A discrete stage-structured model of California newt population dynamics during a period of drought

2017 ◽  
Vol 414 ◽  
pp. 245-253 ◽  
Author(s):  
Marjorie T. Jones ◽  
William R. Milligan ◽  
Lee B. Kats ◽  
Thomas L. Vandergon ◽  
Rodney L. Honeycutt ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Structured Model

A finite element method to solve a population dynamics stage-structured model of intertidal barnacles

2008 ◽  
Vol 214 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Ana Paula C. Rio Doce ◽  
Regina C. Almeida ◽  
Michel I.da S. Costa
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Population Dynamics ◽  
Structured Model ◽  
Element Method

Managing the commercial harvest of kangaroos in the Murray-Darling Basin.

2004 ◽  
Vol 26 (1) ◽  
pp. 9 ◽  
Author(s):  
SR McLeod ◽  
RB Hacker ◽  
JP Druhan
Keyword(s):  
Population Dynamics ◽  
Sex Ratio ◽  
Wildlife Management ◽  
Structured Model ◽  
Harvest Rate ◽  
Stakeholder Groups ◽  
Commercial Harvest ◽  
Murray Darling Basin ◽  
Wide Range ◽  
Harvest Strategy

In this study a new, physiologically structured model of kangaroo population dynamics is described. The model has been used to examine a wide range of harvest rate � sex ratio combinations, following a simple harvest strategy where the quota was proportional to population size. The combinations of harvest rate and sex ratio in the harvest that best suited the objectives of the stakeholder groups (non-Government conservationists, wildlife management agencies, the kangaroo industry and pastoralists) were identified using multicriteria decision analysis. The best combinations for the stakeholder groups non-Government conservationists, wildlife management agencies and the kangaroo industry were characterised by a strong male bias (90 ? 100% male) and low to moderate harvest rates (10 ? 40% per annum). The best solutions for pastoralists were female biased (at least 70% females) with high harvest rates (90% per annum).

Modelling crayfish population dynamics using catch data: A size-structured model

2009 ◽  
Vol 220 (20) ◽  
pp. 2727-2733 ◽  
Author(s):  
Dinara Sadykova ◽  
Jostein Skurdal ◽  
Alexander Sadykov ◽  
Trond Taugbol ◽  
Dag O. Hessen
Keyword(s):  
Population Dynamics ◽  
Structured Model ◽  
Catch Data ◽  
Crayfish Population

scholarly journals The dynamics of starvation and recovery

2017 ◽  
Author(s):  
Justin D. Yeakel ◽  
Christopher P. Kempes ◽  
Sidney Redner
Keyword(s):  
Population Dynamics ◽  
Allometric Scaling ◽  
Evolutionary Dynamics ◽  
Percent Body Fat ◽  
Structured Model ◽  
Homogeneous Population ◽  
Population Extinction ◽  
Scaling Relationships ◽  
Energetic Constraints ◽  
Cope’S Rule

The eco-evolutionary dynamics of species are fundamentally linked to the energetic constraints of its constituent individuals. Of particular importance is the interplay between reproduction and the dynamics of starvation and recovery. To elucidate this interplay, we introduce a nutritional state-structured model that incorporates two classes of consumer: nutritionally replete, reproducing consumers, and undernourished, non-reproducing consumers. We obtain strong constraints on starvation and recovery rates by deriving allometric scaling relationships and find that population dynamics are typically driven to a steady state. Moreover, these rates fall within a ‘refuge’ in parameter space, where the probability of population extinction is minimized. We also show that our model provides a natural framework to predict maximum mammalian body size by determining the relative stability of an otherwise homogeneous population to a competing population with altered percent body fat. This framework provides a principled mechanism for a selective driver of Cope’s rule.

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