A Bivariate Normal Test for Elliptical Home-Range Models: Biological Implications and Recommendations

作者: Winston P. Smith

DOI: 10.2307/3808599

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摘要: I propose a goodness-of-fit test to evaluate compliance of the spatial distribution activity with bivariate normality. Home-range data for 2 Columbian white-tailed deer fawns (Odocoileus virginianus leucurus) were subjected this test. The 1 fawn departed significantly from expected; other did not. J. WILDL. MANAGE. 47(3):613-619 study home ranges and territories (Burt 1943) has become an increasingly prominent approach elucidating intraand interspecific ecological phenomena among terrestrial vertebrates, notably rodents (Randolph 1977, O'Farrell 1978), insectivores (Hawes 1977), cervids (Robinette 1966, Martinka 1969, Miller 1970, Phillips et al. 1973, Inglis 1979), canids (Ables 1968, Fuller 1978, Andelt Gipson 1979, Keith 1980), felids (Hornocker Bailey 1975), ursids (Pearson 1975, Landers mustelids (Mitchell 1961, Shirer Fitch Storm 1972), procyonids (Shirer Urban 1970), didelphids (Verts 1963, leporids (Rongstad Tester 1971, Trent Rongstad 1974), fringillids (Wasserman parulids (Zach Falls iguanids (Waldschmidt 1979). Generally, methods evaluating areas (home range or territory size) have been used: nonstatistical (polygon) techniques statistical models that calculate assumption locational follow some probabilistic (Stickel 1954). elliptical home-range proposed by Jennrich Turner (1969) Koeppl (1975) gained general acceptance Randolph Zach Gavin Waldschmidt Danner Smith 1980, Wasserman 1980). These use similar algorithms are dependent upon normal distribution. G, G2 statistics (Sokal Rohlf 1969:113) used conformance However, skewness (GI) kurtosis (G2) represent properties marginal (univariate) distributions accordance univariate normality does not generally imply joint (Neter 1974:395). This paper presents technique In addition description method its application, example sets obtained telemetrymediated direct observations marked evaluated. Moore Stubblebine (1981) described theoretical basis chisquare multivariate applications in economics. Here present technique, derived IPresent address: Department Biological Sciences, Southeastern Louisiana University, Hammond, LA 70402. Wildl. Manage. 47(3):1983 613 content downloaded 157.55.39.111 on Sat, 17 Sep 2016 05:33:05 UTC All subject http://about.jstor.org/terms 614 A TEST FOR HOME RANGE MODELS *

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