Stroke-attributable death among older persons during the great recession

Epidemiological evidence indicates an elevated risk for stroke among stressed persons, in general, and among individuals who have lost their job, in particular. We, therefore, tested the hypothesis that stroke accounted for a larger fraction of deaths during the Great Recession than expected from other deaths and from trends, cycles, and other forms of autocorrelation. Based on vital statistics death data from California spanning 132 months from January 2000 through December 2010, we found support for the hypothesis. These findings appear attributable to non-Hispanic white men, who experienced a 5% increase in their monthly odds of stroke-attributable death. Total mortality in this group, however, did not increase. Findings suggest that 879 deaths among older white men shifted from other causes to stroke during the 36 months following the start of the Great Recession. We infer the Great Recession may have affected social, biologic, and behavioral risk factors that altered the life histories of older white men in ways that shifted mortality risk toward stroke.     

Application of a microcomputer-based algal fluorescence technique for assessing toxicity: Lake St. Clair and St. Clair River examples

The use of a multi-trophic assay strategy is now being encouraged in toxicological investigations which provides for rapid and sensitive tests. Such a strategy, a microcomputer-based algal fluorescence technique, was applied for the bioassessment of Lake St. Clair and St. Clair River ecosystems. The technique was found to be rapid, sensitive, and relatively inexpensive. In addition, it permitted microscopic examination of the impact of contaminants on individual cells/organisms, a feature which is not possible by other tests using radioisotopes and enzymes. The algal fluorescence technique appears to have a considerable potential for fast screening of large numbers of environmental samples.     

Temperature niche conservatism and strong genetic structure are involved in the trans-Panamanian colonization of Matudaea (Hamamelidaceae) to Andean forests

Matudaea is the only genus of the Hamamelidaceae found in South America. The genus is composed by two extant species, M. trinervia, from Mexico and Costa Rica, and Matudaea colombiana, from the Colombian Andes; additional fossil records are present in Central Europe. Population genetics, molecular phylogenetics and niche modelling approaches were applied to explain processes related with the trans-Panamanian M. trinervia/M. colombiana split and the putative colonization of the latter to the northern Andes. The split between the two Matudaea species was estimated during Middle Miocene. The colonization of Matudaea into South America could have been facilitated by the closure of the Isthmus of Panama and the global decreasing of temperature during Miocene. Five haplotypes of M. colombiana were identified, which show an eastwards decline of genetic diversity and suggest a founder effect in the colonization of Eastern cordillera of the Colombian Andes. We detected a niche conservatism signal between the two Matudaea species related with Temperature of Coldest Month and Mean Temperature of Driest Quarter bioclimatic variables; this signal might be related to the narrow altitudinal range occupied by the two species.     

Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables

Switchgrass is being evaluated as a potential feedstock source for cellulosic biofuels and is being cultivated in several regions of the United States. The recent availability of switchgrass land cover maps derived from the National Agricultural Statistics Service cropland data layer for the conterminous United States provides an opportunity to assess the environmental conditions of switchgrass over large areas and across different geographic locations. The main goal of this study is to develop a data-driven multiple regression switchgrass productivity model and identify the optimal climate and environment conditions for the highly productive switchgrass in the Great Plains (GP). Environmental and climate variables used in the study include elevation, soil organic carbon, available water capacity, climate, and seasonal weather. Satellite-derived growing season averaged Normalized Difference Vegetation Index (GSN) was used as a proxy for switchgrass productivity. Multiple regression analyses indicate that there are strong correlations between site environmental variables and switchgrass productivity (r = 0.95). Sufficient precipitation and suitable temperature during the growing season (i.e., not too hot or too cold) are favorable for switchgrass growth. Elevation and soil characteristics (e.g., soil available water capacity) are also an important factor impacting switchgrass productivity. An anticipated switchgrass biomass productivity map for the entire GP based on site environmental and climate conditions and switchgrass productivity model was generated. Highly productive switchgrass areas are mainly located in the eastern part of the GP. Results from this study can help land managers and biofuel plant investors better understand the general environmental and climate conditions influencing switchgrass growth and make optimal land use decisions regarding switchgrass development in the GP.     

Latitudinal variation in blue tit and great tit nest characteristics indicates environmental adjustment

Aim The laying of eggs and the building of a nest structure to accommodate them are two of the defining characteristics of members of the class Aves. Nest structures vary considerably across avian taxa and for many species the structure of the completed nest can have important consequences both for parents and their offspring. While nest characteristics are expected to vary adaptively in response to environmental conditions, large‐scale spatial variation in nest characteristics has been largely overlooked. Here, we examine the effects of latitudinal variation in spring temperatures on nest characteristics, including insulatory properties, and reproductive success of blue tits, Cyanistes caeruleus, and great tits, Parus major. Location Great Britain. Methods Nests and reproductive data were collected from seven study sites, spread over 5° of latitude. The nest insulatory properties were then determined before the nests were separated into nest base material and cup lining material. Results As spring temperatures increased with decreasing latitude, the mass of the nest base material did not vary in either species, while the mass of the cup lining material and nest insulatory properties decreased in both species. This suggests that in response to increasing temperatures the breeding female reduces the mass of the cup lining material, thereby maintaining an appropriate microclimate for incubating and brooding. The mean first egg date of both species advanced with decreasing latitude and increasing spring temperatures, although clutch size and brood size at hatching and fledging did not vary. Main conclusions This is the first study to demonstrate that the nest‐construction behaviour of birds varies in response to large‐scale spatial variation in ambient temperatures. Therefore, nest composition reliably indicates environmental conditions and we suggest that studies of nest structure may be sentinels for the early signs of rapid climate change.     

The nature and evolution of intelligence in orangutans (Pongo pygmaeus)

Orangutans share many intellectual qualities with African great apes and humans, likely because of their recent common ancestry. They may also show unique intellectual adaptations because of their long evolutionary divergence from the African lineage. This paper assesses orangutan intelligence in light of this evolutionary history. Evidence derives from observations of juvenile ex-captive orangutans reintroduced to free forest life by the Wanariset Orangutan Reintroduction Project, East Kalimantan, Indonesia. The intellectual qualities shared by great apes and humans point to a distinct “great ape” intelligence with hierarchization as a pivotal cognitive mechanism. Evolutionary reconstructions jibe with this view and suggest that technically difficult foods may have been key selection pressures. Orangutans should then show hierarchical intelligence when obtaining difficult foods. Evidence on ex-captive orangutans' techniques for processing difficult foods concurs. Intellectual qualities distinct to orangutans may owe to arboreal travel pressures; in particular arboreality may aggravate foraging problems. Evidence confirms that ex-captive orangutans' techniques for accessing difficult foods located arboreally are intellectually complex—i.e. they show hierarchization. These findings suggest other factors probably important to understanding great ape and orangutan forms of intelligence and their evolutionary origins.