Environmental DNA survey data for the West Indian Manatee, Trichechus manatus, in Alabama waters

Dataset extent

Abstract

Coastal areas globally are experiencing changes in viable habitat and food availability for many aquatic species, driving subsequent shifts in migration patterns, and distributions. In the northern Gulf of Mexico, an increasing number of tropical species have recently become established, leading to the hypothesis that these waters will continue to tropicalize, significantly impacting ecosystem functions. This research used a multidisciplinary approach to investigate the anticipated effects of climate change on the distribution and habitat use patterns of the West Indian manatee (Trichechus manatus), a sentinel megafauna species that is of ecological and cultural importance to Alabama, supporting stewardship of Alabama’s coastal resources. This project 1) analyzed existing long-term and high-resolution datasets to build predictive models for distribution and habitat use of the West Indian manatee, a locally endangered and globally threatened sentinel megafauna species, under current and future climate scenarios, and 2) tested and calibrated environmental DNA techniques as a novel alternative to direct monitoring for conservation of large and often hard to study animals in Alabama waters.

Purpose

The purpose of this dataset was to assess the feasibility and utility of incorporating environmental DNA surveys as part of long-term species monitoring programs for megafauna such as manatees in Alabama and similar freshwater-influenced systems.

DOI: 10.57778/bqv3-0140

Suggested Citation

Phillips, N., & Carmichael, R. (2025). Environmental DNA survey data for the West Indian Manatee, Trichechus manatus, in Alabama waters [Data set]. Dauphin Island Sea Lab. https://doi.org/10.57778/BQV3-0140

Related Publication Citation

Methodology

Environmental DNA surveys were conducted in two years (2022, 2023) during peak periods of manatee occurrence in Alabama. Water samples were collected and filtered from up to 24 sites in each year at locations where manatees were known to be present in real-time and at locations estimated to have higher and lower manatee

occurrence, based on existing sighting and tagged animal data. At each sampling site, benthic water samples (3L) were collected and filtered, and environmental data (e.g., sampling depth in m, DO in mg/L, temperature in °C, salinity, turbidity in cm) were recorded. Total eDNA was extracted from half of each filter using the QIAGEN DNeasy Blood and Tissue Kit incorporating QIAshredder spin columns. DNA extracts were screened for manatee DNA using a previously published and validated Droplet Digital PCR (ddPCR) eDNA assay. Data were analyzed using a three criteria approach to guard against false positives. Positive samples had: 1) droplets above the manual threshold of the assay, 2) droplets within the known positive range for the species/assay, and 3) a concentration of target DNA greater than or equal to the Limit of Detection for the assay. DNA concentrations (copies/µL) were quantified using the Rare Event Detection analysis in the Bio-Rad QuantaSoft software.

Attribution

This project was paid for [in part] with federal funding for the Alabama Center of Excellence from the Department of the Treasury under the Resources and Ecosystems Sustainability, Tourist Opportunities, and Revived Economies of the Gulf Coast States Act of 2012 (RESTORE Act) in cooperation with the State of Alabama Department of Conservation and Natural Resources under the Alabama Center of Excellence Program at the MESC/Dauphin Island Sea Lab.

Data and Resources

Additional Info

Field Value
Author Nicole Phillips
Maintainer data@disl.edu
Last Updated July 9, 2026, 16:42 (UTC)
Created December 18, 2025, 15:51 (UTC)
DOI https://doi.org/10.57778/bqv3-0140
ISO.author Ruth Carmichael <rcarmichael@disl.org>
Temporal Begin 2021-09-01
Temporal End 2025-12-01
spatial { "type": "Polygon", "coordinates": [ [ [-88.252872, 30.892392], [-87.69832, 30.892392], [-87.69832, 30.22418], [-88.252872, 30.22418], [-88.252872, 30.892392] ] ] }