Protected areas are not effective for the conservation of freshwater insects in Brazil

Biodiversity conservation has faced many challenges, especially the conversion of natural areas that compete with use for agriculture, energy production and mineral extraction. This problem is further aggravated by lack of knowledge of the biodiversity that exists and the geographical distribution of different groups. The objectives of our study were to examine the distributional pattern of Gerromorpha diversity in Brazil, create a map of conservation priority areas, estimate the degree of protection that the current network of protected areas guarantees to this insect group, and identify the size thresholds in geographical distributions that would allow species to be protected. We used species occurrences from the Water Bugs Distributional Database, and we used 19 bioclimatic variables to build models of the potential distributions of species using the MaxEnt program. Using the potential model results, we calculated diversity metrics and overlapped them with the current state and federal “conservation units” (protected areas for biodiversity) in Brazil. Total beta diversity and turnover portions were separated into two faunistic groups, one in northern and the other in southern Brazil. The Amazon has higher beta diversity than what was predicted by the null models. We detected a positive relationship between species distribution area and occurrence in conservation units. Conservation units with less than 250 km2 do not protect Gerromorpha species. Our results reinforce the necessity of formulating new conservation strategies for this group, contemplating species with both restricted and ample distributions, because rare and specialist species are the most harmed by habitat reduction, given that they are more sensitive to environmental disturbance.

An annotated checklist of millipede fauna from Slovakia, with ecological and biogeographic characteristics

Two decades have passed since the publishing of the last checklist of the millipedes of Slovakia. During this time, several new faunistic records have been added and taxonomic revisions have occurred. The present updated checklist summarises data on all millipede species recorded in Slovakia, including altogether 93 species. For each species, general habitat characteristics, ecological classification and distributional pattern are provided. Ecological classification is presented for the first time for the millipede species occurring in Slovakia and is proposed as a tool for ecological studies and for the nature protection purposes. Special remarks are given to the species newly found for Slovakia, Geoglomeris subterranea Verhoeff, 1908, Brachyiulus lusitanus Verhoeff, 1898, Cylindroiulus britannicus (Verhoeff, 1891), C. parisiorum (Brölemann & Verhoeff, 1896) and Polydesmus burzenlandicus Verhoeff, 1925, as well as to C. arborum Verhoeff, 1928, the species newly confirmed for Slovakia after more than 70 years.

The Income Gradient in Mortality during the Covid-19 Crisis: Evidence from Belgium

We use population-wide data from linked administrative registers to study the distributional pattern of mortality before and during the first wave of the Covid-19 pandemic in Belgium. Over the March-May 2020 study period, excess mortality is only found among those aged 65 and over. For this group, we find a significant negative income gradient in excess mortality, with excess deaths in the bottom income decile more than twice as high as in the top income decile for both men and women. However, given the high inequality in mortality in normal times, the income gradient in all-cause mortality is only marginally steeper during the peak of the health crisis when expressed in relative terms. Leveraging our individual-level data, we gauge the robustness of our results for other socioeconomic factors and decompose the role of individual vs. local effects. We provide direct evidence that geographic location effects on individual mortality are particularly strong during the first wave of the Covid-19 pandemic, channeling through the local number of Covid infections. This makes inference about the income gradient in excess mortality based on geographic variation misguided.

From Green Spaces to Squares: Mapping the Distribution of Taijiquan Organizations in London

Contributing to Taijiquan studies, this research uses spatial analysis tools in ArcGIS 10.3 and SPSS 23.0 to map out the spatial distributional pattern of the Taijiquan organizations in London, and then explores factors attributing to the spatial distribution of Taijiquan culture. The result shows that the distribution of Taijiquan organizations in London generally presents a spatial distribution structure of “dense center + sparse periphery”; the spatial distribution is unbalanced, showing a cohesive distribution; the directional distribution tends to be obvious in areas that are proximate to urban traffic arteries and afforestation in London. Through multivariate hierarchical regression analysis, the study explores the influential factors for the spatial distribution of Taijiquan organizations in London. The results show that: population size, economic level, and education level have little influence on the spatial distribution of Taijiquan organizations; however, the population density of people over 65 years old, the accessibility of public service facilities such as green spaces, and public urban traffic has a significant impact on the spatial distribution of Taijiquan organizations.

Evolution of andrenine bees reveals a long and complex history of faunal interchanges between the Americas during the Mesozoic and Cenozoic

Bees are presumed to have arisen in the early to mid-Cretaceous coincident with the fragmentation of the southern continents and concurrently with the early diversification of the flowering plants. Among the main groups of bees, Andreninae sensu lato comprise about 3000 species widely distributed with greatest and disjunct diversity in arid areas of North America, South America, and the Palearctic region. Here, we present the first comprehensive dated phylogeny and historical biogeographic analysis for andrenine bees, including representatives of all currently recognized tribes. Our analyses rely on a dataset of 106 taxa and 7952 aligned nucleotide positions from one mitochondrial and six nuclear loci. Andreninae is strongly supported as a monophyletic group and the recovered phylogeny corroborates the commonly recognized clades for the group. Thus, we propose a revised tribal classification that is congruent with our phylogenetic results. The time-calibrated phylogeny and ancestral range reconstructions of Andreninae reveal a fascinating evolutionary history with Gondwana patterns that are unlike those observed in other subfamilies of bees. Andreninae arose in South America during the Late Cretaceous around 90 Million years ago (Ma) and the origin of tribes occurred through a relatively long time-window from this age to the Miocene. The early evolution of the main lineages took place in South America until the beginning of Paleocene with North American fauna origin from it and Palearctic from North America as results of multiple lineage interchanges between these areas by long-distance dispersal or hopping through landmass chains. Overall, our analyses provide strong evidence of amphitropical distributional pattern currently observed in Andreninae in the American continent as result at least three periods of possible land connections between the two American landmasses, much prior to the Panama Isthmus closure. The andrenine lineages reached the Palearctic region through four dispersal events from North America during the Eocene, late Oligocene and early Miocene, most probably via the Thulean Bridge. The few lineages with Afrotropical distribution likely originated from a Palearctic ancestral in the Miocene around 10 Ma when these regions were contiguous, and the Sahara Desert was mostly vegetated making feasible the passage by several organisms. Incursions of andrenine bees to North America and then onto the Old World are chronological congruent with distinct periods when open-vegetation habitats were available for trans-continental dispersal and at the times when aridification and temperature decline offered favorable circumstances for bee diversification.

Continuous neural activations of embodied-linguistic representations in modality switching costs

Modality switching costs (MSCs) are one of the classic effects that support the embodied views of conceptual representations. They refer to a delay in response time to verify a sensory property of a certain perceptual modality (e.g., visual: SUN – bright), when the previous sensory property has been of a different modality (e.g., auditory: BLENDER – loud) compared to a property of the same modality (e.g., visual: ROSE – red). Such costs indicate that conceptual representations require the recruitment of modality-specific resources. However, MSCs could also result from the distributional pattern of property words: the reason why loud -> bright takes longer than red -> bright could be because bright and loud do not co-occur in the same linguistic context as frequently as bright and red. In the present study, we examined how well MSCs were predicted by an embodied model (switch / no-switch between perceptual modalities) versus a linguistic model (switch / no-switch between linguistic distributional clusters), in behavioural (RT) and continuous event-related EEG potentials (ERP) paradigms. The behavioural data supported the linguistic model in explaining MSCs and found MSCs to be moderated by the target modality, the ERPs showed that linguistic distributional pattern played a crucial role in the neural activations of MSCs. What used to be found as a result of perceptual switching (e.g., "early N400" effect) could be better explained by the linguistic model. The embodied component was activated later than the linguistic component, accounting for activations associated with semantic representation (typically in N400 area). Later during processing, both components were active for decision making (often manifested as LPC).

Continuous neural activations of simulation and linguistic information during metaphor processing

Language processing relies on conceptual representations which are composed of two crucial components, embodied simulation and linguistic distributional pattern. The embodied component refers to the reactivation of previous sensorimotor experiences related to the concept (e.g., experiences with a clever student when reading "bright student"); the linguistic component refers to the co-occurrence pattern of the constituent words (i.e., how often "bright" and "student" appear in the same context). In this study, we examined the existence and roles of these components in metaphor processing. Using both a behavioural study and EEG, we studied how these components affected the speed, success rate and neurophysiological activations of metaphor comprehension. We found that, while performance of metaphor comprehension was mainly influenced by the embodied component, the linguistic component was activated before the embodied component reached its peak and could act as a shortcut to construct good-enough representations, such that people found it easier to accept and hard to reject a metaphor when the distributional frequency of constituent words was high. In other words, the linguistic distributional pattern could provide a guide for conceptual representations before the embodied component was fully engaged.

Pathologic Characteristics of Pregnancy-Related Meningiomas

Meningiomas are the most common intracranial tumor. During pregnancy, explosive growth of a known meningioma occasionally occurs, but the underlying reasons remain unknown. Prolactin has been suggested as a possible key contributor to pregnancy-related meningioma growth. This study sets out to investigate prolactin and prolactin receptor status in 29 patients with pregnancy-related meningiomas in Denmark, from January 1972 to December 2016, as compared to 68 controls aged 20–45 years, also undergoing resection of a meningioma. Furthermore, we investigated potential differences in the progesterone and estrogen receptor statuses, WHO grade, Ki-67 labeling indices, and locations of the resected meningiomas between the cases and controls. Immunohistochemical analyses were performed, and histopathology and intracranial location were assessed with the investigator blinded for the case–control status. None of the samples stained positive for prolactin and very few samples stained positive for prolactin receptors, equally distributed among cases and controls. Estrogen and progesterone receptors generally followed the same distributional pattern between groups, whereas above cut-point Ki-67 labeling indices for both groups were observed. In conclusion, our results did not support the notion of prolactin as a key contributor to pregnancy-related meningioma growth. Rather, the similarities between the cases and controls suggest that meningiomas early in life may comprise a distinct biological entity.

Are Protected Areas Effective In the Conservation of Priority Areas for Freshwater Insects In Brazil?

Biodiversity conservation has faced many challenges, especially the conversion of natural areas that compete with use for agriculture, energy production and mineral extraction. This problem is further aggravated by lack of knowledge of the biodiversity that exists and the geographical distribution of different groups. The objectives of our study were to examine the distributional pattern of Gerromorpha diversity in Brazil, create a map of conservation priority areas, measure the importance level of the current network of protected areas, and identify the size thresholds in geographical distributions that would allow species to be protected. We used species occurrences from the Water Bugs Distributional Database, and we used 19 bioclimatic variables to build models of the potential distributions of species using the MaxEnt program. Using the potential model results, we calculated diversity metrics and overlapped them with the current state and federal “conservation units” (protected areas for biodiversity) in Brazil. Total beta diversity and turnover portions were separated into two faunistic groups, one in northern and the other in southern Brazil. The Amazon has higher beta diversity than what was predicted by the null models. We detected a positive relationship between species distribution area and occurrence in conservation units. Conservation units with less than 250 km² do not protect Gerromorpha species. We reinforce the necessity of formulating new conservation strategies for this group, contemplating species with both restricted and ample distributions, because rare and specialist species are the most harmed by habitat reduction, given that they are more sensitive to environmental disturbance.