Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models
1. Migration counts are popular indices used to monitor population trends over time. Advanced analytical methods for estimating abundance of unmarked, open populations now incorporate population growth models and simultaneously test for covariate effects on abundance and detection probability. Howev...
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ftzenodo:oai:zenodo.org:5002299 2024-09-15T17:54:39+00:00 Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models Kwon, Eunbi Houghton, Lawrence M. Settlage, Robert E. Catlin, Daniel H. Karpanty, Sarah M. Fraser, James D. 2019-07-11 https://doi.org/10.5061/dryad.bc1k2b3 unknown Zenodo https://doi.org/10.1111/1365-2664.13243 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.bc1k2b3 oai:zenodo.org:5002299 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode tidal effect ruddy turnstone Dail-Madsen model immigration N-mixture model daily count data seasonal abundance detection probability Arenaria interpres info:eu-repo/semantics/other 2019 ftzenodo https://doi.org/10.5061/dryad.bc1k2b310.1111/1365-2664.13243 2024-07-25T17:59:27Z 1. Migration counts are popular indices used to monitor population trends over time. Advanced analytical methods for estimating abundance of unmarked, open populations now incorporate population growth models and simultaneously test for covariate effects on abundance and detection probability. However, estimating population abundance at a staging site is complicated by daily immigration and emigration of unmarked individuals. 2. We applied a set of generalized N-mixture models to simulated count data to test their applicability for transient populations. Using simulated datasets, parameters were unbiased when the apparent survival rate varied within a season or was mis-specified in a model, but not when the immigration or detection probability was mis-specified. 3. With knowledge from the simulated data, we applied these models to daily counts of staging migratory shorebirds and estimated daily abundances accounting for variation in the detection and immigration rates. Daily counts of ruddy turnstones (Arenaria interpres) staging at Westhampton Island, New York, were collected during northward migration (1997–1999). We tested the effects of weather and tides on detection probability, and we modeled within-season variation in immigration rates as a function of time. 4. Covariates affecting the detection probability differed among years, but tide height consistently was correlated with detection probability. Accounting for detection and immigration rates, the predicted maximum single-day populations of ruddy turnstones were 172%, 165%, and 129% of the observed counts for each year. 5. Synthesis and applications. Management and conservation plans for migratory species require abundance estimates that are near the true population size though they are difficult to obtain. Our study is the first empirical application of the generalized N-mixture model that incorporates temporal trends in immigration and estimates daily abundance of a staging unmarked migratory population. Correct estimation of population sizes and the ... Other/Unknown Material Arenaria interpres Ruddy Turnstone Zenodo |
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tidal effect ruddy turnstone Dail-Madsen model immigration N-mixture model daily count data seasonal abundance detection probability Arenaria interpres |
spellingShingle |
tidal effect ruddy turnstone Dail-Madsen model immigration N-mixture model daily count data seasonal abundance detection probability Arenaria interpres Kwon, Eunbi Houghton, Lawrence M. Settlage, Robert E. Catlin, Daniel H. Karpanty, Sarah M. Fraser, James D. Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models |
topic_facet |
tidal effect ruddy turnstone Dail-Madsen model immigration N-mixture model daily count data seasonal abundance detection probability Arenaria interpres |
description |
1. Migration counts are popular indices used to monitor population trends over time. Advanced analytical methods for estimating abundance of unmarked, open populations now incorporate population growth models and simultaneously test for covariate effects on abundance and detection probability. However, estimating population abundance at a staging site is complicated by daily immigration and emigration of unmarked individuals. 2. We applied a set of generalized N-mixture models to simulated count data to test their applicability for transient populations. Using simulated datasets, parameters were unbiased when the apparent survival rate varied within a season or was mis-specified in a model, but not when the immigration or detection probability was mis-specified. 3. With knowledge from the simulated data, we applied these models to daily counts of staging migratory shorebirds and estimated daily abundances accounting for variation in the detection and immigration rates. Daily counts of ruddy turnstones (Arenaria interpres) staging at Westhampton Island, New York, were collected during northward migration (1997–1999). We tested the effects of weather and tides on detection probability, and we modeled within-season variation in immigration rates as a function of time. 4. Covariates affecting the detection probability differed among years, but tide height consistently was correlated with detection probability. Accounting for detection and immigration rates, the predicted maximum single-day populations of ruddy turnstones were 172%, 165%, and 129% of the observed counts for each year. 5. Synthesis and applications. Management and conservation plans for migratory species require abundance estimates that are near the true population size though they are difficult to obtain. Our study is the first empirical application of the generalized N-mixture model that incorporates temporal trends in immigration and estimates daily abundance of a staging unmarked migratory population. Correct estimation of population sizes and the ... |
format |
Other/Unknown Material |
author |
Kwon, Eunbi Houghton, Lawrence M. Settlage, Robert E. Catlin, Daniel H. Karpanty, Sarah M. Fraser, James D. |
author_facet |
Kwon, Eunbi Houghton, Lawrence M. Settlage, Robert E. Catlin, Daniel H. Karpanty, Sarah M. Fraser, James D. |
author_sort |
Kwon, Eunbi |
title |
Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models |
title_short |
Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models |
title_full |
Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models |
title_fullStr |
Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models |
title_full_unstemmed |
Data from: Estimating transient populations of unmarked individuals at a migratory stopover site using generalized N-mixture models |
title_sort |
data from: estimating transient populations of unmarked individuals at a migratory stopover site using generalized n-mixture models |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://doi.org/10.5061/dryad.bc1k2b3 |
genre |
Arenaria interpres Ruddy Turnstone |
genre_facet |
Arenaria interpres Ruddy Turnstone |
op_relation |
https://doi.org/10.1111/1365-2664.13243 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.bc1k2b3 oai:zenodo.org:5002299 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.bc1k2b310.1111/1365-2664.13243 |
_version_ |
1810430989346799616 |