Physiological and muscle histochemical assessment of men and women 10 km runners matched for race performance or training volume.

Women have a disadvantage for performance in long-distance running compared with men. To elaborate on inherent characteristics, 12 subelite women were matched with 12 men for training volume (M-Tm) (56.6 ± 18 vs. 55.7 ± 17 km/wk). The women were also matched to other men for a 10 km staged outdoor time trial (M-Pm) (42:36 min:s) to determine which factors could explain equal running performance. Anthropometry and treadmill tests were done. Fiber type (% Type I and Type IIA) and citrate synthase activities were analyzed in muscle biopsy samples. Consistent sex differences for both comparisons included height, weight, % body fat (P < 0.01), and hematocrit (P < 0.05). Women had lower V̇o2max and peak treadmill speed (PTS) compared with both M-Tm and M-Pm (P < 0.01). Training matched pairs had no sex difference in % PTS at race pace but compared with M-Pm women ran at a higher % PTS (P < 0.05) and %HRmax (P < 0.01) at race pace. On average, the women trained 22.9 km/wk more than M-Pm (+67.5%, P < 0.01). This training was not associated with higher V̇o2max or better running economy. Muscle morphology and oxidative capacity did not differ between groups. Percentage body fat remained significantly higher in women. In conclusion, women matched to men for training volume had slower 10 km performance (-10.5% P < 0.05). Higher training volume, more high-intensity sessions/wk, and time spent training in the 95%-100% HRmax zone may explain the higher % PTS and %HRmax at race pace in women compared with performance-matched men.NEW & NOTEWORTHY When subelite women 10 km runners were matched with male counterparts for 10 km race performance, inherent differences in % body fat, V̇o2max, Hct, and peak treadmill speed were counteracted by significantly higher training volume, more time training at higher %HRmax and consequently, higher %HRmax and %PTS at race pace. Citrate synthase activity and muscle fiber types did not differ. When women and men matched for training, 10 km performance of men was 10.5% faster.

Limited Effect of Ground Floor Fogging on Mosquito Distribution in High-Rise Condominia.

Fogging with insecticides is one of the main control measures for adult mosquito populations employed in countries that are affected by dengue. In many such countries, urban communities are increasingly characterised by high-density residence in high-rise condominia. Although fogging is typically applied at the ground level, its efficacy in three-dimensional urban environments is poorly understood. Here, we investigated the effect of fogging on vector mosquito distribution and abundance in high-rise condominia by conducting a before-after fogging survey. We showed that although mosquitoes were significantly concentrated at the lower levels in high-rise condominia, they were found throughout the three-dimensional environments. Fogging did not significantly alter this distribution or abundance pattern across any floor level. Thus, any fogging effect was short-lived as mosquito populations recovered within a few days before the subsequent scheduled treatment. In addition, increasing fogging frequency within practicable limits did not prolong the intended control effect. As urban mosquitoes are increasingly insusceptible to fogging due to insecticide resistance and vertical avoidance, this study demonstrates the need to implement other mosquito control strategies for high-rise condominia to manage mosquito populations.

Encouragement from the right source: Evaluating the impact of the 4R Nutrient Stewardship Certification Program in the Ohio Western Lake Erie Basin.

Harmful algal blooms are a considerable environmental issue predominantly caused by runoff of nutrients from agricultural lands. One high-profile set of practices promoted to combat this threat is the 4Rs of nutrient stewardship that concern using the right source of nutrients at the right rate and right time in the right place. While outreach for agricultural conservation is often undertaken by governmental or nonprofit entities, there is increasing interest in engaging agricultural retailers to leverage the trust that already exists between farmers and their agribusiness professionals. The 4R Nutrient Stewardship Certification Program, implemented in the Western Lake Erie Basin (WLEB) in 2014, certifies crop advising companies and agronomy retailers or Nutrient Service Providers (NSPs) to promote best practices in nutrient management. This program has since grown and now exists in six US states and the province of Ontario and Prince Edward Island in Canada. Using a survey of farmers in the WLEB, we investigate the impact of working with certified NSPs over time on farmers' reported 4R-related behaviors. We find evidence that working with a certified NSP has a positive impact on 4R behaviors that is independent of other potential explanations for this change (e.g., farmer concern about nutrient loss, local regulatory efforts, and exposure to general 4R-related outreach). Overall, these results suggest that the 4R Nutrient Stewardship Certification Program is having an independent, positive impact on farmer behavior, and engaging with agricultural retailers and agronomists can be effective at advancing adoption of environmentally impactful nutrient management practices.

Biomonitoring of heavy metals in the feathers of House crow (Corvus splendens) from some metropolitans of Asia and Africa.

Urban-dwelling birds can be useful biomonitors to assess the impact of the urbanisation on both public and wildlife health. Widely distributed urban bird species, the House crow, was studied for heavy metal accumulation levels from nine cities of South Asia, Southeast Asia and Africa that border the Indian Ocean. Feathers were spectroscopically investigated for the deposition of ten heavy metals, i.e. As, Zn, Pb, Cd, Ni, iron Fe, Mn, Cr, Cu and Li. Fe and Zn were found to be the most prevalent metals in all sites. Measured concentrations of Pb (4.38-14.77 mg kg-1) overall, and Fe (935.66 mg kg-1) and Cu (67.17 mg kg-1) at some studied sites were above the toxicity levels reported lethal in avian toxicological studies. Multivariate analysis and linear models supported geographical location as a significant predictor for the level of most of the metals. Zn and Cu, generally and Pb, Cd, Mn, Cr at some sites exhibited potential bioaccumulation from surrounding environments. Inter-species comparisons strengthen the inference that the House crow is a reliable bioindicator species for the qualitative assessment of local urban environmental pollution and could be a useful tool for inter-regional monitoring programs.

Understanding farmers' conservation behavior over time: A longitudinal application of the transtheoretical model of behavior change.

Global waterbodies are experiencing increased risk of eutrophication and harmful algal blooms due to excess nutrients including phosphorus and nitrogen discharged from human activity on the landscape and as a result of climate change. Despite modeling that suggests the efficacy of best management practices in agricultural systems to be sufficient to address the problem, adoption by farmers remains far below the levels needed to achieve significant water quality improvements and new approaches to encourage and sustain adoption are urgently needed. In this work, we apply a modified transtheoretical model (TTM) of behavior change to a longitudinal dataset (N = 584) of farmers' adoption decisions and stated intentions to use cover crops, collected in the Maumee Basin of Lake Erie, USA in 2016 and 2018. The TTM posits that behavior changes over time and is influenced by different social-psychological processes at each stage of change. Our findings confirm past research into the importance of many of the factors investigated, while providing new insight into their role in specific stages of the change process with potential implications for the design of interventions for farmers in different stages. Several factors investigated (mean environmental concern, education, information from conservation groups and off-farm income) were uniquely important to a particular stage. Other factors (response efficacy at the field level, total farm size and risks of spring planting interference) were important at both an earlier and later stage, but less important in predicting middle stages of change. A third set of factors (self-efficacy, proportion rented, no-till adoption and uncertain long-term paybacks) were statistically important across each stage of the TTM model. In applying the TTM longitudinally, we found evidence that farmers in a more advanced stage of cover crop adoption, in the first wave of data collection (2016) were more likely to have adopted cover crops in the second wave (2018), a result not predicted by individual factors alone. We report findings for cover crops but see the potential for the transtheoretical model of behavior change to be applied to other best management practice adoption decisions and to diverse populations of farmers to generate similarly novel insight and utility for intervention design and targeting.

Farmer willingness to implement constructed wetlands in the Western Lake Erie Basin.

Harmful algal blooms (HABs) remain a persistent issue that threatens both the physical and economic health of the Western Lake Erie basin (WLEB). Edge-of-field conservation practices are recommended to help manage agricultural runoff and reach phosphorus reduction targets in freshwater systems like the Great Lakes (in the USA). Constructed wetlands (CWs) are a specific edge-of-field practice that could prove critical to these efforts. While we know less about why wetlands are installed or implemented than many other private lands conservation practices, prior research does indicate that offsetting the costs of land taken out of production, or targeting land that is not suitable for production will be critical. Our research builds on these findings by assessing how the perceived productivity of the land moderates the relationship between other potential motivating factors and willingness to install wetlands. We also assess how these critical motivations may vary by the conservation-mindedness of the farmer. Our results indicate that the decision to install a constructed wetland is not entirely dependent on the productivity of the land. Associated beneficial functions (e.g., aesthetics, hunting opportunities) positively influence willingness, even on productive land for those farmers who value conservation. We suggest that program providers emphasize the diverse benefits of constructed wetlands, and target farmers who exhibit stronger conservation identities as they may be more likely to consider wetlands regardless of the productivity of their land.

Private land conservation decision-making: An integrative social science model.

Owners and managers of private lands make decisions that have implications well beyond the boundaries of their land, influencing species conservation, water quality, wildfire risk, and other environmental outcomes with important societal and ecological consequences. Understanding how these decisions are made is key for informing interventions to support better outcomes. However, explanations of the drivers of decision making are often siloed in social science disciplines that differ in focus, theory, methodology, and terminology, hindering holistic understanding. To address these challenges, we propose a conceptual model of private land conservation decision-making that integrates theoretical perspectives from three dominant disciplines: economics, sociology, and psychology. The model highlights how heterogeneity in behavior across decision-makers is driven by interactions between the decision context, attributes of potential conservation behaviors, and attributes of the decision-maker. These differences in both individual attributes and context shape decision-makers' constraints and the potential and perceived consequences of a behavior. The model also captures how perceived consequences are evaluated and weighted through a decision-making process that may range from systematic to heuristic, ultimately resulting in selection of a behavior. Outcomes of private land behaviors across the landscape feed back to alter the socio-environmental conditions that shape future decisions. The conceptual model is designed to facilitate better communication, collaboration, and integration across disciplines and points to methodological innovations that can expand understanding of private land decision-making. The model also can be used to illuminate how behavior change interventions (e.g., policies, regulations, technical assistance) could be designed to target different drivers to encourage environmentally and socially beneficial behaviors on private lands.

Assessing the Accuracy of Farmers' Nutrient Loss Risk Perceptions.

Use of nutrient management practices to reduce nutrient loss from agriculture and its associated water quality consequences, including hypoxia and eutrophication, is widely encouraged. However, little is known about which factors influence farmers' risk perceptions associated with nutrient loss, and thus possibly influence their decisions to adopt such practices. To determine which factors were associated with relative "accuracy" of nutrient loss-associated risk perceptions, specific farm field management information was used as inputs to a Soil and Water Assessment Tool model of the study watershed to produce water quality outputs for each modeled farm field. This information was paired with farmers' risk perceptions associated with nutrient loss on their farm to assess relative "accuracy" of each farmer's perceptions compared to the rest of the farmers in the study. We then investigated characteristics of the farm and farmer that are associated with comparative "overprediction" and "underprediction" of risk, and found that characteristics of the individual (conservation identity, prior conservation practice adoption, efficacy beliefs, and perceived seriousness of the consequences of nutrient loss) are more important in determining whether farmers are likely to "overpredict" or "underpredict" risk than is the objective (modeled) vulnerability of their land to nutrient loss.

Evaluating the efficacy of targeting options for conservation practice adoption on watershed-scale phosphorus reductions.

Conservation identities of farmers in the Maumee River watershed, derived from farmer surveys, were embedded into a SWAT watershed model. This was done to improve the representation of the heterogeneity among farmers in the decision-making process related to the adoption of conservation practices. Modeled farm operations, created with near field-level Hydrologic Response Units (HRUs) within the SWAT model, were assigned a modeled primary operator. Modeled primary operators held unique conservation identities driven by their spatial location within the watershed. Five pathways of targeting the adoption of subsurface placement of phosphorus and buffer strips to HRUs within the watershed were assessed. Targeting pathways included targeting by HRU-level phosphorus losses, conservation identity of model operators, a hybrid approach combining HRU-level phosphorus losses and conservation identity of the model primary operator managing the HRU, and a proxy measure for random placement throughout the watershed. Targeting the placement of subsurface phosphorus application to all agricultural HRUs resulted in the greatest reduction in total phosphorus losses (32%) versus buffer strips (23%). For both conservation practices, targeting by HRU-level total phosphorus losses resulted in the most efficient rate of phosphorus reduction as measured by the ratio of phosphorus reduction to conservation practice adoption rates. The hybrid targeting approach closely resembled targeting by phosphorus losses, indicating near optimal results can be obtained even when constraining adoption by farmer characteristics. These results indicate that by developing management strategies based on a combination of field-level information and human-operator characteristics, a more efficient use of limited resources can be used while achieving near-maximal environmental benefits as compared to managing environmental outcomes solely based on field-level information.

Monitoring of heavy metal pollution in urban and rural environments across Pakistan using House crows (Corvus splendens) as bioindicator.

A widely distributed urban bird, the house crow (Corvus splendens), was used to assess bioavailable heavy metals in urban and rural environments across Pakistan. Bioaccumulation of arsenic (As), zinc (Zn), lead (Pb), cadmium (Cd), nickel (Ni), iron (Fe), manganese (Mn), chromium (Cr), and copper (Cu) was investigated in wing feathers of 96 crows collected from eight locations and categorized into four groups pertaining to their geographical and environmental similarities. Results revealed that the concentrations of Pb, Ni, Mn, Cu, and Cr were positively correlated and varied significantly among the four groups. Zn, Fe, Cr, and Cu regarded as industrial outputs, were observed in birds both in industrialized cities and in adjoining rural agricultural areas irrigated through the Indus Basin Irrigation System. Birds in both urban regions accrued Pb more than the metal toxicity thresholds for birds. The house crow was ranked in the middle on the metal accumulation levels in feathers between highly accumulating raptor and piscivore and less contaminated insectivore and granivore species in the studied areas,. This study suggests that the house crow is an efficient bioindicator and supports the feasibility of using feathers to discriminate the local pollution differences among terrestrial environments having different levels and kinds of anthropogenic activities.

A Yardstick for Danger: Developing a Flexible and Sensitive Measure of Risk Perception.

While individual perceptions of risk are central to many behavioral theories of hazard response and are of considerable interest in both conceptual and applied work surrounding risk, hazards, and decision making, there is currently no consensus on how perceived risk should best be measured. Several recent efforts have laid the groundwork for a conceptual model outlining four key factors that make up risk perception: exposure, susceptibility, severity, and affective response. In this article, we use an extensive scale-development process to develop empirically supported 3-4 item subscales to measure each of those four dimensions. Using cognitive interviewing techniques and several quantitative psychometric methods including exploratory and confirmatory factor analysis and item-response theory analyses, we reduce a large set of potential items to the highest-quality items to assess each subscale. These subscales can be used to make comparisons across perceived risk in different hazard contexts and populations.

Public perceptions of federal science advisory boards depend on their composition.

The United States Environmental Protection Agency (EPA) Science Advisory Board (SAB) provides expert advice to inform agency decision-making. Recent regulations have decreased the representation of academic scientists on the EPA SAB and increased the representation of industry scientists. In an experiment, we asked how the US public views the goals and legitimacy of the board as a function of its composition. Respondents perceived SABs with a majority of industry scientists to be more likely to promote business interests than SABs with a majority of academic scientists. Liberals were less likely than conservatives to perceive industry-majority SABs as promoting human health and the environment, and making unbiased and evidence-based decisions. Our findings underscore the potential for politicization of scientific advice to the government.

Industry-Dominated Science Advisory Boards Are Perceived To Be Legitimate But Only When They Recommend More Stringent Risk Management Policies.

In 2017, the US Environmental Protection Agency (EPA) was criticized for two controversial directives that restricted the eligibility of academic scientists to serve on the agency's key science advisory boards (SABs). The EPA portrayed these directives as necessary to ensure the integrity of the SAB. Critics portrayed them as a tactic by the agency to advance a more industry-friendly deregulatory agenda. With this backdrop, this research examined board composition and its effect on the perceived legitimacy of risk management recommendations by the SAB. In an experiment, we presented participants with hypothetical EPA SABs composed of different proportions of academic and industry scientists. We then asked participants to rate their satisfaction with, and the legitimacy of, these boards in light of their decisions in scenarios based on actual EPA SAB deliberations. Participants perceived higher levels of satisfaction and legitimacy when SABs made more stringent risk management recommendations. While SABs dominated by industry scientists were perceived to be more strongly motivated to protect business interests, we found no effect of board composition on perceptions of satisfaction and legitimacy. These results are consistent with prior research on decision quality that suggests people use normative outcomes as a heuristic for assessing the quality of deliberations. Moreover, these results suggest that members of the public are supportive of federal SABs regardless of their composition, but only if they take actions that are consistent with normative expectations.

The effects of temperature and shading on mortality and development rates of Aedes aegypti (Diptera: Culicidae).

Urbanization has caused an increase in favorable habitats for Aedes aegypti (Diptera: Culicidae), given their ability to reproduce in small and often non-degradable artificial water-containers. While much work has been done on Ae. aegypti biology and ecology in urban landscapes, the role of shading on immature stages as an independent factor from temperature, and any possible interactions between these factors, remains unexamined. We assessed how temperature and shading affected egg hatch-rate, larval/pupal mortality, and larval development to adult stage under different factorial temperature (28; 31; 34; 37; 40° C) and shade (0%, 3,100 lux; 40%, 1,860 lux; 75%, 775 lux; 100%, 0 lux) regimes. Hatch-rate was significantly lower at 37° C (57 %), and no eggs hatched at 40° C. There was no significant effect caused by shading on hatchability. Larval and pupal mortality at 37° C was significantly higher (35%) compared to lower temperature groups, while the effects of shading were emergent at low temperatures. Developmental times from hatching to adult emergence were significantly reduced with increasing temperatures and with greater light exposures. The eco-physiological response of Ae. aegypti larvae to temperature and light regimes suggest a photosensitivity previously unstudied in this species.

Will Millennials save the world? The effect of age and generational differences on environmental concern.

Are younger people, defined by age, or younger generations, defined by cohort-level measures, more concerned about declines in environmental health when compared to their older counterparts within the United States? Related, are these same people more willing to support policy actions aimed at preventing future losses when compared to older adults? In spite of reporting by the U.S. popular press about the heightened environmental consciousness of Millennials, prior research offers conflicting answers. Scholarship focusing on age effects suggests that the answer to both questions is yes due to the dampening of environmental concern and action in older adults. More recent applied research on climate related risks and risk management options, by contrast, suggest that the answer to both questions is no, and that there is no difference in climate concern and risk mitigation between younger and older adults. In an attempt to disentangle these contradictory viewpoints, we undertook a study in which respondents in the United States characterized by age and generational cohort were presented with small and large hypothetical losses due to climate change. These same participants were then asked to indicate their support for future policy actions aimed at stemming these environmental losses. Overall, our data does not indicate that younger generations experience potential losses as more acute than older generations; neither age nor generational cohort correlated with the perceived severity of environmental losses nor support for future actions to prevent them. More robust predictors of both dependent variables were environmental value orientations (biospherism) and self-reported political orientation.

Sequence and phylogeny of the complete mitochondrial genome of the Himalayan jungle crow (Corvidae: Corvus macrorhynchos intermedius) from Pakistan.

Corvus macrorhynchos formerly referred to as the jungle crow or the large-billed crow is a polytypic species with unresolved taxonomy, comprising various subspecies widespread across South, Southeast, and East Asia. In this study, we report the complete mitogenome of one of these subspecies, Corvus macrorhynchos intermedius (Himalaya crow), from Pakistan. The mitochondrial genome is circular, 16,927 bp and contains typical animal mitochondrial genes (13 protein-coding genes, 2 ribosomal RNA, and 22 transfer RNA) and one non-coding region (D-loop) with a nucleotide content of A (30.6%), T (24.8%), G (14.8%), and C (29.8%). Phylogenetic analysis using the whole mitochondrial genome showed that C. m. intermedius and only reported subspecies Corvus macrorhynchos culminatus (Indian Jungle crow) are genetically distinct and it supports the recognition of the latter as a separate biospecies.

Developing a Broadly Applicable Measure of Risk Perception.

Decades of research identify risk perception as a largely intuitive and affective construct, in contrast to the more deliberative assessments of probability and consequences that form the foundation of risk assessment. However, a review of the literature reveals that many of the risk perception measures employed in survey research with human subjects are either generic in nature, not capturing any particular affective, probabilistic, or consequential dimension of risk; or focused solely on judgments of probability. The goal of this research was to assess a multidimensional measure of risk perception across multiple hazards to identify a measure that will be broadly useful for assessing perceived risk moving forward. Our results support the idea of risk perception being multidimensional, but largely a function of individual affective reactions to the hazard. We also find that our measure of risk perception holds across multiple types of hazards, ranging from those that are behavioral in nature (e.g., health and safety behaviors), to those that are technological (e.g., pollution), or natural (e.g., extreme weather). We suggest that a general, unidimensional measure of risk may accurately capture one's perception of the severity of the consequences, and the discrete emotions that are felt in response to those potential consequences. However, such a measure is not likely to capture the perceived probability of experiencing the outcomes, nor will it be as useful at understanding one's motivation to take mitigation action.

Moving beyond panaceas in fisheries governance.

In fisheries management-as in environmental governance more generally-regulatory arrangements that are thought to be helpful in some contexts frequently become panaceas or, in other words, simple formulaic policy prescriptions believed to solve a given problem in a wide range of contexts, regardless of their actual consequences. When this happens, management is likely to fail, and negative side effects are common. We focus on the case of individual transferable quotas to explore the panacea mindset, a set of factors that promote the spread and persistence of panaceas. These include conceptual narratives that make easy answers like panaceas seem plausible, power disconnects that create vested interests in panaceas, and heuristics and biases that prevent people from accurately assessing panaceas. Analysts have suggested many approaches to avoiding panaceas, but most fail to conquer the underlying panacea mindset. Here, we suggest the codevelopment of an institutional diagnostics toolkit to distill the vast amount of information on fisheries governance into an easily accessible, open, on-line database of checklists, case studies, and related resources. Toolkits like this could be used in many governance settings to challenge users' understandings of a policy's impacts and help them develop solutions better tailored to their particular context. They would not replace the more comprehensive approaches found in the literature but would rather be an intermediate step away from the problem of panaceas.

Using models of farmer behavior to inform eutrophication policy in the Great Lakes.

To address the management of eutrophication in aquatic systems, the behavioral mechanisms that drive change at the individual level must be considered when designing policy interventions. This analysis identifies the beliefs that are critical to behavioral change, and explores the likelihood that farmers will adopt two management practices believed to be critical to reducing nutrient loading to recommended levels in Lake Erie. We find that there is potential for farmers to adopt key infield practices needed to reduce nutrient inputs. And further, that increased adoption of such practices is possible by increasing the perceived efficacy of the majority of farmers who are motivated to take action. Integrating these findings with physical models of nutrient movement indicates that adoption of these practices in combination with edge of field practices can attain phosphorus reduction targets for the lake. Future research should focus on measuring the effectiveness of education and outreach programs aimed at engaging farmers and promoting adoption of recommended practices. Such programs may only be effective if they are successfully building farmer confidence in their ability to implement the practices (i.e., perceived self efficacy) and increasing farmer's belief in the effectiveness of the practices at reducing nutrient loss and improving local water quality (i.e., perceived response efficacy).