Regional-Scale Migrations and Habitat Use of Juvenile Lemon Sharks (Negaprion brevirostris) in the US South Atlantic
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{"title"=>"Regional-scale migrations and habitat use of juvenile lemon sharks (Negaprion brevirostris) in the US South Atlantic", "type"=>"journal", "authors"=>[{"first_name"=>"Eric A.", "last_name"=>"Reyier", "scopus_author_id"=>"16301948800"}, {"first_name"=>"Bryan R.", "last_name"=>"Franks", "scopus_author_id"=>"24171179500"}, {"first_name"=>"Demian D.", "last_name"=>"Chapman", "scopus_author_id"=>"7402278564"}, {"first_name"=>"Douglas M.", "last_name"=>"Scheidt", "scopus_author_id"=>"56005012100"}, {"first_name"=>"Eric D.", "last_name"=>"Stolen", "scopus_author_id"=>"6506692648"}, {"first_name"=>"Samuel H.", "last_name"=>"Gruber", "scopus_author_id"=>"7101800819"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24586329", "sgr"=>"84896279849", "doi"=>"10.1371/journal.pone.0088470", "scopus"=>"2-s2.0-84896279849", "pui"=>"372616955", "isbn"=>"1932-6203", "issn"=>"19326203"}, "id"=>"8604f507-b588-38bb-a8e4-d89404f07918", "abstract"=>"Resolving the geographic extent and timing of coastal shark migrations, as well as their environmental cues, is essential for refining shark management strategies in anticipation of increasing anthropogenic stressors to coastal ecosystems. We employed a regional-scale passive acoustic telemetry array encompassing 300 km of the east Florida coast to assess what factors influence site fidelity of juvenile lemon sharks (Negaprion brevirostris) to an exposed coastal nursery at Cape Canaveral, and to document the timing and rate of their seasonal migrations. Movements of 54 juvenile lemon sharks were monitored for three years with individuals tracked for up to 751 days. While most sharks demonstrated site fidelity to the Cape Canaveral region December through February under typical winter water temperatures, historically extreme declines in ocean temperature were accompanied by rapid and often temporary, southward displacements of up to 190 km along the Florida east coast. From late February through April each year, most sharks initiated a northward migration at speeds of up to 64 km day(-1) with several individuals then detected in compatible estuarine telemetry arrays in Georgia and South Carolina up to 472 km from release locations. Nineteen sharks returned for a second or even third consecutive winter, thus demonstrating strong seasonal philopatry to the Cape Canaveral region. The long distance movements and habitat associations of immature lemon sharks along the US southeast coast contrast sharply with the natal site fidelity observed in this species at other sites in the western Atlantic Ocean. These findings validate the existing multi-state management strategies now in place. Results also affirm the value of collaborative passive arrays for resolving seasonal movements and habitat preferences of migratory coastal shark species not easily studied with other tagging techniques.", "link"=>"http://www.mendeley.com/research/regionalscale-migrations-habitat-juvenile-lemon-sharks-negaprion-brevirostris-south-atlantic", "reader_count"=>59, "reader_count_by_academic_status"=>{"Researcher"=>11, "Student > Ph. D. Student"=>16, "Student > Postgraduate"=>2, "Other"=>3, "Student > Master"=>19, "Student > Bachelor"=>5, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Researcher"=>11, "Student > Ph. D. Student"=>16, "Student > Postgraduate"=>2, "Other"=>3, "Student > Master"=>19, "Student > Bachelor"=>5, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Environmental Science"=>12, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>41, "Computer Science"=>1, "Earth and Planetary Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>41}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Environmental Science"=>{"Environmental Science"=>12}}, "reader_count_by_country"=>{"Tanzania"=>1, "Mexico"=>1, "Jersey"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1398833", "https://ndownloader.figshare.com/files/1398834"], "description"=>"<div><p>Resolving the geographic extent and timing of coastal shark migrations, as well as their environmental cues, is essential for refining shark management strategies in anticipation of increasing anthropogenic stressors to coastal ecosystems. We employed a regional-scale passive acoustic telemetry array encompassing 300 km of the east Florida coast to assess what factors influence site fidelity of juvenile lemon sharks (<i>Negaprion brevirostris</i>) to an exposed coastal nursery at Cape Canaveral, and to document the timing and rate of their seasonal migrations. Movements of 54 juvenile lemon sharks were monitored for three years with individuals tracked for up to 751 days. While most sharks demonstrated site fidelity to the Cape Canaveral region December through February under typical winter water temperatures, historically extreme declines in ocean temperature were accompanied by rapid and often temporary, southward displacements of up to 190 km along the Florida east coast. From late February through April each year, most sharks initiated a northward migration at speeds of up to 64 km day<sup>−1</sup> with several individuals then detected in compatible estuarine telemetry arrays in Georgia and South Carolina up to 472 km from release locations. Nineteen sharks returned for a second or even third consecutive winter, thus demonstrating strong seasonal philopatry to the Cape Canaveral region. The long distance movements and habitat associations of immature lemon sharks along the US southeast coast contrast sharply with the natal site fidelity observed in this species at other sites in the western Atlantic Ocean. These findings validate the existing multi-state management strategies now in place. Results also affirm the value of collaborative passive arrays for resolving seasonal movements and habitat preferences of migratory coastal shark species not easily studied with other tagging techniques.</p></div>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "regional-scale", "migrations", "juvenile", "sharks", "atlantic"], "article_id"=>944845, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0088470.s001", "https://dx.doi.org/10.1371/journal.pone.0088470.s002"], "stats"=>{"downloads"=>7, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Regional_Scale_Migrations_and_Habitat_Use_of_Juvenile_Lemon_Sharks_Negaprion_brevirostris_in_the_US_South_Atlantic/944845", "title"=>"Regional-Scale Migrations and Habitat Use of Juvenile Lemon Sharks (<i>Negaprion brevirostris</i>) in the US South Atlantic", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398832"], "description"=>"<p>Instances where sharks made forays to/past Ponce Inlet but quickly returned to Canaveral (n = 2) are excluded. *Burial of two receivers in fall 2011 limited the ability to detect south-migrating lemon sharks passing by this area.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "sharks", "ponce", "de", "leon", "inlet"], "article_id"=>944844, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.t004", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Date_and_water_temperature_176_C_associated_with_lemon_sharks_passing_by_Ponce_de_Leon_Inlet_during_annual_migrations_/944844", "title"=>"Date and water temperature (°C) associated with lemon sharks passing by Ponce de Leon Inlet during annual migrations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398829"], "description"=>"<p>Parameter estimates for the best supported state dependence lemon shark residency model. Parameter estimates are also provided for time series modeling for which to compare to state-dependence approach.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "estimates", "supported", "dependence", "residency", "parameter", "modeling", "state-dependence"], "article_id"=>944841, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.t003", "stats"=>{"downloads"=>6, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Parameter_estimates_for_the_best_supported_state_dependence_lemon_shark_residency_model_Parameter_estimates_are_also_provided_for_time_series_modeling_for_which_to_compare_to_state_dependence_approach_/944841", "title"=>"Parameter estimates for the best supported state dependence lemon shark residency model. Parameter estimates are also provided for time series modeling for which to compare to state-dependence approach.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398827"], "description"=>"<p>. Nearshore receivers were located 250 m from the beach while offshore receivers were 1250 m from the beach.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "detections"], "article_id"=>944839, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.g004", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_lemon_shark_detections_by_receiver_row_and_by_hour_of_day_/944839", "title"=>"Distribution of lemon shark detections by receiver row and by hour of day", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398828"], "description"=>"<p>Water temperature was derived from daily means recorded December 2008 through December 2011.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "cape", "canaveral"], "article_id"=>944840, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.g005", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_available_water_temperature_at_Cape_Canaveral_and_associated_percentage_of_lemon_shark_detections_/944840", "title"=>"Distribution of available water temperature at Cape Canaveral and associated percentage of lemon shark detections.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398826"], "description"=>"<p>To use the nomogram, locate the desired level of each variable and follow the position vertically up to the Points Scale. Repeat this for all variables and add up the points, then find that value on the Total Points Scale. Finally follow that position directly down to the Fitted Probability Scale which gives the predicted probability of daily detection.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "depicting", "sizes", "supported", "residency"], "article_id"=>944838, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.g003", "stats"=>{"downloads"=>8, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Nomogram_depicting_effect_sizes_for_the_best_supported_lemon_shark_residency_model_/944838", "title"=>"Nomogram depicting effect sizes for the best supported lemon shark residency model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398831"], "description"=>"<p>Days at liberty equals the number of days between release and last detection. Maximum displacement means the farthest known detection north and south of release point.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "54", "sharks", "tagged", "cape"], "article_id"=>944843, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.t001", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_information_for_all_54_lemon_sharks_tagged_at_Cape_Canaveral_/944843", "title"=>"Summary information for all 54 lemon sharks tagged at Cape Canaveral.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398830"], "description"=>"<p>All models include state dependence variables (e.g., 1 day lag) to account for any effects of serial autocorrelation, and a random effect for shark and the month by Year. <sup>1</sup>minimum AIC<sub>c</sub>  = 4117.04.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "supported", "72", "relating", "covariates", "detection", "probability", "sharks", "cape"], "article_id"=>944842, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ten_best_supported_models_from_the_72_a_priori_models_relating_environmental_and_individual_covariates_to_daily_detection_probability_DDP_of_lemon_sharks_at_Cape_Canaveral_/944842", "title"=>"Ten best supported models from the 72 <i>a priori</i> models relating environmental and individual covariates to daily detection probability (DDP) of lemon sharks at Cape Canaveral.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398825"], "description"=>"<p>A) Acoustic detections of all 54 lemon sharks through time, and B) associated nearshore water temperature at Cape Canaveral.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology"], "article_id"=>944837, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.g002", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Lemon_shark_migrations_/944837", "title"=>"Lemon shark migrations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-26 03:03:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1398824"], "description"=>"<p><b>A)</b> Overall study region including locations of all lemon shark acoustic detections (green circles) and historic angler recaptures (red circles) from sharks released at Cape Canaveral. B) Map of the full FACT Array including all passive acoustic receivers (yellow dots). C) Close-up of the Canaveral Array including locations of two important lemon shark aggregation sites. Nearshore receivers are numbered 1–3 which correspond to the year of the study they were deployed.</p>", "links"=>[], "tags"=>["ecology", "Ecological environments", "Aquatic environments", "Marine environments", "Behavioral ecology", "biogeography", "Coastal ecology", "Conservation science", "Marine ecology", "Marine biology", "Fisheries science", "Marine conservation", "Marine monitoring", "Marine technology", "Zoology", "Animal behavior", "Ichthyology", "acoustic", "tracking", "sharks", "atlantic"], "article_id"=>944836, "categories"=>["Biological Sciences"], "users"=>["Eric A. Reyier", "Bryan R. Franks", "Demian D. Chapman", "Douglas M. Scheidt", "Eric D. Stolen", "Samuel H. Gruber"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088470.g001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Passive_acoustic_tracking_of_lemon_sharks_in_the_US_South_Atlantic_region_/944836", "title"=>"Passive acoustic tracking of lemon sharks in the US South Atlantic region.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-26 03:03:53"}

PMC Usage Stats | Further Information

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Relative Metric

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