Abstract
Native to the southeastern United States, the honey locust (Gleditsia triacanthos) is an invasive tree in several South American countries. Since eradication of invasive species is often costly, prevention is a better strategy. The relationship between invasive species and their habitats can be analyzed using species distribution models to produce maps of areas prone to the invasions. These maps can be used to develop efficient early detection plans of exotic species colonization. Here, we employed the Favorability Function model to assess the effects of environment and human activities on the invasive process of the honey locust in Uruguay. By integrating environmental and anthropic factors in our models, we obtained the best fitted prediction and classification indices. We showed that the southwestern region of the country concentrates the largest proportion of areas prone to the invasions. Environment was the main factor explaining the invasion of G. triacanthos, but the effect of human-related factors had a greatest effect in combination with environmental variables than on its own. We generated favorable risk maps and explanatory variables that can be used to more efficiently plan efforts to control the spread of this invasive.
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Acknowledgements
We thank the Programa de Desarrollo de las Ciencias Básicas (PEDECIBA-Uruguay), the Sistema Nacional de Investigadores (SNI-Uruguay) of Agencia Nacional de Investigación e Innovación (ANII-Uruguay), and the Comisión Académica de Posgrado (CAP-Uruguay) for part of the publishing costs. The first version of the manuscript was reviewed by Denise Rugo services, and the current version by Professor Julia E. Fa (Manchester Metropolitan University).
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David Romero received support by a grant from the Graduate Academic Commission (Comisión Académica de Posgrado, CAP, 2018-2020) of the Universidad de la República.
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Romero, D., Sosa, B., Brazeiro, A. et al. Factors involved in the biogeography of the honey locust tree (Gleditsia triacanthos) invasion at regional scale: an integrative approach. Plant Ecol 222, 705–722 (2021). https://doi.org/10.1007/s11258-021-01139-z
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DOI: https://doi.org/10.1007/s11258-021-01139-z