Abstract:Composed of two main forest formations, Ombrophilous Forest and Seasonal Forest, the Brazilian Atlantic Forest biome is constituted currently by a mosaic of forest remnants and secondary vegetation. Representatives of the Ponerinae ant genus Neoponera are observed mainly in both wet and seasonally dry forests. The aim of this study was to approach the diversity of the genus Neoponera in the north of the Atlantic Forest of Brazil (from the extreme north of its distribution to the Doce River hydrographic basin i… Show more
“…In recent years, great advances have been made in this kind of study, allowing inferring the history of distribution based on phylogenetic analyzes, such as on Myrmicinae (Ward et al, 2014). A range of taxonomic studies by biogeographical regions (Ladino & Feitosa, 2020), new occurrences, and records (Dias & Lattke, 2019;Fernandes & Delabie, 2019;Franco, et al, 2019), invasive species (Chen & Adams, 2018), and diversity (Koch et al, 2020;Silva et al, 2020) can also be found. In addition, modeling distribution studies on Formicidae have gained space, under the following names and techniques: potential distribution modeling (Murphy & Breed, 2007;Koch et al, 2018), niche modeling (Peterson & Nakazawa, 2007), paleodistribution (Cristiano et al, 2016), and projections of future scenarios (Jung et al, 2017).…”
The state of the art of Formicidae biogeographic studies using distribution modeling tools was reviewed. We aimed to evaluate how and for what purpose such tools were used in ant studies, as well as detecting modeling methods, algorithms, and variables selected for these studies. We analyzed papers published from 2001 to 2021 and focused on predicting invasion risks, conservation, and potential distribution of species. We also considered the mechanistic and correlative approaches, types of algorithms, and environmental variables. We observed that modeling is first used to predict invasion risks before conservation. The correlative approach was the most used, although it does not consider biotic or physiological aspects as the mechanistic approach does. The most used algorithm was Maxent, combining data set of occurrences with climatic variables. Nine studies used combinations of algorithms with consensual models. Research using modeling has been conducted more and more. However, it remains still incipient, mainly regarding conservation, as the current distribution of most of the Formicidae species is not well known. Although not frequently used in ant studies, distribution modeling represents an important approach for research in biogeography, ecology, and related areas. Certain perspectives could be useful, for example, for studying climatic changes, since possible variations in ant distributions, if anticipated, could suggest or guide further investigations or decision-making in public policies.
“…In recent years, great advances have been made in this kind of study, allowing inferring the history of distribution based on phylogenetic analyzes, such as on Myrmicinae (Ward et al, 2014). A range of taxonomic studies by biogeographical regions (Ladino & Feitosa, 2020), new occurrences, and records (Dias & Lattke, 2019;Fernandes & Delabie, 2019;Franco, et al, 2019), invasive species (Chen & Adams, 2018), and diversity (Koch et al, 2020;Silva et al, 2020) can also be found. In addition, modeling distribution studies on Formicidae have gained space, under the following names and techniques: potential distribution modeling (Murphy & Breed, 2007;Koch et al, 2018), niche modeling (Peterson & Nakazawa, 2007), paleodistribution (Cristiano et al, 2016), and projections of future scenarios (Jung et al, 2017).…”
The state of the art of Formicidae biogeographic studies using distribution modeling tools was reviewed. We aimed to evaluate how and for what purpose such tools were used in ant studies, as well as detecting modeling methods, algorithms, and variables selected for these studies. We analyzed papers published from 2001 to 2021 and focused on predicting invasion risks, conservation, and potential distribution of species. We also considered the mechanistic and correlative approaches, types of algorithms, and environmental variables. We observed that modeling is first used to predict invasion risks before conservation. The correlative approach was the most used, although it does not consider biotic or physiological aspects as the mechanistic approach does. The most used algorithm was Maxent, combining data set of occurrences with climatic variables. Nine studies used combinations of algorithms with consensual models. Research using modeling has been conducted more and more. However, it remains still incipient, mainly regarding conservation, as the current distribution of most of the Formicidae species is not well known. Although not frequently used in ant studies, distribution modeling represents an important approach for research in biogeography, ecology, and related areas. Certain perspectives could be useful, for example, for studying climatic changes, since possible variations in ant distributions, if anticipated, could suggest or guide further investigations or decision-making in public policies.
The genus Phyllodytes, endemic to the Atlantic Forest, stands out for its life cycle being closely associated with bromeliads. Since the 2000s, the number of species in the group has more than doubled and the number is still increasing, a fact proven here with the description of Phyllodytes iuna sp. nov. This species, herein described using morphological and molecular evidence, is endemic to the Atlantic Forest of southern Bahia, in the northern portion of the Atlantic Forest Central Corridor. Phyllodytes iuna differs from both its sister species and most of its congeners by the color pattern on the dorsum and by the presence of a single tubercle in the tibiotarsal region. The genetic distance for a fragment of the 16S gene ranged from 4.4% to 5.0% between Phyllodytes iuna and its sister species (P. brevirostris and P. edelmoi), and from 5.8% to 14.2% with its congeners. The description of a new species of Phyllodytes serves as a reminder that our understanding of the group’s diversity is far from complete. Despite the alarming rates of deforestation, the Atlantic Forest continues to hold significant untapped potential for unexplored biodiversity.
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