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Full-Text Articles in Physical Sciences and Mathematics
The Traits That Predict The Magnitude And Spatial Scale Of Forest Bird Responses To Urbanization Intensity, Grant D. Paton, Alexandra V. Shoffner, Andrew M. Wilson, Sara A. Gagné
The Traits That Predict The Magnitude And Spatial Scale Of Forest Bird Responses To Urbanization Intensity, Grant D. Paton, Alexandra V. Shoffner, Andrew M. Wilson, Sara A. Gagné
Environmental Studies Faculty Publications
As humans continue moving to urban areas, there is a growing need to understand the effects of urban intensification on native wildlife populations. Forest species in remnant habitat are particularly vulnerable to urban intensification, but the mechanisms behind these effects are poorly understood. An understanding of how species traits, as proxies for mechanisms, mediate the effects of urban intensification on forest species can help fill this knowledge gap. Using a large point count dataset from the Second Pennsylvania Breeding Bird Atlas, we tested for the effects of species traits on the magnitude and spatial scale of the responses of 58 …
Sex‐Biased Survival Contributes To Population Decline In A Long‐Lived Seabird, The Magellanic Penguin, Natasha J. Gownaris, P. D. Boersma
Sex‐Biased Survival Contributes To Population Decline In A Long‐Lived Seabird, The Magellanic Penguin, Natasha J. Gownaris, P. D. Boersma
Environmental Studies Faculty Publications
We developed a Hidden Markov mark–recapture model (R package marked) to examine sex‐specific demography in Magellanic Penguins (Spheniscus magellanicus ). Our model was based on 33 yr of resightings at Punta Tombo, Argentina, where we banded ~44,000 chicks from 1983 to 2010. Because we sexed only 57% of individuals over their lifetime, we treated sex as an uncertain state in our model. Our goals were to provide insight into the population dynamics of this declining colony, to inform conservation of this species, and to highlight the importance of considering sex‐specific vital rates in demographic seabird studies. Like many other …