What can occupancy models gain from time-to-detection data?
detection heterogeneity
negative binomial distribution
occupancy probability
time-to-detection model
Journal
Ecology
ISSN: 1939-9170
Titre abrégé: Ecology
Pays: United States
ID NLM: 0043541
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
revised:
03
06
2022
received:
19
01
2022
accepted:
13
06
2022
pubmed:
26
7
2022
medline:
3
12
2022
entrez:
25
7
2022
Statut:
ppublish
Résumé
The time taken to detect a species during site occupancy surveys contains information about the observation process. Accounting for the observation process leads to better inference about site occupancy. We explore the gain in efficiency that can be obtained from time-to-detection (TTD) data and show that this model type has a significant benefit for estimating the parameters related to detection intensity. However, for estimating occupancy probability parameters, the efficiency improvement is generally very minor. To explore whether TTD data could add valuable information when detection intensities vary between sites and surveys, we developed a mixed exponential TTD occupancy model. This new model can simultaneously estimate the detection intensity and aggregation parameters when the number of detectable individuals at the site follows a negative binomial distribution. We found that this model provided a much better description of the occupancy patterns than conventional detection/nondetection methods among 63 bird species data from the Karoo region of South Africa. Ignoring the heterogeneity of detection intensity in the TTD model generally yielded a negative bias in the estimated occupancy probability. Using simulations, we briefly explore study design trade offs between numbers of sites and surveys for different occupancy modeling strategies.
Banques de données
Dryad
['10.5061/dryad.msbcc2fv7']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e3832Informations de copyright
© 2022 The Ecological Society of America.
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