scholarly journals The consequences of individual variability in moulting probability and the aggregation of stages for modelling copepod population dynamics

2001 ◽  
Vol 23 (11) ◽  
pp. 1279-1296 ◽  
Author(s):  
S. Souissi
2013 ◽  
Vol 71 (3) ◽  
pp. 484-498 ◽  
Author(s):  
J.-O. Meynecke ◽  
R. G. Richards

Abstract The giant mud crab (Scylla serrata) is an important fisheries species throughout southeast Asia and the South Pacific. In Australia, marine protected areas (MPAs) and fish habitats have been declared specifically to protect the local populations of S. serrata. The cannibalistic behaviour of S. serrata coupled with the potential attraction of increased predators may counteract the effect of excluding fishing from these areas as a means of increasing the local crab population. The population dynamics of S. serrata could also be confounded by the spatio-temporal variability in environmental conditions (e.g. run-off and temperature). Here, we used a spatially explicit individual-based model (IBM) to explore the population dynamics of S. serrata in an MPA located in southern Moreton Bay, Queensland, Australia. This IBM simulated the life cycle dynamics of individual S. serrata and integrated the key processes affecting its population dynamics. These processes include physical transport of the planktonic life stages, movement, growth, metamorphosis, setting, reproduction, spawning, harvesting, and predation. Individual variability was built into the model to account for demographic variation. The modelled scenarios indicated that the effect of the different harvest strategies trialled on the population dynamics after 30 months and the MPA influenced the number of individuals in the creek system resulting in a partial 35% population increase. Further development and application of this model has implications for MPAs and catch limits under multiple stressors including climate change.


Author(s):  
Janusz Uchmański

AbstractAn individual-based approach is used to describe population dynamics. Two kinds of models have been constructed with different distributions illustrating individual variability. In both models, the growth rate of an individual and its final body weight at the end of the growth period, which determines the number of offspring, are functions of the amount of resources assimilated by an individual. In the model with a symmetric distribution, the half saturation constant in the Michaelis–Menten function describing the relationship between the growth of individuals and the amount of resources has a normal distribution. In the model with an asymmetric distribution, resources are not equally partitioned among individuals. The individual who acquired more resources in the past, will acquire more resources in the future. A single population comprising identical individuals has a very short extinction time. If individuals differ in the amount of food assimilated, this time significantly increases irrespectively of the type of model describing population dynamics. Individuals of two populations of competing species use common resources. For larger differences in individual variability, the more variable species will have a longer extinction time and will exclude less variable species. Both populations can also coexist when their variabilities are equal or even when they are slightly different, in the latter case under the condition of high variability of both species. These conclusions have a deterministic nature in the case of the model with the asymmetric distribution—repeated simulations give the same results. In the case of the model with the symmetric distribution, these conclusions are of a statistical nature—if we repeat the simulation many times, then the more variable species will have a longer extinction time more frequently, but some results will happen (although less often) when the less variable species has a longer extinction time. Additionally, in the model with the asymmetric distribution, the result of competition will depend on the way of the introduction of variability into the model. If the higher variability is due to an increase in the proportion of individuals with a low assimilation of resources, it can produce a longer extinction time of the less variable species.


2008 ◽  
Vol 360 ◽  
pp. 179-187 ◽  
Author(s):  
Q Hu ◽  
CS Davis ◽  
CM Petrik

2003 ◽  
Vol 63 (4) ◽  
pp. 405-416 ◽  
Author(s):  
Kirsten Christoffersen ◽  
Benni W. Hansen ◽  
Liselotte S. Johansson ◽  
Elisabeth Krog

Oecologia ◽  
2011 ◽  
Vol 167 (2) ◽  
pp. 305-314 ◽  
Author(s):  
Nathalie Pettorelli ◽  
Tim Coulson ◽  
Sarah M. Durant ◽  
Jean-Michel Gaillard

Sarsia ◽  
1997 ◽  
Vol 82 (4) ◽  
pp. 279-296 ◽  
Author(s):  
Dag L. Aksnes ◽  
Charles B. Miller ◽  
Mark D. Ohman ◽  
Simon N. Wood

2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.


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