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Sequeira AMM, Techera EJE. Lessons from a Rubik's Cube to solve the biodiversity crisis. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2025; 39:e14416. [PMID: 39558783 PMCID: PMC12124169 DOI: 10.1111/cobi.14416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/13/2024] [Accepted: 09/17/2024] [Indexed: 11/20/2024]
Abstract
Global biodiversity is facing unprecedented pressures, calling into question the effectiveness of existing governance systems aimed at halting extinctions. Renewed hope arose with the recent Conference of the Parties (COP) to the Convention on Biological Diversity (COP15 December 2022) and the Convention on International Trade in Endangered Species (COP19 November 2022). Yet, barriers remain that hamper biodiversity conservation. Identifying and overcoming these barriers is crucial for success. We considered previous lessons learned to show that current barriers to conservation are centered on a multidimensional array of mismatches among legal (law), ecological (science), and sociocultural (human) dimensions across the short, medium, and long term. Focusing on highly migratory marine megafauna (whales, sharks, and turtles), we used the Rubik's cube as a metaphor to conceptualize the multidimensional mismatches and devised a pathway for solutions that is highly dependent on strict alignment across all dimensions. We recommend the continuous cycling across all dimension interfaces to align the use (and update) of regulations and processes in law, improve data and experimentation methods in science, and develop education and engagement actions in the human dimension. This timely alignment across all dimensions is key to achieving biodiversity targets and avoiding further extinctions.
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Affiliation(s)
- Ana M. M. Sequeira
- Division of Ecology and Evolution, Research School of BiologyThe Australian National UniversityCanberraAustralian Capital TerritoryAustralia
- UWA Oceans Institute and School of Biological SciencesThe University of Western AustraliaPerthWestern AustraliaAustralia
| | - Erika J. E. Techera
- UWA Law School and UWA Oceans InstituteThe University of Western AustraliaPerthWestern AustraliaAustralia
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2
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Mann HF, Wildermann NE, Fu C, Barrios-Garrido H, Shimada T, Pluma N, Duarte CM. Green turtle tracking leads the discovery of seagrass blue carbon resources. Proc Biol Sci 2024; 291:20240502. [PMID: 39591998 PMCID: PMC11597470 DOI: 10.1098/rspb.2024.0502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/10/2024] [Accepted: 10/22/2024] [Indexed: 11/28/2024] Open
Abstract
Seagrass meadows are natural carbon sinks, and their conservation and restoration play a crucial role in climate change mitigation and adaptation. However, blue carbon projects are hindered, in most nations, by major gaps in understanding the distribution and extent of seagrasses. Here, we show how satellite tracking of green turtles (Chelonia mydas) provided a major advance in identifying novel seagrass blue carbon resources in the Red Sea. By tracking 53 nesting green turtles, we identified 38 distinctive foraging sites. All ground-truthed foraging sites (100%) identified a seagrass meadow, surpassing the 40% (n = 30) accuracy of satellite imagery-based inferences. Sampling from these turtle-derived locations represents a greater range of depths than previously sampled in the Red Sea providing a carbon stock estimate of 4.89 ± 0.83 kg Corg (organic carbon) m-2. By improving estimates of seagrass extent and associated blue carbon, our approach can support the conservation of blue carbon resources in data-deficient regions worldwide.
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Affiliation(s)
- Hugo F. Mann
- Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah23955-6900, Saudi Arabia
| | - Natalie E. Wildermann
- Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah23955-6900, Saudi Arabia
| | - Chuancheng Fu
- Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah23955-6900, Saudi Arabia
| | - Hector Barrios-Garrido
- Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah23955-6900, Saudi Arabia
| | | | - Naira Pluma
- Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah23955-6900, Saudi Arabia
| | - Carlos M. Duarte
- Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah23955-6900, Saudi Arabia
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García-Loor J, Gallego-Abenza M, Katsis AC, Puehringer-Sturmayr V, Colombelli-Négrel D, Akçay Ç, Kleindorfer S. Aggressive behavior as a predictor of home range size: findings from both range-restricted and widespread Darwin's finch species. JOURNAL OF ORNITHOLOGY 2024; 166:247-261. [PMID: 39897460 PMCID: PMC11779779 DOI: 10.1007/s10336-024-02215-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 05/15/2024] [Accepted: 09/09/2024] [Indexed: 02/04/2025]
Abstract
Information about an animal's home range (the geographical area in which it accesses resources for survival and reproduction) is vital broadly for understanding animal behavior and specifically for developing conservation management plans. Although personality traits-consistent individual differences in behavior across time and contexts-may affect an animal's home range size, we still lack a breadth of empirical studies across systems to fully appreciate this influence. Here, we tested the relationship between behavioral responses and home range size in two Darwin's finch species on Floreana Island: the critically endangered and range-restricted Medium Tree Finch (Camarhynchus pauper) and the common and widespread Small Ground Finch (Geospiza fuliginosa). Using a combination of rapid-assessment assays during both short-term captivity and in the field, we measured exploration and aggressiveness in males from both species. We then used radio telemetry to measure each bird's home range size over a week-long period. We predicted that (1) fast-exploring individuals would have larger home ranges, and (2) more aggressive individuals would have smaller home ranges. We found that Medium Tree Finches had smaller home ranges than Small Ground Finches, that exploratory behavior was positively correlated with home range size only in Small Ground Finches, and that, in both species, individuals' aggressiveness was negatively correlated with home range size, whereby the more aggressive individuals occupied smaller home ranges. We conclude that behavioral responses that align with major personality traits can predict home range size, which may provide an important tool for the conservation and management of endangered species when, for example, selecting individuals with different personality profiles for reintroduction. Supplementary Information The online version contains supplementary material available at 10.1007/s10336-024-02215-7.
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Affiliation(s)
- Jefferson García-Loor
- Department of Behavioral and Cognitive Biology, University of Vienna, 1030 Vienna, Austria
- Konrad Lorenz Research Center for Behavior and Cognition, University of Vienna, 4645 Vienna, Austria
| | - Mario Gallego-Abenza
- Konrad Lorenz Research Center for Behavior and Cognition, University of Vienna, 4645 Vienna, Austria
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Andrew C. Katsis
- Department of Behavioral and Cognitive Biology, University of Vienna, 1030 Vienna, Austria
- Konrad Lorenz Research Center for Behavior and Cognition, University of Vienna, 4645 Vienna, Austria
- College of Science and Engineering, Flinders University, Adelaide, 5001 Australia
| | | | | | - Çağlar Akçay
- School of Life Sciences, Anglia Ruskin University, Cambridge, UK
- Department of Psychology, Koç University, Istanbul, Turkey
| | - Sonia Kleindorfer
- Department of Behavioral and Cognitive Biology, University of Vienna, 1030 Vienna, Austria
- Konrad Lorenz Research Center for Behavior and Cognition, University of Vienna, 4645 Vienna, Austria
- College of Science and Engineering, Flinders University, Adelaide, 5001 Australia
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Himpson K, Dixon S, Le Berre T. Evaluation of sea turtle morbidity and mortality within the Indian Ocean from 12 years of data shows high prevalence of ghost net entanglement. PLoS One 2023; 18:e0289167. [PMID: 37556405 PMCID: PMC10411791 DOI: 10.1371/journal.pone.0289167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 07/12/2023] [Indexed: 08/11/2023] Open
Abstract
Anthropogenic activities can negatively affect sea turtle populations. Quantifying the effect of human actions on these threatened species can help guide management strategies to reduce adverse impacts. However, such assessments require extensive effort and resources and as such have not been carried out in many areas of important sea turtle habitat, including the Republic of the Maldives (Maldives). Here, we utilise 12 years of data (2010-2022) collected from marine turtle stranding and rehabilitation cases from across the Maldives to identify the key threats in this region. Olive ridley turtles were found stranded or injured most frequently (74.7% of total cases), along with hawksbill (15.2%), and green (10.1%) turtles. Anthropogenic factors were the primary cause of injury or stranding in 75.2% of cases with entanglement in ghost fishing gear being the most common (66.2% of all cases). Other causes of morbidity, such as from turtles being kept as pets (5.6%), boat strikes (<1%), bycatch (<1%), and poaching (<1%) were recorded less frequently. Olive ridley turtles were more likely to have injuries associated with entanglement than other species and showed a peak in admissions during the northeast monsoon, in the period following the known arribada nesting season in nearby India. Turtles admitted to rehabilitation following entanglement were released a mean of 70 days sooner and had 27.5% lower mortality rates than for other causes of admission. This study highlights the high prevalence of ghost net entanglement of sea turtles within the Maldives. The topic of ghost fishing is of global importance and international cooperation is critical in tackling this growing issue.
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Affiliation(s)
| | - Simon Dixon
- Reefscapers Ltd Plc, Malé, Republic of the Maldives
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Green turtle movements in the Gulf of Mexico: Tracking reveals new migration corridor and habitat use suggestive of MPA expansion. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2023.e02380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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Pinti J, Shatley M, Carlisle A, Block BA, Oliver MJ. Using pseudo-absence models to test for environmental selection in marine movement ecology: the importance of sample size and selection strength. MOVEMENT ECOLOGY 2022; 10:60. [PMID: 36581885 PMCID: PMC9798696 DOI: 10.1186/s40462-022-00362-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Understanding the selection of environmental conditions by animals requires knowledge of where they are, but also of where they could have been. Presence data can be accurately estimated by direct sampling, sightings, or through electronic tag deployments. However, absence data are harder to determine because absences are challenging to measure in an uncontrolled setting. To address this problem, ecologists have developed different methods for generating pseudo-absence data relying on theoretical movement models. These null models represent the movement of environmentally naive individuals, creating a set of locations that animals could have been if they were not exhibiting environmental selection. METHODS Here, we use four different kinds of null animal movement models-Brownian motion, Lévy walks, Correlated random walks, and Joint correlated random walks to test the ability and power of each of these null movement models to serve as appropriate animal absence models. We use Kolmogorov-Smirnov tests to detect environmental selection using two data sets, one of simulated animal tracks biased towards warmer sea surface temperatures, and one of 57 observed blue shark tracks of unknown sea surface temperature selection. RESULTS The four different types of movement models showed minimal difference in the ability to serve as appropriate null models for environmental selection studies. Selection strength and sample size were more important in detecting true environmental selection. We show that this method can suffer from high false positive rates, especially in the case where animals are not selecting for specific environments. We provide estimates of test accuracy at different sample sizes and selection strengths to avoid false positives when using this method. CONCLUSION We show how movement models can be used to generate pseudo-absences and test for habitat selection in marine organisms. While this approach efficiently detects environmental selection in marine organisms, it cannot detect the underlying mechanisms driving this selection.
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Affiliation(s)
- Jérôme Pinti
- College of Earth, Ocean, and Environment, University of Delaware, Lewes, DE, 19958, USA.
| | - Matthew Shatley
- College of Earth, Ocean, and Environment, University of Delaware, Lewes, DE, 19958, USA
| | - Aaron Carlisle
- College of Earth, Ocean, and Environment, University of Delaware, Lewes, DE, 19958, USA
| | - Barbara A Block
- Hopkins Marine Station, Biology Department, Stanford University, Pacific Grove, CA, 93950, USA
| | - Matthew J Oliver
- College of Earth, Ocean, and Environment, University of Delaware, Lewes, DE, 19958, USA
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Siegfried TR, Reimer J, Roberto E, Noren C, Vidal A, Dixon K, DuBois M, Piacenza SE. Size-Mediated Sea Turtle Behavioral Responses at Artificial Habitats in the Northern Gulf of Mexico. Animals (Basel) 2022; 13:ani13010114. [PMID: 36611724 PMCID: PMC9817786 DOI: 10.3390/ani13010114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/24/2022] [Accepted: 12/26/2022] [Indexed: 12/29/2022] Open
Abstract
Our understanding of size-specific sea turtle behavior has lagged due to methodological limitations. However, stereo-video cameras (SVC) are an in-water approach that can link body-size and allow for relatively undisturbed behavioral observations. In this study, we conducted SVC dive surveys at local artificial reefs, piers, and jetties in the northern Gulf of Mexico (nGOM) from May 2019 to August 2021. Using SVCs, we measured sea turtle straight carapace length, documented behaviors, and quantified wariness by assessing minimum approach distance (MAD). In green sea turtles (Chelonia mydas), the observed MAD ranged from 0.72 to 5.99 m (mean 2.10 m ± 1.10 standard deviation (SD), n = 73). For loggerhead sea turtles (Caretta caretta), the MAD ranged between 0.93 and 3.80 m (mean 2.12 m ± 0.99 SD, n = 16). Kemp's ridley sea turtles (Lepidochelys kempii) were similar to loggerheads, and MAD ranged from 0.78 to 3.63 m (mean 2.35 m ± 0.99 SD, n = 8). We then evaluated what biological factors could impact the MAD observed by species, but we excluded Kemp's ridleys as the sample size was small. Using a linear mixed model and model selection based on AICc, the top ranked model for both green and loggerhead sea turtles included SCL as the most important factor influencing MAD. MAD did not vary with habitat type for either species. Our results showed that larger individuals, regardless of species, have a greater wariness response, becoming startled at greater distances than smaller individuals. The findings of our study support the use of SVC as an accessible, non-invasive tool to conduct ecologically relevant in-water surveys of sea turtles to link behavioral observations to body size.
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Affiliation(s)
| | - Jackson Reimer
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
| | - Emma Roberto
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
| | - Christopher Noren
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
- Darling Marine Center, University of Maine, Walpole, ME 04573, USA
| | - Alex Vidal
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
- United States Fish and Wildlife Service, Maryland Fish and Wildlife Conservation Office, Annapolis, MD 21401, USA
| | - Kristi Dixon
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
| | - Morgan DuBois
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
| | - Susan E. Piacenza
- Department of Biology, University of West Florida, Pensacola, FL 32514, USA
- Department of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Corvallis, OR 97331, USA
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Snape RT, Beton D, Davey S, Godley BJ, Haywood J, Omeyer LC, Ozkan M, Broderick AC. Mediterranean green turtle population recovery increasingly depends on Lake Bardawil, Egypt. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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9
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Hoare V, Atchison Balmond N, Hays GC, Jones R, Koldewey H, Laloë JO, Levy E, Llewellyn F, Morrall H, Esteban N. Spatial variation of plastic debris on important turtle nesting beaches of the remote Chagos Archipelago, Indian Ocean. MARINE POLLUTION BULLETIN 2022; 181:113868. [PMID: 35835050 DOI: 10.1016/j.marpolbul.2022.113868] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 06/14/2022] [Accepted: 06/16/2022] [Indexed: 06/15/2023]
Abstract
We report Anthropogenic Marine Debris (AMD) in Chagos Archipelago in the Indian Ocean, globally amongst the most isolated island groups. AMD on 14 island beaches in five atolls were surveyed in 2019 using two techniques: Marine Debris Tracker (MDT) along littoral vegetation and photoquadrats in open beach. Over 60 % of AMD in both beach zones was composed of plastics, especially bottles and fragments (mean = 44.9 %, 27.2 %, range = 16.5-73.2 %, 4.8-55.9 % respectively in vegetation; mean = 28.7 %, 31.5 %, range = 17.7-40.7 %, 11.6-60.0 % respectively in open beach). The density of plastic debris in littoral vegetation (MDT data: 1995 bottles, 3328 fragments per 100 m2) was 10-fold greater than in open beach (photoquadrat data: 184 bottles, 106 fragments per 100 m2). Significant latitudinal variation in vegetation AMD occurred (8-fold greater in southern atolls, p = 0.006). AMD varied within island zones: most debris observed on oceanside beaches (oceanside vs lagoon, W = 365, p < 0.001; ocean vs island tip, W = 107, p = 0.034). Standardisation of surveys using the open-source MDT App is recommended. Debris accumulation hotspots overlapped with sea turtle nesting habitat, guiding future beach clean-up prioritisation.
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Affiliation(s)
- V Hoare
- Swansea University, Faculty of Science and Engineering, Swansea SA2 8PP, Wales, UK; Imperial College London, Centre for Environmental Policy, London SW7 1NE, UK
| | - N Atchison Balmond
- British Indian Ocean Territory, King Charles Street, London SW1A 2AH, UK
| | - G C Hays
- Deakin University, School of Life and Environmental Sciences, Geelong, Victoria 3216, Australia
| | - R Jones
- Zoological Society of London, Regents Park, London NW1 4RY, UK
| | - H Koldewey
- Zoological Society of London, Regents Park, London NW1 4RY, UK; Centre for Ecology and Conservation, University of Exeter, Cornwall TR10 9EZ, UK
| | - J-O Laloë
- Deakin University, School of Life and Environmental Sciences, Geelong, Victoria 3216, Australia
| | - E Levy
- Zoological Society of London, Regents Park, London NW1 4RY, UK
| | - F Llewellyn
- Zoological Society of London, Regents Park, London NW1 4RY, UK
| | - H Morrall
- Natural England, Foss House, Kings Pool, 1-2 Peasholme Green, York YO1 7PX, UK
| | - N Esteban
- Swansea University, Faculty of Science and Engineering, Swansea SA2 8PP, Wales, UK.
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Figgener C, Bernardo J, Plotkin PT. Marine turtles are only minimally sexually size dimorphic, a pattern that is distinct from most nonmarine aquatic turtles. Ecol Evol 2022; 12:e8963. [PMID: 35784046 PMCID: PMC9163671 DOI: 10.1002/ece3.8963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 04/01/2022] [Accepted: 05/06/2022] [Indexed: 11/22/2022] Open
Abstract
Turtles have been prominent subjects of sexual size dimorphism (SSD) analyses due to their compact taxonomy, mating systems, and habitat diversity. In prior studies, marine turtles were grouped with fully aquatic non-marine turtles (NMATs). This is interesting because it is well-established that the marine environment imposes a distinct selective milieu on body form of vagile vertebrates, driven by convergent adaptations for energy-efficient propulsion and drag reduction. We generated a comprehensive database of adult marine turtle body sizes (38,569 observations across all species), which we then used to evaluate the magnitude of SSD in marine turtles and how it compares to SSD in NMAT. We find that marine turtles are only minimally sexually size dimorphic, whereas NMAT typically exhibit female-biased SSD. We argue that the reason for this difference is the sustained long-distance swimming that characterizes marine turtle ecology, which entails significant energetic costs incurred by both sexes. Hence, the ability of either sex to allocate proportionately more to growth than the other is likely constrained, meaning that sexual differences in growth and resultant body size are not possible. Consequently, grouping marine turtles with NMAT dilutes the statistical signature of different kinds of selection on SSD and should be avoided in future studies.
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Affiliation(s)
- Christine Figgener
- Marine Biology Interdisciplinary ProgramTexas A&M UniversityCollege StationTexasUSA
- Department of BiologyTexas A&M UniversityCollege StationTexasUSA
- Department of OceanographyTexas A&M UniversityCollege StationTexasUSA
- Costa Rican Alliance for Sea Turtle Conservation & Science (COASTS)GandocaCosta Rica
| | - Joseph Bernardo
- Marine Biology Interdisciplinary ProgramTexas A&M UniversityCollege StationTexasUSA
- Department of BiologyTexas A&M UniversityCollege StationTexasUSA
- Program in Ecology and Evolutionary BiologyTexas A&M UniversityCollege StationTexasUSA
| | - Pamela T. Plotkin
- Marine Biology Interdisciplinary ProgramTexas A&M UniversityCollege StationTexasUSA
- Department of OceanographyTexas A&M UniversityCollege StationTexasUSA
- Texas Sea GrantTexas A&M UniversityCollege StationTexasUSA
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Finch D, Schofield H, Firth JA, Mathews F. Social networks of the greater horseshoe bat during the hibernation season: a landscape-scale case study. Anim Behav 2022. [DOI: 10.1016/j.anbehav.2022.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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van de Geer CH, Bourjea J, Broderick AC, Dalleau M, Fernandes RS, Harris LR, Inteca GE, Kiponda FK, Louro CMM, Mortimer JA, Msangameno D, Mwasi LD, Nel R, Okemwa GM, Olendo M, Pereira MAM, Rees AF, Silva I, Singh S, West L, Williams JL, Godley BJ. Marine turtles of the African east coast: current knowledge and priorities for conservation and research. ENDANGER SPECIES RES 2022. [DOI: 10.3354/esr01180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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13
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Chatzimentor A, Almpanidou V, Doxa A, Dimitriadis C, Mazaris AD. Projected redistribution of sea turtle foraging areas reveals important sites for conservation. CLIMATE CHANGE ECOLOGY 2021. [DOI: 10.1016/j.ecochg.2021.100038] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Pilcher NJ, Antonopoulou MA, Rodriguez-Zarate CJ, Al-Sareeria TS, Baldwin R, Willson A, Willson MS. Wide-Scale Population Connectivity Revealed by Postnesting Migrations of Green Sea Turtles from Ras Al Hadd, Oman. CHELONIAN CONSERVATION AND BIOLOGY 2021. [DOI: 10.2744/ccb-1462.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
| | | | | | | | - Robert Baldwin
- Five Oceans Environmental Services LLC, Muscat, Oman [; ]
| | - Andrew Willson
- Five Oceans Environmental Services LLC, Muscat, Oman [; ]
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Robinson DP, Hyland K, Beukes G, Vettan A, Mabadikate A, Jabado RW, Rohner CA, Pierce SJ, Baverstock W. Satellite tracking of rehabilitated sea turtles suggests a high rate of short-term survival following release. PLoS One 2021; 16:e0246241. [PMID: 33592007 PMCID: PMC7886132 DOI: 10.1371/journal.pone.0246241] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 01/15/2021] [Indexed: 11/20/2022] Open
Abstract
The rehabilitation of wildlife can contribute directly to the conservation of threatened species by helping to maintain wild populations. This study focused on determining the post-rehabilitation survival and spatial ecology of sea turtles and on comparing the movements of individuals with flipper amputations (amputees) to non-amputee animals. Our aims were to assess whether rehabilitated sea turtles survive after release, to compare and contrast the movement characteristics of the different species of sea turtles we tracked, and to examine whether amputees and non-amputees within species behaved similarly post-release. Twenty-six rehabilitated sea turtles from four species, including hawksbill Eretmochelys imbricata (n = 12), loggerhead Caretta caretta (n = 11), green Chelonia mydas (n = 2), and olive ridley Lepidochelys olivacea (n = 1) sea turtles from the United Arab Emirates were fitted with satellite tags before release. Rehabilitation times ranged from 89 to 817 days (mean 353 ± 237 days). Post-release movements and survival were monitored for 8 to 387 days (mean 155 ± 95 days) through satellite tracking. Tag data suggested that three tracked sea turtles died within four days of release, one after 27 days, and one after 192 days from what are thought to be anthropogenic factors unrelated to their pre-rehabilitation ailments. We then compared habitat use and movement characteristics among the different sea turtle species. Although half of all turtles crossed one or more international boundaries, dispersal varied among species. Loggerhead turtles had a high dispersal, with 80% crossing an international boundary, while hawksbill turtles displayed higher post-release residency, with 66% remaining within UAE territorial waters. Amputee turtles moved similarly to non-amputee animals of the same species. Loggerhead turtles travelled faster (mean ± sd = 15.3 ± 8 km/day) than hawksbill turtles (9 ± 7 km/day). Both amputee and non-amputee sea turtles within a species moved similarly. Our tracking results highlight that rehabilitated sea turtles, including amputees, can successfully survive in the wild following release for up to our ~one-year monitoring time therefore supporting the suitability for release of sea turtles that have recovered from major injuries such as amputations. However, more broadly, the high mortality from anthropogenic factors in the Arabian Gulf region is clearly a serious issue and conservation challenge.
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Affiliation(s)
- David P. Robinson
- Dubai Turtle Rehabilitation Project, Dubai, UAE
- Sundive Research, Byron Bay, NSW, Australia
- Marine Megafauna Foundation, Truckee, CA, United States of America
| | - Kevin Hyland
- Dubai Turtle Rehabilitation Project, Dubai, UAE
- Wildlife Protection Office, Dubai, UAE
| | - Gerhard Beukes
- Dubai Turtle Rehabilitation Project, Dubai, UAE
- Jumeirah Group, Dubai, UAE
| | - Abdulkareem Vettan
- Dubai Turtle Rehabilitation Project, Dubai, UAE
- Jumeirah Group, Dubai, UAE
| | | | | | | | - Simon J. Pierce
- Marine Megafauna Foundation, Truckee, CA, United States of America
| | - Warren Baverstock
- Dubai Turtle Rehabilitation Project, Dubai, UAE
- Amaala, Riyadh, Kingdom of Saudi Arabia
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Luschi P, Sözbilen D, Cerritelli G, Ruffier F, Başkale E, Casale P. A biphasic navigational strategy in loggerhead sea turtles. Sci Rep 2020; 10:18130. [PMID: 33093603 PMCID: PMC7581759 DOI: 10.1038/s41598-020-75183-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 10/05/2020] [Indexed: 11/22/2022] Open
Abstract
The homing journeys of nine loggerhead turtles translocated from their nesting beach to offshore release sites, were reconstructed through Argos and GPS telemetry while their water-related orientation was simultaneously recorded at high temporal resolution by multi-sensor data loggers featuring a three-axis magnetic sensor. All turtles managed to return to the nesting beach area, although with indirect routes encompassing an initial straight leg not precisely oriented towards home, and a successive homebound segment carried out along the coast. Logger data revealed that, after an initial period of disorientation, turtles were able to precisely maintain a consistent direction for several hours while moving in the open sea, even during night-time. Their water-related headings were in accordance with the orientation of the resulting route, showing little or no effect of current drift. This study reveals a biphasic homing strategy of displaced turtles involving an initial orientation weakly related to home and a successive shift to coastal navigation, which is in line with the modern conceptual framework of animal migratory navigation as deriving from sequential mechanisms acting at different spatial scales.
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Affiliation(s)
- Paolo Luschi
- Department of Biology, University of Pisa, Pisa, Italy.
| | - Dogan Sözbilen
- Department of Veterinary, Acıpayam Vocational School, Pamukkale University, Denizli, Turkey
| | | | | | - Eyup Başkale
- Department of Biology, Faculty of Arts and Sciences, Pamukkale University, Denizli, Turkey
| | - Paolo Casale
- Department of Biology, University of Pisa, Pisa, Italy
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17
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Combining laparoscopy and satellite tracking: Successful round-trip tracking of female green turtles from feeding areas to nesting grounds and back. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01169] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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18
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Hays GC, Rattray A, Esteban N. Addressing tagging location bias to assess space use by marine animals. J Appl Ecol 2020. [DOI: 10.1111/1365-2664.13720] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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19
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Pinti J, Celani A, Thygesen UH, Mariani P. Optimal navigation and behavioural traits in oceanic migrations. THEOR ECOL-NETH 2020. [DOI: 10.1007/s12080-020-00469-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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20
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Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles. Genes (Basel) 2020; 11:genes11030278. [PMID: 32150879 PMCID: PMC7140902 DOI: 10.3390/genes11030278] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 02/19/2020] [Accepted: 02/28/2020] [Indexed: 11/17/2022] Open
Abstract
Understanding how ocean currents impact the distribution and connectivity of marine species, provides vital information for the effective conservation management of migratory marine animals. Here, we used a combination of molecular genetics and ocean drift simulations to investigate the spatial ecology of juvenile green turtle (Chelonia mydas) developmental habitats, and assess the role of ocean currents in driving the dispersal of green turtle hatchlings. We analyzed mitochondrial (mt)DNA sequenced from 358 juvenile green turtles, and from eight developmental areas located throughout the Southwest Indian Ocean (SWIO). A mixed stock analysis (MSA) was applied to estimate the level of connectivity between developmental sites and published genetic data from 38 known genetic stocks. The MSA showed that the juvenile turtles at all sites originated almost exclusively from the three known SWIO stocks, with a clear shift in stock contributions between sites in the South and Central Areas. The results from the genetic analysis could largely be explained by regional current patterns, as shown by the results of passive numerical drift simulations linking breeding sites to developmental areas utilized by juvenile green turtles. Integrating genetic and oceanographic data helps researchers to better understand how marine species interact with ocean currents at different stages of their lifecycle, and provides the scientific basis for effective conservation management.
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21
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Estimates of marine turtle nesting populations in the south-west Indian Ocean indicate the importance of the Chagos Archipelago. ORYX 2020. [DOI: 10.1017/s0030605319001108] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
AbstractGlobal marine turtle population assessments highlight the importance of the south-west Indian Ocean region, despite data gaps for the Chagos Archipelago. The archipelago hosts nesting hawksbill Eretmochelys imbricata and green turtles Chelonia mydas, both heavily exploited for 2 centuries until protection in 1968–1970. We assessed available nesting habitat and spatial distribution of nesting activity during rapid surveys of 90% of the archipelago's coastline in 1996, 1999, 2006 and 2016. We quantified seasonality and mean annual egg clutch production from monthly track counts during 2006–2018 along a 2.8 km index beach on Diego Garcia island. An estimated 56% (132 km) of coastline provided suitable nesting habitat. Diego Garcia and Peros Banhos atolls accounted for 90.4% of hawksbill and 70.4% of green turtle nesting. Hawksbill turtles showed distinct nesting peaks during October–February, and green turtles nested year-round with elevated activity during June–October. Estimates of 6,300 hawksbill and 20,500 green turtle clutches laid annually during 2011–2018 indicate that nesting on the Chagos Archipelago has increased 2–5 times for hawksbill turtles and 4–9 times for green turtles since 1996. Regional estimates indicate green turtles produce 10 times more egg clutches than hawksbill turtles, and the Chagos Archipelago accounts for 39–51% of an estimated 12,500–16,000 hawksbill and 14–20% of an estimated 104,000–143,500 green turtle clutches laid in the south-west Indian Ocean. The improved status may reflect > 40 years without significant exploitation. Long-term monitoring is needed to captureinterannual variation in nesting numbers and minimize uncertainty in population estimates.
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22
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Shimada T, Limpus CJ, Hamann M, Bell I, Esteban N, Groom R, Hays GC. Fidelity to foraging sites after long migrations. J Anim Ecol 2019; 89:1008-1016. [PMID: 31785174 DOI: 10.1111/1365-2656.13157] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 10/20/2019] [Indexed: 11/28/2022]
Abstract
Patterns of animal movement associated with foraging lie at the heart of many ecological studies and often animals face decisions of staying in an environment they know versus relocating to new sites. The lack of knowledge of new foraging sites means there is risk associated with a decision to relocate (e.g. poor foraging) as well as a potential benefit (e.g. improved foraging). Using a unique long-term satellite tracking dataset for several sea turtle species, combined with capture-mark-recapture data extending over 50 years, we show how, across species, individuals generally maintain tight fidelity to specific foraging sites after extended (up to almost 10,000 km) migration to and from distant breeding sites as well as across many decades. Migrating individuals often travelled through suitable foraging areas en route to their 'home' site and so extended their journeys to maintain foraging site fidelity. We explore the likely mechanistic underpinnings of this trait, which is also seen in some migrating birds, and suggest that individuals will forgo areas of suitable forage encountered en route during migration when they have poor knowledge of the long-term suitability of those sites, making relocation to those sites risky.
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Affiliation(s)
- Takahiro Shimada
- College of Science and Engineering, James Cook University, Townsville, Qld, Australia.,Australian Institute of Marine Science, Crawley, WA, Australia
| | - Colin J Limpus
- Threatened Species Unit, Department of Environment and Science, Queensland Government, Brisbane, Qld, Australia
| | - Mark Hamann
- College of Science and Engineering, James Cook University, Townsville, Qld, Australia
| | - Ian Bell
- Threatened Species Unit, Department of Environment and Science, Queensland Government, Brisbane, Qld, Australia
| | - Nicole Esteban
- Department of Biosciences, Swansea University, Swansea, UK
| | - Rachel Groom
- Department of Environment and Natural Resources, Northern Territory Government of Australia, Palmerston, NT, Australia
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23
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Sequeira AMM, Heupel MR, Lea MA, Eguíluz VM, Duarte CM, Meekan MG, Thums M, Calich HJ, Carmichael RH, Costa DP, Ferreira LC, Fernandéz-Gracia J, Harcourt R, Harrison AL, Jonsen I, McMahon CR, Sims DW, Wilson RP, Hays GC. The importance of sample size in marine megafauna tagging studies. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2019; 29:e01947. [PMID: 31183944 DOI: 10.1002/eap.1947] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2018] [Revised: 04/10/2019] [Accepted: 04/17/2019] [Indexed: 06/09/2023]
Abstract
Telemetry is a key, widely used tool to understand marine megafauna distribution, habitat use, behavior, and physiology; however, a critical question remains: "How many animals should be tracked to acquire meaningful data sets?" This question has wide-ranging implications including considerations of statistical power, animal ethics, logistics, and cost. While power analyses can inform sample sizes needed for statistical significance, they require some initial data inputs that are often unavailable. To inform the planning of telemetry and biologging studies of marine megafauna where few or no data are available or where resources are limited, we reviewed the types of information that have been obtained in previously published studies using different sample sizes. We considered sample sizes from one to >100 individuals and synthesized empirical findings, detailing the information that can be gathered with increasing sample sizes. We complement this review with simulations, using real data, to show the impact of sample size when trying to address various research questions in movement ecology of marine megafauna. We also highlight the value of collaborative, synthetic studies to enhance sample sizes and broaden the range, scale, and scope of questions that can be answered.
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Affiliation(s)
- A M M Sequeira
- IOMRC and The University of Western Australia Oceans Institute, School of Biological Sciences, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009, Australia
| | - M R Heupel
- Australian Institute of Marine Science, PMB No 3, Townsville, Queensland, 4810, Australia
| | - M-A Lea
- Institute for Marine and Antarctic Studies, University of Tasmania, 20 Castray Esplanade, Hobart, Tasmania, 7000, Australia
| | - V M Eguíluz
- Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC - UIB), E-07122, Palma de Mallorca, Spain
| | - C M Duarte
- Red Sea Research Centre (RSRC), King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
| | - M G Meekan
- Australian Institute of Marine Science, Indian Ocean Marine Research Centre (M096), University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009 Australia
| | - M Thums
- Australian Institute of Marine Science, Indian Ocean Marine Research Centre (M096), University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009 Australia
| | - H J Calich
- IOMRC and The University of Western Australia Oceans Institute, Oceans Graduate School, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009, Australia
| | - R H Carmichael
- Dauphin Island Sea Lab and, University of South Alabama, 101 Bienville Boulevard, Dauphin Island, Alabama, 36528, USA
| | - D P Costa
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, California, 95060, USA
| | - L C Ferreira
- Australian Institute of Marine Science, Indian Ocean Marine Research Centre (M096), University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009 Australia
| | - J Fernandéz-Gracia
- Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC - UIB), E-07122, Palma de Mallorca, Spain
| | - R Harcourt
- Department of Biological Sciences, Macquarie University, Sydney, New South Wales, 2109, Australia
| | - A-L Harrison
- Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, PO Box 37012 MRC 5503 MBC, Washington, D.C., 20013, USA
| | - I Jonsen
- Department of Biological Sciences, Macquarie University, Sydney, New South Wales, 2109, Australia
| | - C R McMahon
- Department of Biological Sciences, Macquarie University, Sydney, New South Wales, 2109, Australia
- Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, 2088, New South Wales, Australia
| | - D W Sims
- Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth, PL1 2PB, United Kingdom
- Ocean and Earth Science, National Oceanography Centre Southampton, Waterfront Campus, University of Southampton, Southampton, SO14 3ZH, United Kingdom
| | - R P Wilson
- Department of Biosciences, Swansea University, Swansea, United Kingdom
| | - G C Hays
- Deakin University, Geelong, Victoria, Australia
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24
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A Synthesis of Opportunities for Applying the Telecoupling Framework to Marine Protected Areas. SUSTAINABILITY 2019. [DOI: 10.3390/su11164450] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The world’s oceans face unprecedented anthropogenic threats in the globalized era that originate from all over the world, including climate change, global trade and transportation, and pollution. Marine protected areas (MPAs) serve important roles in conservation of marine biodiversity and ecosystem resilience, but their success is increasingly challenged in the face of such large-scale threats. Here, we illustrate the utility of adopting the interdisciplinary telecoupling framework to better understand effects that originate from distant places and cross MPA boundaries (e.g., polluted water circulation, anthropogenic noise transport, human and animal migration). We review evidence of distal processes affecting MPAs and the cutting-edge approaches currently used to investigate these processes. We then introduce the umbrella framework of telecoupling and explain how it can help address knowledge gaps that exist due to limitations of past approaches that are centered within individual disciplines. We then synthesize five examples from the recent telecoupling literature to explore how the telecoupling framework can be used for MPA research. These examples include the spatial subsidies approach, adapted social network analysis, telecoupled qualitative analysis, telecoupled supply chain analysis, and decision support tools for telecoupling. Our work highlights the potential for the telecoupling framework to better understand and address the mounting and interconnected socioeconomic and environmental sustainability challenges faced by the growing number of MPAs around the world.
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25
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Evidence and patterns of tuna spawning inside a large no-take Marine Protected Area. Sci Rep 2019; 9:10772. [PMID: 31341251 PMCID: PMC6656763 DOI: 10.1038/s41598-019-47161-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 07/09/2019] [Indexed: 11/14/2022] Open
Abstract
The Phoenix Islands Protected Area (PIPA), one of the world’s largest marine protected areas, represents 11% of the exclusive economic zone of the Republic of Kiribati, which earns much of its GDP by selling tuna fishing licenses to foreign nations. We have determined that PIPA is a spawning area for skipjack (Katsuwonus pelamis), bigeye (Thunnus obesus), and yellowfin (Thunnus albacares) tunas. Our approach included sampling larvae on cruises in 2015–2017 and using a biological-physical model to estimate spawning locations for collected larvae. Temperature and chlorophyll conditions varied markedly due to observed ENSO states: El Niño (2015) and neutral (2016–2017). However, larval tuna distributions were similar amongst years. Generally, skipjack larvae were patchy and more abundant near PIPA’s northeast corner, while Thunnus larvae exhibited lower and more even abundances. Genetic barcoding confirmed the presence of bigeye (Thunnus obesus) and yellowfin (Thunnus albacares) tuna larvae. Model simulations indicated that most of the larvae collected inside PIPA in 2015 were spawned inside, while stronger currents in 2016 moved more larvae across PIPA’s boundaries. Larval distributions and relative spawning output simulations indicated that both focal taxa spawned inside PIPA in all 3 study years, demonstrating that PIPA is protecting viable tuna spawning habitat.
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26
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Pancerasa M, Sangiorgio M, Ambrosini R, Saino N, Winkler DW, Casagrandi R. Reconstruction of long-distance bird migration routes using advanced machine learning techniques on geolocator data. J R Soc Interface 2019; 16:20190031. [PMID: 31213173 DOI: 10.1098/rsif.2019.0031] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Geolocators are a well-established technology to reconstruct migration routes of animals that are too small to carry satellite tags (e.g. passerine birds). These devices record environmental light-level data that enable the reconstruction of daily positions from the time of twilight. However, all current methods for analysing geolocator data require manual pre-processing of raw records to eliminate twilight events showing unnatural variation in light levels, a step that is time-consuming and must be accomplished by a trained expert. Here, we propose and implement advanced machine learning techniques to automate this procedure and we apply them to 108 migration tracks of barn swallows ( Hirundo rustica). We show that routes reconstructed from the automated pre-processing are comparable to those obtained from manual selection accomplished by a human expert. This raises the possibility of fully automating light-level geolocator data analysis and possibly analysing the large amount of data already collected on several species.
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Affiliation(s)
- Mattia Pancerasa
- 1 Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano , Via Giuseppe Ponzio, 34, Milano 20133 , Italy
| | - Matteo Sangiorgio
- 1 Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano , Via Giuseppe Ponzio, 34, Milano 20133 , Italy
| | - Roberto Ambrosini
- 2 Department of Environmental Science and Policy, Università degli Studi di Milano , Via Celoria 26, Milano 20133 , Italy
| | - Nicola Saino
- 2 Department of Environmental Science and Policy, Università degli Studi di Milano , Via Celoria 26, Milano 20133 , Italy
| | - David W Winkler
- 3 Department of Ecology and Evolutionary Biology, Cornell University , Corson Hall, Ithaca, NY 14853 , USA
| | - Renato Casagrandi
- 1 Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano , Via Giuseppe Ponzio, 34, Milano 20133 , Italy
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27
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Thorbjørnsen SH, Moland E, Simpfendorfer C, Heupel M, Knutsen H, Olsen EM. Potential of a no-take marine reserve to protect home ranges of anadromous brown trout ( Salmo trutta). Ecol Evol 2019; 9:417-426. [PMID: 30680124 PMCID: PMC6342106 DOI: 10.1002/ece3.4760] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 11/01/2018] [Accepted: 11/05/2018] [Indexed: 01/01/2023] Open
Abstract
The extent to which no-take marine reserves can benefit anadromous species requires examination. Here, we used acoustic telemetry to investigate the spatial behavior of anadromous brown trout (sea trout, Salmo trutta) in relation to a small marine reserve (~1.5 km2) located inside a fjord on the Norwegian Skagerrak coast. On average, sea trout spent 42.3 % (±5.0% SE) of their time in the fjord within the reserve, a proportion similar to the area of the reserve relative to that of the fjord. On average, sea trout tagged inside the reserve received the most protection, although the level of protection decreased marginally with increasing home range size. Furthermore, individuals tagged outside the reserve received more protection with increasing home range size, potentially opposing selection toward smaller home range sizes inflicted on fish residing within reserves, or through selective fishing methods like angling. Monthly sea trout home ranges in the marine environment were on average smaller than the reserve, with a mean of 0.430 (±0.0265 SE) km2. Hence, the reserve is large enough to protect the full home range of some individuals residing in the reserve. Synthesis and applications: In general, the reserve protects sea trout to a varying degree depending on their individual behavior. These findings highlight evolutionary implications of spatial protection and can guide managers in the design of marine reserves and networks that preserve variation in target species' home range size and movement behavior.
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Affiliation(s)
- Susanna Huneide Thorbjørnsen
- Center for Coastal Research, Department of Natural SciencesUniversity of AgderKristiansandNorway
- Institute of Marine ResearchFlødevigenNorway
| | - Even Moland
- Center for Coastal Research, Department of Natural SciencesUniversity of AgderKristiansandNorway
- Institute of Marine ResearchFlødevigenNorway
| | - Colin Simpfendorfer
- Centre for Sustainable Tropical Fisheries and Aquaculture & College of Science and EngineeringJames Cook UniversityTownsvilleQueenslandAustralia
| | - Michelle Heupel
- Australian Institute of Marine ScienceTownsvilleQueenslandAustralia
| | - Halvor Knutsen
- Center for Coastal Research, Department of Natural SciencesUniversity of AgderKristiansandNorway
- Institute of Marine ResearchFlødevigenNorway
| | - Esben Moland Olsen
- Center for Coastal Research, Department of Natural SciencesUniversity of AgderKristiansandNorway
- Institute of Marine ResearchFlødevigenNorway
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28
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Cerritelli G, Bianco G, Santini G, Broderick AC, Godley BJ, Hays GC, Luschi P, Åkesson S. Assessing reliance on vector navigation in the long-distance oceanic migrations of green sea turtles. Behav Ecol 2018. [DOI: 10.1093/beheco/ary166] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
| | | | - Giacomo Santini
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
| | | | - Brendan J Godley
- Centre for Ecology and Conservation, University of Exeter, Cornwall, UK
| | | | - Paolo Luschi
- Department of Biology, University of Pisa, Pisa, Italy
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29
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Esteban N, Unsworth RKF, Gourlay JBQ, Hays GC. The discovery of deep-water seagrass meadows in a pristine Indian Ocean wilderness revealed by tracking green turtles. MARINE POLLUTION BULLETIN 2018; 134:99-105. [PMID: 29573811 DOI: 10.1016/j.marpolbul.2018.03.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 01/30/2018] [Accepted: 03/12/2018] [Indexed: 06/08/2023]
Abstract
Our understanding of global seagrass ecosystems comes largely from regions characterized by human impacts with limited data from habitats defined as notionally pristine. Seagrass assessments also largely focus on shallow-water coastal habitats with comparatively few studies on offshore deep-water seagrasses. We satellite tracked green turtles (Chelonia mydas), which are known to forage on seagrasses, to a remote, pristine deep-water environment in the Western Indian Ocean, the Great Chagos Bank, which lies in the heart of one of the world's largest marine protected areas (MPAs). Subsequently we used in-situ SCUBA and baited video surveys to survey the day-time sites occupied by turtles and discovered extensive monospecific seagrass meadows of Thalassodendron ciliatum. At three sites that extended over 128 km, mean seagrass cover was 74% (mean range 67-88% across the 3 sites at depths to 29 m. The mean species richness of fish in seagrass meadows was 11 species per site (mean range 8-14 across the 3 sites). High fish abundance (e.g. Siganus sutor: mean MaxN.site-1 = 38.0, SD = 53.7, n = 5) and large predatory shark (Carcharhinus amblyrhynchos) (mean MaxN.site-1 = 1.5, SD = 0.4, n = 5) were recorded at all sites. Such observations of seagrass meadows with large top predators, are limited in the literature. Given that the Great Chagos Bank extends over approximately 12,500 km2 and many other large deep submerged banks exist across the world's oceans, our results suggest that deep-water seagrass may be far more abundant than previously suspected.
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Affiliation(s)
- N Esteban
- Swansea University, Seagrass Ecosystem Research Group, Department of Biosciences, Swansea SA2 8PP, UK.
| | - R K F Unsworth
- Swansea University, Seagrass Ecosystem Research Group, Department of Biosciences, Swansea SA2 8PP, UK
| | - J B Q Gourlay
- Swansea University, Seagrass Ecosystem Research Group, Department of Biosciences, Swansea SA2 8PP, UK
| | - G C Hays
- Deakin University, Centre for Integrative Ecology, Warrnambool campus, Victoria, Australia
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30
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Thomson JA, Whitman ER, Garcia-Rojas MI, Bellgrove A, Ekins M, Hays GC, Heithaus MR. Individual specialization in a migratory grazer reflects long-term diet selectivity on a foraging ground: implications for isotope-based tracking. Oecologia 2018; 188:429-439. [DOI: 10.1007/s00442-018-4218-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 06/30/2018] [Indexed: 01/26/2023]
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31
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Sherley RB, Botha P, Underhill LG, Ryan PG, van Zyl D, Cockcroft AC, Crawford RJM, Dyer BM, Cook TR. Defining ecologically relevant scales for spatial protection with long-term data on an endangered seabird and local prey availability. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2017; 31:1312-1321. [PMID: 28248436 DOI: 10.1111/cobi.12923] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 02/09/2017] [Accepted: 02/25/2017] [Indexed: 06/06/2023]
Abstract
Human activities are important drivers of marine ecosystem functioning. However, separating the synergistic effects of fishing and environmental variability on the prey base of nontarget predators is difficult, often because prey availability estimates on appropriate scales are lacking. Understanding how prey abundance at different spatial scales links to population change can help integrate the needs of nontarget predators into fisheries management by defining ecologically relevant areas for spatial protection. We investigated the local population response (number of breeders) of the Bank Cormorant (Phalacrocorax neglectus), a range-restricted endangered seabird, to the availability of its prey, the heavily fished west coast rock lobster (Jasus lalandii). Using Bayesian state-space modeled cormorant counts at 3 colonies, 22 years of fisheries-independent data on local lobster abundance, and generalized additive modeling, we determined the spatial scale pertinent to these relationships in areas with different lobster availability. Cormorant numbers responded positively to lobster availability in the regions with intermediate and high abundance but not where regime shifts and fishing pressure had depleted lobster stocks. The relationships were strongest when lobsters 20-30 km offshore of the colony were considered, a distance greater than the Bank Cormorant's foraging range when breeding, and may have been influenced by prey availability for nonbreeding birds, prey switching, or prey ecology. Our results highlight the importance of considering the scale of ecological relationships in marine spatial planning and suggest that designing spatial protection around focal species can benefit marine predators across their full life cycle. We propose the precautionary implementation of small-scale marine protected areas, followed by robust assessment and adaptive-management, to confirm population-level benefits for the cormorants, their prey, and the wider ecosystem, without negative impacts on local fisheries.
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Affiliation(s)
- Richard B Sherley
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, U.K
- Animal Demography Unit, Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
| | - Philna Botha
- Animal Demography Unit, Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701, South Africa
| | - Les G Underhill
- Animal Demography Unit, Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- Marine Research Institute, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
| | - Peter G Ryan
- FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701, South Africa
| | - Danie van Zyl
- Department of Agriculture, Forestry and Fisheries (DAFF), Private Bag X2, Rogge Bay, 8012, Cape Town, South Africa
| | - Andrew C Cockcroft
- Department of Agriculture, Forestry and Fisheries (DAFF), Private Bag X2, Rogge Bay, 8012, Cape Town, South Africa
| | - Robert J M Crawford
- Animal Demography Unit, Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- Department of Environmental Affairs (DEA), P.O. Box 52126, Cape Town, 8000, South Africa
| | - Bruce M Dyer
- Department of Environmental Affairs (DEA), P.O. Box 52126, Cape Town, 8000, South Africa
| | - Timothée R Cook
- FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701, South Africa
- Institute of Ecology and Environmental Sciences, Evolutionary Eco-physiology Team, University Pierre et Marie Curie, Bâtiment A-7ème étage, 7 quai, St Bernard, 75005, Paris, France
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32
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Robinson DP, Jabado RW, Rohner CA, Pierce SJ, Hyland KP, Baverstock WR. Satellite tagging of rehabilitated green sea turtles Chelonia mydas from the United Arab Emirates, including the longest tracked journey for the species. PLoS One 2017; 12:e0184286. [PMID: 28873453 PMCID: PMC5584959 DOI: 10.1371/journal.pone.0184286] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 08/20/2017] [Indexed: 11/21/2022] Open
Abstract
We collected movement data for eight rehabilitated and satellite-tagged green sea turtles Chelonia mydas released off the United Arab Emirates between 2005 and 2013. Rehabilitation periods ranged from 96 to 1353 days (mean = 437 ± 399 days). Seven of the eight tagged turtles survived after release; one turtle was killed by what is thought to be a post-release spear gun wound. The majority of turtles (63%) used shallow-water core habitats and established home ranges between Dubai and Abu Dhabi, the same area in which they had originally washed ashore prior to rescue. Four turtles made movements across international boundaries, highlighting that regional cooperation is necessary for the management of the species. One turtle swam from Fujairah to the Andaman Sea, a total distance of 8283 km, which is the longest published track of a green turtle. This study demonstrates that sea turtles can be successfully reintroduced into the wild after sustaining serious injury and undergoing prolonged periods of intense rehabilitation.
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Affiliation(s)
| | | | | | - Simon J. Pierce
- Marine Megafauna Foundation, Truckee, California, United States of America
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Reynolds SD, Norman BM, Beger M, Franklin CE, Dwyer RG. Movement, distribution and marine reserve use by an endangered migratory giant. DIVERS DISTRIB 2017. [DOI: 10.1111/ddi.12618] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Affiliation(s)
- Samantha D. Reynolds
- Franklin Eco-Laboratory; The School of Biological Sciences; The University of Queensland; St Lucia QLD Australia
- ECOCEAN Inc.; 102/72 Marine Terrace; Fremantle WA Australia
| | | | - Maria Beger
- ARC Centre of Excellence for Environmental Decisions; The School of Biological Sciences; The University of Queensland; St Lucia QLD Australia
- School of Biology; University of Leeds; Leeds UK
| | - Craig E. Franklin
- Franklin Eco-Laboratory; The School of Biological Sciences; The University of Queensland; St Lucia QLD Australia
| | - Ross G. Dwyer
- Franklin Eco-Laboratory; The School of Biological Sciences; The University of Queensland; St Lucia QLD Australia
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34
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Rees AF, Alfaro-Shigueto J, Barata PCR, Bjorndal KA, Bolten AB, Bourjea J, Broderick AC, Campbell LM, Cardona L, Carreras C, Casale P, Ceriani SA, Dutton PH, Eguchi T, Formia A, Fuentes MMPB, Fuller WJ, Girondot M, Godfrey MH, Hamann M, Hart KM, Hays GC, Hochscheid S, Kaska Y, Jensen MP, Mangel JC, Mortimer JA, Naro-Maciel E, Ng CKY, Nichols WJ, Phillott AD, Reina RD, Revuelta O, Schofield G, Seminoff JA, Shanker K, Tomás J, van de Merwe JP, Van Houtan KS, Vander Zanden HB, Wallace BP, Wedemeyer-Strombel KR, Work TM, Godley BJ. Are we working towards global research priorities for management and conservation of sea turtles? ENDANGER SPECIES RES 2016. [DOI: 10.3354/esr00801] [Citation(s) in RCA: 175] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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35
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Sousa LL, López-Castejón F, Gilabert J, Relvas P, Couto A, Queiroz N, Caldas R, Dias PS, Dias H, Faria M, Ferreira F, Ferreira AS, Fortuna J, Gomes RJ, Loureiro B, Martins R, Madureira L, Neiva J, Oliveira M, Pereira J, Pinto J, Py F, Queirós H, Silva D, Sujit PB, Zolich A, Johansen TA, de Sousa JB, Rajan K. Integrated Monitoring of Mola mola Behaviour in Space and Time. PLoS One 2016; 11:e0160404. [PMID: 27494028 PMCID: PMC4975458 DOI: 10.1371/journal.pone.0160404] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Accepted: 07/19/2016] [Indexed: 11/18/2022] Open
Abstract
Over the last decade, ocean sunfish movements have been monitored worldwide using various satellite tracking methods. This study reports the near-real time monitoring of fine-scale (< 10 m) behaviour of sunfish. The study was conducted in southern Portugal in May 2014 and involved satellite tags and underwater and surface robotic vehicles to measure both the movements and the contextual environment of the fish. A total of four individuals were tracked using custom-made GPS satellite tags providing geolocation estimates of fine-scale resolution. These accurate positions further informed sunfish areas of restricted search (ARS), which were directly correlated to steep thermal frontal zones. Simultaneously, and for two different occasions, an Autonomous Underwater Vehicle (AUV) video-recorded the path of the tracked fish and detected buoyant particles in the water column. Importantly, the densities of these particles were also directly correlated to steep thermal gradients. Thus, both sunfish foraging behaviour (ARS) and possibly prey densities, were found to be influenced by analogous environmental conditions. In addition, the dynamic structure of the water transited by the tracked individuals was described by a Lagrangian modelling approach. The model informed the distribution of zooplankton in the region, both horizontally and in the water column, and the resultant simulated densities positively correlated with sunfish ARS behaviour estimator (rs = 0.184, p<0.001). The model also revealed that tracked fish opportunistically displace with respect to subsurface current flow. Thus, we show how physical forcing and current structure provide a rationale for a predator’s fine-scale behaviour observed over a two weeks in May 2014.
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Affiliation(s)
- Lara L. Sousa
- CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth PL1 2PB, United Kingdom
| | - Francisco López-Castejón
- Department of Chemical & Environmental Engineering/Underwater Vehicles Laboratory, Universidad Politécnica de Cartagena (UPCT), Alfonso XIII, 52, E-30203, Cartagena, Spain
| | - Javier Gilabert
- Department of Chemical & Environmental Engineering/Underwater Vehicles Laboratory, Universidad Politécnica de Cartagena (UPCT), Alfonso XIII, 52, E-30203, Cartagena, Spain
| | - Paulo Relvas
- Centre for Marine Sciences (CCMAR), University of Algarve, 8005-139 Faro, Portugal
| | - Ana Couto
- CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Nuno Queiroz
- CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Renato Caldas
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Paulo Sousa Dias
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Hugo Dias
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Margarida Faria
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Filipe Ferreira
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - António Sérgio Ferreira
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - João Fortuna
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Ricardo Joel Gomes
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Bruno Loureiro
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Ricardo Martins
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Luis Madureira
- Oceanscan-MST, Avenida Liberdade, Polo Mar UPTEC, 4450-718 Matosinhos, Portugal
| | - Jorge Neiva
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Marina Oliveira
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - João Pereira
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - José Pinto
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Frederic Py
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Hugo Queirós
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Daniel Silva
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - P. B. Sujit
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
- IIIT Delhi, New Delhi, 110020, India
| | - Artur Zolich
- Center for Autonomous Marine Operations and Systems, Department of Engineering Cybernetics, Norwegian University of Science and Technology, Gløshaugen, Trondheim, Norway
| | - Tor Arne Johansen
- Center for Autonomous Marine Operations and Systems, Department of Engineering Cybernetics, Norwegian University of Science and Technology, Gløshaugen, Trondheim, Norway
| | - João Borges de Sousa
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
| | - Kanna Rajan
- Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
- Center for Autonomous Marine Operations and Systems, Department of Engineering Cybernetics, Norwegian University of Science and Technology, Gløshaugen, Trondheim, Norway
- * E-mail:
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Sherley RB, Winker H, Altwegg R, van der Lingen CD, Votier SC, Crawford RJM. Bottom-up effects of a no-take zone on endangered penguin demographics. Biol Lett 2016; 11:rsbl.2015.0237. [PMID: 26156127 DOI: 10.1098/rsbl.2015.0237] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Marine no-take zones can have positive impacts for target species and are increasingly important management tools. However, whether they indirectly benefit higher order predators remains unclear. The endangered African penguin (Spheniscus demersus) depends on commercially exploited forage fish. We examined how chick survival responded to an experimental 3-year fishery closure around Robben Island, South Africa, controlling for variation in prey biomass and fishery catches. Chick survival increased by 18% when the closure was initiated, which alone led to a predicted 27% higher population compared with continued fishing. However, the modelled population continued to decline, probably because of high adult mortality linked to poor prey availability over larger spatial scales. Our results illustrate that small no-take zones can have bottom-up benefits for highly mobile marine predators, but are only one component of holistic, ecosystem-based management regimes.
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37
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Becking LE, Christianen MJA, Nava MI, Miller N, Willis S, van Dam RP. Post-breeding migration routes of marine turtles from Bonaire and Klein Bonaire, Caribbean Netherlands. ENDANGER SPECIES RES 2016. [DOI: 10.3354/esr00733] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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38
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Evans MN, Guerrero-Sanchez S, Bakar MSA, Kille P, Goossens B. First known satellite collaring of a viverrid species: preliminary performance and implications of GPS tracking Malay civets (Viverra tangalunga). Ecol Res 2016. [DOI: 10.1007/s11284-016-1338-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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39
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Wilmé L, Waeber PO, Ganzhorn JU. Marine turtles used to assist Austronesian sailors reaching new islands. C R Biol 2016; 339:78-82. [PMID: 26857090 DOI: 10.1016/j.crvi.2015.12.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 11/30/2015] [Accepted: 12/03/2015] [Indexed: 11/24/2022]
Abstract
Austronesians colonized the islands of Rapa Nui, Hawaii, the Marquesas and Madagascar. All of these islands have been found to harbor Austronesian artifacts and also, all of them are known nesting sites for marine turtles. Turtles are well known for their transoceanic migrations, sometimes totalling thousands of miles, between feeding and nesting grounds. All marine turtles require land for nesting. Ancient Austronesians are known to have had outstanding navigation skills, which they used to adjust course directions. But these skills will have been insufficient to locate tiny, remote islands in the vast Indo-Pacific oceans. We postulate that the Austronesians must have had an understanding of the marine turtles' migration patterns and used this knowledge to locate remote and unknown islands. The depth and speed at which marine turtles migrate makes following them by outrigger canoes feasible. Humans have long capitalized on knowledge of animal behavior.
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Affiliation(s)
- Lucienne Wilmé
- University of Antananarivo, School of Agronomy, Water and Forest Department, BP 175, Antananarivo 101, Madagascar; Missouri Botanical Garden, Madagascar Research & Conservation Program, BP 3391, Antananarivo 101, Madagascar.
| | - Patrick O Waeber
- Forest Management and Development, Department of Environmental Sciences, Swiss Federal Institute of Technology Zurich, 8092 Zurich, Switzerland.
| | - Joerg U Ganzhorn
- Animal Ecology and Conservation, Hamburg University, 20146 Hamburg, Germany.
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40
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Lea JSE, Humphries NE, Clarke CR, Sims DW. To Madagascar and back: long-distance, return migration across open ocean by a pregnant female bull shark Carcharhinus leucas. JOURNAL OF FISH BIOLOGY 2015; 87:1313-1321. [PMID: 26511427 DOI: 10.1111/jfb.12805] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2015] [Accepted: 09/03/2015] [Indexed: 06/05/2023]
Abstract
A large, pregnant, female bull shark Carcharhinus leucas was tracked migrating from Seychelles across open ocean to south-east Madagascar, c. 2000 km away, and back again. In Madagascar, the shark spent a prolonged period shallower than 5 m, consistent with entering estuarine habitat to pup, and upon return to Seychelles the shark was slender and no longer gravid. This represents an unprecedented return migration across the open ocean for a C. leucas and highlights the need for international collaboration to manage the regional C. leucas population sustainably.
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Affiliation(s)
- J S E Lea
- Danah Divers, Marine Research Facility, P. O. Box 10646, Jeddah, 21443, Saudi Arabia
- Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth, PL1 2PB, U.K
- SOSF D'Arros Research Centre, c/o Chelonia Company Ltd, P. O. Box 195, Victoria, Mahe, Seychelles
- University of Plymouth, Drake Circus, Plymouth, Devon, PL4 8AA, U.K
| | - N E Humphries
- Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth, PL1 2PB, U.K
| | - C R Clarke
- Danah Divers, Marine Research Facility, P. O. Box 10646, Jeddah, 21443, Saudi Arabia
| | - D W Sims
- Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth, PL1 2PB, U.K
- Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Waterfront Campus, European Way, Southampton, SO14 3ZH, U.K
- Centre for Biological Sciences, Building 85, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, U.K
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41
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Population structure enhances perspectives on regional management of the western Indian Ocean green turtle. CONSERV GENET 2015. [DOI: 10.1007/s10592-015-0723-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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42
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Read TC, FitzSimmons NN, Wantiez L, Jensen MP, Keller F, Chateau O, Farman R, Werry J, MacKay KT, Petro G, Limpus CJ. Mixed stock analysis of a resident green turtle, Chelonia mydas, population in New Caledonia links rookeries in the South Pacific. WILDLIFE RESEARCH 2015. [DOI: 10.1071/wr15064] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Context
Migratory species are known to pose a challenge for conservation because it is essential to understand their complex life history in order to implement efficient conservation actions.
Aims
In New Caledonia, large seagrass habitats in the Grand Lagon Sud (GLS) are home to resident green turtles (Chelonia mydas) of unknown origins. To assess the stock composition in the GLS, 164 foraging turtles were sampled for genetic analysis of ~770 base pairs of the mitochondrial DNA (mtDNA) control region.
Methods
Foraging turtles ranging in size from 48.0 to 108.4 cm curved carapace length were captured at five different sites within the GLS between September 2012 and December 2013. To provide baseline data for mixed stock analysis, published data from rookeries were used in addition to 105 samples collected at rookeries in the d’Entrecasteaux Islands and Chesterfield Islands in New Caledonia and at Malekula Island in Vanuatu. Exact tests of population differentiation and pairwise FST estimates were used to test for differences in mtDNA haplotype frequencies.
Key results
These analyses indicated that rookeries in the d’Entrecasteaux Islands and Vanuatu form unique management units and that the Chesterfield Islands rookeries are linked to the Coral Sea management unit. Mixed stock analysis indicated the highest proportion (mean = 0.63) of foraging turtles originate from the d’Entrecasteaux stock.
Conclusions
The larger contribution is estimated to be from a large rookery from New Caledonia, but smaller contributions are suggested from other rookeries in the South Pacific.
Implications
Marine conservation policies in New Caledonia need to consider the links between the foraging and nesting populations of C. mydas in New Caledonia and other rookeries and foraging grounds in the Coral Sea.
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43
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Dujon AM, Lindstrom RT, Hays GC. The accuracy of Fastloc‐
GPS
locations and implications for animal tracking. Methods Ecol Evol 2014. [DOI: 10.1111/2041-210x.12286] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Antoine M. Dujon
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Warrnambool Vic. 3280 Australia
| | - R. Todd Lindstrom
- Wildlife Computers 8345 154th Avenue NE Redmond Washington 98052 USA
| | - Graeme C. Hays
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Warrnambool Vic. 3280 Australia
- Department of Biosciences Swansea University Singleton Park Swansea SA2 8PP UK
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