TUNA MIGRATIONS GULF OF MEXICO - JORGE BRENNER AND VALERIE MCNULTY - WEBFLOW
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PHOTO © KEVIN ARNOLD Contents ACKNOWLEDGEMENTS This report is a part of the Migratory Species Conservation Project. For more information, visit migratoryblueways.org and maps.bluewaysconservation.org. This project was made possible due to the generous financial support of an anonymous private donor, as well as The Nature Conservancy’s Global Oceans Team and Texas Chapter. The au- thors would like to thank the guidance provided by this project’s Scientific Steering Committee: Dr. Billy Causey of the Nation- Introduction 2 al Marine Protected Areas Center of the National Oceanic and Atmospheric Administration, Dr. Félix Moncada of the National Fisheries Research Center of Cuba, Dr. Frank Muller-Karger of the University of South Florida, Dr. Rodolfo Claro formerly with the Institute of Oceanology in Cuba, Dr. Ruth Perry of Shell, Dr. William Kiene formerly with the Office of National Marine Sanc- Mapping Tuna Migrations 6 tuaries of the National Oceanic and Atmospheric Administra- tion, and Dr. John ‘Wes’ Tunnell of the Harte Research Institute for Gulf of Mexico Studies at Texas A&M University-Corpus Christi (1945-2018). The authors would like to especially ac- knowledge the contributions of the scientists and institutions Key Findings and Limitations 18 that supported this project by providing datasets, comments, and reviews essential to the development of these analyses and this report (for a full list of contributors, visit migratoryblue- ways.org). Special thanks to Dr. Rich Bell, Dr. Robert Bendick, Randy Blankinship, Dr. William Driggers, Linda Elkin, Dr. Ben- jamin Galuardi, Dr. Walter Ingram, Dr. César Meiners, Dr. Todd The Way Forward 22 Phillips, Karina Ramírez, Dr. Steve Schill, Dr. Pedro Ulloa, and Lily Verdone. Illustrations and design by Valerie McNulty. Suggested citation for this report: Brenner, J. and V. McNulty. 2018. Gulf of Mexico Tuna Migrations. The Nature Conservancy, Arlington, 24 pp. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 1
Introduction Figure 1. Gulf of Mexico study area and commercial tuna fishing areas for the United States, Mexico, and Cuba. Commercial fisheries in the U.S. mainly target yellowfin tuna, so its adult Essential Fish Habitat (NOAA) is used as an approximate U.S. tuna fishing area here (Levesque 2011). Tuna The Gulf of Mexico large marine ecosystem (hereafter the Gulf) Fishing Areas is a biodiverse and productive international sea, booming with activity such as offshore energy development, shipping, commer- cial and recreational fishing, and tourism. Due to its geographic Project location between North America and the Caribbean Sea, it is Study Area also filled with a wealth of migratory fish, sea turtles, marine mammals, and birds that seasonally take advantage of its vast resources, habitats, and weather. However, issues arise when human activity blocks their migrations and prevents them from completing their life cycles. Migratory tunas make up 20% of the value of marine capture fisheries and over 8% of globally traded seafood (United Nations 2017). Tuna fisheries are a highly valuable resource in the Gulf for coastal economies, food security, jobs, recreation, tourism, and culture. Tuna fishing areas in the Gulf are shown in Figure 1. Eight migratory tuna species in the Atlantic have been selected This report introduces The Nature Conservancy’s toolkit for tuna as critical species for inclusion in this Gulf assessment: albacore fisheries managers and policymakers in the Gulf. The toolkit tuna, bigeye tuna, blackfin tuna, bluefin tuna, bonito, little tunny, includes spatial biophysical data layers, seasonal conservation skipjack tuna, and yellowfin tuna. planning scenarios, an interactive online mapping tool, and a fishing regulations summary. The toolkit consolidates import- Atlantic tunas are highly migratory species. In the Atlantic Ocean ant national and international information on tuna distributions, they move hundreds to thousands of kilometers connecting pop- movements, larvae distributions, threats to migration, critical ulations, habitats, and economies from the northeastern U.S. areas, and existing management and conservation actions. to Europe and west Africa. Therefore, they need to be managed domestically and internationally (NOAA Fisheries 2006). Mexico While compiling this data, the Conservancy was also able to iden- and the U.S. are contracting parties to the International Commis- tify data gaps. More fisheries data was available for United States sion for the Conservation of Atlantic Tunas (ICCAT), which man- waters than Mexico, Cuba, or international waters. Information ages tuna internationally in the Atlantic. Managers in different on migratory pathways was non-existent, and migratory tim- jurisdictions and industries have varying priorities when consid- ing information was sparse and had to be inferred from multiple ering how to manage activities and various natural resources in sources (again mostly only available in the U.S.). More data was the Gulf. Many variables affect management decisions, such as available for some species than others, due to their economic seasonal species distributions, migratory pathways and timing, value or conservation status. ongoing conservation actions, threats, habitat and ecology, use and trade, and fishing activities and regulations. However, it can These gaps and limitations are more completely described at be difficult to assess the complex interactions among these vari- the end of this report, but it is important to note when using this ables when data is limited and often not synthesized into salient toolkit that there is room for improvement and expansion as data formats or available in one location. becomes available. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 2 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 3
*A majority of the species information on this page comes from the Interna- Use and Conservation tional Union for Conservation of Nature (IUCN) Red List of Threatened Species. Threats Trade Actions EX EW CR EN VU LC NT Albacore tuna Bonito Blackfin tuna Bigeye tuna Near Threatened Least Concern Least Concern Sarda sarda Vulnerable Thunnus alalunga Thunnus atlanticus Thunnus obesus Primarily sold as a Food fish, especially important in Important sport fishery in Flor- canned white meat tuna. An important fishery, pri- ida and the Bahamas. the Mediterranean and Black seas. marily sold for sashimi. Commercial and recre- Commercial and recreational Commercial and recreational fishing. Commerical and recre- fishing; bycatch of Yellowfin ational fishing; bycatch Mexico has landed the highest tonnage of ational fishing, bycatch of tuna fisheries. Cuba has ceased of swordfish fisheries. this species; it represents the second most the Skipjack and Yellowfin reporting landings data for this captured tuna in Cuba. tuna fishery. species. It has a total allowable catch (TAC) of 29,900 It has a total allowable catch A total catch of No specific measures in tons for the south Atlan- (TAC) of 29,900 tons for the 85,000 tons has place. tic stock.* south Atlantic stock.* been recommended in the Atlantic. Bluefin tuna Little tunny Yellowfin tuna Skipjack tuna Endangered Least Concern Near Threatened Euthynnus alletteratus Least Concern Thunnus thynnus Thunnus albacares Katsuwonus pelamis Highly sought-after deli- An important food and Important commercial cacy for sushi and sashimi economic resources for Primarily sold as canned tuna. species for the raw sashimi in Asia (WWF, 2018). coastal communities. market (WWF, 2018). Constitutes 60% of commercial Commercial and recre- The main species targeted by Overfishing. tuna catch globally; difficult to ational fishing; unreported commercial fisheries in the U.S. assess the impacts of fishing on Taking Bluefin tuna in the Gulf is or underreporting catches and the only tuna commercial- populations due to high and vari- prohibited yearround. ICCAT rec- to ICCAT. ly fished in Mexico. able productivity. ommends long-term larval studies No management recom- in the Gulf to assess the impact of No specific regulations ICCAT has recommended con- mendations have been made the Deepwater Horizon Oil Spill. in the Atlantic. servation actions for juveniles. because of lack of data. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 4 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 5
Mapping Tuna Migrations Migratory Pathways and Connectivity Scope Bluefin Tuna Migratory Corridor Publicly available spatial data for tunas in the Gulf includes observations, tag-recapture, movement, and larvae dispersal data. A vast majority of the satellite telemetry data available for tunas follows blue- fin tuna. A kernel density analysis in ESRI ArcGIS (Geographic Information Sys- Observation data, or occurrence points, comes from a variety of sources. Re- tem) was used to generate a movement density map from 25 individual tuna search institutions and management organizations like NOAA periodically sur- tracklines in the Gulf that span over 9 years (April 2002 - July 2011). This map vey marine life aboard research vessels. Citizen science can provide valuable (Figure 2) represents the migratory corridor of bluefin tuna in the Gulf of Mex- observation information when recorded systematically. Fisheries catch data ico. The areas of high movement density constitute critical areas for threat can also be used as observation data. Observation data reveals how species abatement to allow endangered bluefin tunas to complete their life cycle. For distribute across regions. example, the area between the Florida Keys and Cuba in the Florida Straight represents the seasonal pathway of reproductive adults in to the Gulf. Telemetry data is generated by placing electronic tags on animals. Some tags transmit location information to satellites or antennas whenever the tag Figure 2. Bluefin tuna migratory corridor. This corridor is surfaces. Some connect (‘ping’) with underwater acoustic receivers while displayed at 99% density. animals travel along their migratory routes. As these tags are still more ex- pensive than observation/tag-recapture methods, they are typically used for Movement Density protected species such as sea turtles. Not much telemetry data is available High for fish. For tuna species, the exception is bluefin tuna, which has been iden- tified by the IUCN as endangered and constitutes the most expensive fishery in North America. Telemetry data uncovers migratory corridors as it shows animal movement along pathways rather than only presence. Tag-recapture data is generated when an animal is tagged using a convention- al tag (usually made of plastic or metal) when fished recreationally (primarily) and recaptured at another time and potentially different location. This tech- Low nique is a more economical alternative to electronic methods. Tag-recapture data shows migratory connectivity, or which areas are connected by animals through the different habitats that they use during their lives. Fish larvae data is collected through systematic field surveys. It is available at the sampling station level and can be scaled to give a picture of average larval abundance seasonally and throughout the Gulf. This information is important for conservation of populations as reproductive grounds are especially vulner- able to systemic threats (but also devastating oil spill incidents). Combining these data types from several resources, the Conservancy has gen- erated species distributions and identified critical areas for tuna conservation Data Sources: Hopkins Marine Station, Stanford University via NOAA’s Animal Telemetry Network (ATN); NOAA’s Environmental Response Management Appli- to guide fisheries policy and management strategies. These areas have been cation (ERMA). identified per species, per season, and overall from best available spatial data in the entire Gulf region. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 6 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 7
Seasonal Distributions Figure 4. Yellowfin tuna seasonal distributions. The distributions are displayed at 99% density. Density maps of tuna observations were generated from occur- rence points collected from scientific organizations and publicly available databases. The yellowfin tuna density map is shown in Figure 3. A convex hull tool was used to first create a spatial range for each species overall and for each species in each season to serve as modeling boundary (XTools Pro). A kernel density analysis was then used to create seasonal distributions for each species. The search radius parameter (Href) in the kernel density analysis for each species was calculated using the Home Range Tools Arc- GIS extension (Rodgers et al. 2015). Figure 3. Yellowfin tuna observation-based distribution in the Gulf vs. the International Union for Conservation of Nature (IUCN) Red List global distribution (Collette et al. 2011). The distribution is displayed at 99% density. Density High Density Low High Observations were split by season to create seasonal density Low maps. The seasonal yellowfin tuna density maps are shown in Figure 4. These maps show the spatial variability of seasonal distributions and hotspots. These distributions for yellowfin tuna IUCN (Figures 3-4) complement their previously known global distribu- Distribution tion (IUCN, Figure 3). The new distribution areas in the southern Gulf and off the mouth of the Mississippi River delta confirm that coastal habitats are also important to this species. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 8 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 9
Migratory Connectivity Larvae Analyses Figure 6. SEAMAP station data for bonito, bigeye tuna, and yellowfin Marine animals have been historically tagged with plastic or metal tags (not electron- The Southeast Area Monitoring and Assess- tuna. Publicly available larvae data ic) by resource managers and researchers looking to answer questions about their ment Program (SEAMAP) of the Gulf States for these species is sparse in the movement patterns to enhance their management and conservation. When a tagged Marine Fisheries Commission has been col- Gulf. fish is found by another fisherman or researcher, the original person or organization lecting icthyoplankton data through annual that tagged the fish is notified via the identification number and contact information on surveys in the Gulf of Mexico since 1982. the tag. Though the information provided by tag-recapture is not as detailed as that of Icthyoplankton are the eggs and larvae of fish. electronic tags, this affordable animal tracking method still provides information about This data has been collected for seven of the species migratory connectivity, survival, and habitat use. eight tuna species of interest in this report, but some species are better represented in Tracklines in Figure 5 connect tag and recapture locations for specific tuna individuals. the samples than others (due to a variety of These tracklines not only show the directions, times, and distances travelled by specific technical issues including natural environ- tuna animals over time, but the diversity of habitats that they might have used to mi- mental variability and the challenge of small grate through the Atlantic Ocean. fish larvae identification). Figure 6 shows how sparse larvae data is for bonito, bigeye tuna, Figure 5. Tuna species tag-recapture path lines. and yellowfin tuna. Data is absent for albacore tuna. Figure 7 shows tuna larvae distributions Tuna Species 2.24 Bigeye tuna years in the Gulf for bluefin tuna, little tunny, black- Bonito Yellowfin fin tuna, and skipjack tuna using SEAMAP Yellowfin tuna 1.26 station data from 1982 to 2012. Little Tunny yea rs Figure 7. Tuna larvae heat map from 1982-2012 SEAMAP station data. Bluefin Density ears Bigeye 1.61 y High Blackfin 2.23 year s Protected Areas 1.78 y ears 1.42 years Low 3.52 years ears 3.73 y Tag-recapture data exposes tuna migratory connectivity by showing the habitats con- nected by seasonal tuna migrations and by different tuna species. Figure 5 shows that several bluefin tuna travelled from the Gulf of Mexico to northern Europe, while a few also travelled to South America. Multiple yellowfin tuna traveled towards western Af- rica, where they spawn during the winter. Migratory connectivity is important for con- servation because these species need to be able to reach different habitats to carry out various ecological processes that are critical for their survival and for ecosystem health. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 10 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 11
Marxan Conservation Planning Software Conservation Portfolio Marxan is a conservation planning software that optimizes a set of conservation features or targets (e.g., migratory corridors) with costs (e.g., human threats to migration) under vary- Critical Areas for Tuna Species ing scenarios to output critical areas for management (Ball et al. 2009). Each feature can be given a specific conservation goal, and boundaries can be used to ensure that these goals Density estimates were reclassified in ArcGIS so that any movement density greater are met within specific sub-regions in the study area. The Conservancy used Marxan in the than 1% was reclassified to species presence. This transformed the movement density Gulf to produce results relevant to tuna fisheries management. map into a 99% observation presence and absence data layer. The results below in Figure 8 were created using the tuna observation density layers de- Each of the eight species layers were then stacked. The resulting seasonal layers show scribed in the previous section as conservation features, and 100 km2 hexagons spanning the an estimation of how many of the studied tuna species (from 0 to 8) are distributed entire Gulf as planning units. A Marxan scenario was created for each season: Spring, Sum- throughout the Gulf. mer, Fall, Winter. Conservation targets were scaled based on each species’ IUCN Red List Status: Near Threatened (NT) as 20%; Vulnerable (VU) as 30%, Endangered (EN) as 40%, These layers provide a visual representation of tuna diversity throughout the Gulf. and Critically Endangered (CR) as 50%. See pages 4-5 for each tuna species’ IUCN status Since they have been generated from observation points rather than telemetry move- (IUCN 2018). ments, they do not constitute migratory corridors. However, since tracking data is rare or unavailable for most of these species, these maps provide a strong representation Seasonal threat layers were generated by aggregating averaged seasonal AIS data from of tuna seasonal distributions. Global Fishing Watch for 2012 to 2017 (Global Fishing Watch 2018) with relevant cumulative human impacts layers for 2013 from Halpern et al. (2015). Human impacts layers include Dark blue areas in Figure 8 should be considered critical habitat for tunas. These areas factors such as shipping lanes, pollution, offshore energy activity, invasive species, and fish- are further refined using Marxan conservation planning software (results outlined in eries activities. Existing protected areas were not locked into any Marxan scenario. The three red) to consider threats and conservation goals, described in the next section. EEZs – U.S., Mexico, Cuba – in the Gulf of Mexico were extrapolated manually in ArcMap to divide the two International regions equally between the three EEZs. This extended EEZ layer It is also important to note that there is some bias in the data, since more data is avail- was used as modeling strata in the Marxan analysis so that goals set for each conservation able in the United States Exclusive Economic Zone (EEZ) than in Mexico or Cuba. This target would have to be met within each country’s jurisdiction. can be seen with the darker blue areas concentrated in the U.S. EEZ. The seasonal Marxan analyses were run with and without EEZs as strata; both results were then aggregated into the final priority areas shown in Figures 8 a-d. This gives information Number of 1 2 3 4 5 6 7 8 Marxan-identified Tuna Species on not only the most critical areas in the Gulf overall, but also the most critical areas within priority areas for conservation Present each country’s EEZ in our final results, reducing errors from geographic bias of data. Multiple scenarios were created with varying inputs to identify these most relevant outputs to sup- Figure 8. Seasonal Marxan scenarios and important areas for eight tuna port fisheries management. The Conservancy has the capability of analyzing new scenarios species in the Gulf of Mexico. Left to right: Spring, Summer, Fall, Winter. if differing priorities are identified by stakeholders. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 12 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 13
Decision Support Tools Tuna Fisheries App The regulation and distribution information is location specific and can be displayed at four different scales: EEZs, a generic 20-km by 20-km grid layer, The ‘Tuna Fisheries’ app is hosted within the Conservancy’s online Blueways existing managed and protected areas, and offshore energy planning units for Conservation Decision Support Tool (maps.bluewaysconservation.org). This the U.S. and Mexico. This multi-scale functionality was created by intersecting tool allows scientists, resource managers, and decision-makers to systemat- these multiple boundaries with individual IUCN species distributions with the ically and transparently identify critical areas for migratory tuna, assess how goal of presenting information in a format relevant to managers across sec- effective existing management areas are for tunas, or to manage fishing effort. tors. The app contains spatial information and species facts about tuna distribu- Additional layers that can be toggled on per species include aggregated tions based on the IUCN Red List species’ data. It also contains condensed monthly observation points and essential fish habitats. These layers can be location-specific fishing regulation information with links to full data sources used to guide user selection of areas that meet their specific management for more information. Finally, monthly information on migration, spawning, interests or to create maps that support decision-making. and foraging has been compiled based on best available data. Figure 10. The Tuna Fisheries app shows the bluefin tuna distribution in the Gulf within a 20-km by 20-km grid. The user has selected a block shown Figure 9. The Tuna Fisheries app hosted within the Blueways Conservation in yellow, giving location-specific regulations information on the left. The Decision Support Tool displays the number of tuna species within existing IUCN species fact sheet shows that bluefin tuna especially need protection managed and protected areas based on IUCN species distributions. This in the Gulf of Mexico as spawning adults. Above, the chart shows that tuna tool can be found at maps.bluewaysconservation.org. spawn from April through June. THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 14 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 15
Figure 11. Gulf of Mexico tuna fishing regulations summary. United Texas Louisiana Mississippi Alabama Florida US Federal & International Waters States Species Bag Min Season Bag Min Season Bag Min Season Bag Min Season Bag Limit Min Season Bag Min Season Limit Length Limit Length Limit Length Limit Length Length Limit Length Albacore none none year- none none year- none none year- none none year- none none year- none none year-round Tuna round round round round round Bigeye Tuna none none year- none 27” year- none 27”CFL year- none 27” year- none 27” year- none 27” CFL year-round round CFL** round round CFL round CFL round Blackfin Tuna none none year- none none year- none none year- none none year- greater of none year- none none year-round round round round round 2 fish or round 100lb/day Bluefin Tuna* none 1/ 73” none none none 1/vessel/ 73” none 1/ 73” CFL year-round vessel/ CFL year* CFL vessel/ year* year* Bonito none none year- none none year- none none year- none none year- greater of none year- none none year-round round round round round 2 fish or round 100lb/day Little Tunny none none year- none none year- none none year- none none year- greater of none year- none none year-round round round round round 2 fish or round 100lb/day Skipjack none none year- none none year- none none year- year- none none year- none none year-round Tuna round round round round round Yellowfin none none year- 3/per- 27”CFL year- 3/per- 27”CFL year- none 27” CFL year- none none year- 3/per- 27” CFL year-round Tuna round son/ round son/ round round round son/day day day See data sources on page 25 for a full list of references. *Targeting bluefin tuna in the Gulf of Mexico is prohibited year-round. Highly Migratory Species Angling or Charter/Headboat Mexico permit holders may retain one “trophy” bluefin tuna (greater than 73” CFL) per vessel per year from the Gulf of Mexico if it is Sportfishing in Mexico requires a sportfishing license which can be obtained at: www.sport- caught incidentally while targeting other species, provided the Gulf of Mexico “trophy” category subquota is still available at the time of harvest. More information about is available at: www.hmspermits.noaa.gov. **[CFL = curved fork length]. fishinginmexico.com/licences/ In ocean waters and estuaries, the limit is a total of 10 fish per person per day with no more Fishing Regulations Table than 5 catches of a single species. There are some exceptions to this rule: • Only 1 specimen of billfish, shark, or giant seabass (Stereolepis gigas) is allowed per day Fishing regulations for the Gulf are difficult to navigate, especially those recreational. This is and counts as 5 towards the overall 10 fish limit. due to regulatory differences between the five states in the U.S., within the three countries • Only 2 specimens of Dorado, Roosterfish, Shad, Tarpon, Gulf Grouper (Mycyteroperca in the Gulf, and in the two international zones. jordani), or Bluefin Tuna (Thunnus orientals) are allowed per day and count as 5 toward the overall 10 fish limit. The fishing regulations summary in Figure 11 compiles regulations for all three countries and • The capture limit for squid is 5 samples per fisherman per day. international waters based on best available information. The U.S. regulations were collected by state and standardized into a relevant format (Texas Parks and Wildlife 2017, Louisiana Wildlife and Fisheries 2017, Outdoor Alabama 2017, Florida Fish and Wildlife Conservation Cuba Commission 2017, NMFS Atlantic Tunas Program 2015). Information for Mexico, and espe- Sport fishing in Cuba requires a permit or fishing license for any method of fishing. Permits cially Cuba, however, is more difficult to condense into a single format (Secretaría de Agri- can be obtained by presenting a passport. cultura, Ganadería, Desarrollo Rural, Pesca y Alimentación 2017, TripCuba.org 2017). THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 16 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 17
Key Findings The seasonal Marxan analyses in Figure 13 have identified crit- ical areas for migratory tunas in the Gulf of Mexico. While less than 2% of these areas are protected, effective management and Limitations is more relevant for these commercially valuable species than protection. Current fisheries management is insufficient; options such as seasonal limitations to fishing use should be explored alongside stakeholders to address these gaps. The Conservancy has created as close to a map of tuna migra- Figure 13. Marxan seasonal results and Gulf of Mexico protected tory “blueways” as possible given the publicly available data at areas. this time. Figure 12 shows the number of tuna species (out of the 8 in this study) present throughout the Gulf based on obser- Spring vational density maps. This map can serve as a guide for tuna fisheries management in conjunction with the seasonal Marxan Summer results (Figure 8). However, the data bias between countries can be clearly seen in this blueways map. There are more spe- Fall cies shown to be present in the U.S. EEZ than in Mexico or Cuba, likely due to increased survey effort rather than higher species Winter presence. Figure 12. Tuna species distributions based on observational data. Protected Number Areas of Tuna Species 1 2 3 4 5 6 7 In the seasonal Marxan scenarios presented in this report, bluefin tuna is given the most weight with a goal of 50% con- 8 servation of its distribution. This is because each species was Exclusive weighted based on its IUCN conservation status, and bluefin is Economic the only tuna species in this analysis classified as endangered Zones (EEZ) (IUCN 2018). In 2014, NOAA identified two regions in the Gulf as critical for improving management of bluefin tuna under Critical areas for tunas vary greatly between seasons, as evi- Amendment 7 to the 2006 Consolidated Highly Migratory Spe- denced by the Marxan results in Figure 13. Seasonality is im- cies Fishery Management Plan (NMFS, NOAA 2014). In these portant to consider in management decisions. Tuna species areas, measures were enacted to prevent overfishing and re- spawn, migrate, and forage seasonally, and fishing effort varies build stocks, minimize bycatch, reduce dead discards, and im- throughout the year. Managing these activities compatibly re- prove the scope and quality of catch data (NMFS, NOAA 2014). quires spatial and temporal optimization. These Marxan results The seasonal Marxan results support that NOAA’s bluefin tuna provide a guide for fisheries managers aiming to balance eco- management areas are critical for tunas throughout all seasons nomic productivity with population survival rates. (Figure 14). THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 18 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 19
Figure 14. NOAA bluefin tuna management areas (Amendment Figure 15. Tuna species observational distributions vs. the 7 to the 2006 Consolidated Highly Migratory Species Fishery International Union for Conservation of Nature Red List distributions Management Plan) over seasonal Marxan results. (IUCN 2018). Spring Density Summer High Fall IUCN Winter Distribution Low NOAA Bluefin Tuna Management Zones Discrepancies in available scientific information for deci- sion-making have also been identified that could have moni- toring and conservation implications for important commercial tuna species. There are some substantial differences between the International Union for Conservation of Nature Red List available species distributions and the observation density dis- Figure 16. Tuna species migratory timing. tribution maps created in this project (IUCN 2018). Particularly, Figure 15 shows substantial underestimations in the IUCN layers Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec where there appear to be dense observations for bluefin tuna, Albacore tuna bonito, and yellowfin tuna. Bluefin tuna Bonito Detailed migratory timing information was difficult to compile Bigeye tuna for these species. A chart of available information is shown in Figure 16, as available in the “Tuna Fisheries” app in the Con- Blackfin tuna servancy’s Blueways Conservation Decision Support Tool. This Little tunny information will need to be refined over time as more research and synthesis become available. Skipjack tuna Yellowfin tuna In foraging areas Spawning Migration period THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 20 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 21
The Way Forward Reduce mortality of bluefin tuna by enforcing a firm limit on in- cidental catch for the surface long-line fleet, including the im- provement of monitoring of the surface long-line fleet to ensure compliance with annual limit (ICAAT 2010a). Support the transition of poorly selective long-line to more se- Managing highly migratory tunas in the Gulf is a complex, multi-fac- lective fishing gear, such as green-stick, to harvest bigeye, alba- eted task. Fisheries managers are constantly challenged to sustain- core, yellowfin, and skipjack tunas (NMFS; 50 CFR § 635.2). ably balance the economic productivity of the fishery, recreational fishery needs, and other ocean uses with the critical goal of species Continue monitoring yellowfin tuna fishing effort and bycatch survival. levels with observer programs in Mexico (DOF 2015). This report is intended to guide managers in these complex tasks, but much more information is needed to achieve this balance. Ad- Develop a complete stock assessment for yellowfin tuna to iden- ditional enhancements in tuna research, fisheries management, and tify biological points of reference and sustainable management policy are needed to improve decision-making around tuna fisher- practices in Mexico (DOF 2015, Ramirez-Lopez 2017). ies and so to strengthen resilience and sustainability. Building from existing science and management plans, the Conservancy suggests Invest in data reconciliation and data synthesis to significantly the following enhancements: improve the knowledge of total catch, catch composition, effort, and spatial distribution of the major fisheries in the Gulf region Expand research on the influence of pelagic habitat on other (ICAAT 2010b). species beyond bluefin tuna and yellowfin tuna (Teo et al. 2007, Teo and Block 2010, Incardona et al. 2014) and evaluate the Create a shared vision across the international scientific and importance of different habitat types for managed populations management community that will support range-wide assess- (NMFS 2013, 2018). ments of shared stocks in the Gulf of Mexico, including the development of collaborative monitoring and assessment strat- Conduct histological studies of gonads and larvae distribution to egies for data-poor situations (NMFS 2012). assess bluefin tuna spawning areas in Mexico (Abad-Uribarren et al. 2014) and Cuba (Muhling et. al 2010). Develop collaborations towards sustainable fisheries manage- Improve the understanding of factors affecting recruitment ment between resource managers, scientists, and fishing com- success and long-term sustainability of the fisheries across their munity to improve the data upon which management decisions full range by expanding large-scale conventional, electronic, and are made and integrate socio-economic aspects of the fishing genetic tagging experiments to estimate the movement, abun- industry into the management process. dance, and mortality of the eastern or western stocks (ICAAT 2010a), including not only bluefin, but other tuna species rele- vant to fisheries in the Gulf. Moving forward, The Nature Conservancy will strive to update this information and provide it to fisheries managers through interac- tive tools such as the Blueways Conservation Decision Support Tool. Strengthen the science needed to implement ecosystem-based Feedback from managers is vital for improving these platforms. fisheries management of tuna (NMFS 2018) that balances en- vironmental, economic, and social objectives (Marshall et al. 2018). Implement ecosystem-level planning to replace existing single-stock assessments with a systematic approach to fisher- ies management that contributes to the resilience and sustain- ability of the ecosystem (NMFS 2013). THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 22 THE NATURE CONSERVANCY | GULF OF MEXICO GULF OF MEXICO TUNA MIGRATIONS 23
Satellite Tracking Data: Block, Barbara. Hopkins Marine Station, Stanford University. ATN IOOS. 2017. Web Application: Animal Telemetry Network, Integrated References Ocean Observing System, National Oceanic and Atmospheric Administration (NOAA). Retrieved: April 20, 2017, from http://oceanview. pfeg.noaa.gov/ATN/ Environmental Response Management Application (ERMA). Web application. Gulf of Mexico. NRDA Workgroup Data. National Oceanic and Atmospheric Administration, 2014. Web. 13 Apr. 2017. http://response.restoration.noaa.gov/erma. Observation Data: Abad-Uribarren, A. 2010. Distribución y preferencias oceanográficas del atún aleta azul Thunnus thynnus (Linnaeus, 1758) en el Golfo de México. Tesis de Maestría en Ecología y Pesquerías. Universidad Veracruzana. Veracruz, 93 pp. Abad-Uribarren, A., C. Meiners, K. Ramirez-Lopez, and S. Ortega-Garcia. 2014. Dinámica temporal de la captura incidental de CONABIO. 2017. Geoportal del Sistema Nacional de Información sobre Biodiversidad. Comisión Nacional para el Conocimiento y Uso de la atún aleta azul (thunnus thynnus) y su relación con la variabilidad ambiental en aguas Mexicanas del Golfo de México. Col. Vol. Biodiversidad (CONABIO). México, D.F. Sci. Pap. ICCAT, 70 (2): 684-698. Environmental Response Management Application (ERMA). Web application. Gulf of Mexico. NRDA Workgroup Data. National Oceanic Brenner, J., C. Voight, and D. Mehlman. 2016. Migratory Species in the Gulf of Mexico Large Marine Ecosystem: Pathways, Threats and Atmospheric Administration (NOAA), 2014. Web. 13 Apr. 2017. http://response.restoration.noaa.gov/erma. and Conservation. The Nature Conservancy, Arlington, 93 pp. FIDEMAR. 2018. Reporte 2017. Fideicomiso de Investigación para el Desarrollo del Programa Nacional de Aprovechamiento del Atún y Collette, B., Acero, A., Amorim, A.F., Boustany, A., Canales Ramirez, C., Cardenas, G., Carpenter, K.E., Chang, S.-K., de Oliveira Protección de Delfines y otros en torno a especies Acuáticas Protegidas (FIDEMAR). Ensenada. Leite Jr., N., Di Natale, A., Die, D., Fox, W., Fredou, F.L., Graves, J., Guzman-Mora, A., Viera Hazin, F.H., Hinton, M., Juan Jor- Garrison, L. 2013. SEFSC GoMex Oceanic 1993 (S). Data downloaded from OBIS-SEAMAP (http://seamap. da, M., Minte Vera, C., Miyabe, N., Montano Cruz, R., Masuti, E., Nelson, R., Oxenford, H., Restrepo, V., Salas, E., Schaefer, K., env.duke.edu/dataset/17) on 2016-07-07. Schratwieser, J., Serra, R., Sun, C., Teixeira Lessa, R.P., Pires Ferreira Travassos, P.E., Uozumi, Y. & Yanez, E. 2011. Thunnus alb- Garrison, L. 2013. SEFSC GoMex Oceanic 2000. Data downloaded from OBIS-SEAMAP (http://seamap.env. acares. The IUCN Red List of Threatened Species 2011: e.T21857A9327139. http://dx.doi.org/10.2305/IUCN.UK.2011-2.RLTS. duke.edu/dataset/21) on 2016-07-07. T21857A9327139.en. Downloaded on 23 July 2018. GBIF: The Global Biodiversity Information Facility (2018). Available from https://www.gbif.org/. DOF. 2015. Acuerdo por el que se da a conocer el plan de manejo pesquero de atún aleta amarilla (Thunnus albacares) en el Golfo NMFS NOAA. “A Guide to Tunas of the Western Atlantic Ocean.” 2009. http://www.nmfs.noaa.gov/sfa/ de México. Diario Oficial de la Federación (DOF), Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación. hms/compliance/regulations/tuna_guide_2009.pdf Mexico City, 35 pp. NMFS. unpublished data. Gulf of Mexico historical fisheries survey database. National Marine Fisheries Ser- Harford, W.J., Karnauskas, M., Walter, J.F. and Liu, H., 2017. Non-parametric modeling reveals environmental effects on bluefin vice (NMFS), NOAA. Pascagoula. tuna recruitment in Atlantic, Pacific, and Southern Oceans. Fisheries Oceanography, 26(4), pp.396-412. OBIS. (2018) Ocean Biogeographic Information System. Intergovernmental Oceanographic Commission of ICAAT. 2010a. Report of the 2010 Atlantic bluefin tuna stock assessment. International Commission for the Conservation of Atlan- UNESCO. www.iobis.org. tic Tunas (ICAAT). Madrid. ICAAT. 2010b. Bluefin tuna research priorities and potential costs. Doc. No. STF-207/2008. International Commission for the Con- Tag-Recapture Data: servation of Atlantic Tunas (ICAAT). 4 pp. NMFS. 2017. Cooperative Tagging Center (CTC). National Marine Fisheries Service (NMFS), National Ocean- Incardona, J.P., et al. 2014. Deepwater Horizon crude oil impacts the developing hearts of large predatory pelagic fish. PNAS ic and Atmospheric Administration (NOAA). Miami. 201320950. Threats: IUCN 2018. The IUCN Red List of Threatened Species. Version 2018-1. . Downloaded on 05 July 2018. Halpern, Benjamin, Melanie Frazier, John Potapenko, Kenneth Casey, Kellee Koenig, et al. 2015. Cumulative human impacts: raw stressor Levesque, J. C. 2011. Commercial fisheries in the northwestern Gulf of Mexico: possible implications for conservation manage- data (2008 and 2013). urn:node:KNB. doi:10.5063/F1S180FS. ment at the Flower Garden Banks National Marine Sanctuary. – ICES Journal of Marine Science, 68: 2175–2190. Global Fishing Watch. 2018. Accessed on November 7, 2017. www.globalfishingwatch.org Marshall, K.N., et al. 2018. Ecosystem-based fisheries management for social–ecological systems: Renewing the focus in the Unit- Larvae Data: ed States with next generation fishery ecosystem plans. Conservation letters 11(1): 1–7. SEAMAP. 2017. Ichthyoplankton database. Southeast Area Monitoring and NMFS. 2018. Draft Gulf of Mexico ecosystem-based fishery management road map implementation plan. National Marine Fisher- Assessment Program (SEAMAP). Gulf States Marine Fisheries Commission. ies Service (NMFS), National Oceanic and Atmospheric Administration. 16 pp. Ocean Springs. https://seamap.gsmfc.org/datarequests/index.php Muhling, B.A., Lamkin, J.T., Quattro, J.M., Smith, R.H., Roberts, M.A., Roffer, M.A., Ramirez, K, 2010. Collection of Larval Bluefin Tuna (Thunnus Thynnus) Outside Documented Western Atlantic Spawning Grounds. Bulletin of Marine Science, Volume 87, Num- Fishing Regulations Table: ber 3, July 2011, pp. 687-694(8). Texas Parks and Wildlife. 2017. Regulations. https://tpwd.texas.gov/regula- Muhling, B.A., Roffer, M.A., Lamkin, J.T., Ingram Jr, G.W., Upton, M.A., Gawlikowski, G., Muller-Karger, F., Habtes, S. and Richards, tions/ W.J., 2012. Overlap between Atlantic bluefin tuna spawning grounds and observed Deepwater Horizon surface oil in the northern Louisiana Wildlife and Fisheries. 2017. Fishing Regulations. www.wlf.louisiana. Gulf of Mexico. Marine pollution bulletin, 64(4), pp.679-687. gov/fishing/regulations NMFS. 2013. Southeast Fisheries Science Center science plan. National Marine Fisheries Service (NMFS), National Oceanic and Mississippi Wildlife, Fisheries, and Parks. 2017. Fishing and Boating. www. Atmospheric Administration. 25 pp. mdwfp.com NMFS. 2012. NOAA Fisheries International Science Strategy. National Marine Fisheries Service (NMFS), National Oceanic and Outdoor Alabama. 2017. Saltwater Recreational Size and Creel Limits. https:// Atmospheric Administration. 24 pp. www.outdooralabama.com/fishing/saltwater-recreational-size-creel-limits NOAA Fisheries. 2006. Final Consolidated Atlantic Highly Migratory Species Fishery Management Plan. https://www.fisheries. Florida Fish and Wildlife Conservation Commission. 2017. Saltwater Fishing noaa.gov/management-plan/consolidated-atlantic-highly-migratory-species-management-plan Regulations. http://myfwc.com/fishing/saltwater/recreational/ Ramirez-Lopez, K. 2017. Indicadores biológico-pesqueros en la pesquería de atún con palangre en el Golfo de México. El Vigia NMFS Atlantic Tunas Program, NOAA. 2015. https://hmspermits.noaa.gov/other/tunas%20regulations%20brochure%20-%20final%20 22(45): 15-18. bft%20quota%20rule.pdf Rodgers, A.R., J.G. Kie, D. Wright, H.L. Beyer, and A.P. Carr. 2015. HRT: Home Range Tools for ArcGIS. Version 2.0. Ontario Ministry Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación. 2017. http://www.sportfishinginmexico.com/licences/ of Natural Resources and Forestry, Centre for Northern Forest Ecosystem Research, Thunder Bay, Ontario, Canada. TripCuba.org. 2017. Fishing in Cuba. https://www.tripcuba.org/fishing-in-cuba Steven L. H. Teo, Andre M. Boustany, and Barbara A. Block. 2007. Oceanographic preferences of Atlantic bluefin tuna, Thunnus Management Areas: thynnus, on their Gulf of Mexico breeding grounds. Mar Biol 152:1105–1119. NMFS, NOAA. 2014. Amendment 7 to the 2006 Consolidated Highly Migratory Species Fishery Management Plan. https://www.gpo.gov/ Teo SLH, Block BA (2010) Comparative Influence of Ocean Conditions on Yellowfin and Atlantic Bluefin Tuna Catch from Longlines fdsys/pkg/FR-2014-12-02/pdf/2014-28064.pdf in the Gulf of Mexico. PLoS ONE 5(5): e10756. Comisión Nacional de Áreas Naturales Protegidas (CONANP), Dirección de Evaluación y Seguimiento, Subdirección Encargada de la Coor- United Nations. 2017. On World Tuna Day, UN cites importance of sustainably managed fish stocks in achieving 2030 agenda. dinación de Geomática. 2017. Sistema Nacional de Áreas Protegidas (SINAP). http://www.conabio.gob.mx/informacion/gis https://www.un.org/sustainabledevelopment/blog/2017/05/on-world-tuna-day-un-cites-importance-of-sustainably-managed- DOF. 2012. Actualización de la Carta Nacional Pesquera de la Secretaria de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación. fish-stocks-in-achieving-2030-agenda/ Diario Oficial de la Federación, 24 Agosto. México D.F., 236 pp. WWF (World Wildlife Fund). 2018. Species: why they matter. https://www.worldwildlife.org/species Essential Fish Habitats. Atlantic Highly Migratory Species. National Oceanic and Atmospheric Administration (NOAA). https://www.habi- Sources tat.noaa.gov/protection/efh/efhmapper/ Highly Migratory Species. National Marine Fisheries Service (NMFS). National Oceanic and Atmospheric Administration (NOAA). The IUCN Red List of Threatened Species. Version 2017-3. www.iucnredlist.org. Downloaded 2018. Lorenzo, Carlos. 2013. El Centro Nacional de Áreas Protegidas (CNAP). Software: NOAA Marine Protected Areas Center in joint effort with the US Department of the Interior. MarineCadastre.gov. MPA Inventory – MPAs by Fishing Restriction. Retrieved May 23, 2017 from marinecadastre.gov/data. Sanchez, Amilcar Mitjans. 2017. Estado actual de la pesqueria commercial de atunes en el occidente de Cuba. Centro de Investigaciones Ball, I.R., H.P. Possingham, and M. Watts. 2009. Marxan and relatives: Software for spatial conservation prioritisation. Chapter Marinas, Universidad de la Habana, 51 pp. 14: Pages 185-195 in Spatial conservation prioritisation: Quantitative methods and computational tools. Eds Moilanen, A., K.A. World Database on Protected Areas (WDPA). International Union for the Conservation of Nature (IUCN). http://protectedplanet.net/ Wilson, and H.P. Possingham. Oxford University Press, Oxford, UK. ESRI 2015. ArcGIS Desktop: Release 10.3.1. Redlands, CA: Environmental Systems Research Institute. ArcGIS Maps Service Layer Credits: XTools Pro for ArcGIS. Version 17.0.2734.0. XTools Pro, Inc. Santa Clara, California, United States of America. 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