A population model to simulate northern bobwhite population dynamics in southern Texas

2011 ◽  
Vol 75 (2) ◽  
pp. 319-332 ◽  
Author(s):  
Stephen J. DeMaso ◽  
William E. Grant ◽  
Fidel Hernández ◽  
Leonard A. Brennan ◽  
Nova J. Silvy ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Population Model ◽  
Northern Bobwhite

Numerical Analysis of the Age-Sex-Structured Population Dynamics Taking into Account Spatial Diffusion

2005 ◽  
Vol 10 (4) ◽  
pp. 365-381 ◽  
Author(s):  
Š. Repšys ◽  
V. Skakauskas
Keyword(s):  
Population Dynamics ◽  
Numerical Analysis ◽  
Population Model ◽  
Local Stability ◽  
Deterministic Model ◽  
Random Mating ◽  
Spatial Diffusion ◽  
Neumann Problems ◽  
Structured Population ◽  
Structured Population Dynamics

We present results of the numerical investigation of the homogenous Dirichlet and Neumann problems to an age-sex-structured population dynamics deterministic model taking into account random mating, female’s pregnancy, and spatial diffusion. We prove the existence of separable solutions to the non-dispersing population model and, by using the numerical experiment, corroborate their local stability.

scholarly journals Harvest impacts on caribou population dynamics in South West Greenland

Rangifer ◽  
2011 ◽  
pp. 135-145
Author(s):  
Lars Witting ◽  
Christine Cuyler
Keyword(s):  
Population Dynamics ◽  
Population Model ◽  
Population Decline ◽  
Short Term ◽  
Target Density ◽  
West Greenland ◽  
Total Absence ◽  
South West ◽  
The Future

We examined the effects of hunting on caribou populations in South West Greenland from year 1999 to 2007. In the Ameralik area a reported average annual harvest of 2950 caribou coincided with a population decline from 31 000 (90% CI: 22 000 - 44 000) animals in 1999 to 8900 (90% CI: 5800 - 13 000) in 2007. A survey estimate from 2006 indicates that a suggested target caribou density of 1.2 / km2 was met. A Bayesian population model estimates the annual replacement for Ameralik at minus 170 individuals (90% CI: -550 - 460), which indicates that the target density may or may not be maintained even in the total absence of a hunt. For the Qeqertarsuatsiaat area an average annual harvest of 230 caribou appears to have left the density unaffected, remaining steady on target with an abundance of approximately 5000 individuals. The harvest in this area increased from 100 animals in 2000 to 440 in 2006. With an estimated 2007 replacement of 190 (90% CI: -190- 960) caribou per year the target density may not be maintained in the future unless hunting restrictions are implemented. The density of caribou in Qeqertarsuatsiaat may, however, be maintained over the short term if the emigration of animals from Ameralik into Qeqertarsuatsiaat continues.

scholarly journals COOPERATION ON SOCIAL NETWORKS AND ITS ROBUSTNESS

2012 ◽  
Vol 15 (supp01) ◽  
pp. 1250046 ◽  
Author(s):  
ALBERTO ANTONIONI ◽  
MARCO TOMASSINI
Keyword(s):  
Social Networks ◽  
Population Dynamics ◽  
Numerical Simulations ◽  
Population Model ◽  
Evolutionary Games ◽  
Computer Models ◽  
Scale Free ◽  
Average Payoff ◽  
Scale Free Networks ◽  
Update Rules

In this work we have used computer models of social-like networks to show by extensive numerical simulations that cooperation in evolutionary games can emerge and be stable on this class of networks. The amounts of cooperation reached are at least as much as in scale-free networks but here the population model is more realistic. Cooperation is robust with respect to different strategy update rules, population dynamics, and payoff computation. Only when straight average payoff is used or there is high strategy or network noise does cooperation decrease in all games and disappear in the Prisoner's Dilemma.

scholarly journals Statistical Evaluation of Behavior and Population Dynamics Models Predicting Movement and Proportional Entrainment Loss of Adult Delta Smelt in the Sacramento–San Joaquin River Delta

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Josh Korman ◽  
Edward Gross ◽  
Lenny Grimaldo
Keyword(s):  
Population Dynamics ◽  
Population Model ◽  
River Delta ◽  
Movement Behavior ◽  
Future Research ◽  
Modeling Framework ◽  
Delta Smelt ◽  
San Joaquin River ◽  
Population Dynamics Models ◽  
Dynamics Models

There has been considerable debate about effects of entrainment of endangered Delta Smelt (Hypomesus transpacificus) at water export facilities located in the Sacramento–San Joaquin River Delta. In this paper we use a behavior-driven movement model (BMM) to simulate the movement of adult Delta Smelt, which, in conjunction with a population dynamics model, estimates the proportion of the population that is lost to entrainment, i.e., proportional entrainment loss (PEL). Parameters of the population model are estimated by maximum likelihood by comparing predictions to data from Fall Midwater Trawl (FMWT) and Spring Kodiak Trawl (SKT) surveys, as well as to daily salvage estimates. Our objectives are to evaluate different movement behavior hypotheses, to rank estimates of PEL based on how well predictions fit the data, and to sharpen our understanding of the data to inform future research and monitoring decisions. We applied the modeling framework to data from water year 2002—a year when salvage was high—and tested 30 combinations of six behavior and five population dynamics models. More complex process and observation assumptions in the population model led to much improved fits in most cases, but did not appreciably influence PEL predictions, which were largely determined by movement predictions from the BMMs. Estimates of PEL varied considerably among behaviors (2% to 40%). The model with the highest predictive capability explained 98% of the variation in FMWT data across regions, 70% of the variation in SKT data across regions and surveys, and 28% and 43% of the daily variation in salvage at federal and state fish screening facilities, respectively. The PEL estimate from this model was 35%, more than double the original estimate from Kimmerer (2008) of 15%. While PEL estimates provided in this study should be considered preliminary, our framework for testing combined behavior-driven movement models and population dynamics models is an improvement compared to earlier efforts.

scholarly journals Population modelling of <i>Acartia</i> spp. in a water column ecosystem model for the Southern Baltic Sea

2010 ◽  
Vol 7 (1) ◽  
pp. 55-82 ◽  
Author(s):  
L. Dzierzbicka-Glowacka ◽  
I. M. Żmijewska ◽  
S. Mudrak ◽  
J. Jakacki ◽  
A. Lemieszek
Keyword(s):  
Population Dynamics ◽  
Baltic Sea ◽  
Water Column ◽  
Population Model ◽  
Marine Ecosystem ◽  
Ecosystem Model ◽  
State Variables ◽  
Southern Baltic Sea ◽  
Marine Ecosystem Model ◽  
Southern Baltic

Abstract. This paper describes numerical simulations of the seasonal dynamics of Acartia spp. in the Southern Baltic Sea. The studies were carried out using a structured zooplankton population model adapted to Acartia spp. The population model with state variables for eggs, nauplii, five copepodites stages and adults was coupled with a marine ecosystem model. Four state variables for the carbon cycle represent the functional units of phytoplankton, pelagic detritus, benthic detritus, and bulk zooplankton, which represent all zooplankton other than the structured population. The annual cycle simulated for 2000 under realistic weather and hydrographic conditions was studied with the coupled ecosystem–zooplankton model applied to a water column in the Gdańsk Gulf (Southern Baltic Sea). The vertical profiles of selected state variables were compared to the physical forcing to study differences between bulk and structured zooplankton biomass. The simulated population dynamics of Acartia spp. and zooplankton as one biomass state variable were compared with observations in the Gdańsk Gulf. Simulated generation times are more affected by temperature than food conditions except during the spring phytoplankton bloom. The numerical studies are a following step in understanding how the population dynamics of a dominant species in the Southern Baltic Sea interact with the environment.

scholarly journals The Kinship Matrix: Inferring the Kinship Structure of a Population From Its Demography

2021 ◽  
Author(s):  
Christophe F. D. Coste ◽  
François Bienvenu ◽  
Victor Ronget ◽  
Sarah Cubaynes ◽  
Samuel Pavard
Keyword(s):  
Population Dynamics ◽  
Life Cycle ◽  
General Formula ◽  
Population Model ◽  
Matrix Population Model ◽  
Expected Number ◽  
Kinship Matrix ◽  
Structured Population ◽  
Kinship Structure ◽  
General Method

AbstractThe familial structure of a population and the relatedness of its individuals are determined by its demography. There is, however, no general method to infer kinship directly from the life-cycle of a structured population. Yet this question is central to fields such as ecology, evolution and conservation, especially in contexts where there is a strong interdependence between familial structure and population dynamics. Here, we give a general formula to compute, from any matrix population model, the expected number of arbitrary kin (sisters, nieces, cousins, etc) of a focal individual ego, structured by the class of ego and of its kin. Central to our approach are classic but little-used tools known as genealogical matrices, which we combine in a new way. Our method can be used to obtain both individual-based and population-wide metrics of kinship, as we illustrate. It also makes it possible to analyze the sensitivity of the kinship structure to the traits implemented in the model.

A recruitment index and population model for spiny lobster (Panulirus argus) using catch and effort data

1997 ◽  
Vol 54 (6) ◽  
pp. 1414-1421 ◽  
Author(s):  
Paul AH Medley ◽  
Christopher H Ninnes
Keyword(s):  
Population Dynamics ◽  
Seasonal Changes ◽  
Population Model ◽  
Bootstrap Method ◽  
Spiny Lobster ◽  
Management Plan ◽  
Panulirus Argus ◽  
Turks And Caicos Islands ◽  
Spawning Stock ◽  
Stock Recruitment

Using only catch numbers and effort data, we developed a recruitment index that exploits underlying seasonal changes in lobster size frequencies in the Turks and Caicos Islands' spiny lobster (Panulirus argus) fishery. The recruitment index was successfully used to model the lobster population dynamics. An empirical bootstrap method to simulate observation errors suggests that the models are robust enough to form the basis of a management plan. A tentative stock-recruitment relationship between estimates of the spawning stock and recruitment has been identified that can be used to guide escapement levels from the fishery. If correct, the stock-recruitment relationship indicates that the lobster population is largely self-recruiting.

Dispersal, colored environmental noise, and spatial synchrony in population dynamics: analyzing a discrete host–parasitoid population model

2008 ◽  
Vol 24 (2) ◽  
pp. 383-392 ◽  
Author(s):  
Zhiguang Liu ◽  
Meng Gao ◽  
Zizhen Li ◽  
Hua Liu
Keyword(s):  
Population Dynamics ◽  
Population Model ◽  
Environmental Noise ◽  
Spatial Synchrony ◽  
Parasitoid Population
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