Temporal vs. spatial variation in stress-associated metabolites within a population of climate-sensitive small mammals

Temporal variation in stress might signify changes in an animal&rsquo;s internal or external environment, while spatial variation instress might signify variation in the quality of the habitats that individual animals experience. Habitat-induced variationsin stress might be easiest to detect in highly territorial animals, and especially in species that do not take advantage ofcommon strategies for modulating habitat-induced stress, such as migration (escape in space) or hibernation (escape intime). Spatial and temporal variation in response to potential stressors has received little study in wild animals, especiallyat scales appropriate for relating stress to specific habitat characteristics. Here, we use the American pika (Ochotona princeps),a territorial small mammal, to investigate stress response within and among territories. For individually territorial animalssuch as pikas, differences in habitat quality should lead to differences in stress exhibited by territory owners. We indexedstress using stress-associated hormone metabolites in feces collected non-invasively from pika territories every 2 weeks fromJune to September 2018.We hypothesized that differences in territory qualitywould lead to spatial differences in mean stressand that seasonal variation in physiology or the physical environment would lead to synchronous variation across territoriesthrough time.We used linear mixed-effects models to explore spatiotemporal variation in stress using fixed effects of day-ofyearand broad habitat characteristics (elevation, aspect, site), aswell as local variation in habitat characteristics hypothesizedto affect territory quality for this saxicolous species (talus depth, clast size, available forage types). We found that temporalvariation within territories was greater than spatial variation among territories, suggesting that shared seasonal stressors aremore influential than differences in individual habitat quality. This approach could be used in other wildlife studies to refineour understanding of habitat quality and its effect on individual stress levels as a driver of population decline.</p

Spatial scale selection for informing species conservation in a changing landscape

Abstract Identifying the relevant spatial scale at which species respond to features in a landscape (scale of effect) is a pressing research need as managers work to reduce biodiversity loss amid a variety of environmental challenges. Until recently, researchers often evaluated a subset of potential scales of effect inferred from previous studies in other locations, often based on different biological responses and environmental variables. These approaches, however, can create uncertainty as to whether relevant spatial scales were identified, and whether the effects of environmental variables at scale were accurately estimated. Identifying scales of effect is particularly relevant for the greater sage‐grouse (Centrocercus urophasianus), a sagebrush‐obligate species of conservation concern requiring large areas of intact sagebrush cover (Artemisia spp.) for habitat. We demonstrate the application of a scale selection approach that jointly estimates the scale of effect and the effect of sagebrush cover on trends in population size using counts from 584 sage‐grouse leks in southwestern Wyoming (2003–2019) and annual estimates of sagebrush cover from a remote sensing product. From this approach, we estimated a positive effect of mean sagebrush cover with a 95% probability that the scale of effect occurred within 5.02 km of leks. In an average year, we found that lower levels of sagebrush cover within these estimated scales could support increasing trends in sage‐grouse population size when populations were small, but higher levels of sagebrush cover were needed to sustain growing populations when populations were larger. With standardized monitoring and annual estimates of vegetation from remote sensing, this scale selection approach can be applied to identify relevant scales for other populations, species, and biological responses such as demography and movement

An empirical investigation of the anxiolytic and pain reducing effects of music

This article reports two empirical experiments investigating the anxiety and pain reducing effects of listening to music via personal stereo following surgical procedures involving general anaesthetic. Both experiments involved participants selecting music of their own choice. In Experiment 1, following minor surgery on the foot, 20 participants in an experimental group listened to music while 20 participants in a control group did not. Results indicate that the music group felt significantly less anxiety than the control group. No differences in pain measurements between the two groups were found. Experiment 2 involved a music listening group of 30 females and a no music control group of 28 females. Both groups underwent a total abdominal hysterectomy. Postoperative measures of pain, anxiety and patient-controlled analgesia were taken. No differences between the groups were obtained on these measurements. The results of both experiments are discussed with reference to subjective responses to musical stimuli

Frontiers, Opportunities, and Challenges in Biochemical and Chemical Catalysis of CO 2

Two major energy-related problems confront the world in the next 50 years. First, increased worldwide competition for gradually depleting fossil fuel reserves (derived from past photosynthesis) will lead to higher costs, both monetarily and politically. Second, atmospheric CO2 levels are at their highest recorded level since records began. Further increases are predicted to produce large and uncontrollable impacts on the world climate. These projected impacts extend beyond climate to ocean acidification, because the ocean is a major sink for atmospheric CO2.1 Providing a future energy supply that is secure and CO2-neutral will require switching to nonfossil energy sources such as wind, solar, nuclear, and geothermal energy and developing methods for transforming the energy produced by these new sources into forms that can be stored, transported, and used upon demand