Carol E. Rizkalla
Purdue University
12 Papers
76 Citations
Carol E. Rizkalla is an academic researcher from Purdue University. The author has contributed to research in topics: Occupancy & Sciurus carolinensis. The author has an hindex of 8, co-authored 12 publications. Previous affiliations of Carol E. Rizkalla include University of South Florida & AmeriCorps VISTA.
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Papers
The roles of landscape context, niche breadth, and range boundaries in predicting species responses to habitat alteration
TL;DR: The general importance of niche breadth as a predictor of species responses to habitat alteration is demonstrated and the importance of viewing the effects of habitat loss and fragmentation at multiple spatial scales is highlighted.
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Community structure and differential responses of aquatic turtles to agriculturally induced habitat fragmentation
TL;DR: Responses of aquatic turtles to features at multiple spatial scales in an intensively farmed region of the Midwestern United States are assessed, suggesting differential responses to landscape fragmentation.
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Explaining movement decisions of forest rodents in fragmented landscapes
TL;DR: This article studied the ability of white-footed mice (Peromyscus leucopus), eastern chipmunks (Tamias striatus), and southern flying squirrels (Glaucomys volans) to move through agricultural fields in west-central Indi- ana.
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Impact of Seawalls on Loggerhead Sea Turtle (Caretta caretta) Nesting and Hatching Success
Carol E. Rizkalla,Anne Savage +1 more
TL;DR: In this article, the authors investigated the impact of seawalls on sea turtle nesting using observations of loggerhead sea turtles nesting in Florida at a seaward wall over 7 years and a more landward wall over 3 years.
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Testing the generality of patch and landscape-level predictors of tree squirrel occurrence at a regional scale
TL;DR: In this paper, the authors used landowner questionnaires over 6 regions in Indiana to test the performance of predictors from prior studies of more limited spatial extent, and constructed logistic regression and classification tree models using data on 577 forest patches supplied by 362 landowners.