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Activity pattern of medium and large sized mammals and density estimates of Cuniculus paca (Rodentia: Cuniculidae) in the Brazilian Pampa

Overview of attention for article published in Brazilian Journal of Biology, February 2018
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Title
Activity pattern of medium and large sized mammals and density estimates of Cuniculus paca (Rodentia: Cuniculidae) in the Brazilian Pampa
Published in
Brazilian Journal of Biology, February 2018
DOI 10.1590/1519-6984.174403
Pubmed ID
Authors

C. Leuchtenberger, Ê. S. de Oliveira, L. P. Cariolatto, C. B. Kasper

Abstract

Between July 2014 and April 2015, we conducted weekly inventories of the circadian activity patterns of mammals in Passo Novo locality, municipality of Alegrete, southern Brazil. The vegetation is comprised by a grassy-woody steppe (grassland). We used two camera traps alternately located on one of four 1 km transects, each separated by 1 km. We classified the activity pattern of species by the percentage of photographic records taken in each daily period. We identify Cuniculus paca individuals by differences in the patterns of flank spots. We then estimate the density 1) considering the area of riparian forest present in the sampling area, and 2) through capture/recapture analysis. Cuniculus paca, Conepatus chinga and Hydrochoerus hydrochaeris were nocturnal, Cerdocyon thous had a crepuscular/nocturnal pattern, while Mazama gouazoubira was cathemeral. The patterns of circadian activity observed for medium and large mammals in this Pampa region (southern grasslands) may reflect not only evolutionary, biological and ecological affects, but also human impacts not assessed in this study. We identified ten individuals of C. paca through skin spot patterns during the study period, which were recorded in different transects and months. The minimum population density of C. paca was 3.5 individuals per km2 (resident animals only) and the total density estimates varied from 7.1 to 11.8 individuals per km2, when considering all individuals recorded or the result of the capture/recapture analysis, respectively.

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Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 14%
Student > Master 10 13%
Researcher 10 13%
Student > Doctoral Student 5 6%
Student > Ph. D. Student 5 6%
Other 9 12%
Unknown 27 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 35%
Environmental Science 15 19%
Engineering 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Veterinary Science and Veterinary Medicine 1 1%
Other 2 3%
Unknown 29 38%