scholarly journals A thermal trade‐off between viral production and degradation drives virus‐phytoplankton population dynamics

2021 ◽  
Author(s):  
David Demory ◽  
Joshua S. Weitz ◽  
Anne‐Claire Baudoux ◽  
Suzanne Touzeau ◽  
Natalie Simon ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Viral Production ◽  
Trade Off ◽  
Phytoplankton Population

scholarly journals Laboratory study on the effects of nutrient enrichment on a phytoplankton population in Sawa Lake, Iraq

2008 ◽  
Vol 5 (2) ◽  
pp. 230-236 ◽  
Author(s):  
Baghdad Science Journal
Keyword(s):  
Population Dynamics ◽  
Lake Water ◽  
Nutrient Enrichment ◽  
Cell Number ◽  
Shannon Index ◽  
Nitrogen And Phosphorus ◽  
Phytoplankton Population ◽  
Phytoplankton Cell ◽  
Nitrogen Phosphorus ◽  
Index Of Diversity

Nutrient enrichment of Sawa lake water was made using different nitrogen and phosphorus concentrations during autumn and spring at three stations. Different concentrations of nitrogen, phosphorus and N: P ratios were used to test variations in phytoplankton population dynamics. Nitrogen at a concentration of 25 µmole.l-1 and N: P ratio of 10:1 gave highest phytoplankton cell number at all stations and seasons. A total of 64 algal taxa dominated by Bacillariophyceae followed by Cyanophyceae and Chlorophyceae were identified. The values of Shannon index of diversity were more than one in the studied stations.

scholarly journals Morfologija i ekologija slabo poznatog dinoflagelata Prorocentrum arcuatum (Dinophyceae) iz Medulinskog zaljeva (istočni dio Jadranskog mora)

2017 ◽  
Vol 58 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Sanda Skejić ◽  
Slaven Jozić ◽  
Jacob Larsen ◽  
Olja Vidjak ◽  
Grozdan Kušpilić ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Population Structure ◽  
Environmental Drivers ◽  
Natural Conditions ◽  
Sem Images ◽  
Phytoplankton Population ◽  
Narrow Temperature Range ◽  
Physical Conditions ◽  
Field Samples ◽  
General Similarity

The unusual and prolonged occurrence of rare and poorly known dinoflagellate Prorocentrum arcuatum in the phytoplankton of the shallow aquaculture site in Medulin Bay was recorded from July 2013 to October 2014. This enabled us to investigate changes in abundance and environmental drivers of P. arcuatum population dynamics in natural conditions, and to provide first detailed description of P. arcuatum from field samples based on SEM images. During 15 months of observations we also recorded seasonal variability in P. arcuatum cell size. The optimum physical conditions for P. arcuatum proliferation were reached in autumn 2013, during the narrow temperature range between 19.6 oC – 20.4 oC, and salinity between 36.7 - 37.7. Despite the general similarity in physical conditions in autumn 2014, this increase in the abundance of P. arcuatum was not repeated, which might be connected to higher competition due to observed interannual changes in phytoplankton population structure.

scholarly journals A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series

2022 ◽  
Vol 18 (1) ◽  
pp. e1009733
Author(s):  
Jann Paul Mattern ◽  
Kristof Glauninger ◽  
Gregory L. Britten ◽  
John R. Casey ◽  
Sangwon Hyun ◽  
...  
Keyword(s):  
Time Series ◽  
Population Dynamics ◽  
Size Distribution ◽  
Bayesian Approach ◽  
Critical Parameters ◽  
Microbial Populations ◽  
Series Data ◽  
Matrix Population Models ◽  
Modeling Framework ◽  
Phytoplankton Population

The rates of cell growth, division, and carbon loss of microbial populations are key parameters for understanding how organisms interact with their environment and how they contribute to the carbon cycle. However, the invasive nature of current analytical methods has hindered efforts to reliably quantify these parameters. In recent years, size-structured matrix population models (MPMs) have gained popularity for estimating division rates of microbial populations by mechanistically describing changes in microbial cell size distributions over time. Motivated by the mechanistic structure of these models, we employ a Bayesian approach to extend size-structured MPMs to capture additional biological processes describing the dynamics of a marine phytoplankton population over the day-night cycle. Our Bayesian framework is able to take prior scientific knowledge into account and generate biologically interpretable results. Using data from an exponentially growing laboratory culture of the cyanobacterium Prochlorococcus, we isolate respiratory and exudative carbon losses as critical parameters for the modeling of their population dynamics. The results suggest that this modeling framework can provide deeper insights into microbial population dynamics provided by size distribution time-series data.

scholarly journals Prophylactic host behaviour discourages pathogen exploitation

2019 ◽  
Author(s):  
Evan Mitchell ◽  
Geoff Wild
Keyword(s):  
Population Dynamics ◽  
Disease Transmission ◽  
Costs And Benefits ◽  
Dual Nature ◽  
Trade Off ◽  
Pathogen Virulence ◽  
Prophylactic Measures ◽  
Host Behaviour

SummaryMuch work has considered the evolution of pathogens, but little is known about how they respond to changes in host behaviour. We build a model where hosts are able to choose to engage in prophylactic measures that reduce the likelihood of disease transmission. This choice is mediated by costs and benefits associated with prophylaxis, but the fraction of hosts engaged in prophylaxis is also affected by population dynamics. We identify a critical cost threshold above which hosts do not engage in prophylaxis. Below the threshold, prophylactic host behaviour does occur and pathogen virulence, measured by the extent to which it exploits its host, is reduced by the action of selection relative to the level that would otherwise be predicted in the absence of prophylaxis. Our work emphasizes the significance of the dual nature of the trade-off faced by the pathogen between balancing transmission and recovery, and creating new infections in hosts engaging or not engaging in prophylaxis.

Sign in / Sign up

Export Citation Format

Share Document