مقایسة عملکرد مدل‌های خطی و غیرخطی در برآورد شایستگی زیستگاه (مطالعة سیاه‌ماهی رازی، Capoeta razii)

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه شیلات، دانشکدة منابع طبیعی، دانشگاه تهران، دانشکدگان کشاورزی و منابع طبیعی، کرج، ایران.

10.22059/jne.2023.367109.2610

چکیده

یافتن مدل‌‌های آماری دارای بهترین عملکرد پیش ­بینی در مطالعات شایستگی زیستگاه گونه­ های ماهیان از اهمیت بالایی برخوردار است. در مطالعة حاضر، عملکرد مدل‌های خطی (مدل رگرسیون خطی (LM)، مدل رگرسیون خطی تعمیم­یافته (GLM)) و غیرخطی (مدل شبکة عصبی مصنوعی (ANN) و مدل ماشین بردار پشتیبان (SVM)) در برآورد نمایة شایستگی زیستگاه (HSI) گونة سیاه­ ماهی رازی Capoeta razii در تعداد 32 ایستگاه در امتداد بازة حدود 90 کیلومتری از رودخانة طالقان، حوضة‌ جنوبی دریای خزر مورد بررسی قرار گرفت. پارامترهای محیطی اندازه­ گیری شده عبارت بودند از: ارتفاع از سطح دریا، عمق رودخانه، عرض رودخانه، سرعت جریان آب، دما، pH، EC، TDS، قطر سنگ و تعداد سنگ‌های با قطر > 15 سانتی‌متر در بستر. نتایج نشان داد که مدل‌های خطی در مقایسه با مدل‌های غیرخطی از عملکرد پیش­بینی ضعیف­تری (مقدار RMSE بالاتری) برخوردارند. بهترین مدل‌ها برای پارامترهای ارتفاع از سطح دریا، pH، دما و قطر سنگ مربوط به مدل SVM و برای دیگر پارامترها مربوط به مدل ANN بود. مدل میانگین حسابی (AMM) در مقایسه با مدل میانگین هندسی (GMM) عملکرد مناسب­تری را در برآورد HSI نشان داد. توزیع مقادیر HSI در ایستگاه‌های بررسی شده در رودخانة طالقان نشان داد که نقاط دارای سطوح شایستگی زیستگاه کم تا زیاد برای گونة سیاه‌ماهی رازی در امتداد این رودخانه وجود دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Comparison of the performance of the linear and non-linear models in habitat suitability estimation (case study: Razi scraper, Capoeta razii)

نویسندگان [English]

  • Hadi Poorbagher
  • Soheil Eagderi
  • Fateh Moezzi

Department of Fisheries, Faculty of Natural Resources, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.

چکیده [English]

The statistical models with the best performance in habitat suitability studies of fish species are of high importance. The present study compared the performance of linear (linear regression model (LM) and generalized linear model (GLM)) and non-linear models (artificial neural networks (ANN) and support vector machine (SVM)) in estimating habitat suitability index (HSI) for Capoeta razii in a southern Caspian Sea basin. The environmental parameters were altitude, depth, width, velocity, temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), bottom stone diameter, and total count of stones with diameter > 15 cm per m2. The linear models had weak predictive performance (higher RMSE values) compared to ANN and SVM models. The SVM was the best model with the predictors of altitude, pH, temperature, and stone diameter, and ANN was the best model using the rest of the parameters. The arithmetic mean model (AMM) showed better performance in estimating HSI compared to the geometric mean model (GMM). The distribution of HSI values along the sampling stations in the Caspian Sea basin (the Taleghan River) showed high diversity in the habitat condition of the fish species.     

کلیدواژه‌ها [English]

  • Habitat variables
  • Modelling
  • Species distribution
  • Taleghan River
Anvarifar, H., Farahmand, H., Rahmani, H., Nematollahi, M.A., Karami, M., Akbarzade, A., 2012. Investigation of morphometric variation and differentiation Siah Mahi, Capoeta capoeta
gracilis, in Tajan River. Iranian Journal of Biology 25(4), 517-535.
Baker, J.A., Ross, S.T., 1981. Spatial and temporal resource utilization by south eastern cyprinids. Copeia 178-189.
Beger, M., Possingham, H.P., 2008. Environmental factors that influence the distribution of coral reef fishes: modeling occurrence data for broad-scale conservation and management. Marine Ecology Progress Series 361, 1-13.
Brown, S.K., Buja, K.R., Jury, S.H., Monaco, M.E., Banner, A., 2000. Habitat suitability index models for eight fish and invertebrate species in Casco and Sheepscot Bays, Maine. North American Journal of Fisheries Management 20, 408-435.
Burnham, K.P., Anderson, D.R., 2002. Model selection and multimodel inference: a practical information-theoretic approach, Second ed. Springer, New York. 
Burnham, K.P., Anderson, D.R., 2004. Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods &Research 33(2), 261-304.
Chang, Y.J., Sun, Ch. L., Chen, Y., Yeh, S.Z., Dinardo, G., 2012. Habitat suitability analysis and identification of potential fishing grounds foe swordfish, Xiphias gladius, in the South Atlantic Ocean. International Journal of Remote Sensing 33(23), 7523-7541.
Chen, X.J., Tian, S.Q., Chen, Y., Liu, B., 2010. A modelling approach to identify optimal habitat and suitable fishing grounds for neon flying squid (Ommastrephes bartramii) in the Northwest Pacific Ocean. Fishery Bulletin 108, 1-14.
Chen, X.J., Li, G., Feng, B., Tian, S.Q., 2009. Habitat suitability of chub mackerel (Scomber japonicus) in the East China Sea. Journal of Oceanography 65, 93-102.
Eagderi, S., Zamani-Faradonbeh, M., Poorbagher, H., Mouludi-Saleh, A., 2021. Habitat preference of Sefid river loach, Oxynoemacheilus bergianus (Steindachner, 1897) in Jajroud River by comparing its preference in autumn and winter. Journal of Natural Environment 74(1), 1-11. (In Persian)
Eagderi, S., Mouludi-Saleh, A., Esmaeli, H.R., Sayyadzadeh, G., Nasri, M., 2022. Freshwater lamprey and fishes of Iran; a revised and updated annotated checklist-2022. Turkish Journal of Zoology 46(6), 500-522.
Eagderi, S., Esmaeilzadegan, E., Pirgeigi, A., 2015. Morphological responses of Capoeta gracilis and Alburnoides eichwaldii populations (Cyprinidae) fragmented due to Tarik Dam (Sefidrud River, Caspian Sea basin, Iran). Iranian Journal of Ichthyology 1(2), 114-120.
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 and Software 47, 1-6.
Gevrey, M., Park, Y.S., Verdonschot, P.F.M., Lek, S., 2005. Predicting Dutch macroinvertebrate species richness and functional feeding groups using five modelling techniques. Modelling Community Structure in Freshwater Ecosystems. Springer, Berlin Heidelberg, pp. 158-186.
Gore, J.A., Layzer, J.B., Mead, J. 2001. Macroinvertebrate instream flow studies after 20 years: a role in stream management and restoration. Regulated Rivers: Research & Management: An International Journal Devoted to River Research and Management 17(45), 527-542.
Harborne, A.R., Mumby, P.J., Kennedy, E.V., Ferrari, R., 2011. Biotic and multi-scale abiotic controls of habitat quality: their effect on coral-reef fishes. Marine Ecology Progress Series 437, 201-214.
Knudby, A., Brenning, A., LeDrew, E., 2010. New approaches to modelling fish–habitat relationships. Ecological Modelling 221(3), 503-511.
Kuhn, M., Johnson, K., 2013. Applied predictive modeling. Springer.  560 p.
Le Pape, O., Chauvet, F., Mahévas, S., Lazure, P., Guérault, D., Désaunay, Y., 2003. Quantitative description of habitat suitability for the juvenile common sole (Solea solea, L.) in the Bay of Biscay (France) and the contribution of different habitats to the adult population. Journal of Sea Research 50(2-3), 139-149.
Li, M., Zhang, Ch., Xu, B., Xue, Y., Ren, Y., 2017. Evaluating the approaches of habitat suitability modelling for whitespotted conger (Conger myriaster). Fisheries Research 195, 230-237.
Li, G., Cao, J., Zou, X., Chen, X., Runnebaum, J. 2016. Modeling habitat suitability index for Chilean jack mackerel (Trachurus murphyi) in the South East Pacific. Fisheries Research 178, 47-60.
Li, F., Cai, Q., Fu, X., Liu, J., 2009. Construction of habitat suitability models (HSMs) for benthic macroinvertebrate and their applications to instream environmental flows: a case study in Xiangxi River of Three Gorges Reservior region, China. Progress in Natural Science 19(3), 359-367.
Lin, Y., Lin, W., Wu, W., 2015. Uncertainty in various habitat suitability models and its impact on habitat suitability estimates for fish. Water 7(8), 4088-4107.
Littlejohn, S., Holland, L., Jacobson, R., Huston, M., Hornung, T., 1985. Habits and Habitats of Fishes in the Upper Mississippi River. U.S. Fish and Wildlife Service, La Crosse, Wisconsin.
Lotfi, A. 2012. Guideline on rapid assessment of environmental features of rivers. Environment protection agency 120 p. (In Persian)
Mouludi-Saleh, A., Eagderi, S., Poorbagher, H., 2022. Using kernel smoothing method in evaluating habitat preference of Mesopotamian barb, Capoeta damascina (Valenciennes, 1842) in Sirvan River. Journal of Natural Environment 75(4), 642-651.
Moëzzi, F., Poorbagher, H., Eagderi, S., Feghhi, J., Dormann, C.F., Khorshidi Nergi, S., Amiri, K., 2022. Modelling habitat preference of Caspian Kutum, using non-linear habitat suitability indices and generalized additive models. Regional Studies in Marine Science 56, 102715
Moëzzi, F., Poorbagher, H., Eagderi, S., Feghhi, J., 2023. Comparing the performance of generalized linear model (GLM) and random forest (RF) models in predicting catch distribution of Caspian Kutum (Rutilus kutum). Journal of Fisheries 76(1), 27-38. (In Persian)
Mouton, A.M., Alcaraz-Hernández, J.D., De Baets, B., Goethals, P.L., Martínez-Capel, F., 2011. Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers. Environmental Modelling & Software 26(5), 615-622.
Muñoz-Mas, R., Lopez-Nicolas, A., Martínez-Capel, F., Pulido-Velazquez, M., 2016. Shifts in the suitable habitat available for brown trout (Salmo trutta L.) under short-term climate change scenarios. Science of the Total Environment 544, 686-700.
Pittman, S.J., Costa, B.M., Battista, T.A., 2009. Using lidar bathymetry and boosted regression trees to predict the diversity and abundance of fish and corals. Journal of Coastal Research (1053), 27-38.
Pittman, S.J., Christensen, J.D., Caldow, C., Menza, C., Monaco, M.E., 2007. Predictive mapping of fish species richness across shallow-water seascapes in the Caribbean. Ecological Modelling 204(1-2), 9-21.
Porter, M.S., Rosenfeld, J., Parkinson, E.A., 2000. Predictive models of fish species distribution in the Blackwater drainage, British Columbia. North American Journal of Fisheries Management 20(2), 349-359.
R Core Team 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
Samaee, S.M., Mojazi-Amiri, B., Hosseini-Mazinani, S.M., 2006. Comparison of Capoeta gracilis (Cyprinidae, Teleostei) populations in the south Caspian Sea River basin, using morphometric ratios and genetic markers. Folia Zoologica 55(3), 323-335
Su, N.J., SUN, C.L., Punt, A.E., YEH, S.Z., 2008. Environmental and spatial effects on the distribution of blue marlin (Makaira nigricans) as inferred from data for longline fisheries in the Pacific Ocean. Fisheries Oceanography 17(6), 432-445.
Teresa, F.B., Casatti, L. 2013. Development of habitat suitability criteria for Neotropical stream fishes and an assessment of their transferability to streams with different conservation status. Neotropical Ichthyology 11(2), 395-402.
Tian, S., Chen, X., Chen, Y., Xu, L., Dai, X., 2009. Evaluating habitat suitability indices derived from CPUE and fishing effort data for Ommatrephes bratramii in the northwestern Pacific Ocean. Fisheries Research 95(2-3), 181-188.
Vinagre, C., Fonseca, V., Cabral, H., Costa, M.J., 2006. Habitat suitability index models for the juvenile soles, Solea solea and Solea senegalensis, in the Tagus estuary: defining variables for species management. Fisheries Research 82(1-3), 140-149.
Yi, Y.J., Sun, J., Zhang, S.H., 2016a. A habitat suitability model for Chinese sturgeon determined using the generalized additive method. Journal of Hydrology 534, 11-18.
Zainuddin, M., Saitoh, K., Saitoh, S.I., 2008. Albacore (Thunnus alalunga) fishing ground in relation to oceanographic conditions in the western North Pacific Ocean using remotely sensed satellite data. Fisheries Oceanography 17(2), 61-73.
Zamani Faranonbe, M., Eagderi, S., 2015. Fish assemblages as influenced by environmental factors in Taleghan River (the Caspian Sea Basin, Alborz Province, Iran). Caspian Journal of Environmental Science 13(4), 363-371.
Zamani Faradonbe, M., Eagderi, S., Moradi, M., 2015a. Patterns of body shape variation in Capoeta gracilis (Pisces: Cyprinidae) in relation to environmental variables in Sefidrud River Basin, Iran. Journal of Applied Biological Sciences 9(1), 36-42.
Zamani Faradonbe, M., Eagderi, S., Zarei, N., 2015b. Determination of habitat suitability index of Capoeta gracilis, Keyserling 1861 from Taleghan River. Journal of Fisheries, Iranian Journal of Natural Resources 68(3), 409-419. (In Persian)  
Zareii, N., Eagderi, S., Zamani Faradonbe, M., Naderi, M., 2016. The study of the relationship between body length of Capoeta gracilis, Keyserling 1861, and physical habitat parameters in Taleghan River. Animal Environment 8(1), 105-112. (In Persian)