Dataset Submitted

Movement data for the Colony Island Network Design and Implementation (CINDI) project to recover waterbirds in the Gulf of Mexico: Caspian Tern (Hydroprogne alba), 2022-2023

Authors: Gawlik, Dale; Newstead, David; Giese, Jordan; Essian, David; Ballard, Bart
Identified On: Sep 13 2024 21:02 UTC
DOI: https://doi.org/10.7266/gqtgaw3g
UDI: HI.x960.000:0004
Project Information

Funded By:

Research Group:
Conservation and Biodiversity

Point of Contact

Dale Gawlik
Texas A&M University-Corpus Christi / The Harte Research Institute for Gulf of Mexico Studies
dale.gawlik@tamucc.edu

Data Collection Period
2022-04-04
to
2023-12-31
Theme keywords

CINDI, Movement, Telemetry, Colony Islands, Waterbirds, Caspian Tern, Hydroprogne caspia, Colony Island Network Design and Implementation

Abstract:

The Texas coast supports 130,000 waterbirds annually on a network of colony islands from Galveston to the mouth of the Rio Grande. Each year, millions of dollars are spent by organizations and agencies to create, manage, and restore colony islands on the Texas coast, but without guidance on which islands provide the greatest benefit to birds, funds and management effort may not be as effective as possible. Stakeholders and land managers need a tool to guide decisions on which islands to restore. To this end, we collected telemetry data for 17 Caspian Terns (Hydroprogne caspia) between 2019 to 2023 by fitting solar GPS-GSM tracking devices (model OrniTrack 9, 10, or 15, Ornitela, UAB) that constitute < 2% of a bird’s body mass. Movement data will enable us to 1) delineate foraging ranges around colonies, 2) estimate relative numbers of nests each bay system can support, and 3) estimate the probability of use for different habitats within their foraging ranges. These data will ultimately become one of many inputs to support a GIS-based model that prioritizes colony islands for management and rehabilitation on the Texas coast based on their greatest potential for birds.

Suggested Citation:

Gawlik, Dale; Newstead, David; Giese, Jordan; Essian, David; Ballard, Bart. Movement data for the Colony Island Network Design and Implementation (CINDI) project to recover waterbirds in the Gulf of Mexico: Caspian Tern (Hydroprogne alba), 2022-2023. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/gqtgaw3g

Purpose:

The purpose of this dataset is to 1) delineate foraging ranges of Caspian Terns (Hydroprogne caspia) around colonies, 2) estimate relative numbers of nests each bay system can support, and 3) estimate the probability of use for different habitats within their foraging ranges. These data are important as mobile species like waterbirds often get most of their food from a small part of their foraging range, and not necessarily the part close to the nest. Tracking data to identify the location and type of important foraging habitat for each species enables us to estimate the number of nesting pairs a bay system can support, which affects the prioritization of particular islands.

Data Parameters and Units:

Device ID, Date and time (UTC), data type, satellite count, battery (mV), battery state of charge (percentage), solar XX (mA), horizontal dilution of precision, Latitude (WGS84), Longitude (WGS84), altitude (m), speed (km/h), direction (degrees), temperature (C), magnetometer x, y, and z (micro Tesla), and accelerometer x, y, and z (m/s^2).

Methods:

This dataset used telemetered birds associated with colonies in the study area to identify distances that focal species will fly to access foraging habitat and the location of core foraging areas. Between 2019 and 2023, 17 Caspian Terns (Hydroprogne caspia) were captured in and around target colonies and fitted with solar GPS-GSM tracking devices (model OrniTrack 9, 10, or 15, Ornitela, UAB) that constitute < 2% of a bird’s body mass. Transmitters were attached to birds via a backpack or leg-loop harness using a 4mm Teflon-elastic ribbon. The devices are solar rechargeable with a theoretical life of two years. Devices transferred data via the cell phone network and stored data onboard when in areas where suitable connections could not be made. We programmed tracking devices to collect location data once every hour.