The impact of environmental factors on marine turtle stranding rates

Flint, Jaylene; Flint, Mark; Limpus, Colin J.; Mills, Paul C.

doi:10.1371/journal.pone.0182548

Cited by 18 publications

(14 citation statements)

References 24 publications

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“…In conjunction with these analyses, parallel studies were conducted into the success of marine turtles that were sent to rehabilitation (Chapter 4, Flint et al, 2017), compared to those animals which were not sent to rehabilitation (Chapter 5, Flint et al, 2017b).…”

Section: Chapter 8 Discussion and Conclusionmentioning

confidence: 99%

“…These model uses empirical data to support the hypothesis by Flint et al, (2017b;2015); Marsh and Kwan, (2008); Meager and Limpus, (2012b) to demonstrate there is a predictable link between weather events and stranding rates.…”

Section: Weighted Predictive Modelmentioning

confidence: 94%

“…By combining previously published individual models Flint et al, (2017b) The study area encompassed latitude -10.78° to -28.16° and longitude 142.15° to 155°.…”

Section: Chapter 7 Predicting the Magnitude Of Marine Turtle Strandimentioning

confidence: 99%

“…The initial modelling was performed as outlined in Flint et al, (2017b). In brief, models were run with all variables (cumulative mean discharge, mean discharge, peak discharge, rainfall, average daily diurnal temperature difference, monthly mean maximum temperature, monthly mean minimum temperature and rainfall) combined.…”

Section: Modellingmentioning

confidence: 99%

“…This study has developed the first predictive models for assessing the impact of adverse weather conditions and catastrophic events on marine turtle strandings, using the largest long term dataset currently available. This study used Moreton Bay as a beta-test site due to the larger sample size of stranded marine turtles recorded in this latitude (Flint et al, 2017b), significant land use changes, increasing development related to population growth, supporting high human population which is increasing and decline in ecosystem health (Gibbes et al, 2014) and being a significant foraging ground for the southern Great…”

Section: Weighted Predictive Modelmentioning

confidence: 99%

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The effectiveness of rehabilitation post catastrophic environmental events as a conservation strategy for marine turtles

Flint¹

Self Cite

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School of Veterinary Science 2In-water monitoring of the health and well-being of marine vertebrates is usually expensive and therefore may not be undertaken by management agencies with financial constraints.However, the use of stranding data can provide a cost-effective alternative estimation of disease and mortality. Strandings for marine turtles in Queensland are recorded in a web based database (StrandNet) managed by the Queensland Government's Department of Environment and Heritage Protection (EHP). Data recorded in StrandNet for marine turtles stranded from the entire east coast of Queensland between 1996 and 2013 were investigated for patterns of stranding in an attempt to identify which factors, such as extreme weather events, may cause stranding of marine turtle species and, further, use these patterns to predict stranding and the required responses to mitigate the negative impact mass mortalities have on endangered species such as marine turtles.Significant stranding trends in Queensland between 1996-2013 were: (i) an increase in the number of animals reported stranded within the study site; (ii) a species (loggerhead and green marine turtles) prevalence for stranding; (iii) a seasonal effect on different age classes stranding with most overall strandings occurring between August and November; and (iv) stranding hotspots (Moreton Bay, Hervey Bay, Rockhampton region and Cleveland Bay) persisting throughout the study timeframe.One strategy to mitigate the negative effects of marine turtle stranding is to provide medical care to those that strand alive in the hopes they can return to the functional population. Rehabilitation of marine turtles in Queensland is multifaceted. It treats individual animals, serves to educate the public, and contributes to conservation. Of 13854 marine turtles reported as stranded during the 18-year period of investigation, 5022 of these turtles stranded alive with the remainder verified as dead or of unknown condition. A total of 2970 (59%) of these live strandings were transported to a rehabilitation facility.The original cause of stranding has an impact on the success of rehabilitation and this may influence where treatment efforts are directed. For example, of the turtles admitted to rehabilitation exhibiting signs of disease (natural cause of illness) (18% of all animals admitted to rehabilitation), 88% of them died either unassisted or by euthanasia. Sixty-six percent of turtles admitted for unknown causes of stranding died either unassisted or by 3 euthanasia. By contrast, all turtles recorded as having a buoyancy disorder with no other presenting problem or disorder recorded, were released alive.One hundred and one of the turtles released from rehabilitation were reencountered: 77 reported as restrandings (20 dead, 13 alive subsequently died, 11 alive subsequently euthanized, 33 alive) and 24 recaptured during normal marine turtle population monitoring or fishing activities. Considering the high mortality rate and low successful recapture rate, rehabilitation may not be...

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Section: Chapter 8 Discussion and Conclusionmentioning

confidence: 99%

Section: Weighted Predictive Modelmentioning

confidence: 94%

“…By combining previously published individual models Flint et al, (2017b) The study area encompassed latitude -10.78° to -28.16° and longitude 142.15° to 155°.…”

Section: Chapter 7 Predicting the Magnitude Of Marine Turtle Strandimentioning

confidence: 99%

Section: Modellingmentioning

confidence: 99%

Section: Weighted Predictive Modelmentioning

confidence: 99%

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The effectiveness of rehabilitation post catastrophic environmental events as a conservation strategy for marine turtles

Flint¹

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Space‐use patterns of green turtles in industrial coastal foraging habitat: Challenges and opportunities for informing management with a large satellite tracking dataset

Webster

Hamann

Shimada

et al. 2022

Aquatic Conservation

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1. Increasing overlap between anthropogenic activities and wildlife can lead to problematic human-wildlife interactions. To manage these, an understanding of animal space-use patterns, with sufficient temporal and spatial detail is required.Satellite telemetry can provide such detailed data; however, the cost of tracking units places a significant limitation on sample size.2. Satellite tracks for 72 green turtles were consolidated through collaboration with multiple entities over 8 years at seven sites within a large industrial port contributing to an ecological monitoring initiative to minimize impacts of planned developments.3. This study aims to determine the minimum number of satellite-tracked green turtles required to represent spatial distribution patterns in the foraging ground and to evaluate factors underpinning differences in distribution and site fidelity metrics to inform appropriate management strategies.4. An autocorrelated kernel density estimator was used to construct 95% utilization distributions for individual turtles during each calendar season. Percentage overlap between pairs of seasonal utilization distributions was calculated as a measure of short-term site fidelity. Mechanistic range shift analysis was applied to detect significant deviations from range residency behaviour. 5. Green turtles exhibited spatially confined ranges and remained faithful to their foraging area for periods of up to 260 days. Range size was significantly different between microhabitats and study years. Only 16 individuals (22% of tracked turtles) performed significant range shifts, indicating that occupied areas represent important habitats, and most turtles are unlikely to adjust their spaceuse in response to anthropogenic or natural disturbances. 6. Although this dataset represents an atypically large sample of satellite tracked individuals, representative data were obtained at only two key sites.

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Synthesizing 35 years of seagrass spatial data from the Great Barrier Reef World Heritage Area, Queensland, Australia

Carter¹,

McKenna²,

Rasheed³

et al. 2021

Limnol Oceanogr Letters

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Seagrass meadows occupy shallow coastal waters of all continents except Antarctica. Their proximity to coastal processes exposes them to anthropogenic impacts and the loss of well documented ecological services. We surveyed seagrass meadows over a 35-year period, including along 2500 km of coastline within the Great Barrier Reef World Heritage Area (GBRWHA). Included are data from intertidal to 123 m deep with seagrass found as deep as 76 m. There are few spatial data sets available that can be used by the global research community that follow long-term changes in seagrass meadow characteristics, and no validated long-term data sets for the Indo-Pacific that we know of. We provide this data on historical seagrass occurrence across the GBRWHA so that past and future changes can be assessed.

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The impact of environmental factors on marine turtle stranding rates

Cited by 18 publications

References 24 publications

The effectiveness of rehabilitation post catastrophic environmental events as a conservation strategy for marine turtles

The effectiveness of rehabilitation post catastrophic environmental events as a conservation strategy for marine turtles

Space‐use patterns of green turtles in industrial coastal foraging habitat: Challenges and opportunities for informing management with a large satellite tracking dataset

Synthesizing 35 years of seagrass spatial data from the Great Barrier Reef World Heritage Area, Queensland, Australia

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