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Matsyura, A. V.; Jankowski, K. (2016)
Publisher: Altai State University, Biological Faculty
Journal: Acta Biologica Sibirica
Languages: Russian
Types: Article
Subjects: Agriculture, S, computer programs; environmental monitoring; ornithology; species diversity; population dynamics., Биология; Зоология; Орнитология; Экология, видовое разнообразие, компьютерные программы; экологический мониторинг; орнитология; видовое разнообразие; динамика численности., динамика численности., Biology; Ecology; Ornithology, компьютерные программы, экологический мониторинг, орнитология
Приводится обзор наиболее употребительных компьютерных программ для обработки данных орнитологического мониторинга. Рассмотрены возможности и ограничения программ, приведены примеры их использования. Предложена методика обработки данных полевых наблюдений при помощи прикладных экологических компьютерных программ.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Dolnik, V.R. (1975). Ecologo-phisiologicheskie aspekty migratciy ptits. In: Orientatciya i migratcia ptits (pp. 5-18). Мoscow: Nauka (in Russian)
    • Dolnik, V.R., Blumental, T.I. (1964). Bioenergetics of migration. Uspekhi spvremennoy biologiy, 58, 280- 301. (in Russian)
    • Matsyura, A.V. (2004). Review of computer programs for biological and ecological research. Part I. Applcation of Oriana in avian research. Zapobidna sprava v Ukaini, 10(1-2), 98-99. (in Russian)
    • Matsyura, A.V. (2005a). Application of FLIGHT.BAS in study of energetics of migratory bird flights. Naukovi zapiski Ternopilskoho natsionalnogo pedagogichnogo universitetu. Seria Biologia, 1-2(25), 45-47 (in Russian).
    • Matsyura, A.V. (2005b). Species Diversity and Richness and its application for the analysis of communities structure. Vestnik Dnepropetrovskogo natsionalnogo universiteta, Seria Biologia, Ecologia, 13(2), 124- 128. (in Russian)
    • Matsyura, A.V. & Matsyura, M.V. (2006a). Mathematical methods of population size estimation on the base of banding and capture-recapture data. Naukovi zapiski Ternopilskoho natsionalnogo pedagogichnogo universitet, 1(28), 73-76. (in Russian)
    • Matsyura, A.V & Matsyura, M.V. (2006b). Review of computer programs for biological and ecological research. Part III. Appilcation of Axis for the circular data estimation. Zapovidna sprava v Ukraini. 12(10, 83-85. (in Russian)
    • Magurran, A. (1992). Ecological diversitu and its measurement, Moscow: Mir (in Russian).
    • Tyuki, J. (1981). Analysis of survey data. Moscow: Mir. (in Russian)
    • 4th edition of the AEWA Report on the Status and Trends of Populations of Migratory Waterbirds within the African-Eurasian region, (2008), Proceed. 4th Session of the meeting of the Parties, 15-19 September 2008. - Antananarivo, Madagascar “Flyway Conservation at Work - Review of the Past, Vision for the Future". Doc: AEWA/MOP, 4.8 Agenda item: 11.
    • Batschelet, E. (1965). Statistical methods for the analysis of problems in animal orientation and certain biological rhythms. Washington: Am. Inst. Sci.
    • Batschelet, E. (1972). Recent statistical methods for orientation data. In: Animal Orientation and Navigation (Ed. S. R. Galler et al) (pp. 61-91). Washington, DC: NASA
    • Batschelet, E. (1981). Circular statistics in biology. London: Academic Press.
    • Begon, M. (1983). Abuses of mathematical techniques in Ecology: applications of Jolly's capture-recapture method. Oikos, 40, 155-158.
    • Birdlife International. (2000). European Bird Census Council: European bird populations: estimates and trends. Cambridge, UK: BirdLife International (BirdLife Conservation Series No. 10).
    • Buckland, S.T. (1987). On the variable circular plot method of estimating animal density. Biometrics, 43, 363- 384.
    • Burnham, K.P., Anderson, D.R., Laake, J.L. (1980). Estimation of density from line transect data. Wildlife Monograph, 72, 94-99.
    • Chao, A. (1989). Estimating population size for sparse data in capture-recapture experiments. London: Willey & Sons.
    • Chao, A. (1987). Estimating the population size for capture-recapture data with unequal catchability. Biometrics, 43(4), 783-792.
    • Chapman, D.G. (1951). Some properties of the hypergeometric distribution with applications to zoological sample censuses. Univ. of California Publ. Stat., 1(7), 131-160.
    • Cormack, R.M. (1989). Log-linear models for capture-recapture. Biometrics, 45(2), 395-414.
    • Crain, B.R., Burnham, K.P., Anderson, D.R. (1989). Nonparametric estimation of population density for line transect sampling using Fourier series. Biometrical Journal, 21, 731-748.
    • Engeman, R.M., Sugihara, R.T., Pank, L.F. (1994). A comparison of plotless density estimators using Monte Carlo simulation. Ecology, 75(6), 1769-1779.
    • Ensign, W.E., Angermeier, P.L., Dolloff, C.A. (1995). Use of line transect methods of estimate abundance of benthic stream fishes. Can. J. Fish. Aq. Sci., 52(1), 213-222.
    • Erni, B., Liechti, F., Underhill, L.G. (2002). Wind and rain govern the intensity of nocturnal bird migration in central Europe - a log-linear regression analysis. Ardea, 90, 155-166.
    • European bird populations: estimates and trends. (2004). BirdLife Conservation Series No. 10. Cambridge: BirdLife International.
    • Gadagkar, R. (2005). An undesirable property of Hill's index N2. Oecologia, 80, 140-141.
    • Geisser, P.H., Sauer, J.R., (1990). Topics in route-regression analysis. In: Survey designs and statistical methods for the estimation of avian populations trends (pp. 85-97). Washington: U.S. Fish and Wildlife service.
    • Guisan, A., Zimmermann, N.E. (2000). Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
    • Hurvich, C.M., Tsai, C.L. (1989). Regression and time series model selection in small samples. Biometrika, 76, 297-307.
    • Hutchinson, G.E., MacArthur, R.H. (1959). A Theoretical Ecological Model of Size Distribution among Species of Animal. American Nature, 93, 117-125.
    • Jackson, D.A., Somers, K.M., Harvey, H.H. (1989). Similarity coefficients: measures of co-occurence and association or simply measures of occurrence? Amer. Nat., 133, 436-453.
    • Kelley, J.R. (2000). Line-transect sampling for estimating breeding wood duck density in forested wetlands. Wildlife Soc. Bull., 24(1), 32-36.
    • Kendall, M.G., Moran, P.A.P. (1963). Geometrical probability. London: Griffin.
    • Kendall, M.G., Ord, J.K. (1990). Time series (3rd Ed.). London: Griffin.
    • Keuls, M., Over, H.I., de Wit, C.T. (1998). The distance method for estimating densities. Statistica Neerlandica, 17, 71-91.
    • Lebreton, J.D. Modeling survival and testing biological hypotheses using marked animals: A unified approach with case studies / J.D. Lebreton, K.P. Burnham, J. Clobert // Ecological Monographs. - 1992. - Vol. 62(1). - P. 67-118.
    • Leslie, P.H., Chitty, D. (1951). The estimation of population parameters from data obtained by means of the capture-recapture method. 1. The maximum likelihood equations for estimating the death-rate. Biometrika, 38, 269-292.
    • Leslie, P.H. (1952).The estimation of population parameters from data obtained by means of the capturerecapture method II. The estimation of total numbers. Biometrika, 39, 363-388.
    • Liechti, F., Klaassen, M., Bruderer, B. (2000). Predicting migratory flight altitudes by physiological migration models. Auk, 117, 205-214.
    • Lincoln, F.C. (1971). Calculating waterfowl abundance on the basis of banding returns. U.S.D.A. Circ., 118, 1-4.
    • Montgomery, D.C., Johnson, L.A., Gardiner, J.S. (1990). Forecasting and time series analysis (2nd Ed.). New York: McGraw-Hill.
    • Morisita, M. (1957). A new method for the estimation of density by spacing method applicable to nonrandomly distributed populations. Physiology and Ecology, 7, 134-144.
    • Mouritsen, H. (2003). Spatiotemporal orientation strategies of long-distance migrants. In: Avian Migration (P. Berthold, E. Gwinner, E. Sonnenschein, Eds.) (pp. 4930513). Berlin, Heidelberg: Springer-Verlag.
    • Pennycuick, C.J. (1975). Mechanics of flight. Avian Biology, 5, 1-75.
    • Pennycuick, C.J. (1989). Bird flight performance: a practical calculation manual. Oxford: Oxford University Press.
    • Pennycuick, C.J. (1996). Wingbeat frequency of birds in steady cruising flight: new data and improved predictions. J. Exp. Biology, 199, 1613-1618.
    • Pennycuick, C.J. (1998). Field observations of thermals and thermal streets, and the theory of cross-country soaring flight. Journal of Avian Biology, 29, 33-43.
    • Pollock, K.H., Nichols, J.D., Brownie, C. (1990). Statistical inference for capture-recapture experiments. Wildlife Monographs, 107, 1-98.
    • Prairie, Y.T. (1996). Evaluating the predictive power of regression models. Can. J. Fish and Aquat. Sci., 3, 490-492.
    • Safriel, U.N., Lavee, D. (1998). Weight changes of cross-desert migrants at an oasis - do energetic considerations alone determine the length of stopover? Oecologia, 76, 611-619.
    • Schmidt-Koenig, K. (1979). Avian Orientation and Navigation. New York: Academic Press.
    • Seber, G.A.F. (1968). A review of estimating animal abundance. Biometrics, 1986, 267-292.
    • Seber, G.A.F. (1982). The estimation of animal abundance and related parameters. London: Griffin.
    • Southwell, C., Weaver, K. (1999). Evaluation of analytical procedures for density estimation from linetransect data: Data grouping, data truncation and the unit of analysis. Wildlife Research, 20(4), 433- 444.
    • STATISTICA. (2002). Electronic manual. Bedford: StatSoft, Inc.
    • SYSTAT. (1989). Evanston: SYSTAT, Inc.
    • Ter Braak, C.J.F., van Strien, A.J., Meijer, R. (1998). Analysis of monitoring data with many missing values: which method? In: The European Union and Biodiversity (W. Hagemeijer, Ed.). Brussels: Friends of the Earth & EEB.
    • Tonhasca, А. (1994). Diversity indices in the analysis of biological communities. Cienc. et cult., 3, 138-140.
    • Underhill L.G. Indices for waterbird populations // BTO Research Report / L.G. Underhill. - London: Brit. Press, 1989. - P. 33-51.
    • Van den Bossche, W., Katz, M., Querner, U. (1999). Satellite tracking of white storks Ciconia ciconia. Proceedings of the 22nd International Ornithological Congress, Durban.
    • Verstrael, T. (1997). Bird Numbers. Distribution, Monitoring and Ecological Aspects. Proceeding 12th International Conference of IBCC and EOAC. Statistics Netherlands, Voorburg & SOVON, BeekUbbergen.
    • Welham, C.V.J. (1994). Flight speeds of migrating birds: a test of the maximum range speed predictions from three aerodynamic equations. Behavioral Ecology, 5, 1-8.
    • Welkinson, D.M. (1998). Relationship between species richness and rarity in Welsh aquatic flora. Watsonia, 22, 29-32.
    • White, G.C., Anderson, D.R., Burnham, K.P. (1982). Capture-recapture and removal methods for sampling closed populations. Los Alamos, New Mexico: Los Alamos National Laboratory.
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