Pontes J A L, Figueiredo J P, Pontes R C, Rocha C F D
Departamento de Ecologia, Instituto de Biologia Roberto Alcantara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Braz J Biol. 2008 Aug;68(3):601-9. doi: 10.1590/s1519-69842008000300018.
We studied the species composition of the snake community of Serra do Mendanha, in Rio de Janeiro state, Southeastern Brazil, with an effort of 800 hours/man in different habitats, including undisturbed forest, secondary forest, areas under regeneration, and banana plantation. We sampled snakes monthly in the area using a combination of methods including intensive visual searching and pitfall traps with drift-fences. We found a total of 191 individuals of 27 snake species, belonging to four families: Boidae, Colubridae, Elapidae and Viperidae. In terms of species richness, the most speciose snake family in the area was Colubridae (85.2%; n = 23), followed by Viperidae (7.4%; n = 2), Boidae (3.7%; n = 1) and Elapidae (3.7%; n = 1) (Table 1). Quantitatively, the family Colubridae represented 81.7% (n = 156) of the total of individuals captured throughout the study, followed by Elapidae (13.1% of the individuals; n = 25), Viperidae (4.7%; n = 9) and Boidae (0.5%; n = 1). The data obtained in the study allowed a first approximation of the richness and composition of the snake fauna from Serra do Mendanha, including the records obtained during fieldwork in the present study and those of specimens deposited in Institutional Collections and detailed field data for each voucher specimen. All records are novel data for the area.
我们对巴西东南部里约热内卢州门达尼亚山脉蛇类群落的物种组成进行了研究,在包括未受干扰的森林、次生林、再生区域和香蕉种植园在内的不同栖息地投入了800人·时的工作量。我们每月在该区域使用多种方法对蛇进行采样,这些方法包括密集的目视搜索以及带有围栏的陷阱。我们共发现了27种蛇的191个个体,分属于四个科:蚺科、游蛇科、眼镜蛇科和蝰蛇科。就物种丰富度而言,该区域物种最丰富的蛇科是游蛇科(85.2%;n = 23),其次是蝰蛇科(7.4%;n = 2)、蚺科(3.7%;n = 1)和眼镜蛇科(3.7%;n = 1)(表1)。从数量上看,游蛇科占整个研究期间捕获个体总数的81.7%(n = 156),其次是眼镜蛇科(占个体总数的13.1%;n = 25)、蝰蛇科(4.7%;n = 9)和蚺科(0.5%;n = 1)。本研究获得的数据首次对门达尼亚山脉蛇类动物的丰富度和组成进行了大致描述,包括本研究实地调查期间获得的记录以及保存在机构标本馆中的标本记录和每个凭证标本的详细野外数据。所有记录都是该区域的新数据。