1,721,020 research outputs found

    ranc-n/Ranc-et-al.-EcoLett-2021

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    Publicly available program code for: N. Ranc, F. Cagnacci & P.R. Moorcroft. In Press. Memory drives the formation of animal home ranges: evidence from a reintroduction. Ecology Letters

    ranc-n/Ranc-et-al.-PNAS-2021: Ranc-et-al.-PNAS-2021

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    Publicly available dataset and program code for: N. Ranc, P.R. Moorcroft, F. Ossi & F. Cagnacci. 2021. Experimental evidence of memory-based foraging decisions in a large wild mammal. Proceedings of the National Academy of Sciences of the United States of America Vol. 118 e2014856118. https://doi.org/10.1073/pnas.2014856118 Version 1.0 released on 17 March 2021

    Ecological and behavioral drivers of supplemental feeding use by roe deer Capreolus capreolus in a peri-urban context

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    Winter supplemental feeding of ungulates potentially alters their use of resources and ecological interactions, yet relatively little is known about the patterns of feeding sites use by target populations. We used camera traps to continuously monitor winter and spring feeding site use in a roe deer population living in a peri-urban area in Northern Italy. We combined circular statistics with generalized additive and linear mixed models to analyze the diel and seasonal pattern of roe deer visits to feeding sites, and the behavioral drivers influencing visit duration. Roe deer visits peaked at dawn and dusk, and decreased from winter to spring when vegetation regrows and temperature increases. Roe deer mostly visited feeding sites solitarily; when this was not the case, they stayed longer at the site, especially when conspecifics were eating, but maintained a bimodal diel pattern of visits. These results support an opportunistic use of feeding sites, following seasonal cycles and the roe deer circadian clock. Yet, the attractiveness of these artificial resources has the potential to alter intra-specific relationships, as competition for their use induces gatherings and may extend the contact time between individuals, with potential behavioral and epidemiological consequences

    Knowing your neighbours: How memory‐mediated conspecific avoidance influences home ranges

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    In Focus: Ellison, N., Hatchwell, B. J., Biddiscombe, S. J., Napper, C. J., & Potts, J. R. (2020). Mechanistic home range analysis reveals drivers of space use patterns for a non-territorial passerine. Journal of Animal Ecology. https://doi.org/10.1111/1365- 2656.13292. Most animals for which space use has been studied restrict their movements into a constrained spatial area: their home range. The ubiquity of this space-use pattern suggests that home ranges are adaptive in a wide range of ecological contexts, and that they likely arise from general biological mechanisms. In this issue, Ellison et al. use a mechanistic home range analysis (MHRA) to uncover the drivers underlying home range patterns in a passerine that is non-territorial. They show that a model integrating both resource preferences (specifically, an attraction to woodland centre), and memory-mediated conspecific avoidance can capture the space-use patterns observed in a wild population of long-tailed tits Aegithalos caudatus. In doing so, their analysis extends the applicability of MHRA to capturing and predicting home range patterns beyond the previously studied cases where spatially exclusive home ranges emerge from scent mark-mediated avoidance responses to neighbouring groups

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Catching roe deer with box-traps: lesson learned from a decadal experience

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    The study of animal movement necessarily relies on the acquisition of data from tagged animals and is thus strongly dependent on the capture success of the target individuals. Box trapping is a quite common methodology implemented to live-catch animals, especially in those contexts where the adoption of other methodologies such as drive nets is logistically complex (e.g., in mountain environments) and/or tele-anesthesia is not a viable option. Despite their wide usage by field ecologists and wildlife managers, we feel that information about the best practices to successfully capture animals through box-trapping remains quite often in the grey literature. Therefore, we present the lesson learned from over 10 years of box-trapping activity on roe deer (Capreolus capreolus) in an alpine environment, where we captured more than 100 individuals in two different study sites. We describe all the phases of roe deer captures, from pre-baiting to the release of the animals, showing the modalities that increment capture success but also the mistakes to be avoided. Among other, we investigate circadian patterns in the capture probability, as well as the link between animal immediate post-release behavior and capture-to-handling interval. Based on the above, we propose a ‘vademecum’ on capture modalities that we hope can be beneficial to ecologists and wildlife managers for tagging wildlife of interest

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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