Fragmentation and degradation of forest habitats affects (the susceptibility of several species is high) highly sensitive species, provoking a serious decrease in biodiversity. To deal with this problem it is necessary to consider the conservation level of bioindicator species and the development of a sustainable forest management of the natural resources. Within this framework, the current study poses the statistical binomial logit modeling to identify the potential habitat of endemic birds (Rhinocryptids) in rain forests in the south of Chile, biodiversity “hostpot” worldwide. The research allowed to identify a potential area of habitat of 14619 hectares with high probability presence of the studied birds. This area presented certain habitat constraints both topographic and vegetation factors. The studied birds showed a high selection of habitats associated to mixed forests of Nothofagus species, sites with high stratification and understory presence. The low quantity of Rhinocryptidae family species was associated to exclusive forests of Araucaria araucana, which exist at higher altitudes. The model of potential habitat of bioindicator birdlife (avifauna) within a system of geographic information it is presented as an efficient tool of information among the degree of alteration of ecosystems and for decision-makings in native forest management.
CITATION STYLE
Moreno, R., Molina, J. R., Machuca, M. Á. H., Soler, N. S., & Zamora, R. (2017). Habitat modeling for the family of rhinocryptids in the rain forest in the south of Chile. Revista Arvore, 41(6). https://doi.org/10.1590/1806-90882017000600012
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