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Fleury AG, O’Hara CC, Butt N, Restrepo J, Halpern BS, Klein CJ, Kuempel CD, Gaynor KM, Bentley LK, Richardson AJ, Dunn DC. Spatial and life history variation in a trait-based species vulnerability and impact model. PLoS One 2024; 19:e0305950. [PMID: 38905300 PMCID: PMC11192397 DOI: 10.1371/journal.pone.0305950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 06/09/2024] [Indexed: 06/23/2024] Open
Abstract
Anthropogenic pressures threaten biodiversity, necessitating conservation actions founded on robust ecological models. However, prevailing models inadequately capture the spatiotemporal variation in environmental pressures faced by species with high mobility or complex life histories, as data are often aggregated across species' life histories or spatial distributions. We highlight the limitations of static models for dynamic species and incorporate life history variation and spatial distributions for species and stressors into a trait-based vulnerability and impact model. We use green sea turtles in the Greater Caribbean Region to demonstrate how vulnerability and anthropogenic impact for a dynamic species change across four life stages. By incorporating life stages into a trait-based vulnerability model, we observed life stage-specific vulnerabilities that were otherwise unnoticed when using an aggregated trait value set. Early life stages were more vulnerable to some stressors, such as inorganic pollution or marine heat waves, and less vulnerable to others, such as bycatch. Incorporating spatial distributions of stressors and life stages revealed impacts differ for each life stage across spatial areas, emphasizing the importance of stage-specific conservation measures. Our approach showcases the importance of incorporating dynamic processes into ecological models and will enable better and more targeted conservation actions for species with complex life histories and high mobility.
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Affiliation(s)
- Aharon G. Fleury
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
| | - Casey C. O’Hara
- Bren School of Environmental Science and Management, University of California–Santa Barbara, Santa Barbara, California, United States of America
- National Center for Ecological Analysis and Synthesis, University of California–Santa Barbara, Santa Barbara, California, United States of America
| | - Nathalie Butt
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
| | - Jaime Restrepo
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
| | - Benjamin S. Halpern
- Bren School of Environmental Science and Management, University of California–Santa Barbara, Santa Barbara, California, United States of America
- National Center for Ecological Analysis and Synthesis, University of California–Santa Barbara, Santa Barbara, California, United States of America
| | - Carissa J. Klein
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
| | - Caitlin D. Kuempel
- Australian Rivers Institute, Coastal and Marine Research Centre, Griffith University, Nathan, Queensland, Australia
| | - Kaitlyn M. Gaynor
- Departments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lily K. Bentley
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
| | - Anthony J. Richardson
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
- CSIRO Environment, Queensland Biosciences Precinct, St Lucia, Queensland, Australia
| | - Daniel C. Dunn
- Centre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia
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de Oliveira YCBB, Nazareth Rivera D, Carramaschi de Alagão Querido L, da Silva Mourão J. Critical areas for sea turtles in Northeast Brazil: a participatory approach for a data-poor context. PeerJ 2024; 12:e17109. [PMID: 38549781 PMCID: PMC10977088 DOI: 10.7717/peerj.17109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 02/23/2024] [Indexed: 04/02/2024] Open
Abstract
Fishing is one of the main threats to sea turtles due to the risk of entanglement in lost nets, vessel collision and mortality due to incidental catches. In Brazil, most of the studies regarding fishing interactions with sea turtles are focused on pelagic longline fisheries in the South and Southeast regions. However, their main reproductive areas in Southwest Atlantic RMU occur in Northeast Brazil, which overlaps small-scale coastal gillnet fisheries. Here, we aimed to use ethnobiology and participatory approaches as simple and cost-effective methods to identify areas for sea turtle conservation where impacts from small-scale fisheries are most likely. Expert captains were trained to recording sea turtle sightings during navigations from the landing port to the fishing grounds, informing their folk nomenclatures. By interpolation of environmental data (chlorophyll and bathymetry) and ecological data, we predicted habitats of 3,459.96 km² for Caretta caretta, Chelonia mydas, and Eretmochelys imbricata and fishing zones of 1,087 km² for management in 20 m and 50 m depths. Our results contributes to ongoing discussions of bycatch mitigation for sea turtle species and identification of habitats. We highlights the importance of considering particularities of overlapped areas in marine spatial planning and co-management arrangements.
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Affiliation(s)
| | - Douglas Nazareth Rivera
- Programa de Pós-Graduação em Conservação da Fauna, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil
| | | | - José da Silva Mourão
- Departamento de Biologia, Universidade Estadual da Paraíba, Campina Grande, Paraiba, Brazil
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Lasala JA, Macksey MC, Mazzarella KT, Main KL, Foote JJ, Tucker AD. Forty years of monitoring increasing sea turtle relative abundance in the Gulf of Mexico. Sci Rep 2023; 13:17213. [PMID: 37821522 PMCID: PMC10567714 DOI: 10.1038/s41598-023-43651-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/26/2023] [Indexed: 10/13/2023] Open
Abstract
Longitudinal data sets for population abundance are essential for studies of imperiled organisms with long life spans or migratory movements, such as marine turtles. Population status trends are crucial for conservation managers to assess recovery effectiveness. A direct assessment of population growth is the enumeration of nesting numbers and quantifying nesting attempts (successful nests/unsuccessful attempts) and emergence success (number of hatchlings leaving the nest) because of the substantial annual variations due to nest placement, predation, and storm activity. We documented over 133,000 sea turtle crawls for 50.9 km of Florida Gulf of Mexico coastline from 1982 to 2021 for a large loggerhead turtle nesting aggregation and a recovering remnant population of green sea turtles. Over time both species have emerged to nest significantly earlier in the year and green sea turtle nesting seasons have extended. Nest counts and hatchling production for both species have significantly increased, but the rate of emergence success of hatchlings leaving nests has not changed for loggerheads and has declined for green sea turtles. Sea level rise and coastal developments undoubtedly influence coastal habitats in the long-term, impacting nest site selection and potential recruitment from the loss of emerged hatchlings. However, the present indications for steady Gulf of Mexico recovery of loggerhead and green sea turtles counter findings of the Florida Atlantic coasts. This study indicates that effective conservation practices can be detected within time scales of 1-2 turtle generations.
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Affiliation(s)
- Jacob Andrew Lasala
- Sea Turtle Conservation and Research Program, Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, FL, 34236, USA.
| | - Melissa C Macksey
- Sea Turtle Conservation and Research Program, Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, FL, 34236, USA
| | - Kristen T Mazzarella
- Sea Turtle Conservation and Research Program, Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, FL, 34236, USA
| | - Kevan L Main
- Sea Turtle Conservation and Research Program, Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, FL, 34236, USA
| | - Jerris J Foote
- Sea Turtle Conservation and Research Program, Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, FL, 34236, USA
- Parks, Recreation and Natural Resources, Sarasota County, 1660 Ringling Boulevard, Sarasota, FL, 34236, USA
| | - Anton D Tucker
- Sea Turtle Conservation and Research Program, Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, FL, 34236, USA
- Marine Science Program, Biodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Kensington, WA, Australia
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