English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/186542
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Modelling the three‐dimensional space use of aquatic animals combining topography and Eulerian telemetry data

AuthorsAspillaga, Eneko ; Safi, Kamran; Hereu, Bernat; Bartumeus, Frederic
KeywordsAcoustic telemetry
Utilization distribution
3D
Aquatic ecology
Movement ecology
Space use
Telemetry networks
Topography
Issue Date2019
PublisherJohn Wiley & Sons
CitationMethods in Ecology and Evolution : doi:10.1111/2041-210X.13232 (2019)
Abstract1. Passive acoustic telemetry provides the opportunity to monitor and contextualize the movements of diverse aquatic animals. Despite depth being an essential dimension along which many processes are organized, the Eulerian structure of the acoustic telemetry data (movements perceived from fixed locations) and the consequences of sound propagation in water hinders the incorporation of the vertical dimension into animal’s space use analyses. 2. Here, we propose a new data‐driven quantitative method to estimate 3D space use from telemetry networks. The methodology is based on simulating large numbers of stochastic synthetic paths, accommodating the detection probability around receivers and the depth information from transmitters and integrating the local topography. 3. The methodological protocol is explained in detail and tested with acoustic telemetry data from the common dentex Dentex dentex in a Mediterranean marine protected area. We present 3D space use estimations for the tagged individuals and compare them with other 3D and 2D estimations derived with existing probabilistic methods. 4. 3D space use estimations that incorporate topography provided a more comprehensive view of the movement ecology of tracked individuals, with relevant pieces being missed by 2D representations. Our method generated realistic representations of the actual spatial co‐occurrence of individuals, including the spatio‐temporal identification of relevant aggregation areas.
DescriptionEste artículo contiene 7 páginas, 5 figuras.
Publisher version (URL)http://dx.doi.org/10.1111/2041-210X.13232
URIhttp://hdl.handle.net/10261/186542
E-ISSN2041-210X
Appears in Collections:(CEAB) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.