Isla Mujeres, Mexico is home to one of the most well-known aggregations of sailfish. Despite its fisheries prominence, little is known about this sailfish assemblage, or its relationship to other aggregation sites in the western Atlantic. In January 2012, April 2013 and 2014, we deployed 34 popup satellite archival tags on sailfish in order to study their behavior, population connectivity and biophysical interactions. Sailfish were monitored for up to one year, and displayed (1) predominantly shelf associated activity (2) occupancy of the Yucatán Current near Isla Mujeres for up to five months and (3) subsequent dispersals from the Yucatán to productive coastal areas in the Gulf of Mexico, the Caribbean Sea and along the South American coast. Tagged sailfish occupied a median temperature of 26.4°C (interquartile range, IQR = 2.5 °C; range = 12.3–33.3 °C) and median depth of 4.4 m (IQR = 19 m; range = 0–452 m). Diel activity was present and individuals made distinctive descents before sunrise and sunset. Tracking missions of sufficient duration (~1 year) revealed previously undetected connectivity between western Atlantic sailfish fisheries and pelagic longline catches, and highlighted how fishery independent tagging can improve understanding of sailfish migrations and behavior for assessment and management.
Sailfish (Istiophorus platypterus), an epipelagic billfish, are prized by recreational fishermen1,2,3,4, and provide major nutritional, economic and cultural benefits for artisanal fishing communities5,6,7,8. Both eastern and western stocks are considered likely overfished, with biomass below, and fishing mortality above, maximum sustainable yield9, although uncertainties are recognized in the stock assessment conducted by the International Commission for the Conservation of Atlantic Tunas (ICCAT)10. There are no ICCAT harvest controls for sailfish, but countries such as the United States and Venezuela have domestic regulations that prohibit sale11, designate gear modifications12,13 and/or stipulate area closures14,15. Mandatory live release from circle hooks has also been proposed to reduce bycatch mortality16, but is shown to be insufficient to rebuild the western stock17. To improve sailfish population status, basic understanding of movements, behavior and the extent of dispersal are needed to determine stock structure18, identify reproductive strategies and estimate productivity10.
Conventional and electronic tagging characterize movements of Atlantic sailfish as more restrictive than other billfishes, and localized to coastal areas19,20,21,22,23. However, the short deployments (median duration = 11; maximum duration = 145 days) for which electronic tags have remained on sailfish to date have limited our understanding of broad-scale spatiotemporal information on their dispersal and behavior. No trans-Atlantic movement has been documented by any tagged fish, which provides little support to the evidence of genetic homogeneity in sailfish across the Atlantic24,25.
Despite reproduction being a key driver for migration26, major gaps in its characteristics for sailfish are contributing to stock assessment uncertainties. Sexual maturity (L50) is reached at 135–180 cm lower jaw fork length (LJFL), depending on location27,28,29, and multiple spawning episodes may occur over a long (>6 months) reproductive season27,30. Reproductively active sailfish are highly transient, and spawn in multiple sites and at different times throughout the western Atlantic31 as documented by larval collections off the South Atlantic Bight32, Southeast Florida33, Bahamas34,35, Straits of Florida32,36, and northern Gulf of Mexico37,38,39. Eggs were collected off Belize40, while spawning condition fish were found off southeastern Brazil from October to March41,42 and along the northern coast of South America year-round27. Surprisingly, movements of sailfish connecting these various spawning areas are still not characterized.
The seas off Yucatán Peninsula, Mexico are a highly productive43 aggregation area for seabirds, sharks, billfishes, marine mammals and their prey species, where local upwelling44,45 provides favorable foraging conditions for the diverse marine assemblage. In particular, the island of Isla Mujeres is recognized as one of the world’s top “hotspots” for recreational fishing for billfishes. While peak availability of sailfish for recreational fishing occurs from January through late April, little is known about (1) the extent of their residency in the area, (2) their subsequent migrations in summer and fall, and (3) their relationships to the pelagic longline fishery, operating on distant high seas. To shed light on these issues, we present the first long-term (up to one year) records of dispersal, depth, temperature and oceanographic associations of sailfish collected via electronic tags over three field seasons off Isla Mujeres, Mexico.
Of the 34 popup satellite archival tags or PSATs deployed, seven (21%) failed to report, and seventeen (50%) were shed prematurely and transmitted data (Table 1). X-Tag reporting rates for the three release years are: 75% (n = 8), 63% (n = 11) and 90% (n = 10). Of the nine reported at term, one MiniPAT reported at four months, three X-Tags at six months, and five X-Tags at a full year, one of which was carried by the smallest tagged sailfish (137 cm LJFL) in this study. These represent the longest deployments of PSATs on sailfish to date. One MiniPAT and three X-Tags reported a popoff position but did not transmit or return additional data. The cause for transmission failure is unknown, except for Tag 2012–20562. This tag popped off on schedule after one year, reported its first positions off Cozumel, and was subsequently washed ashore, likely with its antenna pointing sideways or buried, ending transmission. Tag 2013–20560 was recovered off the fish before the programmed release date by our crew while fishing in the tagging area, and Tag 2012–20557 by colleagues off Cape Eleuthera, Bahamas shortly after the tag detached as scheduled. Non-reporting Tag 2012–20565 was returned after a landlord found it in a vacated apartment in central Louisiana. Reporting Tag 2012–20027 was located with Google Earth™ on land near a private marina in Tuxpan, Mexico, presumably recaptured on the sailfish, but could not be recovered.
Tagged fish remained at liberty from 1 to 365 days (mean ± SD or = 174 ± 137, n = 28). Sensor data documented evidence of predation (e.g., complete darkness at daytime) for three sailfish: one just one day post-release and two after >1 month post-release. Predation-associated impacts did not damage the tag or antenna, and thus made the data available for deducing the plausible fate of the tagged individuals.
Tagged sailfish dispersed over a wide geographical range between 3–30°N and 45–97°W, connecting productive coastal areas throughout the Gulf of Mexico (GOM), the Caribbean Sea, and along the South American coast (Fig. 1 & Fig. S1). Four sailfish returned to the Yucatán area, within 60 km of where they were tagged after >300 days at liberty and having traveled as far as 1548 km (straight-line distance) away from the tagging location (Table 1). After release, sailfish remained on the continental shelf off Cancún or on the Campeche Bank (Fig. 1a) between 4 and 147 days ( = 57 ± 40, n = 18; Table 1). Sailfish then dispersed south to Belize (Fig. 1b) and to Costa Rica (Fig. 1c). Others moved west in the Bay of Campeche towards the East Mexico Shelf (Fig. 1b,d and e) and western GOM (Fig. 1f,g). They also headed north along the Loop Current into the Mexico Basin, reaching the Mississippi-Alabama Shelf (Fig. 1h) and West Florida Shelf (Fig. 1h–j), and through the Straits of Florida. From the Bahamas, sailfish moved either north to the Blake Plateau (Fig. 1i), or south into the Caribbean Sea, and as far as the NE Brazilian coast (Fig. 1j). On return journeys to the Yucatán Peninsula, sailfish spent time near Jamaica and Cuba (Fig. 1f,j and k), as well as locations in GOM (Fig. 1c,f,g and i). Traveling between coastal destinations, sailfish movements in offshore, pelagic waters were rapid and directed.
Utilization hotspots, defined by ≤50% utilization distribution, were found at multiple sites in the Gulf of Mexico (Fig. 2). Sailfish occupied the Yucatán hotspot throughout the year. January and April are peak months for sailfish fishing off the Yucatán Peninsula, and fish tagged in January and February were available in April either because they remained in the area (Fig. 1d and i) or returned from elsewhere (Fig. 1b and c). Two sailfish tagged in April returned the following January (Fig. 1a and f), while others did not (Fig. 1j and k). Reduced usage of the Campache Bank from July to October (Fig. 3a) significantly correlated with a drop in net primary productivity (Pearson two-sided test = 0.59, p = 0.05), but not with changes in sea surface temperature (SST) (p = 0.4) or chlorophyll-a (p = 0.5).
Between April and June, hotspots also appeared off Veracruz, Mexico, and off Northwest Florida (Fig. 2). Further into the presumed peak spawning months of July and August, sailfish utilized a broader area on the East Mexico Shelf, West Florida Shelf and Straits of Florida, the last of which is a known spawning ground. Utilization of continental shelf hotspots was highest three to four months after peak primary production in the spring (Fig. 3b and c). From October to December, sailfish were located in the Mexico Basin (central GOM), and in the West Atlantic (Fig. 2). Despite use of Mexico Basin peaking in October, elevated use of this hotspot also occurred three months after the spring bloom (Fig. 3d).
Tagged sailfish occupied predominantly the uppermost portion of the water column (median = 4.4 m, IQR = 19 m). Depth distribution rarely exceeded 100 m (Fig. 4), although maximum depth recorded was 452 m (Table 1). Significant diel differences in depth distribution were exhibited by all sailfish (Fig. 4a), except for two that remained in the Isla Mujeres area during January and April (two-sample Kolmogorov–Smirnov test; Tag 2013–20555, p = 0.08; Tag 2013–20561, p > 0.17). Mean depth during the daytime was 18+18 m and 8+12 m during the nighttime. Overall, sailfish stayed above 10 and 50 m 59% and 97% of the time, respectively (Fig. 4b). Only 5% of temperatures were <24°C, with minimum and median temperatures of 12.3 and 26.4 °C, respectively. Tag-derived SSTs were 22.4–33.9 °C, while 72% fell within 25–29 °C (Fig. 4b).
Results from generalized additive mixed modeling identified location and SST as the primary predictors of maximum depth (adjusted R2 = 0.43). Month, mixed layer depth, sea surface height deviation and net primary productivity were not found to be significant. Maximum depth of sailfish was between 40 and 80 m in the Gulf of Mexico, and 120 m outside of GOM in the West Atlantic (Fig. 5). Deeper maximum depths occurred off Louisiana, along the Antilles chain, and in areas with SST between 27–31 °C (Fig. 5b). This latitudinal deepening of maximum depth from north to south mirrors depths at which sailfish were caught on longline by the US46 and Brazilian47,48 fleets that operated within their respective hemispheres (Fig. 5c).
Sailfish spent 26–100% ( = 81 ± 19%) of their day in the mixed layer, which varied between 7–83 m across locations (Fig. 6). Around the Yucatán Peninsula, sailfish stayed predominantly in the mixed layer during winter and early spring (Fig. 6a and b). As sailfish moved away from the Yucatán, time spent in the mixed layer decreased and varied between 40–80% (Fig. 6b–d). Diel differences in swimming depth were evident, including punctuated descents and ascents during sunrise and sunset (Fig. 7). During the day, sailfish hovered around the base of the mixed layer (Fig. 7a,b,e and h), near the surface (Fig. 7c and f), or deeper than the mixed layer (Fig. 7d and g). Repeated surface excursions were common, especially on the continental shelf during June (e.g., Fig. 7d and g) and July. At night, sailfish remained near the surface, occasionally descending deeper (Fig. 7c) or staying below the mixed layer for greater than an hour (Fig. 7e). Lunar illumination did not correlate with changes in swimming behavior.
This study provides yearlong, fisheries independent information on behavior, horizontal and vertical habitat use of sailfish released from an aggregation site in the Northwest Atlantic. We achieved a high proportion (41%, n = 9) of PSATs remaining attached and reporting after the full year mission. This result surpassed the highest yearlong tag retention rate (<35% from great white sharks, Carcharodon carcharias) in a meta-analysis of tag performance49. Tagged sailfish moved primarily north to south, and frequented productive coastal areas. They mainly occupied the surface layer above 30 m, and displayed diel depth patterns, with deeper daytime depths, but rarely deeper than 100 m.
Isla Mujeres, Mexico is clearly a prominent mixing and foraging ground for Atlantic sailfish. Over one year, sailfish dispersed from the Yucatán to multiple, distant regions, presumably to spawn and forage, before returning to the Yucatán coast the following year, some with striking proximity to their release location. Such navigation ability is similar to that of bluefin tuna (Thunnus thynnus)50 and swordfish (Xiphias gladius)51. Onset of migration did not appear to be related to SST (Fig. 6), contrary to an earlier hypothesis that migratory movements were driven by water temperature52. This study released tagged fish in the Yucatán area at different times of year, over multiple years. Sailfish dispersal was primarily westward in the release year of 2012, northwest and northeastward in 2013, and omnidirectional in 2014. If tags had not remained attached on fish through late winter, we would not have identified fish that traveled to the South American coast before returning to the Gulf of Mexico. Given the diversity in sailfish movement patterns observed across sampling years, it is inadequate to rely upon a small number of tracks to monitor potential shifts in billfish habitat following a major environmental disaster, such as the Deep Horizon oil spill53. Since billfishes likely spawn at multiple sites throughout the Atlantic31,54,55, the loss of a particular spawning site may have limited impacts on the populations. Having appropriate baseline information on pelagic animal movements is important for robust vulnerability and impact evaluations56.
Eddy frontal zones are a favorable environment for sailfish spawning and larval development36,38. While PSAT tags alone do not have the capabilities to “observe” and confirm the biological act of spawning, based on the spatiotemporal presence of tagged sailfish (Fig. 2), the East Mexico Shelf is a potential spawning habitat in western GOM, as suggested by the historic presence of “ripe” females57. Persistent eddy features (lasting >28 days) are common in this area, especially off Veracruz, Mexico58, and sailfish larval abundance increased with Sargassum biomass at eddy features in northern GOM37,38.
Combined analysis from satellite and conventional tagging
PSAT-derived movement patterns can be used to interpret conventional tag data59, which sailfish have the second-most tag releases and recaptures after Atlantic bluefin tuna21,22. Seasonal utilization distribution derived from PSATs (Figs 2 and 8) is consistent with conventional tag recaptures of fish at liberty between two and eighteen months (Fig. 8 and Figure S3). Both conventional and PSAT data confirmed that sailfish visited multiple hotspots in the Gulf of Mexico and off Florida within six months’ time. Some sailfish were furthest away from Isla Mujeres or South Florida during January to March, when located, for example, off the South America coast (Fig. 1j), or in the central North Atlantic (Fig. S3).
By analyzing only conventional tag returns, Orbesen, et al.21 concluded that sailfish are closely associated with coastal regions and have limited dispersals in comparison with blue and white marlin. Among their recaptures, 68% of sailfish were off the Florida East Coast (FEC), where abundance peaked during late fall and early spring, coinciding with a high tag-and-release effort. In comparison, our results confirmed connectivity between the Yucatán Peninsula and FEC (Fig. 1h–j). Moreover, sailfish visited other coastal areas before (e.g., northern GOM) and after (e.g., South America) FEC, all within the same year. Sailfish cyclic, annual migrations from Isla Mujeres integrate different productive areas of the Northwest Atlantic. Individuals can travel as far north as the Sambro Bank, off Nova Scotia (Fig. S3; conventional tag HHM052728, released off Isla Mujeres, 520 days at liberty) as part of their annual migration. At the southern extent, our study observed sailfish movements linking Isla Mujeres and the northeastern coast of Brazil, a journey that took at least three months. Connection to the southeastern coast of Brazil remains undocumented, as PSATs from an earlier study all detached within 51 days post-release41.
Consistent with earlier studies, PSAT-tagged sailfish did not exhibit trans-Atlantic movement. Nonetheless, cyclic migrations demonstrated that sailfish of various sizes are capable of traveling long distances that can result in the Atlantic-wide catch distribution of the longline fishery (Fig. 8). Pockets of high CPUE found offshore along 35°W would require sailfish sourced elsewhere, most likely from coastal hotspots. Mixing of the two managed stocks probably occurs in the South Central Atlantic60, but elucidating the mixing mechanisms and rates will require a sufficient bounty of year-long tracks to be obtained offshore, not just from coastal areas such as off Isla Mujeres or Florida.
The epipelagic layer, particularly 0–20 m, was heavily utilized by Atlantic sailfish tagged in this and other studies19,20,61. Prince, et al.23 compared the proportion of time sailfish spent at 0–50 m between the eastern and western Atlantic (97% vs 81%), and attributed the difference to a shallow oxycline in the East that compresses the vertical habitat of pelagic fishes. In this study, tagged sailfish remained in the well-oxygenated West Atlantic, but occupied 0–50 m for 97% of time (Fig. 4), similar to tagged eastern fish23. Sailfish also exhibited a broad range of vertical behavior in different areas of the West Atlantic (Figs 5, 6 and 7). Such geographical differences likely reflect varying prey type and availability, biophysical conditions, and life history. Our latest data do not invalidate dissolved oxygen as a key physiological constraint62, but rather they illustrate the difficulty in explaining regional differences in vertical habitat use with an environmental variable. To rigorously evaluate habitat associations and assess physiological limits, the sample size for long-term electronic tags must be large enough to provide adequate geographic coverage, and opportunities to observe the diversity of animal behaviors.
Descents to depths around or below the mixed layer (Fig. 7) are likely related to foraging on spawning herring (Sardinella aurita) and cigar minnows (Decapterus punctatus), which we repeatedly observed during tagging operations. Tagged sailfish undertook more excursions during the day, consistent with Hoolihan, et al.61, and also with most sailfish (13 out of 14) being caught during daylight on longline targeting swordfish in the Gulf of Mexico63. Twilight may represent an opportune time for foraging64, as sailfish often descended just before sunrise/ sunset and resurfaced shortly afterward (e.g., Fig. 7e), a behavior also displayed by giant bluefin tuna and other predators in coastal areas65.
The sensory and thermal biology of sailfish are important in consideration of fisheries impacts. Sailfish are highly visual predators66, but appear capable of foraging in low light. Sailfish were active in nighttime (e.g., Fig. 7c) through all moon phases, similar to fish tracked off Florida19, However, under low light, sailfish appear more catchable by drift gillnets, as the artisanal fishery off La Guaira, Venezuela only operates during the new moon67.
Sailfish can briefly withstand low temperature (min. 11.1 °C), and deep depth (max. 560 m), where it is dark20. This diversity in vertical behavior is reflected in the broad spectrum of prey items identified in stomach content analyses, which include fish, cephalopod and crustaceans28,47,68. Off northeastern Brazil, sailfish prey heavily on Atlantic pomfret (Brama brama), flying gurnard (Dactylopterus volitans) and snake mackerel (Gempylus serpens), along with 17 other identified fish taxa47. Although not evident from the depth distribution of Atlantic sailfish (Fig. 4), black swallowers (Kali parri), a mesopelagic species69, was also found in their diet47. Like Atlantic tunas70, sailfish prey on cephalopods while offshore, and are not confined to productive coastal areas, as shown by longline catch distribution (Fig. 8). PSAT tagging and sampling of sailfish in pelagic regions would provide additional insights into their trophic ecology.
Our electronic tagging results have provided a baseline and more complete understanding of habitat utilization of sailfish in the western Atlantic. Combined electronic and conventional tagging data demonstrated seasonal sailfish migration connecting multiple coastal areas with open ocean transits. Pelagic transits in other parts of the Atlantic could be important in connecting sailfish hotspots across the ocean basin. Understanding these movements will help address uncertainties in mixing and stock structure in assessment, and ultimately, broader spatiotemporal information may improve management of Atlantic sailfish.
Materials and Methods
Thirty-four PSATs (30 X-Tag; Microwave Telemetry, Inc. and 4 MiniPAT; Wildlife Computers Inc.) were deployed on adult sailfish (mean ± SD = 162 ± 11 cm LJFL) between 2012 and 2014 by rod and reel aboard F/V Chachalaca and F/V Lily off Isla Mujeres, Mexico. Upon capture, an individual that was undamaged, assessed to be in good condition, and large enough for tagging (i.e., >35 kg), was brought on board and placed on a wet, padded vinyl mat. A wet soft cloth was immediately placed over its eyes to reduce stress and a seawater hose was inserted in its mouth to irrigate the gills. Tag tethers and anchors were constructed according to materials and methods we developed for bluefin tuna tagging71,72, with darts implanted in the musculature at the anterior dorsal region. LJFL was measured to the nearest centimeter and a fin clip was taken and archived for genetic analysis. Fish were immediately released and, in many cases, underwater footage of tagged fish was obtained to document post release behavior. Tag and release was carried out in accordance with relevant guidelines and regulations. The experimental protocol (#2013–0041) was approved by University of Massachusetts Institutional Animal Care and Use Committee.
PSATs were programmed to record relative light level, external temperature and pressure (depth) for 4 to 6 months (per funders’ request) in the first year of study, and 12 months in subsequent years. Physically recovered X-Tags contained the full resolution time series at 2-minute resolution; otherwise data were sub-sampled by manufacturer routines for transmission through the Argos satellites. Transmitted formats included estimated sunrise and sunset times, daily minimum and maximum depths and temperatures, and depth and temperature records available at the 15-minute marks (:00,15,30,45) of the hour. MiniPATs sampled every 60 seconds, and were configured to transmit time series data at 5 and 7.5-minute resolution, light levels at times of sunset and sunset, daily summaries of depth and temperature, and time-at-temperature and depth histograms in 6-hour blocks. Temperature bins were 8, 12, 14, 16, 18, 20, 22, 26, 26, 28, 30 & >30 °C, and depth bins were 0, 2, 10, 20, 50, 75, 100, 125, 150, 200, 300 & >300 m. All tags had a constant depth failsafe release set at 3 (MiniPAT) or 4 (X-Tag) days, which would indicate post-release mortality or tag shedding. Returned data were imported into, and managed through Tagbase73.
For X-Tags, positions generated by manufacturer software were refined using a state-space Kalman filter model with SST matching, Ukfsst74 with NOAA Optimum Interpolation SST V2 (www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html). For MiniPATs, a state-space Kalman filter model, TrackIt was used to estimate positions based on transmitted light data and SST75,76. To further refine positions that fell on land, bathymetric correction was applied50. Since there were gaps in transmitted data, refined tracks were ‘regularized’ to a daily resolution using the R package ‘crawl’77. This final step used positional error estimates from the state-space models as a priori variance. From the final tracks and their associated error, utilization distributions (UDs) were generated monthly and quarterly78. We defined the area inside a 50% UD contour as a utilization hotspot, and simply referred to as “hotspot”.
For sailfish that were >30 days at liberty, we defined residency in the Yucatán Peninsula area as the duration of time before an individual moved off the continental shelf, or west of 90°W.
Tag-recorded water column data
We defined depth and temperature records as day or night, based on local sunset and sunrise times calculated from estimated positions using the ‘sunriset’ function in the R79 (v2.15.2) package ‘maptools’ (v0.8–23; cran.r-project.org/web/packages/maptools). Data were summarized daily, and differences between SST and ambient temperatures (mean, minimum) recorded by the fishes’ tags were also calculated. Means () are reported plus or minus standard deviation (SD) unless otherwise indicated.
To model sailfish habitat, we obtained VIIRS SST (triple-window algorithm) and chlorophyll-a (OCI algorithm) data from NASA OceanColor Web (oceancolor.gsfc.nasa.gov), mixed layer depth from NCEP Global Ocean Data Assimilation System through NOAA ERDDAP (upwell.pfeg.noaa.gov/erddap/griddap/noaa_pmel_2e50_792a_c159.html), net primary productivity (Vertically Generalized Production model) data from Oregon State University Ocean Productivity (www.science.oregonstate.edu/ocean.productivity), and sea surface height (SSH) data from the HYbrid Coordinate Ocean Model (HYCOM) of Center for Ocean-Atmospheric Prediction Studies (hycom.org/dataserver/glb-reanalysis). Bathymetric values were obtained from Smith & Sandwell Topography (0.0167° resolution, version 11.1). Along each track point, environmental data were extracted for the neighborhood bounded by the 95% confidence region around a position estimate to generate a mean value. This was performed to account for differing spatial resolution of environmental datasets.
To estimate the mean position of the Loop Current and its associated eddy features, SSH data were averaged monthly, quarterly and annually from 2012 to 2014. Loop Current features were tracked using the 0.17-m contour80.
Lunar illumination (aa.usno.navy.mil/data/docs/MoonFraction.php), uncorrected for cloud cover, was tested for correlation with daily mean and maximum depth during nighttime.
Generalized additive mixed model (GAMM)
We used GAMMs to predict maximum depth of sailfish. Since observations were repeated measures collected from the same individuals, we modeled individual fish as a random effect. We incorporated the following explanatory variables as fixed effects: location, month, SST, mixed layer depth, sea surface height deviation and net primary productivity. We accounted for spatial patterns by explicitly modeling location as a fixed effect.
Models were constructed with the R package, mgcv (v1.7–22) using the Gaussian family with an identity-link function81. Other than month, explanatory variables were modeled as continuous variables and smoothed. Smoothing functions were chosen automatically and evaluated manually using the ‘gam.check’ function. We adopted the “top-down” model selection strategy82 by starting with a “beyond optimal” model, and subsequently dropping explanatory variables to arrive at the final model. The starting model is formulated as follows:
Where Ri is the matrix of vertical activity for Fishi, and i = 1, …, number of individual fish n;
S is a smoothing function for location;
Locationi is the matrix of longitude and latitude for Fishi;
Monthi is the matrix of month of observation for Fishi;
f1 … fj are smoothing functions for environmental variable j, and j = 1, …, number of different environmental variables;
X1 … Xj are matrices of environmental variable j for Fishi;
bi~ N(0, D) and ε ~ N(0, σ2) where D and σ2 are variances, and b1, … bn, ε are independent.
We selected the final model by minimizing both the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) scores. Candidate predictors that were statistically significant at the 0.05 level were retained during the selection process. Finally, we evaluated the models by checking diagnostic plots on fitted data and residuals (Fig. S4).
To evaluate movements from fish tagged in coastal areas in relation to the pelagic realm, as indicated by longline fishery catches in the North Atlantic, we obtained conventional tag and fisheries data (Task II catch/effort; version Nov 2015) from ICCAT (www.iccat.int/en/accesingdb.htm). We extracted longline (LL) data available at two spatial resolutions, 5° × 5° and 1° × 1° for the years 2000–2013 to calculate an average catch-per-unit effort (CPUE; weight of fish in kilograms per 1000 hooks) at each grid square. Changes in distribution of quarterly CPUE were checked against 95% and 50% UD contours.
The ICCAT conventional tag database contains sailfish release and recapture records only to 2011, so we incorporated records from the Billfish Foundation tag and release database (www.tagbillfish.org) for the later years. In addition, release and reporting positions from an earlier PSAT study36 were included as conventional tags. To map seasonal movements, we only included trajectories from tags recovered after 2 to 18 months at liberty.
How to cite this article: Lam, C. H. et al. Sailfish migrations connect productive coastal areas in the West Atlantic Ocean. Sci. Rep. 6, 38163; doi: 10.1038/srep38163 (2016).
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We are grateful to the Guy Harvey Ocean Foundation, Virgin Unite, and Sir Richard Branson for support of this research. Captain Anthony Mendillo, Keen M International Sportfishing, directed fishing operations. We thank our tagging crew, Eric Jacquard, Ruben Peña, Jon Brooks, Glenn Cramer, Jody McCloud, Manuel “Gallo” Celis, Lily Mendillo and Charles Blaney. Charter vessel and crew time were graciously donated by Lawrence Berry for Berry, Inc. Dr. Mahmood Shivji, Nova University and Guy Harvey Research Institute and Dr. Brad Weatherbee, University of Rhode Island facilitated this project. Dr. Guy Harvey and George Schellinger were instrumental in field support and underwater videography. Many thanks to Dr. Edd Brooks and the Cape Eleuthera Island School, George Purmont for their tag recovery efforts.
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