Bowen, B. W., Rocha, L. A., Toonen, R. J. & Karl, S. A. The origins of tropical marine biodiversity. Trends Ecol. Evol. 28, 359–366 (2013).
Google Scholar
Lam, V. W. et al. Climate change, tropical fisheries and prospects for sustainable development. Nat. Rev. Earth Environ. 1, 440–454 (2020).
Google Scholar
Halpern, B. S. et al. Recent pace of change in human impact on the world’s ocean. Sci. Rep. 9, 1–8 (2019).
Google Scholar
Capitani, L., de Araujo, J. N., Vieira, E. A., Angelini, R. & Longo, G. O. Ocean warming will reduce standing biomass in a tropical western atlantic reef ecosystem. Ecosystems https://doi.org/10.1007/s10021-021-00691-z (2021).
Google Scholar
Lima, L. S. et al. Potential changes in the connectivity of marine protected areas driven by extreme ocean warming. Sci. Rep. 11, 1–12 (2021).
Google Scholar
Sale, P. F. et al. Transforming management of tropical coastal seas to cope with challenges of the 21st century. Mar. Pollut. Bull. 85, 8–23 (2014).
Google Scholar
Dunstan, P. K. et al. How can climate predictions improve sustainability of coastal fisheries in Pacific Small-Island Developing States?. Mar. Policy 88, 295–302 (2018).
Google Scholar
Martins, I. M. & Gasalla, M. A. Perceptions of climate and ocean change impacting the resources and livelihood of small-scale fishers in the South Brazil Bight. Clim. Change 147, 441–456 (2018).
Google Scholar
Moura, R. L. et al. Spatial patterns of benthic megahabitats and conservation planning in the Abrolhos Bank. Cont. Shelf Res. 70, 109–117 (2013).
Google Scholar
Lesser, M. P., Slattery, M. & Leichter, J. J. Ecology of mesophotic coral reefs. J. Exp. Mar. Biol. Ecol. 375, 1–8 (2009).
Google Scholar
Bryan, D. R., Kilfoyle, K., Gilmore, R. G. Jr. & Spieler, R. E. Characterization of the mesophotic reef fish community in south Florida, USA. J. Appl. Ichthyol. 29, 108–117 (2013).
Google Scholar
Fukunaga, A., Kosaki, R. K., Wagner, D. & Kane, C. Structure of Mesophotic Reef Fish Assemblages in the Northwestern Hawaiian Islands. PLoS One 11, e0157861 (2016).
Google Scholar
Kahng, S., Copus, J. M. & Wagner, D. Mesophotic coral ecosystems. In Marine Animal Forests (eds Rossi, S. et al.) 1–22 (Springer International Publishing, Paris, 2016). https://doi.org/10.1007/978-3-319-17001-5_4-1.
Google Scholar
Rocha, L. A. et al. Mesophotic coral ecosystems are threatened and ecologically distinct from shallow water reefs. Science 361, 281–284 (2018).
Google Scholar
Bongaerts, P. et al. Deep reefs are not universal refuges: Reseeding potential varies among coral species. Sci. Adv. 3, e1602373 (2017).
Google Scholar
Rosa, M. R. et al. Mesophotic reef fish assemblages of the remote St. Peter and St. Paul’s Archipelago, Mid-Atlantic Ridge, Brazil. Coral Reefs 35, 113–123 (2016).
Google Scholar
Medeiros, A. P. et al. Deep reefs are not refugium for shallow-water fish communities in the southwestern Atlantic. Ecol. Evol. 11, 4413–4427 (2021).
Google Scholar
Reid, D. G. SEFOS—Shelf edge fisheries and oceanography studies: An overview. Fish. Res. 50, 1–15 (2001).
Google Scholar
Heyman, W. D. & Kjerfve, B. Characterization of transient multi-species reef fish spawning aggregations at Gladden Spit, Belize. Bull. Mar. Sci. 83, 531–551 (2008).
Paxton, A. B. et al. Four decades of reef observations illuminate deep-water grouper hotspots. Fish Fish. 22, 749–761. https://doi.org/10.1111/faf.12548 (2021).
Google Scholar
Frédou, T. & Ferreira, B. P. Bathymetric trends of northeastern Brazilian snappers (Pisces, Lutjanidae): Implications for the reef fishery dynamic. Braz. Arch. Biol. Technol. 48, 787–800 (2005).
Google Scholar
Longhurst, A. R. & Pauly, D. Ecologia dos oceanos tropicais (Edusp, 2007).
Olavo, G., Costa, P. A., Martins, A. S. & Ferreira, B. P. Shelf-edge reefs as priority areas for conservation of reef fish diversity in the tropical Atlantic. Aquat. Conserv. Mar. Freshw. Ecosyst. 21, 199–209 (2011).
Google Scholar
Eduardo, L. N. et al. Identifying key habitat and spatial patterns of fish biodiversity in the tropical Brazilian continental shelf. Cont. Shelf Res. 166, 108–118 (2018).
Google Scholar
Silva, M. B., Rosa, R. S., Menezes, R. & Francini-Filho, R. B. Changes in reef fish assemblages in a cross-shelf euphotic-mesophotic gradient in tropical SW Atlantic. Estuar. Coast. Shelf Sci. 259, 107465 (2021).
Google Scholar
Doty, M. S. & Oguri, M. The island mass effect. ICES J. Mar. Sci. 22, 33–37 (1956).
Google Scholar
Gove, J. M. et al. Near-island biological hotspots in barren ocean basins. Nat. Commun. 7, 1–8 (2016).
Google Scholar
Letessier, T. B. et al. Remote reefs and seamounts are the last refuges for marine predators across the Indo-Pacific. PLoS Biol. 17, e3000366 (2019).
Google Scholar
Heywood, K. J., Barton, E. D. & Simpson, J. H. The effects of flow disturbance by an oceanic island. J. Mar. Res. 48, 55–73 (1990).
Google Scholar
Signorini, S. R., McClain, C. R. & Dandonneau, Y. Mixing and phytoplankton bloom in the wake of the Marquesas Islands. Geophys. Res. Lett. 26, 3121–3124 (1999).
Google Scholar
Henry, G. W. & Lyle, J. M. National recreational and indigenous fishing survey (2003).
Coutis, P. F. & Middleton, J. H. Flow-topography interaction in the vicinity of an isolated, deep ocean island. Deep Sea Res. Part Oceanogr. Res. Pap. 46, 1633–1652 (1999).
Google Scholar
Cardoso, C., Caldeira, R. M. A., Relvas, P. & Stegner, A. Islands as eddy transformation and generation hotspots: Cabo Verde case study. Prog. Oceanogr. 184, 102271 (2020).
Google Scholar
Tchamabi, C. C., Araujo, M., Silva, M. & Bourlès, B. A study of the Brazilian Fernando de Noronha island and Rocas atoll wakes in the tropical Atlantic. Ocean Model 111, 9–18 (2017).
Google Scholar
Motta, F. S. et al. Effects of marine protected areas under different management regimes in a hot spot of biodiversity and cumulative impacts from SW Atlantic. Reg. Stud. Mar. Sci. 47, 101951 (2021).
Google Scholar
Agardy, T., di Sciara, G. N. & Christie, P. Mind the gap: Addressing the shortcomings of marine protected areas through large scale marine spatial planning. Mar. Policy 35, 226–232 (2011).
Google Scholar
Shucksmith, R. J. & Kelly, C. Data collection and mapping—Principles, processes and application in marine spatial planning. Mar. Policy 50, 27–33 (2014).
Google Scholar
Queffelec, B. et al. Marine spatial planning and the risk of ocean grabbing in the tropical Atlantic. ICES J. Mar. Sci. 78, 1196–1208 (2021).
Google Scholar
Rubio-Cisneros, N. T. et al. Poor fisheries data, many fishers, and increasing tourism development: Interdisciplinary views on past and current small-scale fisheries exploitation on Holbox Island. Mar. Policy 100, 8–20 (2019).
Google Scholar
Samhouri, J. F., Haupt, A. J., Levin, P. S., Link, J. S. & Shuford, R. Lessons learned from developing integrated ecosystem assessments to inform marine ecosystem-based management in the USA. ICES J. Mar. Sci. 71, 1205–1215 (2014).
Google Scholar
Long, R. D., Charles, A. & Stephenson, R. L. Key principles of marine ecosystem-based management. Mar. Policy 57, 53–60 (2015).
Google Scholar
Hewitt, J. E., Anderson, M. J. & Thrush, S. F. Assessing and monitoring ecological community health in marine systems. Ecol. Appl. 15, 942–953 (2005).
Google Scholar
Caselle, J. E., Rassweiler, A., Hamilton, S. L. & Warner, R. R. Recovery trajectories of kelp forest animals are rapid yet spatially variable across a network of temperate marine protected areas. Sci. Rep. 5, 1–14 (2015).
Google Scholar
Díaz-Pérez, L. et al. Coral Reef Health Indices versus the Biological, Ecological and Functional Diversity of Fish and Coral Assemblages in the Caribbean Sea. PLoS One 11, e0161812 (2016).
Google Scholar
Topor, Z. M., Rasher, D. B., Duffy, J. E. & Brandl, S. J. Marine protected areas enhance coral reef functioning by promoting fish biodiversity. Conserv. Lett. 12, e12638 (2019).
Google Scholar
Pennino, M. G. et al. Fishery-dependent and -independent data lead to consistent estimations of essential habitats. ICES J. Mar. Sci. 73, 2302–2310 (2016).
Google Scholar
Hilborn, R. & Walters, C. J. Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty (Springer Science and Business Media, 2013).
Bohnsack, J. A. & Bannerot, S. P. A stationary visual census technique for quantitatively assessing community structure of coral reef fishes (1986).
Jones, R. S. & Thompson, M. J. Comparison of Florida reef fish assemblages using a rapid visual technique. Bull. Mar. Sci. 28, 159–172 (1978).
Kimmel, J. J. A new species-time method for visual assessment of fishes and its comparison with established methods. Environ. Biol. Fishes 12, 23–32 (1985).
Google Scholar
Michalopoulos, C., Auster, P. J. & Malatesta, R. J. A comparison of transect and species-time counts for assessing faunal abundance from video surveys. Mar. Technol. Soc. J. 26, 27–31 (1992).
Gray, J. S., Ugland, K. I. & Lambshead, J. Species accumulation and species area curves: A comment on Scheiner (2003). Glob. Ecol. Biogeogr. 13, 473–476 (2004).
Google Scholar
Mallet, D. & Pelletier, D. Underwater video techniques for observing coastal marine biodiversity: A review of sixty years of publications (1952–2012). Fish. Res. 154, 44–62 (2014).
Google Scholar
Langlois, T. J. et al. Cost-efficient sampling of fish assemblages: Comparison of baited video stations and diver video transects. Aquat. Biol. 9, 155–168 (2010).
Google Scholar
Logan, J. M., Young, M. A., Harvey, E. S., Schimel, A. C. G. & Ierodiaconou, D. Combining underwater video methods improves effectiveness of demersal fish assemblage surveys across habitats. Mar. Ecol. Prog. Ser. 582, 181–200 (2017).
Google Scholar
Koslow, J. A. The role of acoustics in ecosystem-based fishery management. ICES J. Mar. Sci. 66, 966–973 (2009).
Google Scholar
Bertrand, A. et al. Broad impacts of fine-scale dynamics on seascape structure from zooplankton to seabirds. Nat. Commun. 5, 1–9 (2014).
Google Scholar
Benoit-Bird, K. J. & Lawson, G. L. Ecological insights from pelagic habitats acquired using active acoustic techniques. Annu. Rev. Mar. Sci. 8, 463–490 (2016).
Google Scholar
Sutton, T. T. Vertical ecology of the pelagic ocean: Classical patterns and new perspectives. J. Fish Biol. 83, 1508–1527 (2013).
Google Scholar
McClatchie, S., Thorne, R. E., Grimes, P. & Hanchet, S. Ground truth and target identification for fisheries acoustics. Fish. Res. 47, 173–191 (2000).
Google Scholar
Cappo, M., Speare, P. & De’ath, G. Comparison of baited remote underwater video stations (BRUVS) and prawn (shrimp) trawls for assessments of fish biodiversity in inter-reefal areas of the Great Barrier Reef Marine Park. J. Exp. Mar. Biol. Ecol. 302, 123–152 (2004).
Google Scholar
Harvey, E. S., Cappo, M., Butler, J. J., Hall, N. & Kendrick, G. A. Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure. Mar. Ecol. Prog. Ser. 350, 245–254 (2007).
Google Scholar
Fitzpatrick, B. M., Harvey, E. S., Heyward, A. J., Twiggs, E. J. & Colquhoun, J. Habitat specialization in tropical continental shelf demersal fish assemblages. PLoS One 7, e39634 (2012).
Google Scholar
Rooper, C. N., Hoff, G. R. & De Robertis, A. Assessing habitat utilization and rockfish (Sebastes spp.) biomass on an isolated rocky ridge using acoustics and stereo image analysis. Can. J. Fish. Aquat. Sci. 67, 1658–1670 (2010).
Google Scholar
Jones, D. et al. Evaluation of rockfish abundance in untrawlable habitat: Combining acoustic and complementary sampling tools (2012).
O’Driscoll, R. L. et al. Species identification in seamount fish aggregations using moored underwater video. ICES J. Mar. Sci. 69, 648–659 (2012).
Google Scholar
Fernandes, P. G., Copland, P., Garcia, R., Nicosevici, T. & Scoulding, B. Additional evidence for fisheries acoustics: Small cameras and angling gear provide tilt angle distributions and other relevant data for mackerel surveys. ICES J. Mar. Sci. 73, 2009–2019 (2016).
Google Scholar
Gastauer, S., Scoulding, B. & Parsons, M. An unsupervised acoustic description of fish schools and the seabed in three fishing regions within the Northern Demersal Scalefish Fishery (NDSF, Western Australia). Acoust. Aust. 45, 363–380 (2017).
Google Scholar
Blanluet, A. et al. Characterization of sound scattering layers in the Bay of Biscay using broadband acoustics, nets and video. PLoS One 14, e0223618 (2019).
Google Scholar
Campanella, F. & Taylor, J. C. Investigating acoustic diversity of fish aggregations in coral reef ecosystems from multifrequency fishery sonar surveys. Fish. Res. 181, 63–76 (2016).
Google Scholar
Domokos, R. On the development of acoustic descriptors for semi-demersal fish identification to support monitoring stocks. ICES J. Mar. Sci. 78, 1117–1130 (2021).
Google Scholar
Villalobos, H. et al. A practical approach to monitoring marine protected areas: An application to El Bajo Espíritu Santo Seamount near La Paz, Mexico. Oceanography 34, 32–43 (2021).
Google Scholar
Hazin, F. H., Zagaglia, J. R., Broadhurst, M. K., Travassos, P. E. P. & Bezerra, T. R. Q. Review of a small-scale pelagic longline fishery off northeastern Brazil. Mar. Fish. Rev. 60, 1–8 (1998).
Lessa, R. P. et al. Distribution and abundance of ichthyoneuston at seamounts and islands off north-eastern Brazil. Arch. Fish. Mar. Res. 47, 239–252 (1999).
Dominguez, P. S., Zeineddine, G. C., Rotundo, M. M., Barrella, W. & Ramires, M. A pesca artesanal no arquipélago de Fernando de Noronha (PE). Bol. Inst. Pesca 42, 241–251 (2014).
Google Scholar
Lopes, P. F. M., Mendes, L., Fonseca, V. & Villasante, S. Tourism as a driver of conflicts and changes in fisheries value chains in Marine Protected Areas. J. Environ. Manag. 200, 123–134 (2017).
Google Scholar
Outeiro, L., Rodrigues, J. G., Damásio, L. M. A. & Lopes, P. F. M. Is it just about the money? A spatial-economic approach to assess ecosystem service tradeoffs in a marine protected area in Brazil. Ecosyst. Serv. 38, 100959 (2019).
Google Scholar
Garla, R. C., Chapman, D. D., Wetherbee, B. M. & Shivji, M. Movement patterns of young Caribbean reef sharks, Carcharhinus perezi, at Fernando de Noronha Archipelago, Brazil: The potential of marine protected areas for conservation of a nursery ground. Mar. Biol. 149, 189–199 (2006).
Google Scholar
Bertrand, A. FAROFA 1 cruise. RV TUBARAO Tigre. https://doi.org/10.17600/18001399 (2017).
Google Scholar
Bertrand, A. FAROFA 2 cruise. RV TUBARAO Tigre. https://doi.org/10.17600/18001411 (2018).
Google Scholar
Bertrand, A. FAROFA 3 cruise. RV TUBARAO Tigre. https://doi.org/10.17600/18001381 (2019).
Google Scholar
Bertrand, A. et al. Acoustic data from FAROFA surveys, 2017-09-15 to 2019-04-22. https://doi.org/10.17882/71024 (2020).
Salvetat, J. et al. Underwater video observations from FAROFA surveys, 2017-09-15 to 2019-04-22. https://doi.org/10.17882/76019 (2020).
Pawlowicz, R. M_Map: A mapping package for MATLAB, version 1.4 m (computer software) (2020).
Péter, A. Solomon Coder: The Concept of Behavioral Elements, Categories and the Representation of Data in Solomon Coder (2019).
Priede, I. G., Bagley, P. M., Smith, A., Creasey, S. & Merrett, N. R. Scavenging deep demersal fishes of the Porcupine Seabight, north-east Atlantic: Observations by baited camera, trap and trawl. J. Mar. Biol. Assoc. U. K. 74, 481–498 (1994).
Google Scholar
McQuinn, I. H. et al. Description of the ICES HAC standard data exchange format, version 1.60 (Conseil international pour l’exploration de la mer, 2005).
Trenkel, V. M. et al. Overview of recent progress in fisheries acoustics made by Ifremer with examples from the Bay of Biscay. Aquat. Living Resour. 22, 433–445 (2009).
Google Scholar
Perrot, Y. et al. Matecho: An open-source tool for processing fisheries acoustics data. Acoust. Aust. 46, 241–248 (2018).
Google Scholar
Salvetat, J. et al. In situ target strength measurement of the black triggerfish Melichthys niger and the ocean triggerfish Canthidermis sufflamen. Mar. Freshw. Res. 71, 1118–1127 (2020).
Google Scholar
Lavery, A. C. et al. Determining dominant scatterers of sound in mixed zooplankton populations. J. Acoust. Soc. Am. 122, 3304–3326 (2007).
Google Scholar
MacLennan, D. N., Fernandes, P. G. & Dalen, J. A consistent approach to definitions and symbols in fisheries acoustics. ICES J. Mar. Sci. 59, 365–369 (2002).
Google Scholar
Barros, M. J. G. Analises da Ictiofauna marinha e habitats associados atraves de videos subaquatica. (Universidade Federal de Pernambuco, 2020).
Sazima, C., Bonaldo, R. M., Krajewski, J. P. & Sazima, I. The Noronha wrasse: A jack-of-all-trades follower. Aqua J. Ichthyol. Aquat. Biol. 9, 97–108 (2005).
Soto, J. M. R. Peixes do arquipélago Fernando de Noronha. Mare Magnum 1, 147–169 (2001).
Krajewski, J. P. & Floeter, S. R. Reef fish community structure of the Fernando de Noronha Archipelago (Equatorial Western Atlantic): The influence of exposure and benthic composition. Environ. Biol. Fishes 92, 25 (2011).
Google Scholar
Sazima, I., Sazima, C. & da Silva-Jr, J. M. Fishes associated with spinner dolphins at Fernando de Noronha Archipelago, tropical Western Atlantic: An update and overview. Neotropical Ichthyol. 4, 451–455 (2006).
Google Scholar
Petitgas, P. Use of a disjunctive kriging to model areas of high pelagic fish density in acoustic fisheries surveys. Aquat. Living Resour. 6, 201–209 (1993).
Google Scholar
Chiles, J.-P. & Delfiner, P. Geostatistics: Modeling Spatial Uncertainty Vol. 497 (Wiley, 2009).
Google Scholar
Bez, N. & Braham, C.-B. Indicator variables for a robust estimation of an acoustic index of abundance. Can. J. Fish. Aquat. Sci. 71, 709–718 (2014).
Google Scholar
Switzer, P. Min/max autocorrelation factors for multivariate spatial imagery. Comput. Sci. Stat. (1985).
Bez, N. Global estimation based on indicators factorization (2021).
Assunção, R. V., Silva, A. C., Martins, J. & Montes, M. F. Spatial-temporal variability of the thermohaline properties in the coastal region of Fernando de Noronha Archipelago, Brazil. J. Coast. Res. 75, 512–517 (2016).
Google Scholar
da Silva, A. C. et al. Surface circulation and vertical structure of upper ocean variability around Fernando de Noronha archipelago and Rocas atoll during spring 2015 and fall 2017. Front. Mar. Sci. 8, 598101 (2021).
Google Scholar
Breiman, L., Friedman, J., Olshen, R. & Stone, C. Classification and regression trees. Wadsworth Int. Group 37, 237–251 (1984).
Google Scholar
Therneau, T., Atkinson, B., Ripley, B. & Ripley, M. B. Package ‘rpart’. Available Online Cran Ma Ic Ac Ukwebpackagesrpartrpart Pdf Accessed 20 April 2016 (2015).
Kuhnert, P. M., Duffy, L. M., Young, J. W. & Olson, R. J. Predicting fish diet composition using a bagged classification tree approach: A case study using yellowfin tuna (Thunnus albacares). Mar. Biol. 159, 87–100 (2012).
Google Scholar
Breiman, L. Bagging predictors. Mach. Learn. 24, 123–140 (1996).
Google Scholar
Kuhnert, P. M., Henderson, A.-K., Bartley, R. & Herr, A. Incorporating uncertainty in gully erosion calculations using the random forests modelling approach. Environmetrics 21, 493–509 (2010).
Google Scholar
Kuhnert, P. M. & Mengersen, K. Reliability measures for local nodes assessment in classification trees. J. Comput. Graph. Stat. 12, 398–416 (2003).
Google Scholar
R Core Team. R: A language and environment for statistical computing (2020).
ParisTech, M. ARMINES: RGeostats: The Geostatistical R Package (2020).
Kahle, D. J. & Wickham, H. ggmap: Spatial visualization with ggplot2. R J 5, 144 (2013).
Google Scholar
Pimentel, C. R. et al. Mesophotic ecosystems at Fernando de Noronha Archipelago, Brazil (South-western Atlantic), reveal unique ichthyofauna and need for conservation. Neotropical Ichthyol. 18 (2020).
Ilarri, M. I., Souza, A. T. & Rosa, R. S. Community structure of reef fishes in shallow waters of the Fernando de Noronha archipelago: Effects of different levels of environmental protection. Mar. Freshw. Res. 68, 1303–1316 (2017).
Google Scholar
Schmid, K. et al. First fish fauna assessment in the Fernando de Noronha Archipelago with BRUVS: Species catalog with underwater imagery. Biota Neotropica 20 (2020).
de Araújo, M. E. et al. Diversity patterns of reef fish along the Brazilian tropical coast. Mar. Environ. Res. 160, 105038 (2020).
Google Scholar
Krajewski, J. P., Floeter, S. R., Jones, G. P. & Leite, F. P. Patterns of variation in behaviour within and among reef fish species on an isolated tropical island: Influence of exposure and substratum. J. Mar. Biol. Assoc. U. K. 91, 1359–1368 (2011).
Google Scholar
Mendes, T. C., Quimbayo, J. P., Bouth, H. F., Silva, L. P. & Ferreira, C. E. The omnivorous triggerfish Melichthys niger is a functional herbivore on an isolated Atlantic oceanic island. J. Fish Biol. 95, 812–819 (2019).
Google Scholar
Petitgas, P. & Levenez, J. J. Spatial organization of pelagic fish: Echogram structure, spatio-temporal condition, and biomass in Senegalese waters. ICES J. Mar. Sci. 53, 147–153 (1996).
Google Scholar
Burgos, J. M. & Horne, J. K. Characterization and classification of acoustically detected fish spatial distributions. ICES J. Mar. Sci. 65, 1235–1247 (2008).
Google Scholar
Russ, G. R. Grazer biomass correlates more strongly with production than with biomass of algal turfs on a coral reef. Coral Reefs 22, 63–67 (2003).
Google Scholar
Friedlander, A. M. & Parrish, J. D. Habitat characteristics affecting fish assemblages on a Hawaiian coral reef. J. Exp. Mar. Biol. Ecol. 224, 1–30 (1998).
Google Scholar
Munday, P. L. Does habitat availability determine geographical-scale abundances of coral-dwelling fishes?. Coral Reefs 21, 105–116 (2002).
Google Scholar
Martins, K. et al. Assessing trophic interactions between pelagic predatory fish by gut content and stable isotopes analysis around Fernando de Noronha Archipelago (Brazil), Equatorial West Atlantic. J. Fish Biol. 99, 1576–1590 (2021).
Google Scholar
Costa, B., Taylor, J. C., Kracker, L., Battista, T. & Pittman, S. Mapping reef fish and the seascape: Using acoustics and spatial modeling to guide coastal management. PLoS One 9, e85555 (2014).
Google Scholar
Kavanagh, K. D. & Olney, J. E. Ecological correlates of population density and behavior in the circumtropical black triggerfish Melichthys niger (Balistidae). Environ. Biol. Fishes 76, 387–398 (2006).
Google Scholar
Lubbock, R. The shore fishes of Ascension Island. J. Fish Biol. 17, 283–303 (1980).
Google Scholar
Price, J. H. & John, D. M. Ascension Island, South Atlantic: A survey of inshore benthic macroorganisms, communities and interactions. Aquat. Bot. 9, 251–278 (1980).
Google Scholar
Robertson, D. R. & Allen, G. R. Zoogeography of the shorefish fauna of Clipperton Atoll. Coral Reefs 15, 121–131 (1996).
Google Scholar
Gasparini, J. L. & Floeter, S. R. The shore fishes of Trindade Island, western south Atlantic. J. Nat. Hist. 35, 1639–1656 (2001).
Google Scholar
Lubbock, R. & Edwards, A. The fishes of Saint Paul’s rocks. J. Fish Biol. 18, 135–157 (1981).
Google Scholar
Feitoza, B. M., Rocha, L. A., Luiz-Júnior, O. J., Floeter, S. R. & Gasparini, J. L. Reef fishes of St. Paul’s Rocks: New records and notes on biology and zoogeography. Aqua 7, 61–82 (2003).
Ferreira, C. E. L., Floeter, S. R., Gasparini, J. L., Ferreira, B. P. & Joyeux, J. C. Trophic structure patterns of Brazilian reef fishes: A latitudinal comparison. J. Biogeogr. 31, 1093–1106 (2004).
Google Scholar
Floeter, S. R. et al. Atlantic reef fish biogeography and evolution. J. Biogeogr. 35, 22–47 (2008).
Morais, R. A., Ferreira, C. E. L. & Floeter, S. R. Spatial patterns of fish standing biomass across Brazilian reefs. J. Fish Biol. 91, 1642–1667 (2017).
Google Scholar
Walsh, W. J. Patterns of recruitment and spawning in Hawaiian reef fishes. Environ. Biol. Fishes 18, 257–276 (1987).
Google Scholar
Walsh, W. J. Aspects of Nocturnal Shelter, Habitat Space, and Juvenile Recruitment in Hawaiian Coral Reef Fishes (University of Hawaii, 1984).
Caldeira, R. M. A., Groom, S., Miller, P., Pilgrim, D. & Nezlin, N. P. Sea-surface signatures of the island mass effect phenomena around Madeira Island, Northeast Atlantic. Remote Sens. Environ. 80, 336–360 (2002).
Google Scholar
Martinez, E. & Maamaatuaiahutapu, K. Island mass effect in the Marquesas Islands: Time variation. Geophys. Res. Lett. 31, 18 (2004).
Google Scholar
Messié, M. et al. The delayed island mass effect: How islands can remotely trigger blooms in the oligotrophic ocean. Geophys. Res. Lett. 47, e2019GL085282 (2020).
Google Scholar
de Souza, C. S., da Luz, J. A. G., Macedo, S., de Montes, M. J. F. & Mafalda, P. Chlorophyll a and nutrient distribution around seamounts and islands of the tropical south-western Atlantic. Mar. Freshw. Res. 64, 168–184 (2013).
Google Scholar
Travassos, P., Hazin, F. H., Zagaglia, J. R., Advíncula, R. & Schober, J. Thermohaline structure around seamounts and islands off North-Eastern Brazil. Arch. Fish. Mar. Res. 47, 211–222 (1999).
Bakun, A. Ocean triads and radical interdecadal variation: Bane and boon to scientific fisheries management. in Reinventing fisheries management 331–358 (Springer, 1998).
Agostini, V. N. & Bakun, A. ‘Ocean triads’ in the Mediterranean Sea: Physical mechanisms potentially structuring reproductive habitat suitability (with example application to European anchovy, Engraulis encrasicolus). Fish. Oceanogr. 11, 129–142 (2002).
Google Scholar
Hamner, W. M., Jones, M. S., Carleton, J. H., Hauri, I. R. & Williams, D. M. Zooplankton, planktivorous fish, and water currents on a windward reef face: Great Barrier Reef, Australia. Bull. Mar. Sci. 42, 459–479 (1988).
Valenzuela, J., Bellwood, D. & Morais, R. Ontogenetic habitat shifts in fusiliers (Lutjanidae): Evidence from Caesio cuning at Lizard Island, Great Barrier Reef. Coral Reefs 40, 1687–1696 (2021).
Google Scholar
Curley, B. G., Kingsford, M. J. & Gillanders, B. M. Spatial and habitat-related patterns of temperate reef fish assemblages: Implications for the design of Marine Protected Areas. Mar. Freshw. Res. 53, 1197–1210 (2002).
Google Scholar
Ferrari, R. et al. Habitat structural complexity metrics improve predictions of fish abundance and distribution. Ecography 41, 1077–1091 (2018).
Google Scholar
Maida, M. & Ferreira, B. P. Coral reefs of Brazil: An overview. in Proceedings of the 8th International Coral Reef Symposium Vol. 1 74 (Smithsonian Tropical Research Institute Panamá, 1997).
Pittman, S. J., Costa, B. M. & Battista, T. A. Using lidar bathymetry and boosted regression trees to predict the diversity and abundance of fish and corals. J. Coast. Res. 2009, 27–38 (2009).
Google Scholar
Costa, T. Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS. (Universidade Federal Rural de Pernambuco, 2019).
Spalding, M. D. et al. Marine ecoregions of the world: A bioregionalization of coastal and shelf areas. Bioscience 57, 573–583 (2007).
Google Scholar
Claudet, J., Pelletier, D., Jouvenel, J.-Y., Bachet, F. & Galzin, R. Assessing the effects of marine protected area (MPA) on a reef fish assemblage in a northwestern Mediterranean marine reserve: Identifying community-based indicators. Biol. Conserv. 130, 349–369 (2006).
Google Scholar
Caveen, A. J., Gray, T. S., Stead, S. M. & Polunin, N. V. C. MPA policy: What lies behind the science?. Mar. Policy 37, 3–10 (2013).
Google Scholar
Hernández, C. M. et al. Evidence and patterns of tuna spawning inside a large no-take Marine Protected Area. Sci. Rep. 9, 1–11 (2019).
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