A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...

1. The identification of geographic areas where the densities of animals are highest across their annual cycles is a crucial step in conservation planning. In marine environments, however, it can be particularly difficult to map the distribution of species, and the methods used are usually biased to...

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Main Authors: Carneiro, Ana P. B., Pearmain, Elizabeth J., Oppel, Steffen, Clay, Thomas A., Phillips, Richard A., Bonnet-Lebrun, Anne-Sophie, Wanless, Ross M., Abraham, Edward, Richard, Yvan, Rice, Joel, Handley, Jonathan, Davies, Tammy E., Dilley, Ben J., Ryan, Peter G., Small, Cleo, Arata, Javier, Arnould, John P. Y., Bell, Elizabeth, Bugoni, Leandro, Campioni, Letizia, Catry, Paulo, Cleeland, Jaimie, Deppe, Lorna, Elliott, Graeme, Freeman, Amanda, González-Solís, Jacob, Granadeiro, José Pedro, Grémillet, David, Landers, Todd J., Makhado, Azwianewi, Nel, Deon, Nicholls, David G., Rexer-Huber, Kalinka, Robertson, Christopher J. R., Sagar, Paul M., Scofield, Paul, Stahl, Jean-Claude, Stanworth, Andrew, Stevens, Kim L., Trathan, Philip N., Thompson, David R., Torres, Leigh, Walker, Kath, Waugh, Susan M., Weimerskirch, Henri, Dias, Maria P.
Format: Dataset
Language:English
Published: Dryad 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.z612jm685
https://datadryad.org/stash/dataset/doi:10.5061/dryad.z612jm685
id ftdatacite:10.5061/dryad.z612jm685
record_format openpolar
spelling ftdatacite:10.5061/dryad.z612jm685 2024-06-09T07:49:45+00:00 A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ... Carneiro, Ana P. B. Pearmain, Elizabeth J. Oppel, Steffen Clay, Thomas A. Phillips, Richard A. Bonnet-Lebrun, Anne-Sophie Wanless, Ross M. Abraham, Edward Richard, Yvan Rice, Joel Handley, Jonathan Davies, Tammy E. Dilley, Ben J. Ryan, Peter G. Small, Cleo Arata, Javier Arnould, John P. Y. Bell, Elizabeth Bugoni, Leandro Campioni, Letizia Catry, Paulo Cleeland, Jaimie Deppe, Lorna Elliott, Graeme Freeman, Amanda González-Solís, Jacob Granadeiro, José Pedro Grémillet, David Landers, Todd J. Makhado, Azwianewi Nel, Deon Nicholls, David G. Rexer-Huber, Kalinka Robertson, Christopher J. R. Sagar, Paul M. Scofield, Paul Stahl, Jean-Claude Stanworth, Andrew Stevens, Kim L. Trathan, Philip N. Thompson, David R. Torres, Leigh Walker, Kath Waugh, Susan M. Weimerskirch, Henri Dias, Maria P. 2019 https://dx.doi.org/10.5061/dryad.z612jm685 https://datadryad.org/stash/dataset/doi:10.5061/dryad.z612jm685 en eng Dryad https://dx.doi.org/10.1111/1365-2664.13568 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 albatrosses Distributions longline fisheries megafauna at sea threats seabird density Population density Dataset dataset 2019 ftdatacite https://doi.org/10.5061/dryad.z612jm68510.1111/1365-2664.13568 2024-05-13T11:08:14Z 1. The identification of geographic areas where the densities of animals are highest across their annual cycles is a crucial step in conservation planning. In marine environments, however, it can be particularly difficult to map the distribution of species, and the methods used are usually biased towards adults, neglecting the distribution of other life-history stages even though they can represent a substantial proportion of the total population. 2. Here we develop a methodological framework for estimating population-level density distributions of seabirds, integrating tracking data across the main life-history stages (adult breeders and non-breeders, juveniles and immatures). We incorporate demographic information (adult and juvenile/immature survival, breeding frequency and success, age at first breeding) and phenological data (average timing of breeding and migration) to weight distribution maps according to the proportion of the population represented by each life-history stage. 3. We demonstrate the ... : Quarterly and annual population-level density distributions for 22 species of albatrosses and petrels (36 populations) breeding in the Southern Ocean based on tracking, phenology and demography data. The raster files have the number of individuals for each population in each 5 x 5 degree cell during a given season or year. The number of individuals represents the sum of all life-history stages. See Carneiro et al., (2020) for a detailed description of the methods. ... Dataset Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic albatrosses
Distributions
longline fisheries
megafauna
at sea threats
seabird density
Population density
spellingShingle albatrosses
Distributions
longline fisheries
megafauna
at sea threats
seabird density
Population density
Carneiro, Ana P. B.
Pearmain, Elizabeth J.
Oppel, Steffen
Clay, Thomas A.
Phillips, Richard A.
Bonnet-Lebrun, Anne-Sophie
Wanless, Ross M.
Abraham, Edward
Richard, Yvan
Rice, Joel
Handley, Jonathan
Davies, Tammy E.
Dilley, Ben J.
Ryan, Peter G.
Small, Cleo
Arata, Javier
Arnould, John P. Y.
Bell, Elizabeth
Bugoni, Leandro
Campioni, Letizia
Catry, Paulo
Cleeland, Jaimie
Deppe, Lorna
Elliott, Graeme
Freeman, Amanda
González-Solís, Jacob
Granadeiro, José Pedro
Grémillet, David
Landers, Todd J.
Makhado, Azwianewi
Nel, Deon
Nicholls, David G.
Rexer-Huber, Kalinka
Robertson, Christopher J. R.
Sagar, Paul M.
Scofield, Paul
Stahl, Jean-Claude
Stanworth, Andrew
Stevens, Kim L.
Trathan, Philip N.
Thompson, David R.
Torres, Leigh
Walker, Kath
Waugh, Susan M.
Weimerskirch, Henri
Dias, Maria P.
A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
topic_facet albatrosses
Distributions
longline fisheries
megafauna
at sea threats
seabird density
Population density
description 1. The identification of geographic areas where the densities of animals are highest across their annual cycles is a crucial step in conservation planning. In marine environments, however, it can be particularly difficult to map the distribution of species, and the methods used are usually biased towards adults, neglecting the distribution of other life-history stages even though they can represent a substantial proportion of the total population. 2. Here we develop a methodological framework for estimating population-level density distributions of seabirds, integrating tracking data across the main life-history stages (adult breeders and non-breeders, juveniles and immatures). We incorporate demographic information (adult and juvenile/immature survival, breeding frequency and success, age at first breeding) and phenological data (average timing of breeding and migration) to weight distribution maps according to the proportion of the population represented by each life-history stage. 3. We demonstrate the ... : Quarterly and annual population-level density distributions for 22 species of albatrosses and petrels (36 populations) breeding in the Southern Ocean based on tracking, phenology and demography data. The raster files have the number of individuals for each population in each 5 x 5 degree cell during a given season or year. The number of individuals represents the sum of all life-history stages. See Carneiro et al., (2020) for a detailed description of the methods. ...
format Dataset
author Carneiro, Ana P. B.
Pearmain, Elizabeth J.
Oppel, Steffen
Clay, Thomas A.
Phillips, Richard A.
Bonnet-Lebrun, Anne-Sophie
Wanless, Ross M.
Abraham, Edward
Richard, Yvan
Rice, Joel
Handley, Jonathan
Davies, Tammy E.
Dilley, Ben J.
Ryan, Peter G.
Small, Cleo
Arata, Javier
Arnould, John P. Y.
Bell, Elizabeth
Bugoni, Leandro
Campioni, Letizia
Catry, Paulo
Cleeland, Jaimie
Deppe, Lorna
Elliott, Graeme
Freeman, Amanda
González-Solís, Jacob
Granadeiro, José Pedro
Grémillet, David
Landers, Todd J.
Makhado, Azwianewi
Nel, Deon
Nicholls, David G.
Rexer-Huber, Kalinka
Robertson, Christopher J. R.
Sagar, Paul M.
Scofield, Paul
Stahl, Jean-Claude
Stanworth, Andrew
Stevens, Kim L.
Trathan, Philip N.
Thompson, David R.
Torres, Leigh
Walker, Kath
Waugh, Susan M.
Weimerskirch, Henri
Dias, Maria P.
author_facet Carneiro, Ana P. B.
Pearmain, Elizabeth J.
Oppel, Steffen
Clay, Thomas A.
Phillips, Richard A.
Bonnet-Lebrun, Anne-Sophie
Wanless, Ross M.
Abraham, Edward
Richard, Yvan
Rice, Joel
Handley, Jonathan
Davies, Tammy E.
Dilley, Ben J.
Ryan, Peter G.
Small, Cleo
Arata, Javier
Arnould, John P. Y.
Bell, Elizabeth
Bugoni, Leandro
Campioni, Letizia
Catry, Paulo
Cleeland, Jaimie
Deppe, Lorna
Elliott, Graeme
Freeman, Amanda
González-Solís, Jacob
Granadeiro, José Pedro
Grémillet, David
Landers, Todd J.
Makhado, Azwianewi
Nel, Deon
Nicholls, David G.
Rexer-Huber, Kalinka
Robertson, Christopher J. R.
Sagar, Paul M.
Scofield, Paul
Stahl, Jean-Claude
Stanworth, Andrew
Stevens, Kim L.
Trathan, Philip N.
Thompson, David R.
Torres, Leigh
Walker, Kath
Waugh, Susan M.
Weimerskirch, Henri
Dias, Maria P.
author_sort Carneiro, Ana P. B.
title A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
title_short A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
title_full A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
title_fullStr A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
title_full_unstemmed A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
title_sort framework for mapping the distribution of seabirds by integrating tracking, demography and phenology ...
publisher Dryad
publishDate 2019
url https://dx.doi.org/10.5061/dryad.z612jm685
https://datadryad.org/stash/dataset/doi:10.5061/dryad.z612jm685
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://dx.doi.org/10.1111/1365-2664.13568
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.z612jm68510.1111/1365-2664.13568
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