Redescription des types d' Utiaritichthys sennaebragai Miranda Ribeiro, 1937 et description d'une nouvelle espèce du bassin amazonien, U. longidorsalis (Characiformes, Serrasalmidae)

Les types d'#Utiaritichthys sennaebragai ont un corps allongé, et les deux séries de dents du prémaxillaire sont proches mais non accolées. Les specimens rapportés à #Utiaritichthys sennaebragai postèrieurement à sa description diffèrent des types notamment par la hauteur du corps, la forme et la position relative des dents des deux séries du prémaxillaire ainsi que par le nombre d'écailles sur le corps. Ces specimens sont rapprochés du taxon décrit par Machado-Allison (1982) et rapporté par erreur à #Utiaritichthys Utiaritichthys longidorsalis n. sp., décrit du bassin du Madeira (Brésil), et #U. sp., fondé sur un specimen du Sinnamary (Guyane Française), diffèrent de #U. sennaebragai par la longueur de la dorsale, le nombre de serrae préventrales et le nombre d'écailles sur le corps. #Utiaritichthys est un genre proche de #Myleus$ dont il se différencie par l'extrême allongement du corps dû au raccourcissement des ptérygiophores de la nageoire dorsale. (Résumé d'auteur

Sobre um novo Nicoletiidae (Zygentoma: Insecta) do Brasil vivendo com formigas lava-pés (Hymenoptera: Formicidae)

A new myrmecophilous silverfish (Zygentoma: Nicoletiidae: Subnicoletiinae) from Rio de Janeiro, Brazil, found living in fire ant (Solenopsis saevissima, Formicidae: Myrmicinae) nests is described: Allotrichotriura saevissima gen. nov. sp. nov. is compared with the other genera and subgenera known in the subfamily. The main diagnostic features would include the combination of body shape, body and head setation, morphology of praetarsus, and number of abdominal stylets and vesicles. Although further quests were attempted at the type-locality, only the original described material, exclusively composed of females, remains known.Descreve-se um novo Zygentoma (Nicoletiidae: Subnicoletiinae), mirmecófilo da formiga lava-pés Solenopsis saevissima (Formicidae: Myrmicinae) no Estado do Rio de Janeiro, Brasil: Allotrichotriura saevissima gen. nov. sp. nov. que é comparado com os géneros e subgéneros conhecidos na subfamília. As principais características diagnósticas respeitam a combinação da forma do corpo, quetotaxia cefálica e do corpo, morfologia do prétarso e número de estilos e vesículas abdominais. Embora prospecções recentes tenham sido levadas a cabo na localidade típica, apenas se conhece a amostra original, que integra exclusivamente fêmeas

Oscillating Economic Sphere: Sustainable Limits of the Biosphere in the Face of Climate Change

This paper proposes a new geometric model to facilitate the understanding of the complex interaction between the economic system and the limits of the biosphere. The concept of the oscillating economic sphere is based on a central parameter of the economy, the Gross Domestic Product (GDP). In the model a hypothetical sphere was built, in which its radius (re) corresponds to the world GDP (economic sphere), and another hypothetical sphere with radius (rb) is also introduced to represent the size of the biosphere (sphere of life), on this geometric construction, these spheres are concentric (rb > re). Therefore, an expansion of the economic sphere will occupy the biosphere, since the fundamentals of economy predict unlimited growth of GDP. Thus we will have a limit to be reached because the biophysical forces oppose this expansion, creating harmful environmental effects such as climate change

Different risk profiles for progression of nonproliferative diabetic retinopathy: a 2-year study

Characterization of 2-year progression of different risk phenotypes in eyes with mild and moderate nonproliferative diabetic retinopathy (NPDR) in type 2 diabetes (T2D). A 2-year prospective longitudinal cohort study (CORDIS, NCT03696810) was conducted. Ophthalmological examinations were performed including best corrected visual acuity, color fundus photography and optical coherence tomography (OCT and OCTA). OCT metrics, central retinal thickness and ganglion cell layer + inner plexiform layer (GCL + IPL) thickness were analyzed. OCTA metrics, vessel density (VD), perfusion density (PD) and area of intercapillary spaces (AIS) were obtained from superficial and deep capillary plexus (SCP, DCP). Only phenotype C identified by decreased VD ≥ 2 SD of healthy controls and phenotype B identified by subclinical macular edema with decreased VD < 2 SD of healthy controls were included. One hundred twenty-two eyes from T2D individuals were included in study; 65 eyes (53%) were classified as phenotype B and 57 eyes (47%) as phenotype C. For phenotype B, progression was associated with thinning of the GCL + IPL (ETDRS 35, 1 year p = 0.013, 2 year p < 0.001; ETDRS 43–47, 2 year p = 0.003) and vessel closure involving mainly the DCP for both ETDRS grades (ETDRS 35, 1 year p = 0.025, 2 year p = 0.034; ETDRS 43–47, 1 year p = 0.011). For phenotype C there was also progressive thinning of the GCL + IPL (ETDRS 35, in both years p ≤ 0.001; ETDRS 43–47, 1 year p = 0.002, 2 year p = 0.001), with vessel closure involving mainly SCP (ETDRS 35, 1 year p = 0.012, 2 year p = 0.023 in full-retina), which appeared to stabilize at maximal values in ETDRS grade 43–47 at the end of 2 years. ETDRS severity changes at the end of the 2-year period showed that worsening was associated with phenotype C with changes involving predominantly the SCP (VD, p = 0.005; PD, p = 0.008; AIS, p = 0.005). Association between ETDRS classification of NPDR severity and identification of different risk phenotypes offers new perspective to predict disease progression in T2D individuals with NPDR.info:eu-repo/semantics/publishedVersio

Wild dogs at stake: deforestation threatens the only Amazon endemic canid, the short-eared dog (Atelocynus microtis)

The persistent high deforestation rate and fragmentation of the Amazon forests are the main threats to their biodiversity. To anticipate and mitigate these threats, it is important to understand and predict how species respond to the rapidly changing landscape. The short-eared dog Atelocynus microtis is the only Amazon-endemic canid and one of the most understudied wild dogs worldwide. We investigated short-eared dog habitat associations on two spatial scales. First, we used the largest record database ever compiled for short-eared dogs in combination with species distribution models to map species habitat suitability, estimate its distribution range and predict shifts in species distribution in response to predicted deforestation across the entire Amazon (regional scale). Second, we used systematic camera trap surveys and occupancy models to investigate how forest cover and forest fragmentation affect the space use of this species in the Southern Brazilian Amazon (local scale). Species distribution models suggested that the short-eared dog potentially occurs over an extensive and continuous area, through most of the Amazon region south of the Amazon River. However, approximately 30% of the short-eared dog's current distribution is expected to be lost or suffer sharp declines in habitat suitability by 2027 (within three generations) due to forest loss. This proportion might reach 40% of the species distribution in unprotected areas and exceed 60% in some interfluves (i.e. portions of land separated by large rivers) of the Amazon basin. Our local-scale analysis indicated that the presence of forest positively affected short-eared dog space use, while the density of forest edges had a negative effect. Beyond shedding light on the ecology of the short-eared dog and refining its distribution range, our results stress that forest loss poses a serious threat to the conservation of the species in a short time frame. Hence, we propose a re-assessment of the short-eared dog's current IUCN Red List status (Near Threatened) based on findings presented here. Our study exemplifies how data can be integrated across sources and modelling procedures to improve our knowledge of relatively understudied species

Towards an applied metaecology

The complexity of ecological systems is a major challenge for practitioners and decision-makers who work to avoid, mitigate and manage environmental change. Here, we illustrate how metaecology - the study of spatial interdependencies among ecological systems through fluxes of organisms, energy, and matter - can enhance understanding and improve managing environmental change at multiple spatial scales. We present several case studies illustrating how the framework has leveraged decision-making in conservation, restoration and risk management. Nevertheless, an explicit incorporation of metaecology is still uncommon in the applied ecology literature, and in action guidelines addressing environmental change. This is unfortunate because the many facets of environmental change can be framed as modifying spatial context, connectedness and dominant regulating processes - the defining features of metaecological systems. Narrowing the gap between theory and practice will require incorporating system-specific realism in otherwise predominantly conceptual studies, as well as deliberately studying scenarios of environmental change. (C) 2019 Associacao Brasileira de Ciencia Ecologica e Conservacao. Published by Elsevier Editora Ltda.Peer reviewe

Spreading Patterns of the Influenza A (H1N1) Pandemic

We investigate the dynamics of the 2009 influenza A (H1N1/S-OIV) pandemic by analyzing data obtained from World Health Organization containing the total number of laboratory-confirmed cases of infections - by country - in a period of 69 days, from 26 April to 3 July, 2009. Specifically, we find evidence of exponential growth in the total number of confirmed cases and linear growth in the number of countries with confirmed cases. We also find that, i) at early stages, the cumulative distribution of cases among countries exhibits linear behavior on log-log scale, being well approximated by a power law decay; ii) for larger times, the cumulative distribution presents a systematic curvature on log-log scale, indicating a gradual change to lognormal behavior. Finally, we compare these empirical findings with the predictions of a simple stochastic model. Our results could help to select more realistic models of the dynamics of influenza-type pandemics