Don DeAngelis, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 195
A standard protocol for describing individual-based and agent-based models A standard protocol for describing individual-based and agent-based models
Simulation models that describe autonomous individual organisms (individual based models, IBM) or agents (agent-based models, ABM) have become a widely used tool, not only in ecology, but also in many other disciplines dealing with complex systems made up of autonomous entities. However, there is no standard protocol for describing such simulation models, which can make them difficult to
Authors
Volker Grimm, Uta Berger, Finn Bastiansen, Sigrunn Eliassen, Vincent Ginot, Jarl Giske, John Goss-Custard, Tamara Grand, Simone K. Heinz, Geir Huse, Andreas Huth, Jane U. Jepsen, Christian Jorgensen, Wolf M. Mooij, Birgit Muller, Guy Pe’er, Cyril Piou, Steven F. Railsback, Andrew M. Robbins, Martha M. Robbins, Eva Rossmanith, Nadja Ruger, Espen Strand, Sami Souissi, Richard A. Stillman, Rune Vabo, Ute Visser, Donald L. DeAngelis
Comment on "Asymmetric coevolutionary networks facilitate biodiversity maintenance" Comment on "Asymmetric coevolutionary networks facilitate biodiversity maintenance"
Bascompte et al. (Reports, 21 April 2006, p. 431) used network asymmetries to explain mathematical conditions necessary for stability in historic models of mutualism. The Lotka-Volterra equations they used artificially created conditions in which some factor, such as asymmetric interaction strengths, is necessary for community coexistence. We show that a more realistic model...
Authors
J. Nathaniel Holland, Toshinori Okuyama, Donald L. DeAngelis
Host mating system and the prevalence of a disease in a plant population Host mating system and the prevalence of a disease in a plant population
A modified susceptible–infected–recovered (SIR) host–pathogen model is used to determine the influence of plant mating system on the outcome of a host–pathogen interaction. Unlike previous models describing how interactions between mating system and pathogen infection affect individual fitness, this model considers the potential consequences of varying mating systems on the prevalence of
Authors
Jennifer M. Koslow, Donald L. DeAngelis
Emergence of ratio-dependent and predator-dependent functional responses for pollination mutualism and seed parasitism Emergence of ratio-dependent and predator-dependent functional responses for pollination mutualism and seed parasitism
Prey (N) dependence [g(N)], predator (P) dependence [g(P) or g(N,P)], and ratio dependence [f(P/N)] are often seen as contrasting forms of the predator's functional response describing predator consumption rates on prey resources in predator–prey and parasitoid–host interactions. Analogously, prey-, predator-, and ratio-dependent functional responses are apparently alternative functional...
Authors
Donald L. DeAngelis, J. Nathaniel Holland
Multimodeling: new approaches for linking ecological models Multimodeling: new approaches for linking ecological models
The Everglades region of South Florida presents one of the major natural system management challenges facing the United States. With its assortment of alligators, crocodiles, manatees, panthers, large mixed flocks of wading birds, highly diverse subtropical flora, and sea of sawgrass, the ecosystem is unique in this country (Davis and Ogden 1994). The region is also perhaps the largest...
Authors
Louis J. Gross, Donald L. DeAngelis
Individual-based modeling of ecological and evolutionary processes Individual-based modeling of ecological and evolutionary processes
Individual-based models (IBMs) allow the explicit inclusion of individual variation in greater detail than do classical differential-equation and difference-equation models. Inclusion of such variation is important for continued progress in ecological and evolutionary theory. We provide a conceptual basis for IBMs by describing five major types of individual variation in IBMs: spatial...
Authors
Donald L. DeAngelis, Wolf M. Mooij
Science and Products
Filter Total Items: 195
A standard protocol for describing individual-based and agent-based models A standard protocol for describing individual-based and agent-based models
Simulation models that describe autonomous individual organisms (individual based models, IBM) or agents (agent-based models, ABM) have become a widely used tool, not only in ecology, but also in many other disciplines dealing with complex systems made up of autonomous entities. However, there is no standard protocol for describing such simulation models, which can make them difficult to
Authors
Volker Grimm, Uta Berger, Finn Bastiansen, Sigrunn Eliassen, Vincent Ginot, Jarl Giske, John Goss-Custard, Tamara Grand, Simone K. Heinz, Geir Huse, Andreas Huth, Jane U. Jepsen, Christian Jorgensen, Wolf M. Mooij, Birgit Muller, Guy Pe’er, Cyril Piou, Steven F. Railsback, Andrew M. Robbins, Martha M. Robbins, Eva Rossmanith, Nadja Ruger, Espen Strand, Sami Souissi, Richard A. Stillman, Rune Vabo, Ute Visser, Donald L. DeAngelis
Comment on "Asymmetric coevolutionary networks facilitate biodiversity maintenance" Comment on "Asymmetric coevolutionary networks facilitate biodiversity maintenance"
Bascompte et al. (Reports, 21 April 2006, p. 431) used network asymmetries to explain mathematical conditions necessary for stability in historic models of mutualism. The Lotka-Volterra equations they used artificially created conditions in which some factor, such as asymmetric interaction strengths, is necessary for community coexistence. We show that a more realistic model...
Authors
J. Nathaniel Holland, Toshinori Okuyama, Donald L. DeAngelis
Host mating system and the prevalence of a disease in a plant population Host mating system and the prevalence of a disease in a plant population
A modified susceptible–infected–recovered (SIR) host–pathogen model is used to determine the influence of plant mating system on the outcome of a host–pathogen interaction. Unlike previous models describing how interactions between mating system and pathogen infection affect individual fitness, this model considers the potential consequences of varying mating systems on the prevalence of
Authors
Jennifer M. Koslow, Donald L. DeAngelis
Emergence of ratio-dependent and predator-dependent functional responses for pollination mutualism and seed parasitism Emergence of ratio-dependent and predator-dependent functional responses for pollination mutualism and seed parasitism
Prey (N) dependence [g(N)], predator (P) dependence [g(P) or g(N,P)], and ratio dependence [f(P/N)] are often seen as contrasting forms of the predator's functional response describing predator consumption rates on prey resources in predator–prey and parasitoid–host interactions. Analogously, prey-, predator-, and ratio-dependent functional responses are apparently alternative functional...
Authors
Donald L. DeAngelis, J. Nathaniel Holland
Multimodeling: new approaches for linking ecological models Multimodeling: new approaches for linking ecological models
The Everglades region of South Florida presents one of the major natural system management challenges facing the United States. With its assortment of alligators, crocodiles, manatees, panthers, large mixed flocks of wading birds, highly diverse subtropical flora, and sea of sawgrass, the ecosystem is unique in this country (Davis and Ogden 1994). The region is also perhaps the largest...
Authors
Louis J. Gross, Donald L. DeAngelis
Individual-based modeling of ecological and evolutionary processes Individual-based modeling of ecological and evolutionary processes
Individual-based models (IBMs) allow the explicit inclusion of individual variation in greater detail than do classical differential-equation and difference-equation models. Inclusion of such variation is important for continued progress in ecological and evolutionary theory. We provide a conceptual basis for IBMs by describing five major types of individual variation in IBMs: spatial...
Authors
Donald L. DeAngelis, Wolf M. Mooij