Mapping an ecosystem service: A quantitative approach to derive fish feeding ground maps

• Autorzy: Šiaulys, A. , Daunys, D. , Bučas, M. , Bacevičius, E.
• Języki publikacji: EN

Abstrakty

EN

This study presents a quantitative approach to mapping benthophagous fish feeding grounds. This approach combines the spatial biomass distribution of benthic prey items and their importance for the diets of predators. A point based biomass data of macrozoobenthos together with a set of environmental factors was used to develop Random Forests models that produce continuous biomass distribution layers for individual prey species. Depending on the diet composition and the importance of prey for fish feeding, these layers are overlaid and an integrated GIS map of the seabed showing the quality of feeding grounds is generated. These maps provide a useful basis for conservation and marine spatial planning. In addition, this method could be applied to the mapping of resources used by other benthophagous organisms. The method is presented using the example of three common Baltic fish species: cod, flounder and viviparous eelpout.

Słowa kluczowe

EN

Seabed quality; macrozoobenthos; fish diet; modelling; random forests; Baltic Sea

• Czasopismo: Oceanologia
• Rocznik: 2012
• Tom: No. 54 (3)
• Strony: 491-505
• Opis fizyczny: Bibliogr. 43 poz., tab., wykr.

Twórcy

autor

Šiaulys, A.

autor

Daunys, D.

autor

Bučas, M.

autor

Bacevičius, E.

• Coastal Research and Planning Institute, Klaipe.da University, Herkaus Manto 84, Klaipe.da 92294, Lithuania,

Bibliografia

• 1.Bendtsen J., Söderkvist J., Dahl K., Hansen J.L. S., Reker J., 2007, Model simulations of blue corridors in the Baltic Sea, BALANCE Interim Report No. 9.
• 2.Bitinas A., Aleksa P., Damušyte A., Gulbinskas S., Jarmalavičius D., Kuzavinis M., Minkevičius V., Pupienis D., Trimonis E., Šečkus R., Žaromskis R., Žilinskas G., 2004, Baltijos juros Lietuvos krantu geologinis atlasas, Lietuvos geologijos tarnyba, Vilnius, 95 pp.
• 3.Björnsson B., 1993, Swimming speed and swimming metabolism of Atlantic Cod (Gadus morhua) in relation to available food: A laboratory study, Can. J. Fish. Aquat. Sci., 50 (12), 2542-2551.
• 4.Booij N., Ris R.C., Holthuijsen L.H., 1999, A third-generation wave model for coastal regions. 1. Model description and validation, J. Geophys. Res., 104 (C4), 7649-7666.
• 5.Breiman L., 2001, Random forests, Mach. Learn., 45 (5), 32 pp.
• 6.Bromley P. J., 1994, The role of gastric evacuation experiments in quantifying the feeding rates of predatory fish, Rev. Fish. Biol. Fisher., 4 (1), 36-66.
• 7.Bubinas A., Ložys L., 2000, The Nutrition of fish in the Curonian Lagoon and the coastal zone of the Baltic Sea, Acta Zool. Lituan., 10 (4), 60-73.
• 8.Bučas M., Daunys D., Olenin S., 2009, Recent distribution and stock assessment of the red alga Furcellaria lumbricalis on an exposed Baltic Sea coast: combined use of field survey and modelling methods, Oceanologia, 51 (3), 1-19.
• 9.Collin A., Archambault P., Long B., 2011, Predicting species diversity of benthic communities within turbid nearshore using full-waveform bathymetric LiDAR and machine learners, PLoS ONE, 6 (6), e21265, doi:10.1371/journal.pone.0021265.
• 10.Didžiulis V., 1999, Pagrindines makrozoobentosiniu organizmu bendriju charakteristikos LEZ ir ju reikšme˙ upines plekšne˙s (Platichthys flesus trachurus) mitybai ir ju paplitimui, Pajurio regiono ekologija, 36-39.
• 11.Ellis J., Ysebaert T., Hume T., Norkko A., Bult T., Herman P., Thrush S., Oldman J., 2006, Predicting macrofaunal species distributions in estuarine gradients using logistic regression and classification systems, Mar. Ecol. Prog. Ser., 316, 69-83.
• 12.Gelumbauskaite L.Ž., Grigelis A., Cato I., Repečka M., Kjellin B., 1999, Bottom sediment maps of the central Baltic Sea, Scale 1:500,000. A short description, LGT Ser. Marine Geol. Maps No. 1, SGU Ser. Geol. Maps Ba No. 54, Vilnius-Uppsala.
• 13.Gogina M., Zettler M. L., 2010, Diversity and distribution of benthic macrofauna in the Baltic Sea: data inventory and its use for species distribution modeling and prediction, J. Sea Res., 64, 313-321.
• 14.Hansen I. S., Keul N., Sorensen J.T., Erichsen A., Andersen J.H., 2007, Baltic Sea oxygen maps, BALANCE Interim Report No. 17.
• 15.He P., 1991, Swimming endurance of the Atlantic cod, Gadus morhua L., at low temperatures, Fish. Res., 12 (1), 65-73.
• 16.Hiscock K., Tyler-Walters H., 2006, Assessing the sensitivity of seabed species and biotopes - the Marine Life Information Network (MarLIN), Hydrobiologia, 555 (1), 309-320, doi:10.1007/s10750-005-1127-z.
• 17.Hyslop E. J., 1980, Stomach contents analysis - a review of methods and their applications, J. Fish. Biol., 17 (4), 411-429, doi:10.1111/j.1095-8649.1980.tb02775.x.
• 18.Järvekülg A., 1979, Bottom fauna of the Eastern part of the Baltic Sea. (Donnaja fauna vosochnoj chasti Baltijskogo morja), Valgus, Tallinn, (in Russian), 324 pp.
• 19.Kremen C., Ostfeld R. S., 2005, A call to ecologists: measuring, analyzing, and managing ecosystem services, Front. Ecol. Environ., 3 (10), 540-548.
• 20.Liaw A., Wiener M., 2002, Classification and regression by random forest, R News, 2/3, 18-22.
• 21.Macdonald J. S., Waiwood K.G., Green R.H., 1982, Rates of digestion of different prey in Atlantic cod (Gadus morhua), ocean pout (Macrozoarces americanus), winter flounder (Pseudopleuronectes americanus), and American plaice (Hippoglossoides platessoides), Can. J. Fish. Aquat. Sci., 39 (5), 651-659.
• 22.McArthur M.A., Brooke B.P., Przeslawski R., Ryan D.A., Lucieer V. L., Nichol S., McCallum A.W., Mellin C., Cresswell I.D., Radke L.C., 2010, On the use of abiotic surrogates to describe marine benthic biodiversity, Estuar. Coast. Shelf Sci., 88 (1), 21-32.
• 23.Mulicki Z., 1947, Odżywianie się storni (Pleuronectes flesus L.) w Zatoce Gdańskiej (Food and feeding habit of the flounder [Pleuronectes flesus L.] in the Gulf of Gdańsk), Arch. Hydrobiol. Ryb., 13, 221-259.
• 24.Ojaveer H., Jaanus A., MacKenzie B.R., Martin G., Olenin S., Radziejewska T., Telesh I., Zettler M. I., Zaiko A., 2010, Status of biodiversity in the Baltic Sea, PLoS ONE, 5 (9), e12467.
• 25.Olenin S., 1997, Benthic zonation of the Eastern Gotland Basin, Neth. J. Aquat. Ecol., 30 (4), 265-282.
• 26.Ostrowski J., 1997, Odżywianie się storni (Pleuronectes flesus L.) w południowym Bałtyku w 1996 i 1997. (Diet of the flounder [Pleuronectes flesus L.] in the southern Baltic in 1996-1997), Rep. Sea Fish. Inst., Gdynia, 237-247.
• 27.Potts J.M., Elith J., 2006, Comparing species abundance models, Ecol. Model., 199, 153-163.
• 28.Quinn G.P., Keough M. J., 2002, Experimental design and data analysis for biologists, Cambridge Univ. Press, Cambridge, 520 pp.
• 29.Repečka M., Gelumbauskait˙e Ž., Grigelis A., Šimkevičius P., Radzevičius R., Monkevičius A., Bubinas A., Kasperovičien˙e J., Gadeikis S., 1997, Valstybinis jrinis geologinis kartografavimas 1:50 000 masteliu Klaip˙edos-šventosios akvatorijoje. I objektas, Lietuvos geologijos tarnyba, Lietuvos geologijos institutas, Vilnius, 227 pp.
• 30.Rosenberg R., Blomqvist M., Nilsson H.C., Cederwall H., Dimming A., 2004, Marine quality assessment by use of benthic species-abundance distributions: a proposed new protocol within the European Union Water Framework Directive, Mar. Pollut. Bull., 49 (9-10), 728-739.
• 31.Sanchirico J.N., Mumby P., 2009, Mapping ecosystem functions to the valuation of ecosystem services: implications of species-habitat associations for coastal land-use decisions, Theor. Ecol., 2, 67-77.
• 32.Santos J., Jobling M., 1991, Factors affecting gastric evacuation in cod, Gadus morhua L., fed single-meals of natural prey, J. Fish. Biol., 38 (5), 697-713.
• 33.Snelgrove P.V.R., 1998, The biodiversity of macrofaunal organisms in marine sediments, Biodivers. Conserv., 7 (9), 1123-1132, doi:10.1023/A:1008867313340.
• 34.Thrush S. F., Pridmore R.D., Hewitt J.E., 1994, Impacts on soft-sediment macrofauna: the effects of spatial variation on temporal trends, Ecol. Appl., 4 (1), 31-41.
• 35.Tomczak M.T., Müller-Karulis B., Järv L., Kotta J., Martin G., Minde A., Põllumäe A., Razinkovas A., Strake S., Bucas M., Blenckner T., 2009, Analysis of trophic networks and carbon flows in South Eastern Baltic costal ecosystems, Prog. Oceanogr., 81 (1-4), 111-131.
• 36.Troy A., Wilson M.A., 2006, Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer, Ecol. Econ., 60, 435-449, doi:10.1016/j.ecolecon.2006.04.007.
• 37.Tyler A.V., 1970, Rates of gastric emptying in young cod, J. Fish. Res. Board Can., 27 (7), 1177-1189.
• 38.Urtans E., 1992, Feeding daily rhythm of eelpout (Zoarces viviparus (L.)) in the Gulf of Riga, ICES CM 1992/J:28, 12 pp., (mimeo).
• 39.Uzars D., 2000, Variation in environmental conditions, feeding and growth of cod in the Eastern Baltic, ICES CM 2000/Q10, 1-9.
• 40.Wei C. L., Rowe G.T., Escobar-Briones E., Boetius A., Soltwedel T., et al., 2010, Global patterns and predictions of seafloor biomass using random forests, PLoS ONE, 5 (12), e15323.
• 41.Wentworth C.K., 1922, A scale grade and class terms for clastic sediments, J. Geol., 30 (5), 377-392, doi:10.1086/622910.
• 42.Węsławski J.M.,Warzocha J.,Wiktor J., Urbański J., Radtke K., Kryla L., Tatarek A., Kotwicki L., Piwowarczyk J., 2009, Biological valorisation of the southern Baltic Sea (Polish Exclusive Economic Zone), Oceanologia, 51 (3), 415-435, doi:10.5697/oc.51-3.415.
• 43.Willems W., Goethals P., Van den Eynde D., Van Hoey G., Van Lancker V., Verfaillie E., Vincx M., Degraer S., 2008, Where is the worm? Predictive modelling of the habitat preferences of the tube-building polychaete Lanice conchilega, Ecol. Model., 212, 74-79, doi:10.1016/j.ecolmodel.2007.10.017