Changing windows of opportunity: past and future climate-driven shifts in temporal persistence of kingfish (Seriola lalandi) oceanographic habitat within south-eastern Australian bioregions
Curtis Champion A B D , Alistair J. Hobday B C , Xuebin Zhang B , Gretta T. Pecl A C and Sean R. Tracey A
+ Author Affiliations
- Author Affiliations
A Institute for Marine and Antarctic Studies, Hobart, Tas. 7001, Australia.
B CSIRO Oceans and Atmosphere, Hobart, Tas. 7000, Australia.
C Centre for Marine Socioecology, Hobart, Tas. 7001, Australia.
D Corresponding author. Email: curtis.champion@utas.edu.au
Marine and Freshwater Research 70(1) 33-42 https://doi.org/10.1071/MF17387
Submitted: 20 December 2017 Accepted: 20 March 2018 Published: 18 June 2018
Abstract
Climate-driven shifts in species distributions are occurring rapidly within marine systems and are predicted to continue under climate change. To effectively adapt, marine resource users require information relevant to their activities at decision-making timescales. We model oceanographic habitat suitability for kingfish (Seriola lalandi) from south-eastern Australia using multiple environmental variables at monthly time steps over the period 1996–2040. Habitat predictions were used to quantify the temporal persistence (months per year) of suitable oceanographic habitat within six coastal bioregions. A decline in temporal habitat persistence is predicted for the northernmost (equatorward) bioregion, whereas increases are predicted for the three southernmost (poleward) bioregions. We suggest that temporal habitat persistence is an important metric for climate change adaptation because it provides fishery-relevant information. Our methods demonstrate how novel metrics relevant to climate adaptation can be derived from predictions of species’ environmental habitats, and are appropriate for the management of fisheries resources and protection of high conservation value species under future climate change.
Additional keywords: climate change, fisheries adaptation, fisheries management, global change, habitat suitability model, species distribution model, species redistribution.
References
Araújo, M. B., Pearson, R. G., Thuiller, W., and Erhard, M. (2005). Validation of species–climate impact models under climate change. Global Change Biology 11, 1504–1513.| Validation of species–climate impact models under climate change.Crossref | GoogleScholarGoogle Scholar |
Atlas of Living Australia (2017). Seriola lalandi Valenciennes 1833 – Yellowtail Kingfish. (ALA, NCRIS and CSIRO) Available at https://bie.ala.org.au/species/urn:lsid:biodiversity.org.au:afd.taxon:dda3f9dd-1eed-45b4-bc04-63da84216fbf [Verified 19 April 2018].
Bailey, S.-A., Haines-Young, R., and Watkins, C. (2002). Species presence in fragmented landscapes: modelling of species requirements at the national level. Biological Conservation 108, 307–316.
| Species presence in fragmented landscapes: modelling of species requirements at the national level.Crossref | GoogleScholarGoogle Scholar |
Barbet‐Massin, M., Jiguet, F., Albert, C. H., and Thuiller, W. (2012). Selecting pseudo‐absences for species distribution models: how, where and how many? Methods in Ecology and Evolution 3, 327–338.
| Selecting pseudo‐absences for species distribution models: how, where and how many?Crossref | GoogleScholarGoogle Scholar |
Bates, A. E., Pecl, G. T., Frusher, S., Hobday, A. J., Wernberg, T., Smale, D. A., Sunday, J. M., Hill, N. A., Dulvy, N. K., and Colwell, R. K. (2014). Defining and observing stages of climate-mediated range shifts in marine systems. Global Environmental Change 26, 27–38.
| Defining and observing stages of climate-mediated range shifts in marine systems.Crossref | GoogleScholarGoogle Scholar |
Briscoe, D. K., Hobday, A. J., Carlisle, A., Scales, K., Eveson, J. P., Arrizabalaga, H., Druon, J. N., and Fromentin, J.-M. (2017). Ecological bridges and barriers in pelagic ecosystems. Deep Sea Research – II. Topical Studies in Oceanography 140, 182–192.
| Ecological bridges and barriers in pelagic ecosystems.Crossref | GoogleScholarGoogle Scholar |
Brodie, S., Hobday, A. J., Smith, J. A., Everett, J. D., Taylor, M. D., Gray, C. A., and Suthers, I. M. (2015). Modelling the oceanic habitats of two pelagic species using recreational fisheries data. Fisheries Oceanography 24, 463–477.
| Modelling the oceanic habitats of two pelagic species using recreational fisheries data.Crossref | GoogleScholarGoogle Scholar |
Brodie, S., Hobday, A. J., Smith, J. A., Spillman, C. M., Hartog, J. R., Everett, J. D., Taylor, M. D., Gray, C. A., and Suthers, I. M. (2017). Seasonal forecasting of dolphinfish distribution in eastern Australia to aid recreational fishers and managers. Deep Sea Research – II. Topical Studies in Oceanography 140, 222–229.
| Seasonal forecasting of dolphinfish distribution in eastern Australia to aid recreational fishers and managers.Crossref | GoogleScholarGoogle Scholar |
Brook, B. W., Akçakaya, H. R., Keith, D. A., Mace, G. M., Pearson, R. G., and Araújo, M. B. (2009). Integrating bioclimate with population models to improve forecasts of species extinctions under climate change. Biology Letters 5, 723–725.
| Integrating bioclimate with population models to improve forecasts of species extinctions under climate change.Crossref | GoogleScholarGoogle Scholar |
Cai, W., Shi, G., Cowan, T., Bi, D., and Ribbe, J. (2005). The response of the Southern Annular Mode, the East Australian Current, and the southern mid‐latitude ocean circulation to global warming. Geophysical Research Letters 32, L23706.
| The response of the Southern Annular Mode, the East Australian Current, and the southern mid‐latitude ocean circulation to global warming.Crossref | GoogleScholarGoogle Scholar |
Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B., and Thomas, C. D. (2011). Rapid range shifts of species associated with high levels of climate warming. Science 333, 1024–1026.
| Rapid range shifts of species associated with high levels of climate warming.Crossref | GoogleScholarGoogle Scholar |
Cheung, W. W., Lam, V. W., Sarmiento, J. L., Kearney, K., Watson, R., Zeller, D., and Pauly, D. (2010). Large‐scale redistribution of maximum fisheries catch potential in the global ocean under climate change. Global Change Biology 16, 24–35.
| Large‐scale redistribution of maximum fisheries catch potential in the global ocean under climate change.Crossref | GoogleScholarGoogle Scholar |
Dempster, T. (2004). Biology of fish associated with moored fish aggregation devices (FADs): implications for the development of a FAD fishery in New South Wales, Australia. Fisheries Research 68, 189–201.
| Biology of fish associated with moored fish aggregation devices (FADs): implications for the development of a FAD fishery in New South Wales, Australia.Crossref | GoogleScholarGoogle Scholar |
Elith, J., Kearney, M., and Phillips, S. (2010). The art of modelling range‐shifting species. Methods in Ecology and Evolution 1, 330–342.
| The art of modelling range‐shifting species.Crossref | GoogleScholarGoogle Scholar |
Eveson, J. P., Hobday, A. J., Hartog, J. R., Spillman, C. M., and Rough, K. M. (2015). Seasonal forecasting of tuna habitat in the Great Australian Bight. Fisheries Research 170, 39–49.
| Seasonal forecasting of tuna habitat in the Great Australian Bight.Crossref | GoogleScholarGoogle Scholar |
Folpp, H., and Lowry, M. (2006). Factors affecting recreational catch rates associated with a fish aggregating device (FAD) off the NSW coast, Australia. Bulletin of Marine Science 78, 185–193.
Franklin, J. (2010). Moving beyond static species distribution models in support of conservation biogeography. Diversity & Distributions 16, 321–330.
| Moving beyond static species distribution models in support of conservation biogeography.Crossref | GoogleScholarGoogle Scholar |
Gillanders, B. M., Ferrell, D. J., and Andrew, N. L. (2001). Estimates of movement and life-history parameters of yellowtail kingfish (Seriola lalandi): how useful are data from a cooperative tagging programme? Marine and Freshwater Research 52, 179–192.
| Estimates of movement and life-history parameters of yellowtail kingfish (Seriola lalandi): how useful are data from a cooperative tagging programme?Crossref | GoogleScholarGoogle Scholar |
Griffies, S. M., Schmidt, M., and Herzfeld, M. (2009). Elements of mom4p1. Ocean Group Technical Report 6, Geophysical Fluid Dynamics Laboratory. Available at http://data1.gfdl.noaa.gov/~arl/pubrel/r/mom4p1/src/mom4p1/doc/mom4p1_synopsis.pdf [Verified 19 April 2018].
Hartog, J., and Hobday, A. (2011). ‘SDODE: Spatial Dynamics Ocean Data Explorer. User Guide v3.’ (CSIRO Marine and Atmospheric Research: Hobart, Tas., Australia.)
Hartog, J. R., Hobday, A. J., Matear, R., and Feng, M. (2011). Habitat overlap between southern bluefin tuna and yellowfin tuna in the east coast longline fishery: implications for present and future spatial management. Deep-sea Research – II. Topical Studies in Oceanography 58, 746–752.
| Habitat overlap between southern bluefin tuna and yellowfin tuna in the east coast longline fishery: implications for present and future spatial management.Crossref | GoogleScholarGoogle Scholar |
Henry, W. H., and Lyle, J. M. (2003). ‘The National Recreational and Indigenous Fishing Survey.’ (Australian Government Department of Agriculture, Fisheries and Forestry: Canberra, ACT, Australia.)
Hill, N. A., Michael, K. P., Frazer, A., and Leslie, S. (2010). The utility and risk of local ecological knowledge in developing stakeholder driven fisheries management: the Foveaux Strait dredge oyster fishery, New Zealand. Ocean and Coastal Management 53, 659–668.
| The utility and risk of local ecological knowledge in developing stakeholder driven fisheries management: the Foveaux Strait dredge oyster fishery, New Zealand.Crossref | GoogleScholarGoogle Scholar |
Hill, N. J., Tobin, A. J., Reside, A. E., Pepperell, J. G., and Bridge, T. C. (2016). Dynamic habitat suitability modelling reveals rapid poleward distribution shift in a mobile apex predator. Global Change Biology 22, 1086–1096.
| Dynamic habitat suitability modelling reveals rapid poleward distribution shift in a mobile apex predator.Crossref | GoogleScholarGoogle Scholar |
Hobday, A., and Hartmann, K. (2006). Near real‐time spatial management based on habitat predictions for a longline bycatch species. Fisheries Management and Ecology 13, 365–380.
| Near real‐time spatial management based on habitat predictions for a longline bycatch species.Crossref | GoogleScholarGoogle Scholar |
Hobday, A. J., and Hartog, J. R. (2014). Derived ocean features for dynamic ocean management. Oceanography 27, 134–145.
| Derived ocean features for dynamic ocean management.Crossref | GoogleScholarGoogle Scholar |
Hobday, A. J., and Pecl, G. T. (2014). Identification of global marine hotspots: sentinels for change and vanguards for adaptation action. Reviews in Fish Biology and Fisheries 24, 415–425.
| Identification of global marine hotspots: sentinels for change and vanguards for adaptation action.Crossref | GoogleScholarGoogle Scholar |
Hobday, A. J., Hartog, J. R., Spillman, C. M., and Alves, O. (2011). Seasonal forecasting of tuna habitat for dynamic spatial management. Canadian Journal of Fisheries and Aquatic Sciences 68, 898–911.
| Seasonal forecasting of tuna habitat for dynamic spatial management.Crossref | GoogleScholarGoogle Scholar |
Hobday, A. J., Maxwell, S. M., Forgie, J., and McDonald, J. (2013). Dynamic ocean management: integrating scientific and technological capacity with law, policy, and management. Stanford Environmental Law Journal 33, 125–165.
Hobday, A. J., Cochrane, K., Downey-Breedt, N., Howard, J., Aswani, S., Byfield, V., Duggan, G., Duna, E., Dutra, L. X., and Frusher, S. D. (2016a). Planning adaptation to climate change in fast-warming marine regions with seafood-dependent coastal communities. Reviews in Fish Biology and Fisheries 26, 249–264.
| Planning adaptation to climate change in fast-warming marine regions with seafood-dependent coastal communities.Crossref | GoogleScholarGoogle Scholar |
Hobday, A. J., Spillman, C. M., Paige Eveson, J., and Hartog, J. R. (2016b). Seasonal forecasting for decision support in marine fisheries and aquaculture. Fisheries Oceanography 25, 45–56.
| Seasonal forecasting for decision support in marine fisheries and aquaculture.Crossref | GoogleScholarGoogle Scholar |
Howell, E. A., Hoover, A., Benson, S. R., Bailey, H., Polovina, J. J., Seminoff, J. A., and Dutton, P. H. (2015). Enhancing the TurtleWatch product for leatherback sea turtles, a dynamic habitat model for ecosystem‐based management. Fisheries Oceanography 24, 57–68.
| Enhancing the TurtleWatch product for leatherback sea turtles, a dynamic habitat model for ecosystem‐based management.Crossref | GoogleScholarGoogle Scholar |
Interim Marine and Coastal Regionalisation for Australia Technical Group (1998). Interim Marine and Coastal Regionalisation for Australia: an ecosystem-based classification for marine and coastal environments, Version 3.3. (Commonwealth Department of the Environment. Canberra, ACT, Australia.) Available at http://nepc.gov.au/system/files/resources/378b7018-8f2a-8174-3928-2056b44bf9b0/files/anzecc-gl-imcra-ecosystembased-classification-marine-and-coastal-environments-199806.pdf [Verified 19 April 2018].
Kaplan, I. C., Williams, G. D., Bond, N. A., Hermann, A. J., and Siedlecki, S. A. (2016). Cloudy with a chance of sardines: forecasting sardine distributions using regional climate models. Fisheries Oceanography 25, 15–27.
| Cloudy with a chance of sardines: forecasting sardine distributions using regional climate models.Crossref | GoogleScholarGoogle Scholar |
Keith, D. A., Akçakaya, H. R., Thuiller, W., Midgley, G. F., Pearson, R. G., Phillips, S. J., Regan, H. M., Araújo, M. B., and Rebelo, T. G. (2008). Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biology Letters 4, 560–563.
| Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models.Crossref | GoogleScholarGoogle Scholar |
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi, K., Kamahori, H., Kobayashi, C., and Endo, H. (2015). The JRA-55 reanalysis: general specifications and basic characteristics. Journal of the Meteorological Society of Japan – II 93, 5–48.
| The JRA-55 reanalysis: general specifications and basic characteristics.Crossref | GoogleScholarGoogle Scholar |
Lewison, R. L., Freeman, S. A., and Crowder, L. B. (2004). Quantifying the effects of fisheries on threatened species: the impact of pelagic longlines on loggerhead and leatherback sea turtles. Ecology Letters 7, 221–231.
| Quantifying the effects of fisheries on threatened species: the impact of pelagic longlines on loggerhead and leatherback sea turtles.Crossref | GoogleScholarGoogle Scholar |
Ling, S. (2008). Range expansion of a habitat-modifying species leads to loss of taxonomic diversity: a new and impoverished reef state. Oecologia 156, 883–894.
| Range expansion of a habitat-modifying species leads to loss of taxonomic diversity: a new and impoverished reef state.Crossref | GoogleScholarGoogle Scholar |
Ling, S., and Johnson, C. (2009). Population dynamics of an ecologically important range-extender: kelp beds versus sea urchin barrens. Marine Ecology Progress Series 374, 113–125.
| Population dynamics of an ecologically important range-extender: kelp beds versus sea urchin barrens.Crossref | GoogleScholarGoogle Scholar |
Ling, S., Johnson, C., Ridgway, K., Hobday, A., and Haddon, M. (2009). Climate‐driven range extension of a sea urchin: inferring future trends by analysis of recent population dynamics. Global Change Biology 15, 719–731.
| Climate‐driven range extension of a sea urchin: inferring future trends by analysis of recent population dynamics.Crossref | GoogleScholarGoogle Scholar |
Liu, C., Berry, P. M., Dawson, T. P., and Pearson, R. G. (2005). Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28, 385–393.
| Selecting thresholds of occurrence in the prediction of species distributions.Crossref | GoogleScholarGoogle Scholar |
Lowry, M., Molony, B., Keag, M., and Penney, A. (2016). Yellowtail kingfish Seriola lalandi. (Fisheries Research and Development Corporation.) Available at http://fish.gov.au/reports/finfish/Pages/yellowtail_kingfish [Verified 29 July 2017].
Malcolm, H., and Scott, A. (2017). Range extensions in anemonefishes and host sea anemones in eastern Australia: potential constraints to tropicalisation. Marine and Freshwater Research 68, 1224–1232.
| Range extensions in anemonefishes and host sea anemones in eastern Australia: potential constraints to tropicalisation.Crossref | GoogleScholarGoogle Scholar |
Manel, S., Dias, J.-M., and Ormerod, S. J. (1999). Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird. Ecological Modelling 120, 337–347.
| Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird.Crossref | GoogleScholarGoogle Scholar |
Mellin, C., Lurgi, M., Matthews, S., MacNeil, M., Caley, M., Bax, N., Przeslawski, R., and Fordham, D. (2016). Forecasting marine invasions under climate change: biotic interactions and demographic processes matter. Biological Conservation 204, 459–467.
| Forecasting marine invasions under climate change: biotic interactions and demographic processes matter.Crossref | GoogleScholarGoogle Scholar |
Miller, P. A., Fitch, A. J., Gardner, M., Hutson, K. S., and Mair, G. (2011). Genetic population structure of yellowtail kingfish (Seriola lalandi) in temperate Australasian waters inferred from microsatellite markers and mitochondrial DNA. Aquaculture 319, 328–336.
| Genetic population structure of yellowtail kingfish (Seriola lalandi) in temperate Australasian waters inferred from microsatellite markers and mitochondrial DNA.Crossref | GoogleScholarGoogle Scholar |
Nimbs, M. J., Larkin, M., Davis, T. R., Harasti, D., Willan, R. C., and Smith, S. D. (2016). Southern range extensions for twelve heterobranch sea slugs (Gastropoda: Heterobranchia) on the eastern coast of Australia. Marine Biodiversity Records 9, 27.
| Southern range extensions for twelve heterobranch sea slugs (Gastropoda: Heterobranchia) on the eastern coast of Australia.Crossref | GoogleScholarGoogle Scholar |
Oke, P., Griffin, D., Schiller, A., Matear, R., Fiedler, R., Mansbridge, J., Lenton, A., Cahill, M., Chamberlain, M., and Ridgway, K. (2013). Evaluation of a near-global eddy-resolving ocean model. Geoscientific Model Development 6, 591.
| Evaluation of a near-global eddy-resolving ocean model.Crossref | GoogleScholarGoogle Scholar |
Payne, M. R., Hobday, A. J., MacKenzie, B. R., Tommasi, D., Dempsey, D. P., Fässler, S. M., Haynie, A. C., Ji, R., Liu, G., and Lynch, P. D. (2017). Lessons from the first generation of marine ecological forecast products. Frontiers of Materials Science 4, 289.
Pecl, G. T., Hobday, A. J., Frusher, S., Warwick, H., Sauer, H., and Bates, A. E. (2014a). Ocean warming hotspots provide early warning laboratories for climate change impacts. Reviews in Fish Biology and Fisheries 24, 409.
| Ocean warming hotspots provide early warning laboratories for climate change impacts.Crossref | GoogleScholarGoogle Scholar |
Pecl, G. T., Ward, T. M., Doubleday, Z. A., Clarke, S., Day, J., Dixon, C., Frusher, S., Gibbs, P., Hobday, A. J., and Hutchinson, N. (2014b). Rapid assessment of fisheries species sensitivity to climate change. Climatic Change 127, 505–520.
| Rapid assessment of fisheries species sensitivity to climate change.Crossref | GoogleScholarGoogle Scholar |
Pecl, G., Araujo, M., Bell, J., Blanchard, J., Bonebrake, T., Chen, I., Clark, T., Colwell, R., Danielsen, F., and Evengard, B. (2017). Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Science 355, eaai9214.
| Biodiversity redistribution under climate change: impacts on ecosystems and human well-being.Crossref | GoogleScholarGoogle Scholar |
Poloczanska, E. S., Brown, C. J., Sydeman, W. J., Kiessling, W., Schoeman, D. S., Moore, P. J., Brander, K., Bruno, J. F., Buckley, L. B., and Burrows, M. T. (2013). Global imprint of climate change on marine life. Nature Climate Change 3, 919–925.
| Global imprint of climate change on marine life.Crossref | GoogleScholarGoogle Scholar |
Ramos, J. E., Pecl, G. T., Semmens, J. M., Strugnell, J. M., León, R. I., and Moltschaniwskyj, N. A. (2015). Reproductive capacity of a marine species (Octopus tetricus) within a recent range extension area. Marine and Freshwater Research 66, 999–1008.
| Reproductive capacity of a marine species (Octopus tetricus) within a recent range extension area.Crossref | GoogleScholarGoogle Scholar |
Renner, I. W., Elith, J., Baddeley, A., Fithian, W., Hastie, T., Phillips, S. J., Popovic, G., and Warton, D. I. (2015). Point process models for presence‐only analysis. Methods in Ecology and Evolution 6, 366–379.
| Point process models for presence‐only analysis.Crossref | GoogleScholarGoogle Scholar |
Ridgway, K. (2007). Long‐term trend and decadal variability of the southward penetration of the East Australian Current. Geophysical Research Letters 34, L13613.
| Long‐term trend and decadal variability of the southward penetration of the East Australian Current.Crossref | GoogleScholarGoogle Scholar |
Ridgway, K., and Dunn, J. (2010). Using satellite altimetry to correct mean temperature and salinity fields derived from Argo floats in the ocean regions around Australia. Deep-sea Research – I. Oceanographic Research Papers 57, 1137–1151.
| Using satellite altimetry to correct mean temperature and salinity fields derived from Argo floats in the ocean regions around Australia.Crossref | GoogleScholarGoogle Scholar |
Robinson, L., Gledhill, D., Moltschaniwskyj, N., Hobday, A., Frusher, S., Barrett, N., Stuart-Smith, J., and Pecl, G. (2015). Rapid assessment of an ocean warming hotspot reveals ‘high’ confidence in potential species’ range extensions. Global Environmental Change 31, 28–37.
| Rapid assessment of an ocean warming hotspot reveals ‘high’ confidence in potential species’ range extensions.Crossref | GoogleScholarGoogle Scholar |
Scales, K. L., Miller, P. I., Hawkes, L. A., Ingram, S. N., Sims, D. W., and Votier, S. C. (2014). On the Front Line: frontal zones as priority at‐sea conservation areas for mobile marine vertebrates. Journal of Applied Ecology 51, 1575–1583.
| On the Front Line: frontal zones as priority at‐sea conservation areas for mobile marine vertebrates.Crossref | GoogleScholarGoogle Scholar |
Sloyan, B. M., and O’Kane, T. J. (2015). Drivers of decadal variability in the Tasman Sea. Journal of Geophysical Research. Oceans 120, 3193–3210.
| Drivers of decadal variability in the Tasman Sea.Crossref | GoogleScholarGoogle Scholar |
Sorte, C. J., Williams, S. L., and Carlton, J. T. (2010). Marine range shifts and species introductions: comparative spread rates and community impacts. Global Ecology and Biogeography 19, 303–316.
| Marine range shifts and species introductions: comparative spread rates and community impacts.Crossref | GoogleScholarGoogle Scholar |
Spillman, C. M., and Hobday, A. J. (2014). Dynamical seasonal ocean forecasts to aid salmon farm management in a climate hotspot. Climate Risk Management 1, 25–38.
| Dynamical seasonal ocean forecasts to aid salmon farm management in a climate hotspot.Crossref | GoogleScholarGoogle Scholar |
Stockwell, D. R., and Peterson, A. T. (2002). Effects of sample size on accuracy of species distribution models. Ecological Modelling 148, 1–13.
| Effects of sample size on accuracy of species distribution models.Crossref | GoogleScholarGoogle Scholar |
Stuart-Smith, J., Pecl, G., Pender, A., Tracey, S., Villanueva, C., and Smith-Vaniz, W. F. (2016). Southernmost records of two Seriola species in an Australian ocean-warming hotspot. Marine Biodiversity , .
| Southernmost records of two Seriola species in an Australian ocean-warming hotspot.Crossref | GoogleScholarGoogle Scholar |
Sunday, J. M., Pecl, G. T., Frusher, S., Hobday, A. J., Hill, N., Holbrook, N. J., Edgar, G. J., Stuart‐Smith, R., Barrett, N., and Wernberg, T. (2015). Species traits and climate velocity explain geographic range shifts in an ocean‐warming hotspot. Ecology Letters 18, 944–953.
| Species traits and climate velocity explain geographic range shifts in an ocean‐warming hotspot.Crossref | GoogleScholarGoogle Scholar |
Suthers, I. M., Young, J. W., Baird, M. E., Roughan, M., Everett, J. D., Brassington, G. B., Byrne, M., Condie, S. A., Hartog, J. R., and Hassler, C. S. (2011). The strengthening East Australian Current, its eddies and biological effects: an introduction and overview. Deep-sea Research – II. Topical Studies in Oceanography 58, 538–546.
| The strengthening East Australian Current, its eddies and biological effects: an introduction and overview.Crossref | GoogleScholarGoogle Scholar |
Taylor, K. E., Stouffer, R. J., and Meehl, G. A. (2012). An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society 93, 485–498.
| An overview of CMIP5 and the experiment design.Crossref | GoogleScholarGoogle Scholar |
van Putten, I. E., Frusher, S., Fulton, E. A., Hobday, A. J., Jennings, S. M., Metcalf, S., and Pecl, G. T. (2016). Empirical evidence for different cognitive effects in explaining the attribution of marine range shifts to climate change. ICES Journal of Marine Science 73, 1306–1318.
| Empirical evidence for different cognitive effects in explaining the attribution of marine range shifts to climate change.Crossref | GoogleScholarGoogle Scholar |
van Putten, I. E., Jennings, S., Hobday, A. J., Bustamante, R. H., Dutra, L. X., Frusher, S., Fulton, E. A., Haward, M., Plagányi, É., and Thomas, L. (2017). Recreational fishing in a time of rapid ocean change. Marine Policy 76, 169–177.
| Recreational fishing in a time of rapid ocean change.Crossref | GoogleScholarGoogle Scholar |
Vergés, A., Steinberg, P. D., Hay, M. E., Poore, A. G., Campbell, A. H., Ballesteros, E., Heck, K. L., Booth, D. J., Coleman, M. A., and Feary, D. A. (2014). The tropicalization of temperate marine ecosystems: climate-mediated changes in herbivory and community phase shifts. Proceedings of the Royal Society of London – B. Biological Sciences 281, 20142406.
Wernberg, T., Bennett, S., Babcock, R. C., de Bettignies, T., Cure, K., Depczynski, M., Dufois, F., Fromont, J., Fulton, C. J., and Hovey, R. K. (2016). Climate-driven regime shift of a temperate marine ecosystem. Science 353, 169–172.
| Climate-driven regime shift of a temperate marine ecosystem.Crossref | GoogleScholarGoogle Scholar |
Wu, L., Cai, W., Zhang, L., Nakamura, H., Timmermann, A., Joyce, T., McPhaden, M. J., Alexander, M., Qiu, B., and Visbeck, M. (2012). Enhanced warming over the global subtropical western boundary currents. Nature Climate Change 2, 161–166.
| Enhanced warming over the global subtropical western boundary currents.Crossref | GoogleScholarGoogle Scholar |
Zhang, X., Church, J. A., Monselesan, D., and McInnes, K. L. (2017). Sea‐level projections for the Australian region in the 21st century. Geophysical Research Letters 44, 8481–8491.
| Sea‐level projections for the Australian region in the 21st century.Crossref | GoogleScholarGoogle Scholar |
Zuur, A. F., Ieno, E. N., and Smith, G. M. (2007). ‘Analysing Ecological Data.’ (Springer: New York, NY, USA.)
