scholarly journals A Dynamic Population Model to Investigate Effects of Climate and Climate-Independent Factors on the Lifecycle ofAmblyomma americanum(Acari: Ixodidae)

2015 ◽  
Vol 53 (1) ◽  
pp. 99-115 ◽  
Author(s):  
Antoinette Ludwig ◽  
Howard S. Ginsberg ◽  
Graham J. Hickling ◽  
Nicholas H. Ogden
Keyword(s):  
Population Model ◽  
Dynamic Population

scholarly journals Future Impact of Various Interventions on the Burden of COPD in Canada: A Dynamic Population Model

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e46746 ◽  
Author(s):  
Mehdi Najafzadeh ◽  
Carlo A. Marra ◽  
Larry D. Lynd ◽  
Mohsen Sadatsafavi ◽  
J. Mark FitzGerald ◽  
...  
Keyword(s):  
Population Model ◽  
Dynamic Population

A dynamic population model to investigate effects of climate on geographic range and seasonality of the tick Ixodes scapularis

2005 ◽  
Vol 35 (4) ◽  
pp. 375-389 ◽  
Author(s):  
N.H. Ogden ◽  
M. Bigras-Poulin ◽  
C.J. O'Callaghan ◽  
I.K. Barker ◽  
L.R. Lindsay ◽  
...  
Keyword(s):  
Population Model ◽  
Ixodes Scapularis ◽  
Geographic Range ◽  
Dynamic Population

scholarly journals Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size

2008 ◽  
Vol 66 (1) ◽  
pp. 122-131 ◽  
Author(s):  
W. J. F. Le Quesne ◽  
Edward A. Codling
Keyword(s):  
Protected Areas ◽  
Marine Protected Areas ◽  
Larval Dispersal ◽  
Population Model ◽  
Marine Reserves ◽  
Spatially Explicit ◽  
Fishing Mortality ◽  
Mobile Species ◽  
Explicit Dynamic ◽  
Dynamic Population

Abstract Le Quesne, W. J. F., and Codling, E. A. 2009. Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size. – ICES Journal of Marine Science, 66: 122–131. The use of closed areas (marine protected areas, marine reserves, no-take zones) has been suggested as a possible solution to the perceived global fisheries crisis. However, to optimize the design and evaluate the effectiveness of closed areas, we need to understand the interaction between larval dispersal, adult mobility, and fishing mortality. In this paper, a simple, spatially explicit dynamic population model was developed to examine the effects of these interacting factors on optimal closure size and resulting yields. The effect of using one large or several smaller closed areas was also examined. Our model confirmed previous results: closed areas do not improve the yield of populations that are optimally managed or underexploited and, as mobility increases, optimum closure size increases. The model also predicted some interesting counter-intuitive results; for overexploited stocks, the greatest benefit from closed areas can be obtained for stocks with highest mobility, although this may require closure of 85% of the total area. For the tested parameter settings, adult spillover had greater potential to improve yield than larval export, and using several small closed areas rather than a single larger one had the same effect as increasing the mobility of the population.

Use of a dynamic population model to estimate mortality and recruitment trends for Bonefish in Florida bay

2018 ◽  
Vol 102 (2) ◽  
pp. 349-363 ◽  
Author(s):  
G. Klarenberg ◽  
R. Ahrens ◽  
S. Shaw ◽  
M. Allen
Keyword(s):  
Population Model ◽  
Florida Bay ◽  
Dynamic Population

A Population Study of Integrate-and-Fire-or-Burst Neurons

2002 ◽  
Vol 14 (5) ◽  
pp. 957-986 ◽  
Author(s):  
A.R.R. Casti ◽  
A. Omurtag ◽  
A. Sornborger ◽  
E. Kaplan ◽  
B. Knight ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Phase Space ◽  
Population Study ◽  
Minimal Model ◽  
Population Model ◽  
Realistic Model ◽  
Two Dimensional ◽  
Integrate And Fire ◽  
Dimensional Phase Space ◽  
Dynamic Population

Any realistic model of the neuronal pathway from the retina to the visual cortex (V1) must account for the burstingbehavior of neurons in the lateral geniculate nucleus (LGN). A robust but minimal model, the integrate- and-fire-or-burst (IFB) model, has recently been proposed for individual LGN neurons. Based on this, we derive a dynamic population model and study a population of such LGN cells. This population model, the first simulation of its kind evolving in a two-dimensional phase space, is used to study the behavior of bursting populations in response to diverse stimulus conditions.

Factors regulating brown trout populations in two French rivers: application of a dynamic population model

2001 ◽  
Vol 17 (4-5) ◽  
pp. 557-569 ◽  
Author(s):  
V. Gouraud ◽  
J.L. Baglinière ◽  
P. Baran ◽  
C. Sabaton ◽  
P. Lim ◽  
...  
Keyword(s):  
Brown Trout ◽  
Population Model ◽  
Dynamic Population

Projecting the Number of Elderly with Cognitive Impairment in China Using a Multi-State Dynamic Population Model

2017 ◽  
Vol 33 (2) ◽  
pp. 89-111 ◽  
Author(s):  
John P. Ansah ◽  
Victoria Koh ◽  
Chi-Tsun Chiu ◽  
Choy-Lye Chei ◽  
Yi Zeng ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Population Model ◽  
State Dynamic ◽  
Dynamic Population
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