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Brent J. Danielson

Researcher at Iowa State University

Publications -  54
Citations -  10671

Brent J. Danielson is an academic researcher from Iowa State University. The author has contributed to research in topics: Population & Foraging. The author has an hindex of 29, co-authored 54 publications receiving 10043 citations. Previous affiliations of Brent J. Danielson include University of Oslo & University of Arizona.

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Guidelines of the american society of mammalogists for the use of wild mammals in research

TL;DR: The American Society of Mammalogists (ASM) published guidelines for the use of wild mammal species in research as mentioned in this paper, which provide a broad and comprehensive understanding of the biology of nondomesticated mammals in their natural environments.
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Ecological Processes That Affect Populations in Complex Landscapes

TL;DR: A general framework for understanding the ecological processes that operate at landscape scales is described and the composition of habitat types in a landscape and the physiognomic or spatial arrangement of those habitats are the two essential features that are required to describe any landscape.
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Sources, Sinks, and Habitat Selection: A Landscape Perspective on Population Dynamics

TL;DR: The model allows us to compare the relative contribution of different types of habitats to a species' growth rate and population size and predict how the loss of habitat of a particular type may affect a population.
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Corridors affect plants, animals, and their interactions in fragmented landscapes.

TL;DR: It is demonstrated that corridors not only increase the exchange of animals between patches, but also facilitate two key plant–animal interactions: pollination and seed dispersal, and suggested that increased plant and animal movement through corridors will have positive impacts on plant populations and community interactions in fragmented landscapes.
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Spatially explicit population models: current forms and future uses

TL;DR: Spatially explicit population models are becoming increasingly useful tools for population ecologists, conservation biologists, and land managers as discussed by the authors, where the locations of habitat patches, individuals, and other items of interest are explicitly incorporated into the model and the effect of changing landscape features on population dynamics can be studied.