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Integrating aerial and ship surveys of marine birds into a combined density surface model: a case study of wintering Common Loons

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DOI

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Integrating aerial and ship surveys of marine birds into a combined density surface model : a case study of wintering Common Loons. / Winiarski, Kristopher; Burt, M Louise; Rexstad, Eric; Miller, David Lawrence; Trocki, Carol; Paton, Peter; McWilliams, Scott.

In: Condor, Vol. 116, No. 2, 2014, p. 149-161.

Research output: Contribution to journalArticle

Harvard

Winiarski, K, Burt, ML, Rexstad, E, Miller, DL, Trocki, C, Paton, P & McWilliams, S 2014, 'Integrating aerial and ship surveys of marine birds into a combined density surface model: a case study of wintering Common Loons' Condor, vol. 116, no. 2, pp. 149-161. https://doi.org/10.1650/CONDOR-13-085.1

APA

Winiarski, K., Burt, M. L., Rexstad, E., Miller, D. L., Trocki, C., Paton, P., & McWilliams, S. (2014). Integrating aerial and ship surveys of marine birds into a combined density surface model: a case study of wintering Common Loons. Condor, 116(2), 149-161. https://doi.org/10.1650/CONDOR-13-085.1

Vancouver

Winiarski K, Burt ML, Rexstad E, Miller DL, Trocki C, Paton P et al. Integrating aerial and ship surveys of marine birds into a combined density surface model: a case study of wintering Common Loons. Condor. 2014;116(2):149-161. https://doi.org/10.1650/CONDOR-13-085.1

Author

Winiarski, Kristopher ; Burt, M Louise ; Rexstad, Eric ; Miller, David Lawrence ; Trocki, Carol ; Paton, Peter ; McWilliams, Scott. / Integrating aerial and ship surveys of marine birds into a combined density surface model : a case study of wintering Common Loons. In: Condor. 2014 ; Vol. 116, No. 2. pp. 149-161.

Bibtex - Download

@article{9b151545369e4d81acd8e51d25e6a44f,
title = "Integrating aerial and ship surveys of marine birds into a combined density surface model: a case study of wintering Common Loons",
abstract = "Biologists now use a variety of survey platforms to assess the spatial distribution and abundance of marine birds, yet few attempts have been made to integrate data from multiple survey platforms to improve model accuracy or precision. We used density surface models (DSMs) to incorporate data from two survey platforms to predict the distribution and abundance of a diving marine bird, the Common Loon (Gavia immer). We conducted strip transect surveys from a multiengine, fixed-wing aircraft and line surveys from a 28 m ship during winter 2009–2010 in a 3,800 km2 study area off the coast of Rhode Island, USA. We accounted for imperfect detection and availability bias due to Common Loon diving behavior. We incorporated spatially explicit environmental covariates (water depth and latitude) to provide predictions of the spatial distribution and abundance of wintering Common Loons. The combined-platform DSM estimated the highest Common Loon densities (>20 individuals km−2) in nearshore waters <35 m deep, with an average daily abundance of 5,538 (95{\%} CI = 4,726–6,489) individuals in the study area. The combined-platform model offered substantial improvement in the precision of abundance estimates from the ship-platform model, and modest improvement in the precision of the aerial-platform model. The combined model had relatively low predictive power, which previous research indicates is primarily a consequence of the dynamic marine environment. We show that the DSM approach presents a flexible framework for developing spatially explicit models of a marine bird from different survey protocols.",
keywords = "Abundance estimation, Common Loon, density surface model, distance sampling, Gavia immer, spatial modeling, spatially explicit abundance models",
author = "Kristopher Winiarski and Burt, {M Louise} and Eric Rexstad and Miller, {David Lawrence} and Carol Trocki and Peter Paton and Scott McWilliams",
year = "2014",
doi = "10.1650/CONDOR-13-085.1",
language = "English",
volume = "116",
pages = "149--161",
journal = "Condor",
issn = "0010-5422",
publisher = "American Ornithologist Society",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Integrating aerial and ship surveys of marine birds into a combined density surface model

T2 - Condor

AU - Winiarski, Kristopher

AU - Burt, M Louise

AU - Rexstad, Eric

AU - Miller, David Lawrence

AU - Trocki, Carol

AU - Paton, Peter

AU - McWilliams, Scott

PY - 2014

Y1 - 2014

N2 - Biologists now use a variety of survey platforms to assess the spatial distribution and abundance of marine birds, yet few attempts have been made to integrate data from multiple survey platforms to improve model accuracy or precision. We used density surface models (DSMs) to incorporate data from two survey platforms to predict the distribution and abundance of a diving marine bird, the Common Loon (Gavia immer). We conducted strip transect surveys from a multiengine, fixed-wing aircraft and line surveys from a 28 m ship during winter 2009–2010 in a 3,800 km2 study area off the coast of Rhode Island, USA. We accounted for imperfect detection and availability bias due to Common Loon diving behavior. We incorporated spatially explicit environmental covariates (water depth and latitude) to provide predictions of the spatial distribution and abundance of wintering Common Loons. The combined-platform DSM estimated the highest Common Loon densities (>20 individuals km−2) in nearshore waters <35 m deep, with an average daily abundance of 5,538 (95% CI = 4,726–6,489) individuals in the study area. The combined-platform model offered substantial improvement in the precision of abundance estimates from the ship-platform model, and modest improvement in the precision of the aerial-platform model. The combined model had relatively low predictive power, which previous research indicates is primarily a consequence of the dynamic marine environment. We show that the DSM approach presents a flexible framework for developing spatially explicit models of a marine bird from different survey protocols.

AB - Biologists now use a variety of survey platforms to assess the spatial distribution and abundance of marine birds, yet few attempts have been made to integrate data from multiple survey platforms to improve model accuracy or precision. We used density surface models (DSMs) to incorporate data from two survey platforms to predict the distribution and abundance of a diving marine bird, the Common Loon (Gavia immer). We conducted strip transect surveys from a multiengine, fixed-wing aircraft and line surveys from a 28 m ship during winter 2009–2010 in a 3,800 km2 study area off the coast of Rhode Island, USA. We accounted for imperfect detection and availability bias due to Common Loon diving behavior. We incorporated spatially explicit environmental covariates (water depth and latitude) to provide predictions of the spatial distribution and abundance of wintering Common Loons. The combined-platform DSM estimated the highest Common Loon densities (>20 individuals km−2) in nearshore waters <35 m deep, with an average daily abundance of 5,538 (95% CI = 4,726–6,489) individuals in the study area. The combined-platform model offered substantial improvement in the precision of abundance estimates from the ship-platform model, and modest improvement in the precision of the aerial-platform model. The combined model had relatively low predictive power, which previous research indicates is primarily a consequence of the dynamic marine environment. We show that the DSM approach presents a flexible framework for developing spatially explicit models of a marine bird from different survey protocols.

KW - Abundance estimation

KW - Common Loon

KW - density surface model

KW - distance sampling

KW - Gavia immer

KW - spatial modeling

KW - spatially explicit abundance models

UR - http://www.bioone.org/doi/abs/10.1650/CONDOR-13-085.1

U2 - 10.1650/CONDOR-13-085.1

DO - 10.1650/CONDOR-13-085.1

M3 - Article

VL - 116

SP - 149

EP - 161

JO - Condor

JF - Condor

SN - 0010-5422

IS - 2

ER -

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ID: 47731617