A Morphometric Analysis of the Sorex cinereus Group in Central and Eastern North America

Jong, C. G. van Zyll de; Kirkland, Gordon L.

doi:10.2307/1381674

Cited by 26 publications

(13 citation statements)

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“…Les spécimens furent utilisés notamment dans des révisions de la systématique et des inventaires qualitatifs de la faune mammalienne canadienne (van Zyll de Jong, 1983a, 1983b, 1986, 1991, 1992van Zyll de Jong et Kirkland, 1989 ;George et Smith, 1991 ;van Zyll de Jong et Nagorsen, 1994 ;Nagorsen et collab., 2000 ;Fedorov et Stenseth, 2002 ;Tessier et collab., 2004 ;Nagorsen et Panter, 2009 ;Nagorsen, 2011 ;Naughton, 2012) et dans des synthèses sur la répartition géographique des espèces (van Zyll de Jong, 1983b, 1985Dobbyn, 1994 ;COSEPAC, 2010 (Hafner et collab., 1997).…”

Section: A M M a L O G I E L'entre-deux-guerresunclassified

La collection de mammifères du Musée canadien de la nature : 100e anniversaire en 2012

Khidas¹

2012

natcan

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Le Musée canadien de la nature entretient des collections d’envergure nationale et internationale. L’année 2012 marque le centième anniversaire du développement soutenu de sa collection de mammifères. Par ses recherches et ses expéditions entreprises au Canada, le personnel scientifique du musée a collecté 46 % des spécimens de mammifères acquis à ce jour. Par ailleurs, les dons de spécimens faits par des organismes comptent pour 31 % de la collection. Les acquisitions de spécimens les plus nombreuses et l’organisation de l’information ont connu 2 périodes marquantes : de 1920 à 1939, et, surtout, de 1960 à 1985. Comptant maintenant 85 000 spécimens, la collection de mammifères du Musée canadien de la nature constitue une source majeure d’information pour les études sur la biodiversité canadienne et son évolution au cours du dernier siècle.

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Section: A M M a L O G I E L'entre-deux-guerresunclassified

La collection de mammifères du Musée canadien de la nature : 100e anniversaire en 2012

Khidas¹

2012

natcan

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“…They are particularly useful for studying populations at small geographic scales for which low levels of differentiation are expected and extensive sampling is required (Landry and Lapointe 2001). Owing to these characteristics, numerous studies have relied on such characters to either compare mammalian populations (Genov et al 1991, Okarma and Buchalczyk 1993, Lynch and Hayden 1995, Le Boulengé et al 1996, Landry and Lapointe 2001 or test species boundaries Kirkland 1989, van Zyll de Jong andNagorsen 1994).…”

Section: Introductionmentioning

confidence: 99%

“…For that reason, incomplete data matrices (ie including damaged specimens for which some variables could not be measured) are frequently obtained in craniometric studies (see for example, van Zyll de Jong and Kirkland 1989, Genov et al 1991, Okarma and Buchalczyk 1993, van Zyll de Jong and Nagorsen 1994, Lynch and Hayden 1995, Le Boulengé et al 1996, Landry and Lapointe 2001. To circumvent this issue, incomplete specimens are commonly discarded prior to statistical analyses (van Zyll de Jong and Kirkland 1989, Lynch and Hayden 1995, Landry and Lapointe 2001, or the variables with more than a fixed fraction of missing data (eg 10%) are ignored (Le Boulengé et al 1996). The exclusion of a number of specimens leads directly to a reduction of the total sample size.…”

Section: Introductionmentioning

confidence: 99%

“…The exclusion of a number of specimens leads directly to a reduction of the total sample size. That reduction might not be problematic for large samples, such as those provided by extensive museum collections (Koh andPeterson 1983, van Zyll de Jong andKirkland 1989). However, population studies often rely on limited samples, and the removal of valid but incomplete information (eg the deletion of 1 individual because of a single missing measurement) can severely hinder the results of the analyses.…”

Section: Introductionmentioning

confidence: 99%

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Missing data in craniometrics: a simulation study

Gauthier

Landry²,

Lapointe

2003

Acta Theriol

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J. 2003. Missing data in craniometrics: a simulation study. Acta Theriologica 48: 25-34.Craniometric measurements represent a useful tool for studying the differentiation of mammal populations. However, the fragility of skulls often leads to incomplete data matrices. Damaged specimens or incomplete sets of measurements are usually discarded prior to statistical analysis. We assessed the performance of two strategies that avoid elimination of observations: (1) pairwise deletion of missing cells, and (2) estimation of missing data using available measurements. The effect of these distinct approaches on the computation of inter-individual distances and population differentiation analyses were evaluated using craniometric measurements obtained from insular populations of deer mice Peromyscus maniculatus (Wagner, 1845). In our simulations, Euclidean distances were greatly altered by pairwise deletion, whereas Gower's distance coefficient corrected for missing data provided accurate results. Among the different estimation methods compared in this paper, the regression-based approximations weighted by coefficients of determination (r 2 ) outperformed the competing approaches. We further show that incomplete sets of craniometric measurements can be used to compute distance matrices, provided that an appropriate coefficient is selected. However, the application of estimation procedures provides a flexible approach that allows researchers to analyse incomplete data sets.Département de sciences biologiques, Université de Montréal C. P. 6128, Succ. centre--ville Montréal,

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“…Many of the papers since 1990 are unpublished theses and dissertations, reports, or other forms of "gray" literature of which we suspect the authors were personally aware. For more complete information on Sorex haydeni than that given on p. 75, interested readers should consult van Zyll de Jong and Kirkland (1989).…”

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confidence: 99%