Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance
Loss of habitat and human disturbance are major factors in the worldwide decline of shorebird populations, including that of the threatened migratory piping plover (Charadrius melodus). From 2013 to 2018, we conducted land-based surveys of the shorebird community every other week during the peak pip...
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ftmdpi:oai:mdpi.com:/2073-445X/12/4/863/ 2023-08-20T04:05:43+02:00 Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance Eve Bohnett Jessica Schulz Robert Dobbs Thomas Hoctor Dave Hulse Bilal Ahmad Wajid Rashid Hardin Waddle agris 2023-04-11 application/pdf https://doi.org/10.3390/land12040863 EN eng Multidisciplinary Digital Publishing Institute Land, Biodiversity, and Human Wellbeing https://dx.doi.org/10.3390/land12040863 https://creativecommons.org/licenses/by/4.0/ Land; Volume 12; Issue 4; Pages: 863 piping plover thin plate spline occupancy model migratory shorebirds multispecies occupancy N -mixture models Text 2023 ftmdpi https://doi.org/10.3390/land12040863 2023-08-01T09:38:47Z Loss of habitat and human disturbance are major factors in the worldwide decline of shorebird populations, including that of the threatened migratory piping plover (Charadrius melodus). From 2013 to 2018, we conducted land-based surveys of the shorebird community every other week during the peak piping plover season (September to March). We assessed the ability of a thin plate spline occupancy model to identify hotspot locations on Whiskey Island, Louisiana, for the piping plover and four additional shorebird species (Wilson’s plover (Charadrius wilsonia), snowy plover (Charadrius nivosus), American oystercatcher (Haematopus palliatus), and red knot (Calidris canutus)). By fitting single-species occupancy models with geographic thin plate spline parameters, hotspot priority regions for conserving piping plovers and the multispecies shorebird assemblage were identified on the island. The occupancy environmental covariate, distance to the coastline, was weakly fitting, where the spatially explicit models were heavily dependent on the spatial spline parameter for distribution estimation. Additionally, the detectability parameters for Julian date and tide stage affected model estimations, resulting in seemingly inflated estimates compared to assuming perfect detection. The models predicted species distributions, biodiversity, high-use habitats for conservation, and multispecies conservation areas using a thin-plate spline for spatially explicit estimation without significant landscape variables, demonstrating the applicability of this modeling approach for defining areas on a landscape that are more heavily used by a species or multiple species. Text Calidris canutus Red Knot MDPI Open Access Publishing Land 12 4 863 |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
piping plover thin plate spline occupancy model migratory shorebirds multispecies occupancy N -mixture models |
spellingShingle |
piping plover thin plate spline occupancy model migratory shorebirds multispecies occupancy N -mixture models Eve Bohnett Jessica Schulz Robert Dobbs Thomas Hoctor Dave Hulse Bilal Ahmad Wajid Rashid Hardin Waddle Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance |
topic_facet |
piping plover thin plate spline occupancy model migratory shorebirds multispecies occupancy N -mixture models |
description |
Loss of habitat and human disturbance are major factors in the worldwide decline of shorebird populations, including that of the threatened migratory piping plover (Charadrius melodus). From 2013 to 2018, we conducted land-based surveys of the shorebird community every other week during the peak piping plover season (September to March). We assessed the ability of a thin plate spline occupancy model to identify hotspot locations on Whiskey Island, Louisiana, for the piping plover and four additional shorebird species (Wilson’s plover (Charadrius wilsonia), snowy plover (Charadrius nivosus), American oystercatcher (Haematopus palliatus), and red knot (Calidris canutus)). By fitting single-species occupancy models with geographic thin plate spline parameters, hotspot priority regions for conserving piping plovers and the multispecies shorebird assemblage were identified on the island. The occupancy environmental covariate, distance to the coastline, was weakly fitting, where the spatially explicit models were heavily dependent on the spatial spline parameter for distribution estimation. Additionally, the detectability parameters for Julian date and tide stage affected model estimations, resulting in seemingly inflated estimates compared to assuming perfect detection. The models predicted species distributions, biodiversity, high-use habitats for conservation, and multispecies conservation areas using a thin-plate spline for spatially explicit estimation without significant landscape variables, demonstrating the applicability of this modeling approach for defining areas on a landscape that are more heavily used by a species or multiple species. |
format |
Text |
author |
Eve Bohnett Jessica Schulz Robert Dobbs Thomas Hoctor Dave Hulse Bilal Ahmad Wajid Rashid Hardin Waddle |
author_facet |
Eve Bohnett Jessica Schulz Robert Dobbs Thomas Hoctor Dave Hulse Bilal Ahmad Wajid Rashid Hardin Waddle |
author_sort |
Eve Bohnett |
title |
Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance |
title_short |
Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance |
title_full |
Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance |
title_fullStr |
Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance |
title_full_unstemmed |
Shorebird Monitoring Using Spatially Explicit Occupancy and Abundance |
title_sort |
shorebird monitoring using spatially explicit occupancy and abundance |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/land12040863 |
op_coverage |
agris |
genre |
Calidris canutus Red Knot |
genre_facet |
Calidris canutus Red Knot |
op_source |
Land; Volume 12; Issue 4; Pages: 863 |
op_relation |
Land, Biodiversity, and Human Wellbeing https://dx.doi.org/10.3390/land12040863 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/land12040863 |
container_title |
Land |
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12 |
container_issue |
4 |
container_start_page |
863 |
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1774716430833418240 |