Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files
This data set consists of fourteen data files. Rcode_arctic_peregrine_abundance.R contains R code that was used to analyze Arctic peregrine falcon data collected between 1981 and 2002. The code primarily uses the R package "UNMARKED" and is based on the Dail-Madsen model for estimating pop...
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Dataset |
Language: | unknown |
Published: |
2002
|
Subjects: | |
Online Access: | http://hdl.handle.net/11299/171418 https://doi.org/10.13020/D6PP41 |
id |
ftunivminnesdc:oai:conservancy.umn.edu:11299/171418 |
---|---|
record_format |
openpolar |
spelling |
ftunivminnesdc:oai:conservancy.umn.edu:11299/171418 2023-05-15T14:25:08+02:00 Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files Bruggeman, Jason E. Swem, Ted Andersen, David E Kennedy, Patricia L. Nigro, Debora Bruggeman, Jason E. brug0006@umn.edu 1981-2002 8/15/2002 http://hdl.handle.net/11299/171418 https://doi.org/10.13020/D6PP41 unknown Bruggeman, J.E., T. Swem, D.E. Andersen, P.L. Kennedy, and D. Nigro. Dynamics of a recovering Arctic bird population: the importance of climate, density dependence, and site quality. Ecological Applications, in press. http://dx.doi.org/10.1890/14-1591.1 http://hdl.handle.net/11299/171418 http://dx.doi.org/10.13020/D6PP41 CC0 1.0 Universal - Public Domain Dedication http://creativecommons.org/publicdomain/zero/1.0/ PDM CC0 abundance apparent survival rate Arctic peregrine falcons climate change Colville River Special Area (CRSA) Dail-Madsen model density dependence Falco peregrinus tundrius National Petroleum Reserve-Alaska (NPR-A) Pacific Decadal Oscillation (PDO) population dynamics snowpack Dataset Observational Data Software Code 2002 ftunivminnesdc https://doi.org/10.13020/D6PP41 https://doi.org/10.1890/14-1591.1 2020-02-02T14:47:45Z This data set consists of fourteen data files. Rcode_arctic_peregrine_abundance.R contains R code that was used to analyze Arctic peregrine falcon data collected between 1981 and 2002. The code primarily uses the R package "UNMARKED" and is based on the Dail-Madsen model for estimating population abundance. To run this code in an R environment, download the file and open it in an R interpreter (such as RStudio). The remaining files are all covariate matrices that act as inputs to the R code. To use these, download and unzip the ZIP file and place them into R's working directory. For more information about the different covariate files or further directions on running the code, see the README file. Arctic peregrine falcons (Falco peregrinus tundrius; hereafter Arctic peregrine) have a limited and northern breeding distribution, including the Colville River Special Area (CRSA) in the National Petroleum Reserve-Alaska, USA. We quantified influences of climate, topography, nest productivity, prey habitat, density dependence, and interspecific competition affecting Arctic peregrines in the CRSA by applying the Dail-Madsen model to estimate abundance and vital rates of adults on nesting cliffs from 1981 through 2002. Arctic peregrine abundance increased throughout the 1980s, which spanned the population's recovery from DDT-induced reproductive failure, until exhibiting a stationary trend in the 1990s. Apparent survival rate (i.e., emigration; death) was negatively correlated with number of adult Arctic peregrines on the cliff the previous year, suggesting effects of density-dependent population regulation. Apparent survival rate and arrival rate (i.e., immigration; recruitment) were higher during years with earlier snowmelt and milder winters, and apparent survival was positively correlated with nesting season maximum daily temperature. Arrival rate was positively correlated with average Arctic peregrine productivity along a cliff segment from the previous year and initial abundance was positively correlated with cliff height. Higher cliffs with documented higher productivity, and presumably indicative of higher quality habitat, are a priority for continued protection from potential nearby development and disturbance to minimize population-level impacts. Our work provides insight into factors affecting a population during and after recovery, and demonstrates how the Dail-Madsen model can be used for any unmarked population with multiple years of abundance data collected through repeated surveys. Bureau of Land Management, Fairbanks, Alaska U.S. Fish and Wildlife Service, Fairbanks, Alaska Dataset Arctic Arctic Climate change Falco peregrinus peregrine falcon Alaska University of Minnesota Digital Conservancy Arctic Fairbanks Pacific |
institution |
Open Polar |
collection |
University of Minnesota Digital Conservancy |
op_collection_id |
ftunivminnesdc |
language |
unknown |
topic |
abundance apparent survival rate Arctic peregrine falcons climate change Colville River Special Area (CRSA) Dail-Madsen model density dependence Falco peregrinus tundrius National Petroleum Reserve-Alaska (NPR-A) Pacific Decadal Oscillation (PDO) population dynamics snowpack |
spellingShingle |
abundance apparent survival rate Arctic peregrine falcons climate change Colville River Special Area (CRSA) Dail-Madsen model density dependence Falco peregrinus tundrius National Petroleum Reserve-Alaska (NPR-A) Pacific Decadal Oscillation (PDO) population dynamics snowpack Bruggeman, Jason E. Swem, Ted Andersen, David E Kennedy, Patricia L. Nigro, Debora Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files |
topic_facet |
abundance apparent survival rate Arctic peregrine falcons climate change Colville River Special Area (CRSA) Dail-Madsen model density dependence Falco peregrinus tundrius National Petroleum Reserve-Alaska (NPR-A) Pacific Decadal Oscillation (PDO) population dynamics snowpack |
description |
This data set consists of fourteen data files. Rcode_arctic_peregrine_abundance.R contains R code that was used to analyze Arctic peregrine falcon data collected between 1981 and 2002. The code primarily uses the R package "UNMARKED" and is based on the Dail-Madsen model for estimating population abundance. To run this code in an R environment, download the file and open it in an R interpreter (such as RStudio). The remaining files are all covariate matrices that act as inputs to the R code. To use these, download and unzip the ZIP file and place them into R's working directory. For more information about the different covariate files or further directions on running the code, see the README file. Arctic peregrine falcons (Falco peregrinus tundrius; hereafter Arctic peregrine) have a limited and northern breeding distribution, including the Colville River Special Area (CRSA) in the National Petroleum Reserve-Alaska, USA. We quantified influences of climate, topography, nest productivity, prey habitat, density dependence, and interspecific competition affecting Arctic peregrines in the CRSA by applying the Dail-Madsen model to estimate abundance and vital rates of adults on nesting cliffs from 1981 through 2002. Arctic peregrine abundance increased throughout the 1980s, which spanned the population's recovery from DDT-induced reproductive failure, until exhibiting a stationary trend in the 1990s. Apparent survival rate (i.e., emigration; death) was negatively correlated with number of adult Arctic peregrines on the cliff the previous year, suggesting effects of density-dependent population regulation. Apparent survival rate and arrival rate (i.e., immigration; recruitment) were higher during years with earlier snowmelt and milder winters, and apparent survival was positively correlated with nesting season maximum daily temperature. Arrival rate was positively correlated with average Arctic peregrine productivity along a cliff segment from the previous year and initial abundance was positively correlated with cliff height. Higher cliffs with documented higher productivity, and presumably indicative of higher quality habitat, are a priority for continued protection from potential nearby development and disturbance to minimize population-level impacts. Our work provides insight into factors affecting a population during and after recovery, and demonstrates how the Dail-Madsen model can be used for any unmarked population with multiple years of abundance data collected through repeated surveys. Bureau of Land Management, Fairbanks, Alaska U.S. Fish and Wildlife Service, Fairbanks, Alaska |
author2 |
Bruggeman, Jason E. brug0006@umn.edu |
format |
Dataset |
author |
Bruggeman, Jason E. Swem, Ted Andersen, David E Kennedy, Patricia L. Nigro, Debora |
author_facet |
Bruggeman, Jason E. Swem, Ted Andersen, David E Kennedy, Patricia L. Nigro, Debora |
author_sort |
Bruggeman, Jason E. |
title |
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files |
title_short |
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files |
title_full |
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files |
title_fullStr |
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files |
title_full_unstemmed |
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files |
title_sort |
arctic peregrine falcon abundance on cliffs along the colville river, alaska, 1981-2002 and covariate input files |
publishDate |
2002 |
url |
http://hdl.handle.net/11299/171418 https://doi.org/10.13020/D6PP41 |
op_coverage |
1981-2002 |
geographic |
Arctic Fairbanks Pacific |
geographic_facet |
Arctic Fairbanks Pacific |
genre |
Arctic Arctic Climate change Falco peregrinus peregrine falcon Alaska |
genre_facet |
Arctic Arctic Climate change Falco peregrinus peregrine falcon Alaska |
op_relation |
Bruggeman, J.E., T. Swem, D.E. Andersen, P.L. Kennedy, and D. Nigro. Dynamics of a recovering Arctic bird population: the importance of climate, density dependence, and site quality. Ecological Applications, in press. http://dx.doi.org/10.1890/14-1591.1 http://hdl.handle.net/11299/171418 http://dx.doi.org/10.13020/D6PP41 |
op_rights |
CC0 1.0 Universal - Public Domain Dedication http://creativecommons.org/publicdomain/zero/1.0/ |
op_rightsnorm |
PDM CC0 |
op_doi |
https://doi.org/10.13020/D6PP41 https://doi.org/10.1890/14-1591.1 |
_version_ |
1766297569380532224 |