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Donald L. DeAngelis

Researcher at United States Geological Survey

Publications -  297
Citations -  26031

Donald L. DeAngelis is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Population & Mutualism (biology). The author has an hindex of 56, co-authored 291 publications receiving 23885 citations. Previous affiliations of Donald L. DeAngelis include University of Miami & University of Alabama in Huntsville.

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The interaction of spatial scale and predator-prey functional response

TL;DR: A spatially-explicit model of periphyton was developed in which snails were modeled as individuals in their movement and feeding, and peripHYton was modeled as patches or spatial cells, and it was expected that a ratio-dependent functional response may be observed if the herbivore behaves according to the third assumption.
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Modelling the effects of seasonality and socioeconomic impact on the transmission of rift valley Fever virus.

TL;DR: An almost periodic three-patch model is proposed to investigate the transmission dynamics of RVF virus (RVFV) among ruminants with spatial movements and shows that when the time for festival preparation starts earlier than usual, the risk of massive disease outbreaks rises, particularly in patch 3 (the place where the religious ceremony will be held).
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Analysis of compensatory Leslie matrix models for competing species

TL;DR: Analytic conditions determining the stability of equilibria to small perturbations are developed for general discrete time, multiple age-class models of two competing or mutualistic species and the applicability of the stability conditions to multispecies communities is discussed.
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An individual-based model of rabbit viral haemorrhagic disease in European wild rabbits (Oryctolagus cuniculus)

TL;DR: These models provide a basis for describing the disease in realistic detail and for assessing influence of various social and spatial factors on spread and suggest the way that the model represents the spatial distribution of the population affects simulation.
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Prediction of Plant Vulnerability to Salinity Increase in a Coastal Ecosystem by Stable Isotope Composition (δ18O) of Plant Stem Water: A Model Study

TL;DR: In this paper, stable isotope 18O abundance was used as a tracer in various hydrologic components (for example, vadose zone, water table) in a previously published model describing ecosystem shifts between hammock and mangrove communities in southern Florida.