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.

Uma das unidades federativas com melhor conhecimento de sua flora, Santa Catarina é o primeiro estado a concluir o Inventário Florístico Florestal na atualidade. Coberto por Floresta Ombrófila Densa, Floresta Ombrófila Mista, Floresta Estacional Decidual e formações associadas, possui grande riqueza de espécies. Este trabalho visa apresentar as espécies de pteridófitas coletadas nas 563 unidades amostrais visitadas. Ao todo 324 espécies foram registradas, das quais 300 são samambaias e 24, licófitas. Estas pertencem a 29 famílias e 94 gêneros, sendo as famílias com maior riqueza específica Polypodiaceae (48 espécies), Pteridaceae (42) e Dryopteridaceae (38). Os gêneros com maior diversidade de espécies foram Asplenium e Thelypteris, com 27 espécies, seguido por Blechnum com 15. Destacam-se ainda 75 espécies consideradas endêmicas para o bioma. 18 registros novos para a flora de Santa Catarina foram feitos. A distribuição por região fitoecológica é a que segue: 288 espécies para a Floresta Ombrófila Densa (128 exclusivas desta região fitoecológica), 177 para a Floresta Ombrófila Mista (30 exclusivas) e 57 para a Floresta Estacional Decidual (três exclusivas). Foram registradas ainda 17 espécies para a restinga. Destaca-se a importância do registro de Asplenium lacinulatum, espécie coletada em área de intensa exploração imobiliária e novo registro para Santa Catarina e Alansmia senilis primeiro registro para o Sul do Brasil.

Santa Catarina is the first Brazilian state to complete its Forest and Floristic Inventory, and is considered one of the states with a well-known flora. This region is covered by evergreen tropical rain forest, Araucaria forest, seasonal deciduous forest and associated ecosystems, and shows high species richness. This paper presents a list of ferns collected in 563 sampling units. Altogether, 324 species were recorded (300 ferns and 24 lycophytes), which belong to 29 families and 94 genera. The most diverse families are Polypodiaceae (49 species), Pteridaceae (42), and Dryopteridaceae (38). Asplenium and Thelypteris are the most diverse genera, with 27 species each, followed by Blechnum (15). Of importance, too, are the 75 species considered endemic to the biome. Eighteen new records for the flora of Santa Catarina were made. The distribution of species according to the vegetation type is the following: 288 species occur in evergreen tropical rainforest (of which 128 are exclusive to this vegetation type); 177 species in Araucaria forest (30 exclusively) and 57 species in seasonal deciduous forest (3 exclusively). In addition, 17 species were recorded for restinga. A collection of Asplenium lacinulatum, from an area of intense development, is first record for Santa Catarina, and another of Alansmia senilis is the first record for the South Region of Brazil.