Reaction norm analysis reveals rapid shifts toward delayed maturation in harvested Lake Erie yellow perch (Perca flavescens )

Harvested marine fish stocks often show a rapid and substantial decline in the age and size at maturation. Such changes can arise from multiple processes including fisheries‐induced evolution, phenotypic plasticity, and responses to environmental factors other than harvest. The relative importance of these processes could differ systematically between marine and freshwater systems. We tested for temporal shifts in the mean and within‐cohort variability of age‐ and size‐based maturation probabilities of female yellow perch (Perca flavescens Mitchill) from four management units (MUs) in Lake Erie. Lake Erie yellow perch have been commercially harvested for more than a century, and age and size at maturation have varied since sampling began in the 1980s. Our analysis compared probabilistic maturation reaction norms (PMRNs) for cohorts when abundance was lower and harvest higher (1993–1998) to cohorts when abundance was higher and harvest lower (2005–2010). PMRNs have been used in previous studies to detect signs of evolutionary change in response to harvest. Maturation size threshold increased between the early and late cohorts, and the increases were statistically significant for the youngest age in the western MU1 and for older ages in the eastern MU3. Maturation envelope widths, a measure of the variability in maturation among individuals in a cohort, also increased between early and late cohorts in the western MUs where harvest was highest. The highest rates of change in size at maturation for a given age were as large or larger than rates reported for harvested marine fishes where declines in age and size at maturation have been observed. Contrary to the general observation of earlier maturation evolving in harvested stocks, female yellow perch in Lake Erie may be rapidly evolving delayed maturation since harvest was relaxed in the late 1990s, providing a rare example of possible evolutionary recovery

Same, Similar, or Something Completely Different? Calibrating Student Surveys and Classroom Observations of Teaching Quality Onto a Common Metric

Using item response theory, this study explores whether student survey and classroom observation items can be calibrated onto a common metric of teaching quality. The data comprises 269 lessons of 141 teachers that were scored on the International Comparative Analysis of Learning and Teaching (ICALT) observation instrument and the My Teacher student survey. Using Rasch model concurrent calibration, items from both instruments were calibrated onto a common one‐dimensional metric of teaching quality. Most items were found to fit the model. Challenges pertain mainly to items measuring teaching students learning strategies and differentiation. Explanations for these difficulties are discussed

Factors that contribute to secondary school students’ self-efficacy in being a successful university student

Academic self-efficacy is a crucial predictor of first-year university study success, which makes it a key intended outcome of pre-university education. Students with high academic self-efficacy at the end of secondary education likely experience a better transition to university. This study aimed to investigate which factors relate to Dutch secondary school students’ self-efficacy in terms of being a successful university student, including a personality variable (i.e. need for cognition), a motivational variable (academic interest), and behavioural variables (student engagement and out-of-school academic activities). Structural equation models served to test the proposed model. The results revealed that need for cognition, academic interest, and out-of-school academic activities related directly to self-efficacy; need for cognition and academic interest were especially pertinent. By focusing on improving students’ need for cognition and academic interest, secondary school teachers can contribute to the development of students’ academic self-efficacy and thereby increase their chances for a successful transition to university

Comparative population genetic structure of the endangered southern brown bandicoot, Isoodon obesulus, in fragmented landscapes of Southern Australia

Genetic connectivity is a key factor for maintaining the persistence of populations in fragmented landscapes. In highly modified landscapes such us peri-urban areas, organisms' dispersal among fragmented habitat patches can be reduced due to the surrounding matrix, leading to subsequent decreased gene flow and increased potential extinction risk in isolated sub-populations. However, few studies have compared within species how dispersal/gene flow varies between regions and among different forms of matrix that might be encountered. In the current study, we investigated gene flow and dispersal in an endangered marsupial, the southern brown bandicoot (Isoodon obesulus) in a heavily modified peri-urban landscape in South Australia, Australia. We used 14 microsatellite markers to genotype 254 individuals which were sampled from 15 sites. Analyses revealed significant genetic structure. Our analyses also indicated that dispersal was mostly limited to neighbouring sites. Comparisons of these results with analyses of a different population of the same species revealed that gene flow/dispersal was more limited in this peri-urban landscape than in a pine plantation landscape approximately 400 km to the south-east. These findings increase our understanding of how the nature of fragmentation can lead to profound differences in levels of genetic connectivity among populations of the same species.You Li, Steven J.B. Cooper, Melanie L. Lancaster, Jasmin G. Packer, Susan M. Carthe

Inter-individual variability of stone marten behavioral responses to a highway

Efforts to reduce the negative impacts of roads on wildlife may be hindered if individuals within the population vary widely in their responses to roads and mitigation strategies ignore this variability. This knowledge is particularly important for medium-sized carnivores as they are vulnerable to road mortality, while also known to use available road passages (e.g., drainage culverts) for safely crossing highways. Our goal in this study was to assess whether this apparently contradictory pattern of high road-kill numbers associated with a regular use of road passages is attributable to the variation in behavioral responses toward the highway between individuals. We investigated the responses of seven radio-tracked stone martens (Martes foina) to a highway by measuring their utilization distribution, response turning angles and highway crossing patterns. We compared the observed responses to simulated movement parameterized by the observed space use and movement characteristics of each individual, but naı¨ve to the presence of the highway. Our results suggested that martens demonstrate a diversity of responses to the highway, including attraction, indifference, or avoidance. Martens also varied in their highway crossing patterns, with some crossing repeatedly at the same location (often coincident with highway passages). We suspect that the response variability derives from the individual’s familiarity of the landscape, including their awareness of highway passage locations. Because of these variable yet potentially attributable responses, we support the use of exclusionary fencing to guide transient (e.g., dispersers) individuals to existing passages to reduce the road-kill risk

Acoustic Compaction Layer Detection

ABSTRACT. The ASAE standardized tool to detect the depth and strength of compaction layers in the field is the cone penetrometer. Since this method is point-to-point, researchers have experimented with on-the-fly alternatives that can be used as, or in combination with, a standard tillage tool. On-the-fly compaction layer sensing also enables adaptive tillage, where the soil is only tilled as deep as necessary, which can lead to significant energy savings and erosion reduction. Wedged tips, strain gauges mounted on a deflecting tine, air bubbles pushed into the soil, as well as ground-penetrating radar have been tested for this purpose. In this research, passive acoustics was used to detect the compaction layer by recording the sound of a cone being drawn through the soil. The premise was that a more compacted layer should cause higher sound levels, which might reveal the depth and strength of the compaction layer. Two experiments were conducted in the soil bins of the USDA-ARS National Soil Dynamics Laboratory in Auburn, Alabama. First, constant-depth tests (15 and 30 cm) at three compaction levels (0.72, 2.8, and 3.6 MPa) revealed the relationship of sound amplitude with depth and compaction. Second, to test the detection capability, the cone was gradually inserted in the soil, passing through an artificial compaction layer. A windowed, short-time Fourier transform (STFT) analysis showed that the compaction layer is detectable since the sound amplitude was positively related to depth and compaction levels, but only in the highest frequency range of the spectrum. This led to the conjecture that the soil-cone interface acts as a low-pass filtering mechanism, where the cutoff frequency becomes higher in the compaction layer due to a more intimate contact between sensor and soil