Effects of heavy localised culling on population distribution of red deer at a landscape scale: an analytical modelling approach

2012 ◽  
Vol 58 (5) ◽  
pp. 781-796 ◽  
Author(s):  
R. J. Putman
Keyword(s):  
Red Deer ◽  
Population Distribution ◽  
Landscape Scale ◽  
Analytical Modelling ◽  
Modelling Approach

scholarly journals Factors and mass ratio analyses for Reactive Blue 19 dye decolorization using ozone: an experimental and analytical modelling approach

2019 ◽  
Vol 24 (3) ◽  
pp. 431-438
Author(s):  
Mayara Sakamoto Lopes ◽  
Rodrigo Braga Moruzzi ◽  
Fabiano Tomazini Conceição ◽  
Mariana Scicia Gabriel Silva ◽  
Maria Lucia Pereira Antunes
Keyword(s):  
Kinetic Studies ◽  
Dye Decolorization ◽  
Analytical Modelling ◽  
Mass Ratio ◽  
Pseudo First Order Reaction ◽  
Bulk Fluid ◽  
Reactive Blue 19 ◽  
Initial Ph ◽  
Power Law Equation ◽  
Modelling Approach

ABSTRACT Dyes highly reduce sunlight penetration into the stream, and consequently affect photosynthesis and oxygen transfer into water bodies. An experimental and analytical modelling approach to Reactive Blue 19 (RB19) removal using ozone was carried out. For this purpose, factors and mass ratio analyses were assessed based on batch assays experiments. Removal efficiency increased from 64 to 94% when the dosage increased from 38.4 to 153.6 mg O3.L-1. Results showed that RB19 is more efficiently removed when initial pH is 7. The rate of RB19 removal decreased as the initial dye concentration increased. Kinetic studies showed that the ozonation of RB19 was a pseudo first-order reaction with respect to the dye, and the apparent rate constant declined logarithmically with the initial dye concentration. Mass ratio studies showed that, for the empirical analysis, the power law equation was adequate to describe mass ratio over time and the analytical analysis suggests that the process is influenced by mass transfer in the liquid film as well as in the bulk fluid.

Seasonal distribution of red deer (Cervus e/aphus) in a forest-agriculture habitat in Hungary

Mammalia ◽  
2006 ◽  
Vol 70 (1-2) ◽  
Author(s):  
Zsolt Bíró ◽  
László Szemethy ◽  
Krisztián Katona ◽  
Miklós Heltai ◽  
Zoltán Petö
Keyword(s):  
Red Deer ◽  
Population Distribution ◽  
Growth Period ◽  
Vegetation Growth ◽  
Site Density ◽  
Deer Density ◽  
Lowland Area ◽  
Agricultural Areas ◽  
Grassland Habitats ◽  
Agricultural Food

AbstractHabitat use by red deer (Gervus e/aphus L. 1758) in forest and grassland habitats is relatively well known; however, few studies have been carried out in forest-agriculture habitats. We conducted seasonal track and bed site counts to estimate annual changes in red deer density and describe annual habitat in a Hungarian lowland area between 1995 and 2000. We found that the entire red deer population grouped into the forest in winter, while its presence during the vegetation growth period (mainly in summer) increased in agricultural areas, when track and bed site density between these two areas were equal. Our results do not support the notion that forests are abandoned in summer for agricultural food resources of better quality. Likewise, water resource locations had no significant influence on the population distribution. We conclude that increasing population density could lead to an expansion of the area occupied by the population during the vegetation growth period, i.e., when agricultural areas can provide suitable conditions for red deer.

scholarly journals Probabilistic analytical modelling of predator–prey interactions in fishes

2019 ◽  
Vol 16 (150) ◽  
pp. 20180873 ◽  
Author(s):  
Brian A. Free ◽  
Matthew J. McHenry ◽  
Derek A. Paley
Keyword(s):  
Fundulus Heteroclitus ◽  
Analytical Modelling ◽  
Data Driven ◽  
Pomatomus Saltatrix ◽  
Predator Prey ◽  
First Case ◽  
Alternative Approach ◽  
Measured Probability ◽  
Pure Pursuit ◽  
Modelling Approach

Predation is a fundamental interaction between species, yet it is largely unclear what tactics are successful for the survival or capture of prey. One challenge in this area comes with how to test theoretical ideas about strategy with experimental measurements of features such as speed, flush distance and escape angles. Tactics may be articulated with an analytical model that predicts the motion of predator or prey as they interact. However, it may be difficult to recognize how the predictions of such models relate to behavioural measurements that are inherently variable. Here, we present an alternative approach for modelling predator–prey interactions that uses deterministic dynamics, yet incorporates experimental kinematic measurements of natural variation to predict the outcome of biological events. This technique, called probabilistic analytical modelling (PAM), is illustrated by the interactions between predator and prey fish in two case studies that draw on recent experiments. In the first case, we use PAM to model the tactics of predatory bluefish ( Pomatomus saltatrix ) as they prey upon smaller fish ( Fundulus heteroclitus ). We find that bluefish perform deviated pure pursuit with a variable pursuit angle that is suboptimal for the time to capture. In the second case, we model the escape tactics of zebrafish larvae ( Danio rerio ) when approached by adult predators of the same species. Our model successfully predicts the measured patterns of survivorship using measured probability density functions as parameters. As these results demonstrate, PAM is a data-driven modelling approach that can be predictive, offers analytical transparency, and does not require numerical simulations of system dynamics. Though predator–prey interactions demonstrate the use of this technique, PAM is not limited to studying biological systems and has broad utility that may be applied towards understanding a wide variety of natural and engineered dynamical systems where data-driven modelling is beneficial.

Landscape scale determinants of periglacial features in subarctic Finland: a grid-based modelling approach

2007 ◽  
Vol 18 (2) ◽  
pp. 115-127 ◽  
Author(s):  
Jan Hjort ◽  
Miska Luoto ◽  
Matti Seppälä
Keyword(s):  
Landscape Scale ◽  
Grid Based ◽  
Modelling Approach

Seasonal distribution of red deer (Cervus elaphus) in a forest-agriculture habitat in Hungary / Distribution saisonniere du cerf elaphe (Gervus elaphus) dans un habitat agro-forestier en Hongrie

Mammalia ◽  
2006 ◽  
Vol 70 (1-2) ◽  
Author(s):  
Zsolt Bíró ◽  
László Szemethy ◽  
Krisztián Katona ◽  
Miklós Heltai ◽  
Zoltán Petö
Keyword(s):  
Cervus Elaphus ◽  
Red Deer ◽  
Population Distribution ◽  
Growth Period ◽  
Vegetation Growth ◽  
Site Density ◽  
Deer Density ◽  
Lowland Area ◽  
Agricultural Areas ◽  
Grassland Habitats

AbstractHabitat use by red deer (Gervus elaphus L. 1758) in forest and grassland habitats is relatively well known; however, few studies have been carried out in forest-agriculture habitats. We conducted seasonal track and bed site counts to estimate annual changes in red deer density and describe annual habitat in a Hungarian lowland area between 1995 and 2000. We found that the entire red deer population grouped into the forest in winter, while its presence during the vegetation growth period (mainly in summer) increased in agricultural areas, when track and bed site density between these two areas were equal. Our results do not support the notion that forests are abandoned in summer for agricultural food resources of better quality. Likewise, water resource locations had no significant influence on the population distribution. We conclude that increasing population density could lead to an expansion of the area occupied by the population during the vegetation growth period, i.e., when agricultural areas can provide suitable conditions for red deer.

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