1-18, March.
    4. 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.
    5. 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).
    6. Xie, Yalin & Lei, Xiangdong & Shi, Jingning, 2020. "Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model," Ecological Modelling, Elsevier, vol. 435(C).
    7. 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).
    8. Forrester, David I. & England, Jacqueline R. & Paul, Keryn I. & Roxburgh, Stephen H., 2024. "Sensitivity analysis of the FullCAM model: Context dependency and implications for model development to predict Australia's forest carbon stocks," Ecological Modelling, Elsevier, vol. 489(C).
    9. Lessa Derci Augustynczik, Andrey & Yousefpour, Rasoul, 2021. "Assessing the synergistic value of ecosystem services in European beech forests," Ecosystem Services, Elsevier, vol. 49(C).

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Xie, Yalin & Lei, Xiangdong & Shi, Jingning, 2020. "Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model," Ecological Modelling, Elsevier, vol. 435(C).
    6. Turley, Marianne C. & Ford, E. David, 2009. "Definition and calculation of uncertainty in ecological process models," Ecological Modelling, Elsevier, vol. 220(17), pages 1968-1983.
    7. Hannah Capes & Robert J. Maillardet & Thomas G. Baker & Christopher J. Weston & Don McGuire & Ian C. Dumbrell & Andrew P. Robinson, 2017. "The Allometric Quarter-Power Scaling Model and Its Applicability to Grand Fir and Eucalyptus Trees," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 562-584, December.
    8. Bagnara, Maurizio & Van Oijen, Marcel & Cameron, David & Gianelle, Damiano & Magnani, Federico & Sottocornola, Matteo, 2018. "Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest," Ecological Modelling, Elsevier, vol. 371(C), pages 90-100.
    9. Nölte, Anja & Yousefpour, Rasoul & Hanewinkel, Marc, 2020. "Changes in sessile oak (Quercus petraea) productivity under climate change by improved leaf phenology in the 3-PG model," Ecological Modelling, Elsevier, vol. 438(C).
    10. 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).
    11. Simant Rimal & Marc Djahangard & Rasoul Yousefpour, 2022. "Forest Management under Climate Change: A Decision Analysis of Thinning Interventions for Water Services and Biomass in a Norway Spruce Stand in South Germany," Land, MDPI, vol. 11(3), pages 1-18, March.
    12. Debojyoti Chakraborty & Albert Ciceu & Dalibor Ballian & Marta Benito Garzón & Andreas Bolte & Gregor Bozic & Rafael Buchacher & Jaroslav Čepl & Eva Cremer & Alexis Ducousso & Julian Gaviria & Jan Pet, 2024. "Assisted tree migration can preserve the European forest carbon sink under climate change," Nature Climate Change, Nature, vol. 14(8), pages 845-852, August.
    13. Collalti, Alessio & Perugini, Lucia & Santini, Monia & Chiti, Tommaso & Nolè, Angelo & Matteucci, Giorgio & Valentini, Riccardo, 2014. "A process-based model to simulate growth in forests with complex structure: Evaluation and use of 3D-CMCC Forest Ecosystem Model in a deciduous forest in Central Italy," Ecological Modelling, Elsevier, vol. 272(C), pages 362-378.
    14. Ngugi, Michael R. & Botkin, Daniel B., 2011. "Validation of a multispecies forest dynamics model using 50-year growth from Eucalyptus forests in eastern Australia," Ecological Modelling, Elsevier, vol. 222(17), pages 3261-3270.
    15. Yeste, Antonio & Seely, Brad & Imbert, J. Bosco & Blanco, Juan A., 2024. "Sensitivity of long-term productivity estimations in mixed forests to uncertain parameters related to fine roots," Ecological Modelling, Elsevier, vol. 490(C).
    16. Bagnara, Maurizio & Sottocornola, Matteo & Cescatti, Alessandro & Minerbi, Stefano & Montagnani, Leonardo & Gianelle, Damiano & Magnani, Federico, 2015. "Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems," Ecological Modelling, Elsevier, vol. 306(C), pages 57-66.
    17. 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).
    18. 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.
    19. Rahn, Eric & Vaast, Philippe & Läderach, Peter & van Asten, Piet & Jassogne, Laurence & Ghazoul, Jaboury, 2018. "Exploring adaptation strategies of coffee production to climate change using a process-based model," Ecological Modelling, Elsevier, vol. 371(C), pages 76-89.
    20. M. Ashraf & Charles Bourque & David MacLean & Thom Erdle & Fan-Rui Meng, 2015. "Estimation of potential impacts of climate change on growth and yield of temperate tree species," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(1), pages 159-178, January.

    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:319:y:2016:i:c:p:233-254. 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.