Ants, an ecologically successful and numerically dominant group of animals, play key ecological roles as soil engineers, predators, nutrient recyclers, and regulators of plant growth and reproduction in most terrestrial ecosystems. Further, ants are widely used as bioindicators of the ecological impact of land use. We gathered information of ant species in the Atlantic Forest of South America. The ATLANTIC ANTS data set, which is part of the ATLANTIC SERIES data papers, is a compilation of ant records from collections (18,713 records), unpublished data (29,651 records), and published sources (106,910 records; 1,059 references), including papers, theses, dissertations, and book chapters published from 1886 to 2020. In total, the data set contains 153,818 ant records from 7,636 study locations in the Atlantic Forest, representing 10 subfamilies, 99 genera, 1,114 ant species identified with updated taxonomic certainty, and 2,235 morphospecies codes. Our data set reflects the heterogeneity in ant records, which include ants sampled at the beginning of the taxonomic history of myrmecology (the 19th and 20th centuries) and more recent ant surveys designed to address specific questions in ecology and biology. The data set can be used by researchers to develop strategies to deal with different macroecological and region‐wide questions, focusing on assemblages, species occurrences, and distribution patterns. Furthermore, the data can be used to assess the consequences of changes in land use in the Atlantic Forest on different ecological processes. No copyright restrictions apply to the use of this data set, but we request that authors cite this data paper when using these data in publications or teaching events.
-(Comparing patterns of density, diameter, and species abundance in areas in restoration process). In ecology, studies are mainly of observational type; there is the interest that variables in question show patterns that might be described by probability functions. The parameters of the probability distributions can be used as a signature of ecological processes occurring in the forests. In the ecology of tropical forests, few variables have the same patterns in different areas. Are these variables relevant to study areas in restoration process? In the field, we installed 90 plots in three areas (two in restoration process and one reference ecosystem). All individuals with CAP ≥ 10 cm were measured and identified. We evaluated the empirical distributions of the variables: density, diameter at breast height, species abundance, and origin; and we fitted theoretical distributions. In the eight-year-old area, density was better described by Poisson distribution; in the 12-year-old area, negative binomial distribution; and there was no difference between these distributions in the reference ecosystem. Species abundance was better described by log-series model in the 12-year-old area, Poisson log normal in the reference ecosystem, and there was no difference between these distributions in the eight-year-old area. Weibull distribution was a good model for both areas, but parameters presented different estimates. Model fit and selection have great potential for restoration ecology. Keywords: distribution, forest, native origin, parameters RESUMO -(Comparando padrões de distribuição de densidade, diâmetro e abundância de espécies em áreas em processo de restauração). Estudos em ecologia são na maior parte observacionais, sendo de interesse que as variáveis em questão apresentem padrões que possam ser descritos por funções de probabilidade. Os parâmetros das distribuições de probabilidade podem ser usados como assinatura dos processos ecológicos que ocorrem nas florestas. Em ecologia de florestas tropicais, poucas variáveis apresentam os mesmos padrões em diferentes áreas. Seriam essas variáveis pertinentes para estudo de áreas em processo de restauração? Em campo, instalamos 90 parcelas em três áreas (duas em processo de restauração e um ecossistema de referência). Todos os indivíduos com CAP ≥ 10 cm foram medidos e identificados. Avaliamos as distribuições empíricas das variáveis densidade, diâmetro a 1,30 m de altura do solo, abundância de espécies e origem; e ajustamos a distribuições teóricas. Para a variável densidade, a melhor distribuição para oito anos foi Poisson; para 12 anos, binomial negativa e para ecossistema de referência não houve distinção entre essas distribuições; os melhores modelos foram os que consideraram cada área com própria estimativa dos parâmetros. Para a variável abundância de espécies, a melhor distribuição para 12 anos foi log-series; para o ecossistema de referência, foi poisson log normal; e para oito anos não houve distinção entre essas distribuições; os melhores modelos foram o...
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