Document of bibliographic reference 360415

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Combining tracking with at-sea surveys to improve occurrence and distribution estimates of two threatened seabirds in Peru
Abstract
Seabirds are highly threatened, including by fisheries bycatch. Accurate understanding of offshore distribution of seabirds is crucial to address this threat. Tracking technologies revolutionised insights into seabird distributions but tracking data may contain a variety of biases. We tracked two threatened seabirds (Salvin’s Albatross Thalassarche salvini n = 60 and Black Petrel Procellaria parkinsoni n = 46) from their breeding colonies in Aotearoa (New Zealand) to their non-breeding grounds in South America, including Peru, while simultaneously completing seven surveys in Peruvian waters. We then used species distribution models to predict occurrence and distribution using either data source alone, and both data sources combined. Results showed seasonal differences between estimates of occurrence and distribution when using data sources independently. Combining data resulted in more balanced insights into occurrence and distributions, and reduced uncertainty. Most notably, both species were predicted to occur in Peruvian waters during all four annual quarters: the northern Humboldt upwelling system for Salvin’s Albatross and northern continental shelf waters for Black Petrels. Our results highlighted that relying on a single data source may introduce biases into distribution estimates. Our tracking data might have contained ontological and/or colony-related biases (e.g. only breeding adults from one colony were tracked), while our survey data might have contained spatiotemporal biases (e.g. surveys were limited to waters <200 nm from the coast). We recommend combining data sources wherever possible to refine predictions of species distributions, which ultimately will improve fisheries bycatch management through better spatiotemporal understanding of risks.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000889872100001
Bibliographic citation
Fischer, J.H.; Bose, S.; Romero, C.; Charteris, M.; Crowe, P.; Parker, G.C.; Ray, S.; Rexer-huber, K.; Sagar, P.M.; Thompson, D.R.; Bell, E.; Debski, I.; Quiñones, J. (2022). Combining tracking with at-sea surveys to improve occurrence and distribution estimates of two threatened seabirds in Peru. Bird. Cons. Intern. 33. https://dx.doi.org/10.1017/s0959270922000442
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Johannes Fischer
author
Name
Samhita Bose
author
Name
Cynthia Romero
author
Name
Matt Charteris
author
Name
Patrick Crowe
author
Name
Graham Parker
author
Name
Samantha Ray
author
Name
Kalinka Rexer-huber
author
Name
Paul Sagar
author
Name
David Thompson
author
Name
Elizabeth Bell
author
Name
Igor Debski
author
Name
Javier Quiñones

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1017/s0959270922000442

thesaurus terms

term
Conservation (term code: 1797 - defined in term set: ASFA Thesaurus List)

taxonomic terms

taxonomic terms associated with this publication
Procellaria parkinsoni
Thalassarche salvini

Document metadata

date created
2023-01-18
date modified
2023-01-18