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Microhabitat preferences of fish assemblages in the Udzungwa Mountains (Eastern Africa)

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Microhabitat preferences of fish assemblages in the Udzungwa Mountains (Eastern Africa)

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dc.contributor.author Muñoz-Mas, Rafael es_ES
dc.contributor.author Sánchez-Hernández, Javier es_ES
dc.contributor.author Martinez-Capel, Francisco es_ES
dc.contributor.author Tamatamah, Rashid es_ES
dc.contributor.author Mohamedi, Shafi es_ES
dc.contributor.author Massinde, Richard es_ES
dc.contributor.author McClain, Michael E. es_ES
dc.date.accessioned 2020-11-25T04:31:27Z
dc.date.available 2020-11-25T04:31:27Z
dc.date.issued 2019-07 es_ES
dc.identifier.issn 0906-6691 es_ES
dc.identifier.uri http://hdl.handle.net/10251/155699
dc.description.abstract [EN] Environmental flow assessment (EFA) involving microhabitat preference models is a common approach to set ecologically friendly flow regimes in territories with ongoing or planned projects to develop river basins, such as many rivers of Eastern Africa. However, habitat requirements of many African fish species are poorly studied, which may impair EFAs. This study investigated habitat preferences of fish assemblages, based on species presence-absence data from 300 microhabitats collected in two tributaries of the Kilombero River (Tanzania), aiming to disentangle differences in habitat preferences of African species at two levels: assemblage (i.e. between tributaries) and species (i.e. species-specific habitat preferences). Overall, flow velocity, which implies coarser substrates and shallower microhabitats, emerged as the most important driver responsible of the changes in stream-dwelling assemblages at the microhabitat scale. At the assemblage level, we identified two important groups of species according to habitat preferences: (a) cover-orientated and limnophilic species, including Barbus spp., Mormyridae and Chiloglanis deckenii, and (b) rheophilic species, including Labeo cylindricus, Amphilius uranoscopus and Parakneria spekii. Rheophilic species preferred boulders, fast flow velocity and deeper microhabitats. At the species level, we identified species-specific habitat preferences. For instance, Barbus spp. preferred low flow velocity shallow depth and fine-to-medium substratum, whereas L. cylindricus and P. spekii mainly selected shallow microhabitats with coarse substrata. Knowledge of habitat preferences of these assemblages and species should enhance the implementation of ongoing and future EFA studies of the region. es_ES
dc.description.sponsorship We thank C. Alexander and an anonymous referee for constructive comments on the submitted manuscript. This study was financed by the United States Agency for International Development (USAID) as part of the Technical Assistance to Support the Development of Irrigation and Rural Roads Infrastructure Project (IRRIP2), implemented by CDM International Inc. We are particularly grateful to the local people who helped us during the data collection. We also gratefully acknowledge individuals from organisations that collaborated in this research and especially the scientific committee that shared their knowledge of the Kilombero River basin. These individuals include the following: J.J. Kashaigili (SUA), K.N. Njau (NM. AIST), P.M. Ndomba (UDSM), F. Mombo (SUA), S. Graas (UNESCO- IHE), C.M. Mengo (RUFIJI BASIN), J.H. O'keeffe (Rhodes Univ.), S.M. Andrew (SUA), P. Paron (UNESCO-IHE), W. Kasanga (CDM Smith), and R. Tharme (RIVER FUTURES). R. Muñoz-Mas benefitted from a postdoctoral Juan de la Cierva fellowship from the Spanish Ministry of Science, Innovation and Universities (ref. FJCI-2016-30829) and J. Sánchez-Hernández was supported by a postdoctoral grant from the Galician Plan for Research, Innovation and Growth (Plan I2C, Xunta de Galicia). Additional funding was provided by the Ministry of Science, Innovation and Universities (projects CGL2016-80820-R and PCIN-2016-168) and the Government of Catalonia (ref. 2017 SGR 548). es_ES
dc.language Inglés es_ES
dc.publisher Blackwell Publishing es_ES
dc.relation.ispartof Ecology Of Freshwater Fish es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Constrained additive ordination es_ES
dc.subject Environmental drivers es_ES
dc.subject Environmental flow assessment es_ES
dc.subject Fish communities es_ES
dc.subject Fuzzy rule-based system es_ES
dc.subject Stream-dwelling fish es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Microhabitat preferences of fish assemblages in the Udzungwa Mountains (Eastern Africa) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1111/eff.12469 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat de Catalunya//2017 SGR 548/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/USAID//IRRIP2 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//FJCI-2016-30829/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/USAID//I2C es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CGL2016-80820-R/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PCIN-2016-168/ES/ODYSSEUS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Muñoz-Mas, R.; Sánchez-Hernández, J.; Martinez-Capel, F.; Tamatamah, R.; Mohamedi, S.; Massinde, R.; Mcclain, ME. (2019). Microhabitat preferences of fish assemblages in the Udzungwa Mountains (Eastern Africa). Ecology Of Freshwater Fish. 28(3):473-484. https://doi.org/10.1111/eff.12469 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1111/eff.12469 es_ES
dc.description.upvformatpinicio 473 es_ES
dc.description.upvformatpfin 484 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\376943 es_ES
dc.contributor.funder Xunta de Galicia es_ES
dc.contributor.funder IHE Delft Institute for Water Education es_ES
dc.contributor.funder Generalitat de Catalunya es_ES
dc.contributor.funder United States Agency for International Development es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Akbaripasand, A., & Closs, G. P. (2017). Effects of food supply and stream physical characteristics on habitat use of a stream-dwelling fish. Ecology of Freshwater Fish, 27(1), 270-279. doi:10.1111/eff.12345 es_ES
dc.description.references Alexander, C., Poulsen, F., Robinson, D. C. E., Ma, B. O., … Luster, R. A. (2018). Improving Multi-Objective Ecological Flow Management with Flexible Priorities and Turn-Taking: A Case Study from the Sacramento River and Sacramento–San Joaquin Delta. San Francisco Estuary and Watershed Science, 16(1). doi:10.15447/sfews.2018v16iss1/art2 es_ES
dc.description.references ALLOUCHE, S. (2002). NATURE AND FUNCTIONS OF COVER FOR RIVERINE FISH. Bulletin Français de la Pêche et de la Pisciculture, (365-366), 297-324. doi:10.1051/kmae:2002037 es_ES
dc.description.references Ardia, D., Boudt, K., Carl, P., Mullen, K., M., & Peterson, B., G. (2011). Differential Evolution with DEoptim. The R Journal, 3(1), 27. doi:10.32614/rj-2011-005 es_ES
dc.description.references Arthington, A. H., Bunn, S. E., Poff, N. L., & Naiman, R. J. (2006). THE CHALLENGE OF PROVIDING ENVIRONMENTAL FLOW RULES TO SUSTAIN RIVER ECOSYSTEMS. Ecological Applications, 16(4), 1311-1318. doi:10.1890/1051-0761(2006)016[1311:tcopef]2.0.co;2 es_ES
dc.description.references Austin, M. (2007). Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecological Modelling, 200(1-2), 1-19. doi:10.1016/j.ecolmodel.2006.07.005 es_ES
dc.description.references Bain, M. B., Finn, J. T., & Booke, H. E. (1985). A Quantitative Method for Sampling Riverine Microhabitats by Electrofishing. North American Journal of Fisheries Management, 5(3B), 489-493. doi:10.1577/1548-8659(1985)5<489:aqmfsr>2.0.co;2 es_ES
dc.description.references Baselga, A., & Araújo, M. B. (2009). Individualistic vs community modelling of species distributions under climate change. Ecography, 32(1), 55-65. doi:10.1111/j.1600-0587.2009.05856.x es_ES
dc.description.references CAMP, E. V., GWINN, D. C., PINE III, W. E., & FRAZER, T. K. (2011). Changes in submersed aquatic vegetation affect predation risk of a common prey fish Lucania parva (Cyprinodontiformes: Fundulidae) in a spring-fed coastal river. Fisheries Management and Ecology, 19(3), 245-251. doi:10.1111/j.1365-2400.2011.00827.x es_ES
dc.description.references Cheng, B., & Li, H. (2018). Agricultural economic losses caused by protection of the ecological basic flow of rivers. Journal of Hydrology, 564, 68-75. doi:10.1016/j.jhydrol.2018.06.065 es_ES
dc.description.references Cotula, L. (2012). The international political economy of the global land rush: A critical appraisal of trends, scale, geography and drivers. The Journal of Peasant Studies, 39(3-4), 649-680. doi:10.1080/03066150.2012.674940 es_ES
dc.description.references Dudgeon, D. (2000). The Ecology of Tropical Asian Rivers and Streams in Relation to Biodiversity Conservation. Annual Review of Ecology and Systematics, 31(1), 239-263. doi:10.1146/annurev.ecolsys.31.1.239 es_ES
dc.description.references Eccles D. H.(1992).Field guide to the freshwater fishes of Tanzania. FAO species identification sheets for fishery purposes.Rome Italy:FAO: Food & Agriculture Organization of the United Nations. es_ES
dc.description.references Elisa, M., Gara, J. I., & Wolanski, E. (2010). A review of the water crisis in Tanzania’s protected areas, with emphasis on the Katuma River—Lake Rukwa ecosystem. Ecohydrology & Hydrobiology, 10(2-4), 153-165. doi:10.2478/v10104-011-0001-z es_ES
dc.description.references Friedman, J. H. (2001). machine. The Annals of Statistics, 29(5), 1189-1232. doi:10.1214/aos/1013203451 es_ES
dc.description.references Fukuda, S., De Baets, B., Waegeman, W., Verwaeren, J., & Mouton, A. M. (2013). Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models. Environmental Modelling & Software, 47, 1-6. doi:10.1016/j.envsoft.2013.04.005 es_ES
dc.description.references Fukuda, S., Mouton, A. M., & De Baets, B. (2011). Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi–Sugeno fuzzy system. Environmental Monitoring and Assessment, 184(10), 6159-6171. doi:10.1007/s10661-011-2410-2 es_ES
dc.description.references Garbe, J., Beevers, L., & Pender, G. (2016). The interaction of low flow conditions and spawning brown trout ( Salmo trutta ) habitat availability. Ecological Engineering, 88, 53-63. doi:10.1016/j.ecoleng.2015.12.011 es_ES
dc.description.references Gibson, R. J. (1993). The Atlantic salmon in fresh water: spawning, rearing and production. Reviews in Fish Biology and Fisheries, 3(1), 39-73. doi:10.1007/bf00043297 es_ES
dc.description.references Ibanez, C., Oberdorff, T., Teugels, G., Mamononekene, V., Lavoué, S., Fermon, Y., … Toham, A. K. (2007). Fish assemblages structure and function along environmental gradients in rivers of Gabon (Africa). Ecology of Freshwater Fish, 16(3), 315-334. doi:10.1111/j.1600-0633.2006.00222.x es_ES
dc.description.references JOHNSON, J. H., & DOUGLASS, K. A. (2009). Diurnal stream habitat use of juvenile Atlantic salmon, brown trout and rainbow trout in winter. Fisheries Management and Ecology, 16(5), 352-359. doi:10.1111/j.1365-2400.2009.00680.x es_ES
dc.description.references Kadye, W. T., & Chakona, A. (2012). Spatial and temporal variation of fish assemblage in two intermittent streams in north-western Zimbabwe. African Journal of Ecology, 50(4), 428-438. doi:10.1111/j.1365-2028.2012.01338.x es_ES
dc.description.references Kadye, W. T., & Moyo, N. A. G. (2008). Stream fish assemblage and habitat structure in a tropical African river basin (Nyagui River, Zimbabwe). African Journal of Ecology, 46(3), 333-340. doi:10.1111/j.1365-2028.2007.00843.x es_ES
dc.description.references Kouamé, K. A., Yao, S. S., Gooré Bi, G., Kouamélan, E. P., N’Douba, V., & Kouassi, N. J. (2007). Influential environmental gradients and patterns of fish assemblages in a West African basin. Hydrobiologia, 603(1), 159-169. doi:10.1007/s10750-007-9256-1 es_ES
dc.description.references Logez, M., Bady, P., & Pont, D. (2011). Modelling the habitat requirement of riverine fish species at the European scale: sensitivity to temperature and precipitation and associated uncertainty. Ecology of Freshwater Fish, 21(2), 266-282. doi:10.1111/j.1600-0633.2011.00545.x es_ES
dc.description.references Maguire, K. C., Nieto-Lugilde, D., Blois, J. L., Fitzpatrick, M. C., Williams, J. W., Ferrier, S., & Lorenz, D. J. (2016). Controlled comparison of species- and community-level models across novel climates and communities. Proceedings of the Royal Society B: Biological Sciences, 283(1826), 20152817. doi:10.1098/rspb.2015.2817 es_ES
dc.description.references McClain, M. E., Kashaigili, J. J., & Ndomba, P. (2013). Environmental flow assessment as a tool for achieving environmental objectives of African water policy, with examples from East Africa. International Journal of Water Resources Development, 29(4), 650-665. doi:10.1080/07900627.2013.781913 es_ES
dc.description.references McClain, M. E., Subalusky, A. L., Anderson, E. P., Dessu, S. B., Melesse, A. M., Ndomba, P. M., … Mligo, C. (2014). Comparing flow regime, channel hydraulics, and biological communities to infer flow–ecology relationships in the Mara River of Kenya and Tanzania. Hydrological Sciences Journal, 59(3-4), 801-819. doi:10.1080/02626667.2013.853121 es_ES
dc.description.references Mouton, A. M., Alcaraz-Hernández, J. D., De Baets, B., Goethals, P. L. M., & Martínez-Capel, F. (2011). Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers. Environmental Modelling & Software, 26(5), 615-622. doi:10.1016/j.envsoft.2010.12.001 es_ES
dc.description.references Mouton, A. M., De Baets, B., & Goethals, P. L. M. (2010). Ecological relevance of performance criteria for species distribution models. Ecological Modelling, 221(16), 1995-2002. doi:10.1016/j.ecolmodel.2010.04.017 es_ES
dc.description.references Mouton, A. M., Schneider, M., Peter, A., Holzer, G., Müller, R., Goethals, P. L. M., & De Pauw, N. (2008). Optimisation of a fuzzy physical habitat model for spawning European grayling (Thymallus thymallus L.) in the Aare river (Thun, Switzerland). Ecological Modelling, 215(1-3), 122-132. doi:10.1016/j.ecolmodel.2008.02.028 es_ES
dc.description.references Mullen, K., Ardia, D., Gil, D., Windover, D., & Cline, J. (2011). DEoptim: AnRPackage for Global Optimization by Differential Evolution. Journal of Statistical Software, 40(6). doi:10.18637/jss.v040.i06 es_ES
dc.description.references Muñoz-Mas, R., Marcos-Garcia, P., Lopez-Nicolas, A., Martínez-García, F. J., Pulido-Velazquez, M., & Martínez-Capel, F. (2018). Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change. Ecological Modelling, 386, 98-114. doi:10.1016/j.ecolmodel.2018.08.012 es_ES
dc.description.references Muñoz-Mas, R., Martínez-Capel, F., Alcaraz-Hernández, J. D., & Mouton, A. M. (2015). Can multilayer perceptron ensembles model the ecological niche of freshwater fish species? Ecological Modelling, 309-310, 72-81. doi:10.1016/j.ecolmodel.2015.04.025 es_ES
dc.description.references Muñoz-Mas, R., Martínez-Capel, F., Alcaraz-Hernández, J. D., & Mouton, A. M. (2017). On species distribution modelling, spatial scales and environmental flow assessment with Multi–Layer Perceptron Ensembles: A case study on the redfin barbel (Barbus haasi; Mertens, 1925). Limnologica, 62, 161-172. doi:10.1016/j.limno.2016.09.004 es_ES
dc.description.references Muñoz-Mas, R., Martínez-Capel, F., Schneider, M., & Mouton, A. M. (2012). Assessment of brown trout habitat suitability in the Jucar River Basin (SPAIN): Comparison of data-driven approaches with fuzzy-logic models and univariate suitability curves. Science of The Total Environment, 440, 123-131. doi:10.1016/j.scitotenv.2012.07.074 es_ES
dc.description.references Muñoz-Mas, R., Papadaki, C., Martínez-Capel, F., Zogaris, S., Ntoanidis, L., & Dimitriou, E. (2016). Generalized additive and fuzzy models in environmental flow assessment: A comparison employing the West Balkan trout (Salmo farioides; Karaman, 1938). Ecological Engineering, 91, 365-377. doi:10.1016/j.ecoleng.2016.03.009 es_ES
dc.description.references Ngugi, C. C., Manyala, J. O., Njiru, M., & Mlewa, C. M. (2009). Some aspects of the biology of the stargazer mountain catfish,Amphilius uranoscopus(pfeffer); (Siluriformes: Amphiliidae) indigenous to Kenya streams. African Journal of Ecology, 47(4), 606-613. doi:10.1111/j.1365-2028.2009.01032.x es_ES
dc.description.references Novák, V., & Lehmke, S. (2006). Logical structure of fuzzy IF-THEN rules. Fuzzy Sets and Systems, 157(15), 2003-2029. doi:10.1016/j.fss.2006.02.011 es_ES
dc.description.references Pease, A. A., Taylor, J. M., Winemiller, K. O., & King, R. S. (2015). Ecoregional, catchment, and reach-scale environmental factors shape functional-trait structure of stream fish assemblages. Hydrobiologia, 753(1), 265-283. doi:10.1007/s10750-015-2235-z es_ES
dc.description.references Petts, G. E. (2009). Instream Flow Science For Sustainable River Management. JAWRA Journal of the American Water Resources Association, 45(5), 1071-1086. doi:10.1111/j.1752-1688.2009.00360.x es_ES
dc.description.references POFF, N. L., & ZIMMERMAN, J. K. H. (2010). Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshwater Biology, 55(1), 194-205. doi:10.1111/j.1365-2427.2009.02272.x es_ES
dc.description.references Poff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., Prestegaard, K. L., Richter, B. D., … Stromberg, J. C. (1997). The Natural Flow Regime. BioScience, 47(11), 769-784. doi:10.2307/1313099 es_ES
dc.description.references POFF, N. L., RICHTER, B. D., ARTHINGTON, A. H., BUNN, S. E., NAIMAN, R. J., KENDY, E., … WARNER, A. (2010). The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards. Freshwater Biology, 55(1), 147-170. doi:10.1111/j.1365-2427.2009.02204.x es_ES
dc.description.references Reiser, D. W., & Hilgert, P. J. (2018). A Practitioner’s Perspective on the Continuing Technical Merits of PHABSIM. Fisheries, 43(6), 278-283. doi:10.1002/fsh.10082 es_ES
dc.description.references ROBERTS, T. R. (1975). Geographical distribution of African freshwater fishes. Zoological Journal of the Linnean Society, 57(4), 249-319. doi:10.1111/j.1096-3642.1975.tb01893.x es_ES
dc.description.references Sánchez-Hernández, J., Gabler, H.-M., & Amundsen, P.-A. (2017). Prey diversity as a driver of resource partitioning between river-dwelling fish species. Ecology and Evolution, 7(7), 2058-2068. doi:10.1002/ece3.2793 es_ES
dc.description.references Scheidegger, K. J., & Bain, M. B. (1995). Larval Fish Distribution and Microhabitat Use in Free-Flowing and Regulated Rivers. Copeia, 1995(1), 125. doi:10.2307/1446807 es_ES
dc.description.references SCHMIDT, R. C., BART, H. L. J., & NYINGI, W. D. (2015). <p><strong>Two new species of African suckermouth catfishes, genus <em>Chiloglanis</em> (Siluriformes: Mochokidae), from Kenya with remarks on other taxa </strong><strong>from the area</strong></p>. Zootaxa, 4044(1), 45. doi:10.11646/zootaxa.4044.1.2 es_ES
dc.description.references Schoelynck, J., Creëlle, S., Buis, K., De Mulder, T., Emsens, W.-J., Hein, T., … Folkard, A. (2018). What is a macrophyte patch? Patch identification in aquatic ecosystems and guidelines for consistent delineation. Ecohydrology & Hydrobiology, 18(1), 1-9. doi:10.1016/j.ecohyd.2017.10.005 es_ES
dc.description.references Skelton P. H.(2001).A complete guide to the freshwater fishes of southern Africa. Struik. es_ES
dc.description.references Somodi, I., Lepesi, N., & Botta-Dukát, Z. (2017). Prevalence dependence in model goodness measures with special emphasis on true skill statistics. Ecology and Evolution, 7(3), 863-872. doi:10.1002/ece3.2654 es_ES
dc.description.references Storn, R., & Price, K. (1997). Journal of Global Optimization, 11(4), 341-359. doi:10.1023/a:1008202821328 es_ES
dc.description.references Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, SMC-15(1), 116-132. doi:10.1109/tsmc.1985.6313399 es_ES
dc.description.references Tharme, R. E. (2003). A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers. River Research and Applications, 19(5-6), 397-441. doi:10.1002/rra.736 es_ES
dc.description.references Theodoropoulos, C., Skoulikidis, N., Stamou, A., & Dimitriou, E. (2018). Spatiotemporal Variation in Benthic-Invertebrates-Based Physical Habitat Modelling: Can We Use Generic Instead of Local and Season-Specific Habitat Suitability Criteria? Water, 10(11), 1508. doi:10.3390/w10111508 es_ES
dc.description.references Vadas, R. L., Vadas, R. L., & Orth, D. J. (2000). Environmental Biology of Fishes, 59(3), 253-269. doi:10.1023/a:1007613701843 es_ES
dc.description.references Van Oosterhout, M. P., van der Velde, G., & Gaigher, I. G. (2008). High altitude mountain streams as a possible refuge habitat for the catfish Amphilius uranoscopus. Environmental Biology of Fishes, 84(1), 109-120. doi:10.1007/s10641-008-9394-y es_ES
dc.description.references Vezza, P., Parasiewicz, P., Rosso, M., & Comoglio, C. (2011). DEFINING MINIMUM ENVIRONMENTAL FLOWS AT REGIONAL SCALE: APPLICATION OF MESOSCALE HABITAT MODELS AND CATCHMENTS CLASSIFICATION. River Research and Applications, 28(6), 717-730. doi:10.1002/rra.1571 es_ES
dc.description.references Vilizzi, L., Stakenas, S., & Copp, G. H. (2012). Use of constrained additive and quadratic ordination in fish habitat studies: an application to introduced pumpkinseed (Lepomis gibbosus) and native brown trout (Salmo trutta) in an English stream. Fundamental and Applied Limnology, 180(1), 69-75. doi:10.1127/1863-9135/2012/0277 es_ES
dc.description.references Webb, J. A., de Little, S. C., Miller, K. A., & Stewardson, M. J. (2018). Quantifying and predicting the benefits of environmental flows: Combining large-scale monitoring data and expert knowledge within hierarchical Bayesian models. Freshwater Biology, 63(8), 831-843. doi:10.1111/fwb.13069 es_ES
dc.description.references Wisz, M. S., Hijmans, R. J., Li, J., Peterson, A. T., Graham, C. H., & Guisan, A. (2008). Effects of sample size on the performance of species distribution models. Diversity and Distributions, 14(5), 763-773. doi:10.1111/j.1472-4642.2008.00482.x es_ES
dc.description.references Worthington E. B.(1929).A Report on the Fishing Survey of Lakes Albert and Kioga: March to July 1928. Government of Uganda Protectorate by the Crown Agents for the Colonies. es_ES
dc.description.references Yee, T. W. (2006). CONSTRAINED ADDITIVE ORDINATION. Ecology, 87(1), 203-213. doi:10.1890/05-0283 es_ES
dc.description.references Yee, T. W. (2010). TheVGAMPackage for Categorical Data Analysis. Journal of Statistical Software, 32(10). doi:10.18637/jss.v032.i10 es_ES
dc.description.references Yen, J., & Liang Wang. (1998). Application of statistical information criteria for optimal fuzzy model construction. IEEE Transactions on Fuzzy Systems, 6(3), 362-372. doi:10.1109/91.705503 es_ES
dc.description.references Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi:10.1016/s0019-9958(65)90241-x es_ES
dc.description.references Zhou, S.-M., & Gan, J. Q. (2008). Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets and Systems, 159(23), 3091-3131. doi:10.1016/j.fss.2008.05.016 es_ES


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