Search Results - "Royle, J."

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  1. 1

    Trap configuration and spacing influences parameter estimates in spatial capture-recapture models by Sun, Catherine C, Fuller, Angela K, Royle, J Andrew

    Published in PloS one (05-02-2014)
    “…An increasing number of studies employ spatial capture-recapture models to estimate population size, but there has been limited research on how different…”
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  2. 2

    Impacts of forest fragmentation on species richness: a hierarchical approach to community modelling by Zipkin, Elise F, DeWan, Amielle, Andrew Royle, J

    Published in The Journal of applied ecology (01-08-2009)
    “…1. Species richness is often used as a tool for prioritizing conservation action. One method for predicting richness and other summaries of community structure…”
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  3. 3

    Migratory behavior and winter geography drive differential range shifts of eastern birds in response to recent climate change by Rushing, Clark S., Royle, J. Andrew, Ziolkowski, David J., Pardieck, Keith L.

    “…Over the past half century, migratory birds in North America have shown divergent population trends relative to resident species, with the former declining…”
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  5. 5

    Clathrin-Mediated Endocytosis Is the Dominant Mechanism of Vesicle Retrieval at Hippocampal Synapses by Granseth, Björn, Odermatt, Benjamin, Royle, Stephen J., Lagnado, Leon

    Published in Neuron (Cambridge, Mass.) (21-09-2006)
    “…The maintenance of synaptic transmission requires that vesicles be recycled after releasing neurotransmitter. Several modes of retrieval have been proposed to…”
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  6. 6

    N-Mixture Models for Estimating Population Size from Spatially Replicated Counts by Royle, J. Andrew

    Published in Biometrics (01-03-2004)
    “…Spatial replication is a common theme in count surveys of animals. Such surveys often generate sparse count data from which it is difficult to estimate…”
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  7. 7

    Sharing land via keystone structure: Retaining naturally regenerated trees may efficiently benefit birds in plantations by Yamaura, Yuichi, Unno, Akira, Royle, J. Andrew

    Published in Ecological applications (01-04-2023)
    “…Meeting food/wood demands with increasing human population and per‐capita consumption is a pressing conservation issue, and is often framed as a choice between…”
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  8. 8

    A Bayesian State-space Formulation of Dynamic Occupancy Models by Royle, J. Andrew, Kéry, Marc

    Published in Ecology (Durham) (01-07-2007)
    “…Species occurrence and its dynamic components, extinction and colonization probabilities, are focal quantities in biogeography and metapopulation biology, and…”
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  9. 9

    Optimal sampling design for spatial capture–recapture by Dupont, Gates, Royle, J. Andrew, Nawaz, Muhammad Ali, Sutherland, Chris

    Published in Ecology (Durham) (01-03-2021)
    “…Spatial capture–recapture (SCR) has emerged as the industry standard for estimating population density by leveraging information from spatial locations of…”
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  10. 10

    Spatially explicit models for inference about density in unmarked or partially marked populations by Chandler, Richard B., Royle, J. Andrew

    Published in The annals of applied statistics (01-06-2013)
    “…Recently developed spatial capture–recapture (SCR) models represent a major advance over traditional capture–recapture (CR) models because they yield explicit…”
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  11. 11

    Hierarchical Bayes estimation of species richness and occupancy in spatially replicated surveys by Kéry, M., Royle, J. A.

    Published in The Journal of applied ecology (01-04-2008)
    “…1. Species richness is the most widely used biodiversity metric, but cannot be observed directly as, typically, some species are overlooked. Imperfect…”
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  12. 12

    A Hierarchical Model for Spatial Capture-Recapture Data by Royle, J. Andrew, Young, Kevin V.

    Published in Ecology (Durham) (01-08-2008)
    “…Estimating density is a fundamental objective of many animal population studies. Application of methods for estimating population size from ostensibly closed…”
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  13. 13

    Inference about density and temporary emigration in unmarked populations by Chandler, Richard B, Royle, J. Andrew, King, David I

    Published in Ecology (Durham) (01-07-2011)
    “…Few species are distributed uniformly in space, and populations of mobile organisms are rarely closed with respect to movement, yet many models of density rely…”
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  14. 14

    Multi-species occurrence models to evaluate the effects of conservation and management actions by Zipkin, Elise F., Andrew Royle, J., Dawson, Deanna K., Bates, Scott

    Published in Biological conservation (01-02-2010)
    “…Conservation and management actions often have direct and indirect effects on a wide range of species. As such, it is important to evaluate the impacts that…”
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  15. 15

    Spatial proximity moderates genotype uncertainty in genetic tagging studies by Augustine, Ben C., Royle, J. Andrew, Linden, Daniel W., Fuller, Angela K.

    “…Accelerating declines of an increasing number of animal populations worldwide necessitate methods to reliably and efficiently estimate demographic parameters…”
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  16. 16

    Designing occupancy studies: general advice and allocating survey effort by MacKenzie, D.I, Royle, J.A

    Published in The Journal of applied ecology (01-12-2005)
    “…1. The fraction of sampling units in a landscape where a target species is present (occupancy) is an extensively used concept in ecology. Yet in many…”
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  17. 17

    FerriTag is a new genetically-encoded inducible tag for correlative light-electron microscopy by Clarke, Nicholas I., Royle, Stephen J.

    Published in Nature communications (04-07-2018)
    “…A current challenge is to develop tags to precisely visualize proteins in cells by light and electron microscopy. Here, we introduce FerriTag, a…”
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  18. 18

    A review of N‐mixture models by Madsen, Lisa, Royle, J. Andrew

    “…N‐mixture models were born in 2004 of the necessity to model animal population size from point counts with imperfect detection of individuals, where…”
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  19. 19

    Estimating true instead of apparent survival using spatial Cormack–Jolly–Seber models by Schaub, Michael, Royle, J. Andrew, Barker, Richard

    Published in Methods in ecology and evolution (01-12-2014)
    “…Summary Survival is often estimated from capture–recapture data using Cormack–Jolly–Seber (CJS) models, where mortality and emigration cannot be distinguished,…”
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  20. 20

    Know what you don't know: Embracing state uncertainty in disease‐structured multistate models by Hollanders, Matthijs, Royle, J. Andrew

    Published in Methods in ecology and evolution (01-12-2022)
    “…Hidden Markov models (HMMs) are broadly applicable hierarchical models that derive their utility from separating state processes from observation processes…”
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