Rosuvastatin beneficially alters the glomerular structure of kidneys from spontaneously hypertensive rats (SHRs)

The incidence of chronic renal diseases is increasing worldwide, and there is a great need to identify therapies capable of arresting or reducing disease progression. The current treatment of chronic nephropathies is limited to angiotensin-converting enzyme inhibitors and angiotensin receptor blockers, but increasing clinical and experimental evidence suggests that statins could play a therapeutic role. Ultrastructural studies have shown the presence of gap junctions within all the cells of the glomerulus and podocytes have been found to contain primarily connexin-43. The present study aims to observe the beneficial effects of rosuvastatin on structural and ultrastructural renal morphology and on glomerular connexin-43 expression in normotensive rats and spontaneously hypertensive rats (SHR). Rats were randomly allocated into four groups: WKY-C: normotensive animals no receiving rosuvastatin; WKY-ROS: normotensive animals receiving rosuvastatin; SHR-C: hypertensive animals no receiving rosuvastatin; SHR-ROS: hypertensive animals receiving rosuvastatin. Our results show no differences in blood urea, creatinine, uric acid and creatine phosphokinase levels between the groups, however, there was an decreasing of 24-h protein excretion in SHR-ROS. Capsular area in SHR-ROS was decreased, however, there was no alteration in urinary space. By transmission electron microscopy the slit diaphragm and podocyte foot processes were more preserved in SHR-ROS. By scanning electron microscopy the podocyte foot processes were more preserved in SHR-ROS. Increased connexin-43 immunofluorescence was observed in glomeruli of WKY-ROS and SHR-ROS. In conclusion, we hypothesize that renal pleiotropic effect of rosuvastatin can be a therapeutic tool for improving kidney ultrastructure and, consequently, renal function in hypertensive individuals.     

Essential oils from neotropical Myrtaceae: chemical diversity and biological properties

Myrtaceae family (121 genera, 3800-5800 spp.) is one of the most important families in tropical forests. They are aromatic trees or shrubs, which frequently produce edible fruits. In the neotropics, ca. 1000 species were found. Several members of this family are used in folk medicine, mainly as an antidiarrheal, antimicrobial, antioxidant, cleanser, antirheumatic, and anti-inflammatory agent and to decrease the blood cholesterol. In addition, some fruits are eaten fresh or used to make juices, liqueurs, and sweets very much appreciated by people. The flavor composition of some fruits belonging to the Myrtaceae family has been extensively studied due to their pleasant and intense aromas. Most of the essential oils of neotropical Myrtaceae analyzed so far are characterized by predominance of sesquiterpenes, some with important biological properties. In the present work, chemical and pharmacological studies carried out on neotropical Myrtaceae species are reviewed, based on original articles published since 1980. The uses in folk medicine and chemotaxonomic importance of secondary metabolites are also briefly discussed.     

Disentangling the relative importance of climate,size and competition on tree growth in Iberian forests: implications for forest management under global change

Most large‐scale multispecies studies of tree growth have been conducted in tropical and cool temperate forests, whereas Mediterranean water‐limited ecosystems have received much less attention. This limits our understanding of how growth of coexisting tree species varies along environmental gradients in these forests, and the implications for species interactions and community assembly under current and future climatic conditions. Here, we quantify the absolute effect and relative importance of climate, tree size and competition as determinants of tree growth patterns in Iberian forests, and explore interspecific differences in the two components of competitive ability (competitive response and effect) along climatic and size gradients. Spatially explicit neighborhood models were developed to predict tree growth for the 15 most abundant Iberian tree species using permanent‐plot data from the Spanish Second and Third National Forest Inventory (IFN). Our neighborhood analyses showed a climatic and size effect on tree growth, but also revealed that competition from neighbors has a comparatively much larger impact on growth in Iberian forests. Moreover, the sensitivity to competition (i.e. competitive response) of target trees varied markedly along climatic gradients causing significant rank reversals in species performance, particularly under xeric conditions. We also found compelling evidence for strong species‐specific competitive effects in these forests. Altogether, these results constitute critical new information which not only furthers our understanding of important theoretical questions about the assembly of Mediterranean forests, but will also be of help in developing new guidelines for adapting forests in this climatic boundary to global change. If we consider the climatic gradients of this study as a surrogate for future climatic conditions, then we should expect absolute growth rates to decrease and sensitivity to competition to increase in most forests of the Iberian Peninsula (in all but the northern Atlantic forests), making these management considerations even more important in the future.     

Future climate‐driven shifts in distribution of Calanus finmarchicus

Calanus finmarchicus is a key‐structural species of the North Atlantic polar biome. The species plays an important trophic role in subpolar and polar ecosystems as a grazer of phytoplankton and as a prey for higher trophic levels such as the larval stages of many fish species. Here, we used a recently developed ecological niche model to assess the ecological niche (sensu Hutchinson) of C. finmarchicus and characterize its spatial distribution. This model explained about 65% of the total variance of the observed spatial distribution inferred from an independent dataset (data of the continuous plankton recorder survey). Comparisons with other types of models (structured population and ecophysiological models) revealed a clear similarity between modeled spatial distributions at the scale of the North Atlantic. Contemporary models coupled with future projections indicated a progressive reduction of the spatial habitat of the species at the southern edge and a more pronounced one in the Georges Bank, the Scotian Shelf and the North Sea and a potential increase in abundance at the northern edge of its spatial distribution, especially in the Barents Sea. These major changes will probably lead to a major alteration of the trophodynamics of North Atlantic ecosystems affecting the trophodynamics and the biological carbon pump.     

Coordinated approaches to quantify long‐term ecosystem dynamics in response to global change

Many serious ecosystem consequences of climate change will take decades or even centuries to emerge. Long‐term ecological responses to global change are strongly regulated by slow processes, such as changes in species composition, carbon dynamics in soil and by long‐lived plants, and accumulation of nutrient capitals. Understanding and predicting these processes require experiments on decadal time scales. But decadal experiments by themselves may not be adequate because many of the slow processes have characteristic time scales much longer than experiments can be maintained. This article promotes a coordinated approach that combines long‐term, large‐scale global change experiments with process studies and modeling. Long‐term global change manipulative experiments, especially in high‐priority ecosystems such as tropical forests and high‐latitude regions, are essential to maximize information gain concerning future states of the earth system. The long‐term experiments should be conducted in tandem with complementary process studies, such as those using model ecosystems, species replacements, laboratory incubations, isotope tracers, and greenhouse facilities. Models are essential to assimilate data from long‐term experiments and process studies together with information from long‐term observations, surveys, and space‐for‐time studies along environmental and biological gradients. Future research programs with coordinated long‐term experiments, process studies, and modeling have the potential to be the most effective strategy to gain the best information on long‐term ecosystem dynamics in response to global change.     

The carbon costs of mitigating high‐severity wildfire in southwestern ponderosa pine

Forests provide climate change mitigation benefit by sequestering carbon during growth. This benefit can be reversed by both human and natural disturbances. While some disturbances such as hurricanes are beyond the control of humans, extensive research in dry, temperate forests indicates that wildfire severity can be altered as a function of forest fuels and stand structural manipulations. The purpose of this study was to determine if current aboveground forest carbon stocks in fire‐excluded southwestern ponderosa pine forest are higher than prefire exclusion carbon stocks reconstructed from 1876, quantify the carbon costs of thinning treatments to reduce high‐severity wildfire risk, and compare posttreatment (thinning and burning) carbon stocks with reconstructed 1876 carbon stocks. Our findings indicate that prefire exclusion forest carbon stocks ranged from 27.9 to 36.6 Mg C ha^?1 and that the current fire‐excluded forest structure contained on average 2.3 times as much live tree carbon. Posttreatment carbon stocks ranged from 37.9 to 50.6 Mg C ha^?1 as a function of thinning intensity. Previous work found that these thinning and burning treatments substantially increased the 6.1 m wind speed necessary for fire to move from the forest floor to the canopy (torching index) and the wind speed necessary for sustained crown fire (crowning index), thereby reducing potential fire severity. Given the projected drying and increase in fire prevalence in this region as a function of changing climatic conditions, the higher carbon stock in the fire‐excluded forest is unlikely to be sustainable. Treatments to reduce high‐severity wildfire risk require trade‐offs between carbon stock size and carbon stock stability.     

A comparative analysis of fine versus coarse taxonomic resolution in benthic chironomid community analyses

The analysis of sedimentary chironomid assemblages is an approach that has been widely adopted for inferring past environmental conditions. However, there is an ongoing discussion in the literature about whether this approach could become more sensitive at detecting past environmental changes if paleolimnologists conducted finer taxonomic analyses of their specimens. To advance this discussion, we conducted comparative analyses of larval chironomid assemblages resolved to two levels of taxonomic resolution. For this exercise, we chose to use live assemblages (as opposed to sub-fossil assemblages) because fine taxonomic resolution of live assemblages is more easily obtained. Our specific aims were to (i) determine if finely resolved taxa comprising a coarsely resolved group have similar ecological niches, (ii) determine if different environmental predictors of community composition are identified when two different levels of taxonomic resolution are applied and (iii) evaluate whether the variance explained by environmental variables differs substantially between levels of taxonomic resolution. We found that there was substantial dispersion among finely resolved taxa belonging to a single coarse group, which suggests that the merging of these taxa results in the loss of ecological information, and therefore warrants higher taxonomic precision. However, the identification of significant environmental predictors and the proportion of variance explained by these did not differ greatly between our two levels of taxonomic resolution. Overall our results show that coarse-resolution analyses may be adequate for some applications, but if the aim is to infer subtle environmental changes (as is the case in most paleolimnological studies) we recommend the highest possible level of taxonomic resolution.