Don DeAngelis, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 195
Carrying capacity of spatially distributed metapopulations Carrying capacity of spatially distributed metapopulations
Carrying capacity is a key concept in ecology. A body of theory, based on the logistic equation, has extended predictions of carrying capacity to spatially distributed, dispersing populations. However, this theory has only recently been tested empirically. The experimental results disagree with some theoretical predictions of when they are extended to a population dispersing randomly in...
Authors
Bo Zhang, Don DeAngelis, Wei-Ming Ni
The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism
The Overview, Design concepts and Details (ODD) protocol for describing Individual- and Agent-Based Models (ABMs) is now widely accepted and used to document such models in journal articles. As a standardized document for providing a consistent, logical and readable account of the structure and dynamics of ABMs, some research groups also find it useful as a workflow for model design...
Authors
Volker Grimm, Steven F. Railsback, Christian Vincenot, Uta Berger, Cara Gallagher, Don DeAngelis, Bruce Edmonds, Jiaqi Ge, Jarl Giske, Jurgen Groeneveld, Alice S.A. Johnston, Alexander Miles, Jacob Nabe-Nielson, J. Gareth Polhill, Viktoriia Radchuk, Marie-Sophie Rohwader, Richard A. Stillman, Jan Theile, Daniel Ayllon
An overview of agent-based models in plant biology and ecology An overview of agent-based models in plant biology and ecology
Agent-based modeling (ABM) has become an established methodology in many areas of biology, ranging from the cellular to the ecological population and community levels. In plant science, two different scales have predominated in their use of ABM. One is the scale of populations and communities, through the modeling of collections of agents representing individual plants, interacting with...
Authors
Bo Zhang, Donald L. DeAngelis
Effect of stressors on the carrying capacity of spatially distributed metapopulations Effect of stressors on the carrying capacity of spatially distributed metapopulations
Stressors such as antibiotics, herbicides, and pollutants are becoming increasingly common in the environment. The effects of stressors on populations are typically studied in homogeneous, nonspatial settings. However, most populations in nature are spatially distributed over environmentally heterogeneous landscapes with spatially restricted dispersal. Little is known about the effects...
Authors
Bo Zhang, Don DeAngelis, Wei-Ming Ni, Yuanshi Wang, Lu Zhai, Alex Kula, Shuang Xu, J. David Van Dyken
Modeling soil porewater salinity response to drought in tidal freshwater forested wetlands Modeling soil porewater salinity response to drought in tidal freshwater forested wetlands
There is a growing concern about the adverse effects of saltwater intrusion via tidal rivers, streams and creeks into tidal freshwater forested wetlands (TFFW) due to sea‐level rise (SLR) and intense and extended drought events. However, the magnitude and duration of porewater salinity in exceedance of plant salinity stress threshold (2 practical salinity units, psu) and the controlling...
Authors
Hongqing Wang, Ken W. Krauss, Gregory E. Noe, Camille L. Stagg, Christopher M. Swarzenski, Jamie A. Duberstein, William H. Conner, Donald L. DeAngelis
Carrying capacity of a population diffusing in a heterogeneous environment Carrying capacity of a population diffusing in a heterogeneous environment
The carrying capacity of the environment for a population is one of the key concepts in ecology and it is incorporated in the growth term of reaction-diffusion equations describing populations in space. Analysis of reaction-diffusion models of populations in heterogeneous space have shown that, when the maximum growth rate and carrying capacity in a logistic growth function vary in space
Authors
Don DeAngelis, Bo Zhang, Wei-Ming Ni, Yuanshi Wang
Science and Products
Filter Total Items: 195
Carrying capacity of spatially distributed metapopulations Carrying capacity of spatially distributed metapopulations
Carrying capacity is a key concept in ecology. A body of theory, based on the logistic equation, has extended predictions of carrying capacity to spatially distributed, dispersing populations. However, this theory has only recently been tested empirically. The experimental results disagree with some theoretical predictions of when they are extended to a population dispersing randomly in...
Authors
Bo Zhang, Don DeAngelis, Wei-Ming Ni
The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism
The Overview, Design concepts and Details (ODD) protocol for describing Individual- and Agent-Based Models (ABMs) is now widely accepted and used to document such models in journal articles. As a standardized document for providing a consistent, logical and readable account of the structure and dynamics of ABMs, some research groups also find it useful as a workflow for model design...
Authors
Volker Grimm, Steven F. Railsback, Christian Vincenot, Uta Berger, Cara Gallagher, Don DeAngelis, Bruce Edmonds, Jiaqi Ge, Jarl Giske, Jurgen Groeneveld, Alice S.A. Johnston, Alexander Miles, Jacob Nabe-Nielson, J. Gareth Polhill, Viktoriia Radchuk, Marie-Sophie Rohwader, Richard A. Stillman, Jan Theile, Daniel Ayllon
An overview of agent-based models in plant biology and ecology An overview of agent-based models in plant biology and ecology
Agent-based modeling (ABM) has become an established methodology in many areas of biology, ranging from the cellular to the ecological population and community levels. In plant science, two different scales have predominated in their use of ABM. One is the scale of populations and communities, through the modeling of collections of agents representing individual plants, interacting with...
Authors
Bo Zhang, Donald L. DeAngelis
Effect of stressors on the carrying capacity of spatially distributed metapopulations Effect of stressors on the carrying capacity of spatially distributed metapopulations
Stressors such as antibiotics, herbicides, and pollutants are becoming increasingly common in the environment. The effects of stressors on populations are typically studied in homogeneous, nonspatial settings. However, most populations in nature are spatially distributed over environmentally heterogeneous landscapes with spatially restricted dispersal. Little is known about the effects...
Authors
Bo Zhang, Don DeAngelis, Wei-Ming Ni, Yuanshi Wang, Lu Zhai, Alex Kula, Shuang Xu, J. David Van Dyken
Modeling soil porewater salinity response to drought in tidal freshwater forested wetlands Modeling soil porewater salinity response to drought in tidal freshwater forested wetlands
There is a growing concern about the adverse effects of saltwater intrusion via tidal rivers, streams and creeks into tidal freshwater forested wetlands (TFFW) due to sea‐level rise (SLR) and intense and extended drought events. However, the magnitude and duration of porewater salinity in exceedance of plant salinity stress threshold (2 practical salinity units, psu) and the controlling...
Authors
Hongqing Wang, Ken W. Krauss, Gregory E. Noe, Camille L. Stagg, Christopher M. Swarzenski, Jamie A. Duberstein, William H. Conner, Donald L. DeAngelis
Carrying capacity of a population diffusing in a heterogeneous environment Carrying capacity of a population diffusing in a heterogeneous environment
The carrying capacity of the environment for a population is one of the key concepts in ecology and it is incorporated in the growth term of reaction-diffusion equations describing populations in space. Analysis of reaction-diffusion models of populations in heterogeneous space have shown that, when the maximum growth rate and carrying capacity in a logistic growth function vary in space
Authors
Don DeAngelis, Bo Zhang, Wei-Ming Ni, Yuanshi Wang