Conditionally autoregressive models improve occupancy analyses of autocorrelated data: An example with environmental DNA-Reference-Cited by-同舟云学术

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Conditionally autoregressive models improve occupancy analyses of autocorrelated data: An example with environmental DNA

Published:2018-11 Issue:1 Volume:19 Page:163-175
ISSN:1755-098X
Container-title:Molecular Ecology Resources
language:en
Short-container-title:Mol Ecol Resour

Author:

Chen Wentao¹^ORCID,Ficetola Gentile Francesco¹²^ORCID

Affiliation:

1. Laboratoire d’Écologie Alpine (LECA) CNRS Univ. Grenoble Alpes Grenoble France

2. Department of Environmental Science and Policy Università degli Studi di Milano Milano Italy

Funder

Labex

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1755-0998.12949

Reference54 articles.

1. A Bayesian hierarchical occupancy model for track surveys conducted in a series of linear, spatially correlated, sites

2. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

3. Regression analysis of spatial data

4. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

5. Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods

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1. Integrating spatial stream network models and environmental DNA to estimate current and future distributions of nonnative Smallmouth Bass;Transactions of the American Fisheries Society;2024-01-25

2. Pooling of intra-site measurements inflates variability of the correlation between environmental DNA concentration and organism abundance;Environmental Monitoring and Assessment;2023-07-12

3. Sensitive and efficient surveillance of Japanese giant salamander (Andrias japonicus) distribution in Western Japan using multi-copy nuclear DNA marker;2023-01-24

4. Terrestrial Fauna and Hominin DNA from Sedimentary Archives;Tracking Environmental Change Using Lake Sediments;2023

5. Environmental DNA of insects and springtails from caves reveals complex processes of eDNA transfer in soils;Science of The Total Environment;2022-06

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