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Lisa M. Angeloni

Researcher at Colorado State University

Publications -  64
Citations -  2592

Lisa M. Angeloni is an academic researcher from Colorado State University. The author has contributed to research in topics: Population & Predation. The author has an hindex of 24, co-authored 61 publications receiving 2042 citations. Previous affiliations of Lisa M. Angeloni include University of California, San Diego.

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Mate choice and uncertainty in the decision process.

TL;DR: This paper derives solutions to the sequential search strategy and the fixed sample search strategy for the general situation in which observed and unobserved male attributes affect the fitness consequences of female mate choice decisions and determines how the magnitude of various parameters that are influential in the standard models alter these more general solutions.
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Reproductive Ecology of the Island Scrub-Jay

TL;DR: Investigation of the reproductive ecology of the Island Scrub-Jay found the high frequency of renesting allowed pairs to fledge an average of 1.1 young per year, and chaparral habitats on Santa Cruz Island are regenerating following the removal of exotic herbivores, which could in turn increase and improve breeding habitat for this island endemic.
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Anthropogenic noise in US national parks – sources and spatial extent

TL;DR: In this article, the authors identify the most frequent sources of noise and anthropogenic features associated with them, and which of these sources predict landscape levels of noise estimated using geospatial models, and summaries of these noise metrics across different protection categories (ie park type, wilderness areas, and critical habitat of US endangered species).
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Ectoparasites of the island fox on Santa Cruz Island.

TL;DR: The ectoparasite fauna for island foxes on Santa Cruz Island in April and September of 1998 was evaluated and fleas, lice, and ticks were identified.
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Gene Flow Constrains and Facilitates Genetically Based Divergence in Quantitative Traits

TL;DR: This study provided a rare opportunity to test how recent gene flow affects genetically based changes in traits with known adaptive significance, and the results attest to the complex interactions between gene flow and selection.