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LoggingLab: An R package to simulate reduced-impact selective logging in tropical forests using forest inventory data

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  • Badouard, Vincyane
  • Schmitt, Sylvain
  • Salzet, Guillaume
  • Gaquiere, Thomas
  • Rojat, Margaux
  • Bedeau, Caroline
  • Brunaux, Olivier
  • Derroire, Géraldine

Abstract

Even where Reduced-Impact Logging (RIL) practices are applied, selective logging causes substantial damage to tropical forests. To further reduce selective logging damage, the practices that cause the most damage need to be identified and alternatives tested. To this end, we developed the R package LoggingLab, a spatially-explicit and individual tree-based selective logging simulator and demonstrated its functions using data from French Guiana. LoggingLab explicitly simulates damage during each stage of the selective logging process taking into account topography and hydrography, which are main constraints on logging. Most LoggingLab parameters can be easily adjusted to a wide range of local contexts. LoggingLab can also be coupled with forest dynamics models to simulate the long- term effects of different selective logging scenarios.

Suggested Citation

  • Badouard, Vincyane & Schmitt, Sylvain & Salzet, Guillaume & Gaquiere, Thomas & Rojat, Margaux & Bedeau, Caroline & Brunaux, Olivier & Derroire, Géraldine, 2024. "LoggingLab: An R package to simulate reduced-impact selective logging in tropical forests using forest inventory data," Ecological Modelling, Elsevier, vol. 487(C).
    • Handle: RePEc:eee:ecomod:v:487:y:2024:i:c:s0304380023002697
    DOI: 10.1016/j.ecolmodel.2023.110539
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    References listed on IDEAS

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    1. Boltz, Frederick & Holmes, Thomas P. & Carter, Douglas R., 2003. "Economic and environmental impacts of conventional and reduced-impact logging in Tropical South America: a comparative review," Forest Policy and Economics, Elsevier, vol. 5(1), pages 69-81, January.
    2. Sato, Hisashi & Itoh, Akihiko & Kohyama, Takashi, 2007. "SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach," Ecological Modelling, Elsevier, vol. 200(3), pages 279-307.
    3. Jos Barlow & Filipe França & Toby A. Gardner & Christina C. Hicks & Gareth D. Lennox & Erika Berenguer & Leandro Castello & Evan P. Economo & Joice Ferreira & Benoit Guénard & Cecília Gontijo Leal & V, 2018. "The future of hyperdiverse tropical ecosystems," Nature, Nature, vol. 559(7715), pages 517-526, July.
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