Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta
A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Biology, University of Regina. xvi, 122 p. Widespread population declines of grassland birds have stimulated a variety of conservation plans, many of w...
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2014
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ftunivregina:oai:ourspace.uregina.ca:10294/5851 2023-10-09T21:51:12+02:00 Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta Clements, Nathan David Brigham, Mark Davis, Stephen Somers, Christopher Bayne, Erin 2014-10 application/pdf http://hdl.handle.net/10294/5851 http://ourspace.uregina.ca/bitstream/handle/10294/5851/Clements_Nathan_200261917_MSC_BIOL_Spring2015.pdf en eng Faculty of Graduate Studies and Research, University of Regina http://hdl.handle.net/10294/5851 TC-SRU-5851 http://ourspace.uregina.ca/bitstream/handle/10294/5851/Clements_Nathan_200261917_MSC_BIOL_Spring2015.pdf Thesis 2014 ftunivregina 2023-09-16T22:14:35Z A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Biology, University of Regina. xvi, 122 p. Widespread population declines of grassland birds have stimulated a variety of conservation plans, many of which promote a landscape approach to conservation. Identifying needs for survival and reproduction, and prioritizing key habitat requirements that influence where species occur on the landscape is an essential first step to guiding long term management efforts. I used single-species, single-season occupancy models to (1) identify landscape factors influencing the distribution of grassland bird species, (2) generate predictions of species distributions in southeastern Alberta, and (3) evaluate the predictive performance of each species model with two sources of evaluation data. In 2012, I conducted three repeat surveys at each of 870 point count locations to generate occupancy models, and evaluated the predictive performance of each model using a partitioned data set from 2012 and an independent data set of 1398 point counts collected in 2011. Records of detection/non-detection were collected for: Baird's Sparrow (Ammodramus bairdii), Brown-headed Cowbird (Molothrus ater), Chestnut-collared Longspur (Calcarius ornatus), Clay-colored Sparrow (Spizella pallida), Horned Lark (Eremophila alpestris), Long-billed Curlew (Numenius americanus), Marbled Godwit (Limosa fedoa), McCown's Longspur (Rhynchophanes mccownii), Savannah Sparrow (Passerculus sandwichensis), Sprague's Pipit (Anthus spragueii), Upland Sandpiper (Bartramia longicauda), Vesper Sparrow (Pooecetes gramineus), Western Meadowlark (Sturnella neglecta), and Willet (Tringa semipalmata). Models that best explained detectability typically included both date and time of day of the survey. The amount of grassland on the landscape was a broadly useful measure in predicting occupancy. Variables describing landscape topography and the geographic location (i.e., latitude ... Thesis Eremophila alpestris oURspace - The University of Regina's Institutional Repository |
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oURspace - The University of Regina's Institutional Repository |
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ftunivregina |
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description |
A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Biology, University of Regina. xvi, 122 p. Widespread population declines of grassland birds have stimulated a variety of conservation plans, many of which promote a landscape approach to conservation. Identifying needs for survival and reproduction, and prioritizing key habitat requirements that influence where species occur on the landscape is an essential first step to guiding long term management efforts. I used single-species, single-season occupancy models to (1) identify landscape factors influencing the distribution of grassland bird species, (2) generate predictions of species distributions in southeastern Alberta, and (3) evaluate the predictive performance of each species model with two sources of evaluation data. In 2012, I conducted three repeat surveys at each of 870 point count locations to generate occupancy models, and evaluated the predictive performance of each model using a partitioned data set from 2012 and an independent data set of 1398 point counts collected in 2011. Records of detection/non-detection were collected for: Baird's Sparrow (Ammodramus bairdii), Brown-headed Cowbird (Molothrus ater), Chestnut-collared Longspur (Calcarius ornatus), Clay-colored Sparrow (Spizella pallida), Horned Lark (Eremophila alpestris), Long-billed Curlew (Numenius americanus), Marbled Godwit (Limosa fedoa), McCown's Longspur (Rhynchophanes mccownii), Savannah Sparrow (Passerculus sandwichensis), Sprague's Pipit (Anthus spragueii), Upland Sandpiper (Bartramia longicauda), Vesper Sparrow (Pooecetes gramineus), Western Meadowlark (Sturnella neglecta), and Willet (Tringa semipalmata). Models that best explained detectability typically included both date and time of day of the survey. The amount of grassland on the landscape was a broadly useful measure in predicting occupancy. Variables describing landscape topography and the geographic location (i.e., latitude ... |
author2 |
Brigham, Mark Davis, Stephen Somers, Christopher Bayne, Erin |
format |
Thesis |
author |
Clements, Nathan David |
spellingShingle |
Clements, Nathan David Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta |
author_facet |
Clements, Nathan David |
author_sort |
Clements, Nathan David |
title |
Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta |
title_short |
Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta |
title_full |
Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta |
title_fullStr |
Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta |
title_full_unstemmed |
Using Occupancy Models to Predict Grassland Bird Distributions in Southeastern Alberta |
title_sort |
using occupancy models to predict grassland bird distributions in southeastern alberta |
publisher |
Faculty of Graduate Studies and Research, University of Regina |
publishDate |
2014 |
url |
http://hdl.handle.net/10294/5851 http://ourspace.uregina.ca/bitstream/handle/10294/5851/Clements_Nathan_200261917_MSC_BIOL_Spring2015.pdf |
genre |
Eremophila alpestris |
genre_facet |
Eremophila alpestris |
op_relation |
http://hdl.handle.net/10294/5851 TC-SRU-5851 http://ourspace.uregina.ca/bitstream/handle/10294/5851/Clements_Nathan_200261917_MSC_BIOL_Spring2015.pdf |
_version_ |
1779314293141929984 |