20 research outputs found

    Current and Historical Drivers of Landscape Genetic Structure Differ in Core and Peripheral Salamander Populations

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    With predicted decreases in genetic diversity and greater genetic differentiation at range peripheries relative to their cores, it can be difficult to distinguish between the roles of current disturbance versus historic processes in shaping contemporary genetic patterns. To address this problem, we test for differences in historic demography and landscape genetic structure of coastal giant salamanders (Dicamptodon tenebrosus) in two core regions (Washington State, United States) versus the species' northern peripheral region (British Columbia, Canada) where the species is listed as threatened. Coalescent-based demographic simulations were consistent with a pattern of post-glacial range expansion, with both ancestral and current estimates of effective population size being much larger within the core region relative to the periphery. However, contrary to predictions of recent human-induced population decline in the less genetically diverse peripheral region, there was no genetic signature of population size change. Effects of current demographic processes on genetic structure were evident using a resistance-based landscape genetics approach. Among core populations, genetic structure was best explained by length of the growing season and isolation by resistance (i.e. a ‘flat’ landscape), but at the periphery, topography (slope and elevation) had the greatest influence on genetic structure. Although reduced genetic variation at the range periphery of D. tenebrosus appears to be largely the result of biogeographical history rather than recent impacts, our analyses suggest that inherent landscape features act to alter dispersal pathways uniquely in different parts of the species' geographic range, with implications for habitat management

    Predicting Landscape-Genetic Consequences of Habitat Loss, Fragmentation and Mobility for Multiple Species of Woodland Birds

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    Inference concerning the impact of habitat fragmentation on dispersal and gene flow is a key theme in landscape genetics. Recently, the ability of established approaches to identify reliably the differential effects of landscape structure (e.g. land-cover composition, remnant vegetation configuration and extent) on the mobility of organisms has been questioned. More explicit methods of predicting and testing for such effects must move beyond post hoc explanations for single landscapes and species. Here, we document a process for making a priori predictions, using existing spatial and ecological data and expert opinion, of the effects of landscape structure on genetic structure of multiple species across replicated landscape blocks. We compare the results of two common methods for estimating the influence of landscape structure on effective distance: least-cost path analysis and isolation-by-resistance. We present a series of alternative models of genetic connectivity in the study area, represented by different landscape resistance surfaces for calculating effective distance, and identify appropriate null models. The process is applied to ten species of sympatric woodland-dependant birds. For each species, we rank a priori the expectation of fit of genetic response to the models according to the expected response of birds to loss of structural connectivity and landscape-scale tree-cover. These rankings (our hypotheses) are presented for testing with empirical genetic data in a subsequent contribution. We propose that this replicated landscape, multi-species approach offers a robust method for identifying the likely effects of landscape fragmentation on dispersal

    Anticipation in entrepreneurship

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    Entrepreneurship is a forward looking activity that embodies implicit imaginaries. If we remove the notion of a future from the field of entrepreneurship, field would cease to exist as its whole rationale is prospective. Entrepreneurship creates future value (Schumpeter 1934) through creative destruction; in uncertain contexts (Knight 1923) and with ‘alertness’ to opportunity (Kirzner 1982). Entrepreneurial opportunity em-braces anticipation as imaginative reason, strategically employed and motivated by aspiration. Entrepreneurial effectuation is concerned with the controllable aspects of an unpredictable future. Entrepreneuring is a process (Steyaert 2007) producing ontological emergence. Entrepreneurship is expressed in action and produces change. Nadin observes that anticipation relates to the perception of change (Nadin 2010) and is always expressed in action (Nadin 2015). Entrepreneurial identity is sig-nificant and the models embodied in an anticipatory system are what comprise its individuality; what distinguish it uniquely from other sys-tems. A change in these models is a change of identity (Rosen et al. 2012, p370). Entrepreneurship is relational and is coupled with other ac-tors in the environment, generating a sense of shared anticipation, or anticipatory coupling. Anticipatory coupling as a social phenomenon seems ripe for further research. Being emplaced, entrepreneuring practice involve sensing and anticipation (Antonacopoulou and Fuller 2019). Although anticipation is a natural activity, the effectiveness of anticipation can be improved through greater awareness in each of these sets of processes, among others. We suggest that the dynamics of emergence require anticipations of multiple forms of value. Seeing entrepreneurship from an anticipatory standpoint brings more to the fore the nature of values in practice. Further research can help reveal the anticipatory work is done in entrepreneurship to maintain the anticipatory capacity of the enterprise and of the interdependent relationships that maintain the enterprise

    A higher effort-based paradigm in physical activity and exercise for public health: making the case for a greater emphasis on resistance training

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    It is well known that physical activity and exercise is associated with a lower risk of a range of morbidities and all-cause mortality. Further, it appears that risk reductions are greater when physical activity and/or exercise is performed at a higher intensity of effort. Why this may be the case is perhaps explained by the accumulating evidence linking physical fitness and performance outcomes (e.g. cardiorespiratory fitness, strength, and muscle mass) also to morbidity and mortality risk. Current guidelines about the performance of moderate/vigorous physical activity using aerobic exercise modes focuses upon the accumulation of a minimum volume of physical activity and/or exercise, and have thus far produced disappointing outcomes. As such there has been increased interest in the use of higher effort physical activity and exercise as being potentially more efficacious. Though there is currently debate as to the effectiveness of public health prescription based around higher effort physical activity and exercise, most discussion around this has focused upon modes considered to be traditionally ‘aerobic’ (e.g. running, cycling, rowing, swimming etc.). A mode customarily performed to a relatively high intensity of effort that we believe has been overlooked is resistance training. Current guidelines do include recommendations to engage in ‘muscle strengthening activities’ though there has been very little emphasis upon these modes in either research or public health effort. As such the purpose of this debate article is to discuss the emerging higher effort paradigm in physical activity and exercise for public health and to make a case for why there should be a greater emphasis placed upon resistance training as a mode in this paradigm shift
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