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| Pacheco,Marcelle; Kajin,Maja; Gentile,Rosana; Zangrandi,Priscilla L.; Vieira,Marcus V.; Cerqueira,Rui. |
| A major difficulty in the application of probabilistic models to estimations of mammal abundance is obtaining a data set that meets all of the assumptions of the model. In this paper, we evaluated the concordance correlation among three population size estimators, the minimum number alive (MNA), jackknife and the model suggested by the selection algorithm in CAPTURE (the best-fit model), using long-term data on three Brazilian small mammal species obtained from three different studies. The concordance correlation coefficients between the abundance estimates indicated that the probabilistic and enumeration estimators were highly correlated, giving concordant population estimates, except for one species in one of the studies. The results indicate the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Atlantic Rainforest; Capture-mark-recapture; Didelphimorphia; MNA; Rodentia. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000200008 |
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| Cerqueira,Rui; Kajin,Maja. |
| ABSTRACT Estimates of local population abundances, which require carefully designed sampling procedures, can provide valuable information on population size and density. Even though small mammals are one of the most widely studied vertebrate groups, many surveys have not recorded basic information to estimate local abundances, for instance catching effort. Here we suggest a simple comparative trapping frequency index that can be used as an alternative to the relative abundance index in data sets that only contain the number of species and individuals collected, thus lacking information on sampling effort. To compare trapping frequency and relative abundances we used capture records from more than four years, from seven species of rodents and two marsupial... |
| Tipo: Info:eu-repo/semantics/other |
Palavras-chave: Mammal collections; Population index; Removal; Trapping. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702015000400325 |
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| Almeida,Paulo J. A. L.; Vieira,Marcus V.; Kajin,Maja; Forero-Medina,German; Cerqueira,Rui. |
| A fundamental step in the emerging Movement Theory is the description of movement paths, and the identification of its proximate and ultimate drivers. The most common characteristic used to describe and analyze movement paths is its tortuosity, and a variety of tortuosity indices have been proposed in different theoretical or empirical contexts. Here we review conceptual differences between five movement indices and their bias due to locations errors, sample sizes and scale-dependency: Intensity of Habitat use (IU), Fractal D, MSD (Mean Squared Distance), Straightness (ST), and Sinuosity (SI). Intensity of Habitat use and ST are straightforward to compute, but ST is actually an unbiased estimator of oriented search and ballistic movements. Fractal D is... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Diffusion; Fractal dimension; Oriented search; Random walk; Search behaviour. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702010000500002 |
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