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Environmental Biology of Fishes

, Volume 102, Issue 2, pp 299–317 | Cite as

Combining data sources to elucidate spatial patterns in recreational catch and effort: fisheries-dependent data and local ecological knowledge applied to the South Florida bonefish fishery

  • R. O. SantosEmail author
  • J. S. Rehage
  • E. K. N. Kroloff
  • J. E. Heinen
  • A. J. Adams
Article

Abstract

Spatial data are key to fishery management; however, most often the spatial distribution of marine populations and fishing dynamics are poorly documented, especially for recreational fish species. The combination of fisheries-dependent data (FDD) obtained from logbooks, and local ecological knowledge (LEK) gathered from key stakeholders could be a powerful approach to inform data gaps in data-limited fisheries. In this study, we used both FDD from guides’ catch reports and LEK using an online survey and key-informant interviews to reconstruct the spatial changes in bonefish (Albula vulpes) catch and fishing effort throughout South Florida over the past 35–40 years, and better understand the extent and spatial patterns of the bonefish decline described in previous studies. Although anglers perceived a decline of bonefish numbers across all fishing areas (26 to 53% drop across Biscayne Bay, the Florida Keys, and Florida Bay), the start of the bonefish decline in Florida Bay resulted in the highest drop in bonefish number (53%); thus, indicating both regional and localized decline events affecting bonefish abundance. Within Florida Bay, LEK and FDD concurred with an initial drop in bonefish at Inner Bay, followed by a greater magnitude of decline at Outer Bay. Metrics of effort derived from the survey and interviews depicted a shrinkage and aggregation in the spatial distribution of fishing and a shift of fishing activities toward the Lower Keys. In sum, the spatiotemporal patterns of catch and effort obtained from LEK and FDD allowed us to understand where, when and how this data-limited species declined in South Florida.

Keywords

Recreational fisheries Local ecological knowledge Fisheries-dependent data Spatial analysis 

Notes

Acknowledgements

We are grateful to all the South Florida guides and anglers who participated in our online survey and that graciously shared their experience and passion for fishing with us in interviews, and to Brooke Black who helped us coordinate the interview process. The work by reviewed and deemed exempt by Florida International University’s Institutional Review Board (IRB Protocol exemption #: IRB-14-0235, August 26, 2014). The study was funded by Bonefish and Tarpon Trust and developed in collaboration with the FCE LTER program (NSF DEB-1237517). This is contribution #108 from the Center for Coastal Oceans Research in the Institute of Water and Environment at Florida International University.

Compliance with ethical standards

Ethical approval

Our survey was approved by the Human Subjects Board at Florida International University and was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.

References

  1. Adams AJ (2017) Guidelines for evaluating the suitability of catch and release fisheries: lessons learned from Caribbean flats fisheries. Fish Res 186:672–680.  https://doi.org/10.1016/J.FISHRES.2016.09.027 CrossRefGoogle Scholar
  2. Adams AJ, Horodysky AZ, Mcbride RS et al (2014) Global conservation status and research needs for tarpons (Megalopidae), ladyfishes (Elopidae) and bonefishes (Albulidae). Fish Fish 15:280–311.  https://doi.org/10.1111/faf.12017 CrossRefGoogle Scholar
  3. Ainsworth CH (2011) Quantifying species abundance trends in the northern gulf of California using local ecological knowledge. Mar Coast Fish 3:190–218.  https://doi.org/10.1080/19425120.2010.549047 CrossRefGoogle Scholar
  4. Angulo-Valdes J, Lopez Castaneda L, Navarro-Martinez Z, et al (2017) Status of Cuban fisheries: implications for recreational fisheries. In: Bonefish & Tarpon Trust SymposiumGoogle Scholar
  5. Armstrong CW, Falk-Petersen J (2008) Habitat–fisheries interactions: a missing link? ICES J Mar Sci 65:817–821CrossRefGoogle Scholar
  6. Atkinson DB, Rose GA, Murphy EF, Bishop CA (1997) Distribution changes and abundance of northern cod (Gadus morhua), 1981–1993. Can J Fish Aquat Sci 54:132–138.  https://doi.org/10.1139/f96-158 Google Scholar
  7. Ault JS (2008) Biology and management of the world tarpon and bonefish fisheries. CRC PressGoogle Scholar
  8. Axinn WG, Pearce LD, Ghimire D (1999) Innovations in life history calendar applications. Soc Sci Res 28:243–264CrossRefGoogle Scholar
  9. Aylesworth L, Phoonsawat R, Suvanachai P, Vincent ACJ (2017) Generating spatial data for marine conservation and management. Biodivers Conserv 26:383–399.  https://doi.org/10.1007/s10531-016-1248-x CrossRefGoogle Scholar
  10. Babcock EA, Pikitch EK, McAllister MK et al (2005) A perspective on the use of spatialized indicators for ecosystem-based fishery management through spatial zoning. ICES J Mar Sci 62:469–476.  https://doi.org/10.1016/j.icesjms.2005.01.010 CrossRefGoogle Scholar
  11. Beaudreau AH, Levin PS (2014) Advancing the use of local ecological knowledge for assessing data-poor species in coastal ecosystems. Ecol Appl 24:244–256.  https://doi.org/10.1890/13-0817.1 CrossRefGoogle Scholar
  12. Beaudreau AH, Whitney EJ (2016) Historical patterns and drivers of spatial changes in recreational fishing activity in Puget Sound, Washington. PLoS One 11:e0152190CrossRefGoogle Scholar
  13. Beck CP (2016) Potential Effects of Chemical Contamination on South Florida Bonefish Albula vulpes. Florida International University Electronic Theses and Dissertations. 2980. https://digitalcommons.fiu.edu/etd/2980. Accessed 30 Jan 2018
  14. Begossi A (2006) Temporal stability in fishing spots: conservation and co-management in Brazilian artisanal coastal fisheries. Ecol Soc 11.  https://doi.org/10.5751/ES-01380-110105
  15. Belli RF, Shay WL, Stafford FP (2001) Event history calendars and question list surveys: A direct comparison of interviewing methods. Public Opin Q 65:45–74CrossRefGoogle Scholar
  16. Black BD, Adams AJ, Bergh C (2015) Mapping of stakeholder activities and habitats to inform conservation planning for a national marine sanctuary. Environ Biol Fish 98:2213–2221.  https://doi.org/10.1007/s10641-015-0435-z CrossRefGoogle Scholar
  17. Bland LM, Regan TJ, Dinh MN, Ferrari R, Keith DA, Lester R, Mouillot D, Murray NJ, Nguyen HA, Nicholson E (2017) Using multiple lines of evidence to assess the risk of ecosystem collapse. Proc Biol Sci 284:20170660.  https://doi.org/10.1098/rspb.2017.0660 CrossRefGoogle Scholar
  18. Bojanowski M (2017) Lspline: linear splines with convenient parametrisationsGoogle Scholar
  19. Boyer JN, Kelble CR, Ortner PB, Rudnick DT (2009) Phytoplankton bloom status: chlorophyll a biomass as an indicator of water quality condition in the southern estuaries of Florida, USA. Ecol Indic 9:S56–S67.  https://doi.org/10.1016/j.ecolind.2008.11.013 CrossRefGoogle Scholar
  20. Briceño HO, Boyer JN, Castro J, Harlem P (2013) Biogeochemical classification of South Florida’s estuarine and coastal waters. Mar Pollut Bull 75:187–204.  https://doi.org/10.1016/j.marpolbul.2013.07.034 CrossRefGoogle Scholar
  21. Brownscombe JW, Danylchuk AJ, Adams AJ, et al (2018) Bonefish in South Florida: status, threats and research needs. Environ Biol Fishes :1–20.  https://doi.org/10.1007/s10641-018-0820-5
  22. Bryan DR, Luo J, Ault JS, McClellan DB, Smith SG, Snodgrass D, Larkin MF (2015) Transport and connectivity modeling of larval permit from an observed spawning aggregation in the Dry Tortugas, Florida. Environ Biol Fish 98:2263–2276.  https://doi.org/10.1007/s10641-015-0445-x CrossRefGoogle Scholar
  23. Calenge C (2015) Home range estimation in R : the adehabitatHR package. R vignette 76:1–60.  https://doi.org/10.1111/j.1365-2656.2006.01186.x Google Scholar
  24. Campbell RA (2004) CPUE standardisation and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fish Res 70:209–227.  https://doi.org/10.1016/j.fishres.2004.08.026 CrossRefGoogle Scholar
  25. Carruthers T, Hordyk A (2016) DLMtool: Data-limited methods toolkit (v2.1.1)Google Scholar
  26. Cass-Calay SL, Schmidt TW (2009) Monitoring changes in the catch rates and abundance of juvenile goliath grouper using the ENP creel survey, 1973-2006. Endanger Species Res 7:183–193.  https://doi.org/10.3354/esr00139 CrossRefGoogle Scholar
  27. Coggins LG, Catalano MJ, Allen MS, Pine WE, Walters CJ (2007) Effects of cryptic mortality and the hidden costs of using length limits in fishery management. Fish Fish 8:196–210.  https://doi.org/10.1111/j.1467-2679.2007.00247.x CrossRefGoogle Scholar
  28. Coleman FC, Figueira WF, Ueland JS, Crowder LB (2004) The impact of United States recreational fisheries on marine fish populations. Science (80) 305  https://doi.org/10.1126/science.1100397
  29. Cooke SJ, Cowx IG (2006) Contrasting recreational and commercial fishing: searching for common issues to promote unified conservation of fisheries resources and aquatic environments. Biol Conserv 128:93–108.  https://doi.org/10.1016/j.biocon.2005.09.019 CrossRefGoogle Scholar
  30. Cooke SJ, Donaldson MR, O’connor CM et al (2013) The physiological consequences of catch-and-release angling: perspectives on experimental design, interpretation, extrapolation and relevance to stakeholders. Fish Manag Ecol 20:268–287.  https://doi.org/10.1111/j.1365-2400.2012.00867.x CrossRefGoogle Scholar
  31. Cowen RK, Paris CB, Srinivasan A (2006) Scaling of connectivity in marine populations. Science (80) 311:522–527  https://doi.org/10.1126/science.1122039
  32. Crabtree RE, Harnden CW, Snodgrass D, Stevens C (1996) Age, growth, and mortality of bonefish, Albula vulpes, from the waters of the Florida keys. Fish Bull 94:442–451Google Scholar
  33. Crabtree RE, Stevens C, Snodgrass D, Stengard FJ (1998) Feeding habits of bonefish, Albula vulpes, from the waters of the Florida keys. Fish Bull 96:754–766Google Scholar
  34. da Anadón J, D’Agrosa C, Gondor A, Gerber LR (2011) Quantifying the spatial ecology of wide-ranging marine species in the Gulf of California: Implications for marine conservation planning 6  https://doi.org/10.1371/journal.pone.0028400
  35. Davis A, Wagner JR (2003) Who knows? On the importance of identifying “experts” when researching local ecological knowledge. Hum Ecol 31:463–489.  https://doi.org/10.1023/A:1025075923297 CrossRefGoogle Scholar
  36. Diefenderfer HL, Johnson GE, Thom RM, Buenau KE, Weitkamp LA, Woodley CM, Borde AB, Kropp RK (2016) Evidence-based evaluation of the cumulative effects of ecosystem restoration. Ecosphere 7:e01242.  https://doi.org/10.1002/ecs2.1242 CrossRefGoogle Scholar
  37. Dongol Y, Heinen JT (2012) Pitfalls of CITES implementation in Nepal: a policy gap analysis. Environ Manag 50:181–190.  https://doi.org/10.1007/s00267-012-9896-4 CrossRefGoogle Scholar
  38. Erisman BE, Allen LG, Claisse JT, Pondella DJ II, Miller EF, Murray JH (2011) The illusion of plenty: hyperstability masks collapses in two recreational fisheries that target fish spawning aggregations. Can J Fish Aquat Sci 68:1705–1716.  https://doi.org/10.1139/F2011-090 CrossRefGoogle Scholar
  39. Fedler A (2013) Economic impact of the Florida keys flats fisheryGoogle Scholar
  40. Fernandez C, Adams A (2004) Flyfishing for bonefishGoogle Scholar
  41. Fonteneau A, Richard N (2003) Relationship between catch, effort, CPUE and local abundance for non-target species, such as billfishes, caught by Indian Ocean longline fisheries. Mar Freshw Res 54:383–392.  https://doi.org/10.1071/MF01268 CrossRefGoogle Scholar
  42. Fourqurean J, Robblee M (1999) Florida bay: a history of recent ecological changes. Estuaries 22:345–357CrossRefGoogle Scholar
  43. Freedman D, Thornton A, Camburn D, Alwin D, Young-DeMarco L (1988) The life history calendar: A technique for collecting retrospective data. Sociol Methodol 18:37–68CrossRefGoogle Scholar
  44. Frezza PE, Clem SE (2015) Using local fishers’ knowledge to characterize historical trends in the Florida bay bonefish population and fishery. Environ Biol Fish 98:2187–2202.  https://doi.org/10.1007/s10641-015-0442-0 CrossRefGoogle Scholar
  45. García Lozano AJ, Heinen JT (2016) Identifying drivers of collective action for the co-management of coastal marine fisheries in the Gulf of Nicoya, Costa Rica. Environ Manag 57:759–769.  https://doi.org/10.1007/s00267-015-0646-2 CrossRefGoogle Scholar
  46. Gilchrist G, Mallory M, Merkel F (2005) Can local ecological knowledge contribute to wildlife management? Case studies of migratory birds. Ecol Soc 10:12CrossRefGoogle Scholar
  47. Glasner T, van der Vaart W, Dijkstra W (2015) Calendar instruments in retrospective web surveys. Field Methods 27:265–283CrossRefGoogle Scholar
  48. Grober-Dunsmore R, Bonito V, Aalbersberg B, Kabatia T (2009) Findings from acoustic tagging reveal community based MPA in Figi affords reasonable protection to Lethrinids. Biol ConservGoogle Scholar
  49. Hall LW, Giddings JM (2000) The need for multiple lines of evidence for predicting site-specific ecological effects. Hum Ecol Risk Assess An Int J 6:679–710.  https://doi.org/10.1080/10807030008951334 CrossRefGoogle Scholar
  50. Hall MO, Furman BT, Merello M, Durako MJ (2016) Recurrence of Thalassia testudinum seagrass die-off in Florida bay, USA: initial observations. Mar Ecol Prog Ser 560:243–249.  https://doi.org/10.3354/meps11923 CrossRefGoogle Scholar
  51. Halpern BS, Walbridge S, Selkoe KA, Kappel CV, Micheli F, D'Agrosa C, Bruno JF, Casey KS, Ebert C, Fox HE, Fujita R, Heinemann D, Lenihan HS, Madin EMP, Perry MT, Selig ER, Spalding M, Steneck R, Watson R (2008) A global map of human impact on marine ecosystems. Science 319:948–952.  https://doi.org/10.1126/science.1149345 CrossRefGoogle Scholar
  52. Harford WJ, Ton C, Babcock EA (2015) Simulated mark-recovery for spatial assessment of a spiny lobster (Panulirus argus) fishery. Fish Res 165:42–53.  https://doi.org/10.1016/j.fishres.2014.12.024 CrossRefGoogle Scholar
  53. Hazen EL, Maxwell SM, Bailey H, Bograd SJ, Hamann M, Gaspar P, Godley BJ, Shillinger GL (2012) Ontogeny in marine tagging and tracking science: technologies and data gaps. Mar Ecol Prog Ser 457:221–240.  https://doi.org/10.3354/meps09857 CrossRefGoogle Scholar
  54. Heinen JT (1995) International conservation agreements. In: Nierenberg WA (ed). Encyclopedia of environmental biology, vol 1. Academic Press, San Diego, pp 375–384Google Scholar
  55. Heinen JT (2012) International trends in protected areas policy and management. InTech chapter 1 in: www.intechopen.com (doi  https://doi.org/10.5772/50061). Global issues and trends in the protection of natural areas. 18 pp
  56. Heinen JT, Shrivastava RJ (2009) An analysis of conservation attitudes and awareness around Kaziranga National Park, Assam, India: implications for conservation and development. Popul Environ 30:261–274.  https://doi.org/10.1007/s11111-009-0086-0 CrossRefGoogle Scholar
  57. Hind EJ (2015) A review of the past, the present, and the future of fishers’ knowledge research: a challenge to established fisheries science. ICES J Mar Sci 72:341–358.  https://doi.org/10.1093/icesjms/fsu169 CrossRefGoogle Scholar
  58. Holstein DM, Paris CB, Mumby PJ (2014) Consistency and inconsistency in multispecies population network dynamics of coral reef ecosystems. Mar Ecol Prog Ser 499:1–18.  https://doi.org/10.3354/meps10647 CrossRefGoogle Scholar
  59. Horodysky AZ, Cooke SJ, Brill RW (2015) Physiology in the service of fisheries science: why thinking mechanistically matters. Rev Fish Biol Fish 25:425–447.  https://doi.org/10.1007/s11160-015-9393-y CrossRefGoogle Scholar
  60. Hothorn T, Bretz F, Westfall P (2008) Simultaneous inference in general parametric models. Biom J 50:346–363CrossRefGoogle Scholar
  61. Hughes RM (2015) Recreational fisheries in the USA: economics, management strategies, and ecological threats. Fish Sci 81:1–9.  https://doi.org/10.1007/s12562-014-0815-x CrossRefGoogle Scholar
  62. Humston R, Ault JS, Larkin MF, Luo J (2005) Movements and site fidelity of the bonefish Albula vulpes in the northern Florida keys determined by acoustic telemetry. Mar Ecol Prog Ser 291:237–248.  https://doi.org/10.3354/meps291237 CrossRefGoogle Scholar
  63. Huntington HP (2000) Using traditional ecological knowledge in science: methods and applications. Ecol Appl 10:1270–1274. https://doi.org/10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2Google Scholar
  64. Jensen OP, Branch TA, Hilborn R (2012) Marine fisheries as ecological experiments. Theor Ecol 5:3–22.  https://doi.org/10.1007/s12080-011-0146-9 CrossRefGoogle Scholar
  65. Kough AS, Paris CB, Butler IV MJ (2013) Larval connectivity and the international management of fisheries. PLoS one 8  https://doi.org/10.1371/journal.pone.0064970
  66. Kroloff EKN, Heinen JT, Braddock KN, et al (2018) Understanding the decline of catch-and-release fishery with angler knowledge: a key informant approach applied to South Florida bonefish. Environ Biol Fishes :1–10.  https://doi.org/10.1007/s10641-018-0812-5
  67. Larkin MF (2011) Assessment of South Florida’ s bonefish stock. These Diss 214Google Scholar
  68. Larkin MF, Ault JS, Humston R, Luo J (2010) A mail survey to estimate the fishery dynamics of southern Florida’s bonefish charter fleet. Fish Manag Ecol 17:254–261.  https://doi.org/10.1111/j.1365-2400.2009.00718.x CrossRefGoogle Scholar
  69. Laver PN, Kelly MJ (2008) A critical review of home range studies. J Wildl Manag 72:290–298.  https://doi.org/10.2193/2005-589 CrossRefGoogle Scholar
  70. Lavides MN, Polunin NVC, Stead SM et al (2009) Finfish disappearances around Bohol, Philippines inferred from traditional ecological knowledge. Environ Conserv 36:235.  https://doi.org/10.1017/S0376892909990385 CrossRefGoogle Scholar
  71. Léopold M, Guillemot N, Rocklin D, Chen C (2014) A framework for mapping small-scale coastal fisheries using fishers’ knowledge. ICES J Mar Sci 71:1781–1792.  https://doi.org/10.1093/icesjms/fst204 CrossRefGoogle Scholar
  72. Link JS (2002) Ecological considerations in fisheries management: when does it matter? Fisheries 27:10–17.  https://doi.org/10.1577/1548-8446(2002)027<0010:ECIFM>2.0.CO;2 CrossRefGoogle Scholar
  73. Madden CJ, Rudnick DT, McDonald AA et al (2009) Ecological indicators for assessing and communicating seagrass status and trends in Florida bay. Indic Everglades Restor 9:S68–S82.  https://doi.org/10.1016/j.ecolind.2009.02.004 Google Scholar
  74. Maunder MN, Punt AE (2004) Standardizing catch and effort data: a review of recent approaches. Fish Res 70:141–159.  https://doi.org/10.1016/j.fishres.2004.08.002 CrossRefGoogle Scholar
  75. Maunder MN, Sibert JR, Fonteneau A et al (2006) Interpreting catch per unit effort data to assess the status of individual stocks and communities. ICES J Mar Sci 63:1373–1385.  https://doi.org/10.1016/j.icesjms.2006.05.008 CrossRefGoogle Scholar
  76. Meynecke JO, Lee SY, Duke NC (2008) Linking spatial metrics and fish catch reveals the importance of coastal wetland connectivity to inshore fisheries in Queensland. Australia 141:981–996.  https://doi.org/10.1016/j.biocon.2008.01.018 Google Scholar
  77. Mojica R, Shenker JM, Harnden CW, Wagner DE (1995) Recruitment of bonefish, Albula vulpes, around lee Stocking Island, Bahamas. Fish Bull 93:666–674Google Scholar
  78. Morselli D, Berchtold A, Granell JCS, Berchtold A (2016) On-line life history calendar and sensitive topics: A pilot study. Comput Hum Behav 58:141–149CrossRefGoogle Scholar
  79. Mumby PJ, Edwards AJ, Ernesto Arias-González J, Lindeman KC, Blackwell PG, Gall A, Gorczynska MI, Harborne AR, Pescod CL, Renken H, C. C. Wabnitz C, Llewellyn G (2004) Mangroves enhance the biomass of coral reef fish communities in the Caribbean. Nature 427:533–536.  https://doi.org/10.1038/nature02286 CrossRefGoogle Scholar
  80. Murchie KJ, Cooke SJ, Danylchuk AJ, Danylchuk SE, Goldberg TL, Suski CD, Philipp DP (2013) Movement patterns of bonefish (Albula vulpes) in tidal creeks and coastal waters of Eleuthera, the Bahamas. Fish Res 147:404–412.  https://doi.org/10.1016/j.fishres.2013.03.019 CrossRefGoogle Scholar
  81. Nagelkerken I, Sheaves M, Baker R, Connolly RM (2015) The seascape nursery: a novel spatial approach to identify and manage nurseries for coastal marine fauna. Fish Fish 16:362–371.  https://doi.org/10.1111/faf.12057 CrossRefGoogle Scholar
  82. Olds AD, Connolly RM, Pitt KA, Maxwell PS (2012) Habitat connectivity improves reserve performance. Conserv Lett 5:56–63.  https://doi.org/10.1111/j.1755-263X.2011.00204.x CrossRefGoogle Scholar
  83. Osborne J, Schmidt TW, Kalafarski J (2006) Year 2005 annual marine fisheries report. Everglades Natl ParkGoogle Scholar
  84. Papworth SK, Rist J, Coad L, Milner-Gulland EJ (2009) Evidence for shifting baseline syndrome in conservation. Conserv Lett 2:93–100.  https://doi.org/10.1111/j.1755-263X.2009.00049.x Google Scholar
  85. Pauly D (1995) Anecdotes and the shifting baseline syndrome of fisheries. Trends Ecol Evol 10:430.  https://doi.org/10.1016/S0169-5347(00)89171-5 CrossRefGoogle Scholar
  86. Pauly D (1998) Fishing down marine food webs. Science (80- ) 279:860–863  https://doi.org/10.1126/science.279.5352.860
  87. Pittman SJ, Monaco ME, Friedlander AM, Legare B, Nemeth RS, Kendall MS, Poti M, Clark RD, Wedding LM, Caldow C (2014) Fish with chips: tracking reef fish movements to evaluate size and connectivity of caribbean marine protected areas. PLoS One 9:e96028.  https://doi.org/10.1371/journal.pone.0096028 CrossRefGoogle Scholar
  88. Planque B, Fromentin JM, Cury P, Drinkwater KF, Jennings S, Perry RI, Kifani S (2010) How does fishing alter marine populations and ecosystems sensitivity to climate? J Mar Syst 79:403–417.  https://doi.org/10.1016/j.jmarsys.2008.12.018 CrossRefGoogle Scholar
  89. Post JR (2013) Resilient recreational fisheries or prone to collapse? A decade of research on the science and management of recreational fisheries. Fish Manag Ecol 20:99–110.  https://doi.org/10.1111/fme.12008 CrossRefGoogle Scholar
  90. Post JR, Persson L, Parkinson EA, van Kooten T (2008) Angler numerical response across landscapes and the collapse of freshwater fisheries. Ecol Appl 18:1038–1049.  https://doi.org/10.1890/07-0465.1 CrossRefGoogle Scholar
  91. R Core Team (2017) R: A language and environment for statistical computingGoogle Scholar
  92. Rehage JS, Santos RO, Kroloff EKN, Heinen JE, Lai Q, Black B, Boucek RE, Adams AJ (in this issue) how has the quality of bonefishing changed? Quantifying temporal patterns in the South Florida flats fishery using local ecological knowledge. Environ Biol FishesGoogle Scholar
  93. Roessler M a (1970) Checklist of fishes in Buttonwood Canal, Everglades National Park, Florida, and observations on the seasonal occurrence and life histories of selected species. Bull Mar Sci 20:860–893Google Scholar
  94. Roughgarden J, Smith F (1996) Why fisheries collapse and what to do about it. Proc Natl Acad Sci U S A 93:5078–5083.  https://doi.org/10.1073/pnas.93.10.5078 CrossRefGoogle Scholar
  95. Rudnick DT, Ortner PB, Browder JA, Davis SM (2005) A conceptual ecological model of Florida Bay. Wetlands 25:870–883. https://doi.org/10.1672/0277-5212(2005)025[0870:ACEMOF]2.0.CO;2Google Scholar
  96. Santos RO, Rehage JS, Adams AJ, Black BD, Osborne J, Kroloff EKN (2017) Quantitative assessment of a data-limited recreational bonefish fishery using a time-series of fishing guides reports 12:e0184776.  https://doi.org/10.1371/journal.pone.0184776
  97. Saul SE, Walter JF, Die DJ et al (2013) Modeling the spatial distribution of commercially important reef fishes on the West Florida shelf. Fish Res 143:12–20.  https://doi.org/10.1016/j.fishres.2013.01.002 CrossRefGoogle Scholar
  98. Schmidt TW, Osborne J, Kalafarski J, Greene C (2002) Year 2001 annual fisheries report, Everglades Natioal Park. USNPS/SFNRC/ENP, 40001 state road 9336, homestead, FL 33034Google Scholar
  99. Schroeder DM, Love MS (2002) Recreational fishing and marine fish populations in California. Calif Coop Ocean Fish Investig 43:182–190Google Scholar
  100. Shrestha-Acharya R, Heinen JT (2006) Emerging policy issues in non-timber forest products in Nepal. Himalaya 26(1–2):51–54Google Scholar
  101. Sosin M (2008) Memories of the Florida keys: tarpon and bonefish like it used to be. In: Ault JS (ed) Biology and management of the world tarpon and bonefish fisheries. CRC Press, Boca Raton, pp 345–344Google Scholar
  102. St. Martin K (2001) Making space for community resource management in fisheries. Ann Assoc Am Geogr 91:122–142.  https://doi.org/10.1111/0004-5608.00236 CrossRefGoogle Scholar
  103. Stabenau E, Kotun K (2012) Salinity and hydrology of Florida bay: status and trends 1990-2009Google Scholar
  104. Swearer SE, Shima JS, Hellberg ME et al (2002) Evidence of self recruitment in demersal marine populations. Bull Mar Sci 70:251–271Google Scholar
  105. Thornton TF, Scheer AM (2012) Collaborative engagement of local and traditional knowledge and science in marine environments: a review. Ecol Soc 17:art8  https://doi.org/10.5751/ES-04714-170308
  106. Tilmant JT, Rutherford ER, Dawson RH, Thue EB (1986) Impact of gamefish harvest in Everglades National Park. In: Larson G, Soukup M (eds) Proceedings of the fourth conference on research in the National Parks and equivalent reserves. Fort Collins, Colorado, pp 75–103Google Scholar
  107. Wallace E (2014) Assessing biodiversity, evolution, and biogeography in bonefishes (Albuliformes): resolving relationships and aiding management. University of MinnesotaGoogle Scholar
  108. Winker H, Kerwath SE, Attwood CG (2013) Comparison of two approaches to standardize catch-per-unit-effort for targeting behaviour in a multispecies hand-line fishery. Fish Res 139:118–131.  https://doi.org/10.1016/j.fishres.2012.10.014 CrossRefGoogle Scholar
  109. Worm B, Barbier EB, Beaumont N, et al (2006) Impacts of biodiversity loss on ocean ecosystem services. Science (80) 314:787-790Google Scholar
  110. Yates KL, Schoeman DS (2013) Spatial access priority mapping (sapm) with fishers: a quantitative gis method for participatory planning. PLoS One 8:e68424.  https://doi.org/10.1371/journal.pone.0068424 CrossRefGoogle Scholar
  111. Zeng X, Adams A, Roffer M, He R (2018) Potential connectivity among spatially distinct management zones for Bonefish (Albula vulpes) via larval dispersal. Environ Biol Fishes :1-20.  https://doi.org/10.1007/s10641-018-0826-z
  112. Zieman JC, Fourqurean JW, Frankovich T a (1999) Seagrass die-off in Florida bay: long-term trends in abundance and growth of turtle grass, Thalassia testudinum. Estuaries 22:460.  https://doi.org/10.2307/1353211 CrossRefGoogle Scholar
  113. Zukowski S, Curtis A, Watts RJ (2011) Using fisher local ecological knowledge to improve management: the Murray crayfish in Australia. Fish Res 110:120–127.  https://doi.org/10.1016/J.FISHRES.2011.03.020 CrossRefGoogle Scholar

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© Springer Nature B.V. 2018

Authors and Affiliations

  • R. O. Santos
    • 1
    • 2
    Email author
  • J. S. Rehage
    • 1
  • E. K. N. Kroloff
    • 1
  • J. E. Heinen
    • 1
  • A. J. Adams
    • 3
  1. 1.Earth and Environment DepartmentFlorida International UniversityMiamiUSA
  2. 2.Southeast Environmental Research CenterFlorida International UniversityMiamiUSA
  3. 3.Bonefish and Tarpon TrustCoral GablesUSA

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