Citas bibligráficas
Lajo, R., (2017). Calidad de hábitat a partir de índices de habitabilidad en el Perú - caso: Simosciurus nebouxii (Rodentia: Sciuridae) [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3076
Lajo, R., Calidad de hábitat a partir de índices de habitabilidad en el Perú - caso: Simosciurus nebouxii (Rodentia: Sciuridae) [Tesis]. : Universidad Nacional Agraria La Molina; 2017. https://hdl.handle.net/20.500.12996/3076
@mastersthesis{renati/248073,
title = "Calidad de hábitat a partir de índices de habitabilidad en el Perú - caso: Simosciurus nebouxii (Rodentia: Sciuridae)",
author = "Lajo Salazar, Rosario Leticia",
publisher = "Universidad Nacional Agraria La Molina",
year = "2017"
}
The species-habitat relation is very complex, but the main aspects can be described through a model that can be useful in different fields. Here we propose the habitat suitability index models as a valid methodology for their use in Peru. In this study the case of white-naped squirrel Simosciurs nebouxii is analysed in two different habitats. One of them is a natural area where the species is native, and the other is an urban area where it has been introduced.The elaboration process of each one include some modifications in comparison to the original method. This modifications are the new data collection to fill gaps in the basic information of the species, and the use of field data to calibrate and verify the model. In this way it is demonstrated that the method is flexible enough to be applied in different conditions, and also that it is a good and practical alternative that provide data to make decisions regarding fauna management actions for conservation or sustainable use. As products of this study, it provides three documents, the first two are the habitat suitability indexes documentation of both cases, and the other contains some modifications and recommendations to apply the method of habitat suitability index models in the Peruvian context.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons