Spatial occupancy models for data collected on stream networks

Fuente: arXiv
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Autore principale: Gimenez, Olivier
Natura: Preprint
Pubblicazione: 2024
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author Gimenez, Olivier
author_facet Gimenez, Olivier
contents To effectively monitor biodiversity in streams and rivers, we need to quantify species distribution accurately. Occupancy models are useful for distinguishing between the non-detection of a species and its actual absence. While these models can account for spatial autocorrelation, they are not suited for streams and rivers due to their unique network spatial structure. Here, I propose spatial occupancy models specifically designed for data collected on stream and river networks. I present the statistical developments and illustrate their application using data on a semi-aquatic mammal. Overall, spatial stream network occupancy models offer a robust method for assessing biodiversity in freshwater ecosystems.
format Preprint
id arxiv_https___arxiv_org_abs_2409_10017
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spatial occupancy models for data collected on stream networks
Gimenez, Olivier
Applications
To effectively monitor biodiversity in streams and rivers, we need to quantify species distribution accurately. Occupancy models are useful for distinguishing between the non-detection of a species and its actual absence. While these models can account for spatial autocorrelation, they are not suited for streams and rivers due to their unique network spatial structure. Here, I propose spatial occupancy models specifically designed for data collected on stream and river networks. I present the statistical developments and illustrate their application using data on a semi-aquatic mammal. Overall, spatial stream network occupancy models offer a robust method for assessing biodiversity in freshwater ecosystems.
title Spatial occupancy models for data collected on stream networks
topic Applications
url https://arxiv.org/abs/2409.10017