Background: Signs left by some mammals such as tracks, trails, burrows, scratches, feces, hair, and others can be an important tool for species identification. This study was conducted in the Itirapina Ecological Station, in the southern Brazilian Cerrado, whose main objectives were to (1) compare the burrow morphometric variables of Cabassous unicinctus and Euphractus sexcinctus and (2) check for differences in the occurrence of foraging burrows in two different environments: areas with vegetation (shrubby grassland) and areas without vegetation (roads). The collected measures of armadillo's burrows have been width, height, depth, and angle relative to the soil. To record foraging burrows (<70 cm), the linear transect methodology was used simultaneously in roads and shrubby grassland environments. Results: In a shrubby grassland environment of the Itirapina Ecological Station, a density of 121 burrows/ha pertaining to C. unicinctus and of 277 to E. sexcinctus was observed. Although there is overlap between them, morphometric variables were used to measure the burrows; significant differences were observed in all: depth, p < 0.001; ratio, p < 0.001; perimeter of the ellipse (perimeter), p < 0.001; and angle of excavation relative to the soil, p < 0.001. There was an observed interaction between the variables p < 0.001 for Wilk test. The PCA analysis evidenced two highly distinct groups of burrows, which corresponded to the initial visual classification. The variance explained by axes 1 and 2 was 83.18 %. The variable that most influenced the distinction of the burrows of the species was the perimeter. There was a density of 114 foraging burrows/ha across the roads and 42 in shrubby grassland. The results of the ANOVA, p < 0.05, and Tukey test, p < 0.05, demonstrate significant difference between the mean densities of foraging burrows in the said environments. This indicates that armadillos use the area devoid of vegetation to feed. Conclusions: Thus, this study provides information that can assist in the surveys of these species as well as to clarify aspects of its ecology in the Cerrado.
Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal‐central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation‐related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data.
Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non‐detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non‐governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer‐reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non‐detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio‐temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large‐scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data.
Este artigo relata um estudo feito com duas fêmeas adultas de tamanduá-mirim (Tt1 e Tt2) que foram translocadas e monitoradas por radiotelemetria no Cerrado brasileiro. O deslocamento dos dois animais foi de, aproximadamente, 6 km em seis dias; ambos se estabeleceram em fi sionomias abertas de cerrado; Tt1 veio a óbito 21 dias após ser solto, não sendo possível determinar sua área de uso, e Tt2 sobreviveu por quatro meses, estabelecendo área de uso de 1,06 km² (MCP 95%). Constatou-se que há necessidade de mais estudos para avaliar a viabilidade das translocações e, para isso, devem se considerar as predições propostas pela International Union for Conservation of Nature.
Invasive species are the second cause of biodiversity decline in the world. Among the many invasive species, the Sus scrofa (wild boar) is amongst those that cause more impacts. Our aim was to report the presence of the wild boar in the last remaining open area of Cerrado in the São Paulo state, Brazil. In September 2007 an individual was seen and tracks were also observed during the same period at the Estação Ecológica de Itirapina.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.