Resource selection by a megaomnivore in a marine foraging habitat

被引:0
|
作者
Maurer, Andrew S. [1 ,2 ]
Eguchi, Tomo [2 ]
Lemons, Garrett E. [2 ]
Leroux, Robin A. [2 ]
Lacasella, Erin L. [2 ]
Tomaszewicz, Calandra N. Turner [2 ]
Hanna, Megan E. [3 ]
Curran, Jessica [4 ]
Chesney, Bryant [5 ]
Madrak, Sheila V. [6 ]
Seminoff, Jeffrey A. [2 ]
机构
[1] CNR, Washington, DC 20001 USA
[2] NOAA Southwest Fisheries Sci Ctr, La Jolla, CA USA
[3] United States Navy, Naval Facil Engn Command Southwest, San Diego, CA USA
[4] United States Navy, Navy Reg Southwest, San Diego, CA USA
[5] NOAA West Coast Reg Off, Long Beach, CA USA
[6] San Diego Miramar Coll, San Diego, CA USA
来源
ECOLOGY AND EVOLUTION | 2024年 / 14卷 / 11期
关键词
<italic>Chelonia mydas</italic>; Fastloc; resource selection function; satellite telemetry; sea turtle; seagrass; TURTLES CHELONIA-MYDAS; PACIFIC GREEN TURTLE; BAJA-CALIFORNIA PENINSULA; EELGRASS ZOSTERA-MARINA; SEA-TURTLES; SAN-DIEGO; LOGGERHEAD TURTLES; TROPHIC ECOLOGY; HOME RANGES; BEHAVIOR;
D O I
10.1002/ece3.70132
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Habitat-based approaches to animal conservation are bolstered by an understanding of resource selection, that is, use of resources (i.e., habitat features) relative to their availability in the environment. Quantifying resource selection is especially valuable when data characterizing animal space use are limited, as is often the case with mobile and/or cryptic species. Documenting associations with habitat features can better inform management in space in time, while also revealing key insight into movement ecology and behavior. Here, we evaluate resource selection by a megaomnivore whose highly mobile nature within marine habitats has resulted in an incomplete understanding of drivers of space use. We used satellite telemetry to track 29 green turtles (Chelonia mydas) from an eastern Pacific foraging aggregation in San Diego Bay, California, USA during 2013-2023. Tracking produced 5023 Fastloc-GPS points which we used to model selection for local environmental resources relative to their availability. We employed logistic models to evaluate associations with seagrass, bathymetry, and water temperatures, implementing a framework that additionally allowed us to explore the roles of season, diel period, and turtle body size. Our methods demonstrate an approach for down-weighting observations according to assumed telemetry error and autocorrelation. Results from fine-scale resource selection models provide evidence that green turtles in San Diego Bay select for eelgrass meadows (Zostera marina), particularly during the warmest months of the year, but the strength of this selection changes from day to night. We additionally found day-night shifts in depth and temperature selection that changed with turtle body size and season. We discuss these findings in the context of diel patterns in resting and foraging behavior in addition to seasonal changes in thermally sensitive metabolic rates. Our study documents resource associations and provides quantitative information for the management of sea turtle foraging populations and their habitats. We offer key insight into habitat use by green turtles in the eastern Pacific at a pivotal time when multiple indicators point to population growth and expansion within the region.
引用
收藏
页数:23
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