Work

Spatial occupancy models for data collected on stream networks

Year: 2024

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2409.10017

Author: Gimenez, Olivier

Institutions: Centre National de la Recherche Scientifique, École Pratique des Hautes Études, Université de Montpellier, Centre d'Écologie Fonctionnelle et Évolutive, Institut de Recherche pour le Développement

Language: English

Topic: Wildlife Ecology and Conservation

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

Funder: Fondation pour la Recherche sur la Biodiversite

OpenAlex ID: W4403702480

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