A manutenção do crescimento da produção agropecuária e redução dos impactos dessa produção sobre os recursos naturais tem se tornado um dos grandes desafios da humanidade. Esta pesquisa tem como objetivo caracterizar a variação da comunidade de aves entre áreas pastoris e em remanescentes florestais adjacentes avaliando o impacto desta mudança de uso na diversidade de espécies. Através deste estudo também será discutida a metodologia de monitoramento acústico passivo (MAP) para “avaliação rápida” da biodiversidade nas paisagens rurais do Bioma Mata Atlântica. Os dados foram coletados em dois habitats (Floresta e Pastagem) em quatro propriedades rurais no estado de Santa Catarina, Brasil. Gravadores foram instalados simultaneamente em dois pontos diferentes em cada habitat durante dois dias em cada um dos seis períodos experimentais, na primavera e verão 2016/17. Foram registradas 97 espécies de aves pertencentes a 44 famílias. No habitat floresta foram identificadas 77 espécies e na pastagem 48, com 28 espécies ocorrendo nos dois habitats. O número de espécies encontradas reflete as consequências da perda de habitat no Bioma Mata Atlântica. As avaliações com MAP foram inequívocas com relação ao impacto das atividades agropecuárias na biodiversidade de aves. Mesmo diante da ampla descaracterização da vegetação nos habitats, uma avifauna relativamente rica ainda pode ser observada na área de floresta.

Maintaining the growth of agricultural production and reducing the impacts of this production on natural resources has become one of the great challenges of humanity. This research aims to characterize the variation of the bird assembly between pastoral areas and adjacent forest remnants, evaluating the impact of this land use change on birds diversity. This study will also discuss the methodology of passive acoustic monitoring (MAP) for "rapid assessment" of biodiversity in the rural landscapes of the Atlantic Forest Biome. The data were collected in two habitats (Forest and Pasture) on four rural properties in the state of Santa Catarina, Brazil. Recorders were simultaneously installed within these two habitats at two different points for two days in each field visit, in spring and summer of 2016/17. There were 97 species of birds belonging to 44 families. In the forest habitat were found 77 species and in the 48 pasture, with 28 species in the two habitats. In this study it was verified that the number of species found reflects the consequences of habitat losses in the Atlantic Forest Biome. The MAP assessments were unequivocal in relation to the impact of farming activities on bird biodiversity. Even in the face of the widespread decharacterization of the natural vegetation, a rich avifauna can still be observed in the forest area.

Abstract The majority of Atlantic Forest fragments in Southern Brazil are second-growth forests dominated by fast-growing species with considerable market-value timber. Nevertheless, volume prediction models are scarce, especially to estimate tree total volume (i.e., stem plus branches). This study approached the issue through the following aims: to fit and select stem and total volume models (generic and species-specific) using data from 288 harvested trees in a management operation, and to fit generic and species-specific bark factors. The power model embedding diameter at breast height (D) and tree stem or total height (H) presented the greatest prediction strength for both stem and total tree volume. Models including only D to predict total tree volume were similar to double-entry models regarding goodness-of-fit. Therefore, they may be useful in the context of subtropical closed-canopy forests, where the difficulty and uncertainty in H measurements are not trivial. Species-specific models fitted for Miconia cinnamomifolia (DC) Naudin. and Hyeronima alchorneoides Allemão surpassed generic models only for the former species. Nevertheless, the prediction improvement should offset the eventual extra efforts implied in the collection of reliable samples of these species. Finally, bark factors stood as a satisfactory tool for inside bark mean volume estimation.