On the identification of mortality hotspots in linear infrastructures.

One of the main tasks when dealing with the impacts of infrastructures on wildlife is to identify hotspots of high mortality so one can devise and implement mitigation measures. A common strategy to identify hotspots is to divide an infrastructure into several segments and determine when the number of collisions in a segment is above a given threshold, reflecting a desired significance level that is obtained assuming a probability distribution for the number of collisions, which is often the Poisson distribution. The problem with this approach, when applied to each segment individually, is that the probability of identifying false hotspots (Type I error) is potentially high. The way to solve this problem is to recognize that it requires multiple testing corrections or a Bayesian approach. Here, we apply three different methods that implement the required corrections to the identification of hotspots: (i) the familywise error rate … Palabras clave: Infrastructure planning, Mortality

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Borda-de-Água L. Ascensão F. Sapage M. Barrientos R. y Pereira H.M. On the identification of mortality hotspots in linear infrastructures. Urban & Fischer, 2019. https://doi.org/10.1016/j.baae.2018.11.001

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Tipo de recurso Texto
Fecha de creación 02-12-2024
Fecha de última modificación 18-01-2025
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Identificador de los metadatos 025d9723-a169-590d-b7c0-7a89a266c9a4
Idioma de los metadatos Español
Temáticas (NTI-RISP)
Categoría del conjunto de alto valor (HVD)
Categoría temática ISO 19115 biota
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Nombre del autor Borda-de-Água, L., Ascensão, F., Sapage, M., Barrientos, R. y Pereira, H.M.
Nombre del editor Urban & Fischer
Identificador alternativo DOI: 10.1016/j.baae.2018.11.001
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