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Model-based analysis of the influence of ecological processes on forest point pattern formation—A case study

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  • Pommerening, Arne
  • LeMay, Valerie
  • Stoyan, Dietrich

Abstract

Many different spatio-temporal individual-based models (IBM) for forests have been developed for studying the development of trees in space and time. Such models typically depend on various numerical parameters that represent the ecological processes of growth (G), inter-plant competition (C) and birth-and-death (B&D; also called regeneration and mortality). Until now little work has been done to systematically trace the influence of these processes and their model parameters on the spatial structure of forest ecosystems.

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  • Pommerening, Arne & LeMay, Valerie & Stoyan, Dietrich, 2011. "Model-based analysis of the influence of ecological processes on forest point pattern formation—A case study," Ecological Modelling, Elsevier, vol. 222(3), pages 666-678.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:3:p:666-678
    DOI: 10.1016/j.ecolmodel.2010.10.019
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    References listed on IDEAS

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    1. White, Thomas & Luckai, Nancy & Larocque, Guy R. & Kurz, Werner A. & Smyth, Carolyn, 2008. "A practical approach for assessing the sensitivity of the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3)," Ecological Modelling, Elsevier, vol. 219(3), pages 373-382.
    2. Nanos, Nikos & Larson, Kajsa & Millerón, Matias & Sjöstedt-de Luna, Sara, 2010. "Inverse modeling for effective dispersal: Do we need tree size to estimate fecundity?," Ecological Modelling, Elsevier, vol. 221(20), pages 2415-2424.
    3. Renshaw, Eric & Sarkka, Aila, 2001. "Gibbs point processes for studying the development of spatial-temporal stochastic processes," Computational Statistics & Data Analysis, Elsevier, vol. 36(1), pages 85-105, March.
    4. Saloranta, Tuomo M. & Andersen, Tom, 2007. "MyLake—A multi-year lake simulation model code suitable for uncertainty and sensitivity analysis simulations," Ecological Modelling, Elsevier, vol. 207(1), pages 45-60.
    5. Sarkka, Aila & Renshaw, Eric, 2006. "The analysis of marked point patterns evolving through space and time," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1698-1718, December.
    6. Renshaw, Eric & Mateu, Jorge & Saura, Fuensanta, 2007. "Disentangling mark/point interaction in marked-point processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3123-3144, March.
    7. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    Cited by:

    1. A. Gyawali & R. P. Sharma & S.K. Bhandari, 2015. "Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 61(12), pages 535-543.
    2. Häbel, Henrike & Myllymäki, Mari & Pommerening, Arne, 2019. "New insights on the behaviour of alternative types of individual-based tree models for natural forests," Ecological Modelling, Elsevier, vol. 406(C), pages 23-32.
    3. Pommerening, Arne & Szmyt, Janusz & Zhang, Gongqiao, 2020. "A new nearest-neighbour index for monitoring spatial size diversity: The hyperbolic tangent index," Ecological Modelling, Elsevier, vol. 435(C).
    4. Peters, Ronny & Lin, Yue & Berger, Uta, 2016. "Machine learning meets individual-based modelling: Self-organising feature maps for the analysis of below-ground competition among plants," Ecological Modelling, Elsevier, vol. 326(C), pages 142-151.
    5. Pommerening, Arne & Särkkä, Aila, 2013. "What mark variograms tell about spatial plant interactions," Ecological Modelling, Elsevier, vol. 251(C), pages 64-72.
    6. Pommerening, Arne & Sterba, Hubert & West, Philip, 2022. "Sampling theory inspires quantitative forest ecology: The story of the relascope kernel function," Ecological Modelling, Elsevier, vol. 467(C).

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