VETINDEX

Periódicos Brasileiros em Medicina Veterinária e Zootecnia

p. 93-108

Richness, breeding environments and calling activity of the anurofauna of the lower moa river forest, state of Acre, Brazil

Miranda, Daniele Bde Albuquerque, SaymonTurci, Luiz Carlos BBernarde, Paulo S

In state of Acre, most anuran research has been carried out in areas of terra firme, whereas alluvial forests remain relatively unexplored. We document the richness, breeding environments and calling season of the anurans of the Lower Moa River in the Alto Juruá (state of Acre), a region considered to harbor high biodiversity. Sampling was conducted in two main areas with different forest typologies (Terra firme forest and Alluvial forest), totaling 256 ha. The diversity of anurans was analyzed using the Shannon-Wiener index, evenness and Berger - Parker dominance. The anurans were sampled from October 2008 to September 2009, using the following sampling methods: sampling at breeding sites, pitfall traps, time constrained visual search during the day (TCVSD); at night (NVTCS) and active search (AS). Fifty anuran species, belonging to eight families, were recorded: Aromobatidae (2), Bufonidae (5), Hemiphractidae (1), Hylidae (25), Leptodactylidae (9), Microhylidae (4), Ranidae (1) and Craugastoridae (3). Pitfall traps totaling 1440 day-buckets in the year. DVTCS had a total sampling effort 72 hours/person/year; NVTCS - 72 hours/person/year and AS - 24 hours/person/year. Greater richness (35 species) was recorded in the alluvial forest, low diversity index and high dominance (H' = 1.69, J' = 0.51, d = 0.62). Most likely, these values were influenced by the high relative abundance of Rhinella margaritifera in this area. The richness of the alluvial forest may be associated with environmental heterogeneity according with the theory of intermediate disturbances. The breeding activity of most species occurred in lentic environments (lakes and temporary ponds) and during the rainy season. When sampling anurans in the Amazon it is important to use two or more sampling method and to consider the different forest typologies of this biome for a better characterization of its richness. (AU)

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