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A method for predicting species trajectories tested with trees in barro colorado tropical forest

Author

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  • Fort, Hugo
  • Grigera, Tomás S.

Abstract

The ability to predict changes in the abundances of the species in ecological communities is essential for sustainable management, biodiversity conservation, and community restoration.

Suggested Citation

  • Fort, Hugo & Grigera, Tomás S., 2021. "A method for predicting species trajectories tested with trees in barro colorado tropical forest," Ecological Modelling, Elsevier, vol. 446(C).
    • Handle: RePEc:eee:ecomod:v:446:y:2021:i:c:s0304380021000752
    DOI: 10.1016/j.ecolmodel.2021.109504
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    References listed on IDEAS

    as
    1. Fort, Hugo, 2018. "On predicting species yields in multispecies communities: Quantifying the accuracy of the linear Lotka-Volterra generalized model," Ecological Modelling, Elsevier, vol. 387(C), pages 154-162.
    2. Dieguez Cameroni, Francisco & Fort, Hugo, 2017. "Towards scientifically based management of extensive livestock farming in terms of ecological predator-prey modeling," Agricultural Systems, Elsevier, vol. 153(C), pages 127-137.
    Full references (including those not matched with items on IDEAS)

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