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{{More footnotes|date=July 2012}}
[[File:Jellyfish population trends by LME.jpg|thumb|275px|Map of population trends of native and invasive species of [[jellyfish]]<ref>{{cite journal|journal=Hydrobiologia|title=Increasing jellyfish populations: trends in Large Marine Ecosystems|year=2012|volume=688|url=http://www.springerlink.com/content/h2m74376448540r8/?MUD=MP|author=Brotz, Lucas; Cheung, William W. L.; Kleisner Kristin; Pakhomov, Evgeny; Pauly, Daniel}}</ref>
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{{legend|#F1A341|Increase (low certainty)}}
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'''Population dynamics''' is the branch of [[life sciences]] that studies short-term and long-term changes in the size and age composition of [[population]]s, and the [[biology|biological]] and [[environment (biophysical)|environmental]] processes influencing those changes. Population dynamics deals with the way populations are affected by [[birth rate|birth]] and [[death rate]]s, and by [[immigration]] and [[emigration]], and studies topics such as [[ageing population]]s or [[population decline]].


One common mathematical model for population dynamics is the exponential growth model.<ref name="sosmath">{{cite web |url=http://www.sosmath.com/diffeq/first/application/population/population.html |title=Population Dynamics |last1=Khamsi |first1=Mohamed Amine |last2= |first2= |date= |work= |publisher=Sosmath.com |accessdate=26 January 2013}}</ref> With the exponential model, the rate of change of any given population is proportional to the already existing population.<ref name="sosmath" />


== History ==
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Population dynamics has traditionally been the dominant branch of [[mathematical biology]], which has a history of more than 210 years, although more recently the scope of mathematical biology has greatly expanded. The first principle of population dynamics is widely regarded as the exponential law of [[Malthus]], as modeled by the [[Malthusian growth model]]. The early period was dominated by [[demography|demographic]] studies such as the work of [[Benjamin Gompertz]] and [[Pierre François Verhulst]] in the early 19th century, who refined and adjusted the Malthusian demographic model.
 
A more general model formulation was proposed by [[F.J. Richards]] in 1959, further expanded by [[Simon Hopkins]], in which the models of Gompertz, Verhulst and also [[Ludwig von Bertalanffy]] are covered as special cases of the general formulation.
The [[Lotka–Volterra equation|Lotka–Volterra predator-prey equations]] are another famous example, as well as the alternative [[Arditi-Ginzburg equations]]. The [[computer game]] ''[[SimCity (1989 video game)|SimCity]]'' and the [[MMORPG]] [[Ultima Online]], among others, tried to [[computer simulation|simulate]] some of these population dynamics.
 
In the past 30 years, population dynamics has been complemented by [[evolutionary game theory]], developed first by [[John Maynard Smith]]. Under these dynamics, evolutionary biology concepts may take a deterministic mathematical form. Population dynamics overlap with another active area of research in mathematical biology: [[Mathematical modelling in epidemiology|mathematical epidemiology]], the study of infectious disease affecting populations. Various models of viral spread have been proposed and analyzed, and provide important results that may be applied to health policy decisions.
 
== Fisheries and wildlife management ==
{{see also|Population dynamics of fisheries|Matrix population models}}
In [[fisheries]] and [[wildlife management]], population is affected by three dynamic rate functions.
 
*Natality or [[birth rate]], often recruitment, which means reaching a certain size or reproductive stage. Usually refers to the age a fish can be caught and counted in nets
*[[Population growth rate]], which measures the growth of individuals in size and length. More important in fisheries, where population is often measured in biomass.
*[[Mortality rate|Mortality]], which includes harvest mortality and natural mortality. Natural mortality includes non-human predation, disease and old age.
 
If N<sub>1</sub> is the number of individuals at time 1 then
::::N<sub>1</sub> = N<sub>0</sub> + B - D + I - E
where N<sub>0</sub> is the number of individuals at time 0, B is the number of individuals born, D the number that died, I the number that immigrated, and E the number that emigrated between time 0 and time 1.
 
If we measure these rates over many time intervals, we can determine how a population's density changes over time. Immigration and emigration are present, but are usually not measured.
 
All of these are measured to determine the harvestable surplus, which is the number of individuals that can be harvested from a population without affecting long term stability, or average population size. The harvest within the harvestable surplus is considered compensatory mortality, where the harvest deaths are substituting for the deaths that would occur naturally.  It started in Europe.   Harvest beyond that is additive mortality, harvest in addition to all the animals that would have died naturally. These terms are not the universal good and evil of population management, for example, in deer, the DNR are trying to reduce deer population size overall to an extent, since hunters have reduced buck competition and increased deer population unnaturally.
 
== Intrinsic rate of increase ==
The rate at which a population increases in size if there are no density-dependent forces regulating the population is known as the ''intrinsic rate of increase''.
 
<math>\dfrac{dN}{dt} \dfrac{1}{N} = r</math>
 
Where (dN/dt) is the rate of increase of the population and N is the population size, r is the intrinsic rate of increase. This is therefore the theoretical maximum rate of increase of a population per individual .
The concept is commonly used in insect population biology to determine how environmental factors affect the rate at which pest populations increase.  See also exponential population growth and logistic population growth.<ref>Jahn, GC, LP Almazan, and J Pacia. 2005. Effect of nitrogen fertilizer on the intrinsic rate of increase of the rusty plum aphid, ''Hysteroneura setariae'' (Thomas) (Homoptera: Aphididae) on rice (''Oryza sativa'' L.). Environmental Entomology 34 (4): 938-943. [http://docserver.esa.catchword.org/deliver/cw/pdf/esa/freepdfs/0046225x/v34n4s26.pdf]</ref>
 
== See also ==
{{div col|3}}
* [[Minimum viable population]]
* [[Maximum sustainable yield]]
* [[Nicholson-Bailey model]]
* [[Nurgaliev's law]]
*[[Overshoot (population)]]
* [[Population cycle]]
* [[Population ecology]]
* [[Population genetics]]
* [[Population modeling]]
* [[Ricker model]]
* [[Sigmoid curve]]
* [[Societal collapse]]
* [[System dynamics]]
{{div col end}}
 
== Notes ==
{{reflist}}
 
==References==
* Introduction to Social Macrodynamics: Compact Macromodels of the World System Growth by [[Andrey Korotayev]], Artemy Malkov, and Daria Khaltourina. ISBN 5-484-00414-4
* [[Peter Turchin|Turchin, P.]] 2003. Complex Population Dynamics: a Theoretical/Empirical Synthesis. Princeton, NJ: Princeton University Press.
* Weiss, V. 2007. The population cycle drives human history - from a eugenic phase into a dysgenic phase and eventual collapse. The Journal of Social, Political and Economic Studies 32: 327-358 [http://www.jspes.org/fall2007_weiss.html]
 
== External links ==
* [http://iugo-cafe.org/greenboxes  GreenBoxes code sharing network].  Greenboxes (Beta) is a repository for open-source population modelling and PVA code. Greenboxes allows users an easy way to share their code and to search for others shared code.
* [http://www.thomas-brey.de/science/virtualhandbook The Virtual Handbook on Population Dynamics]. An online compilation of state-ot-the-art basic tools for the analysis of population dynamics with emphasis on benthic invertebrates.
* [http://www.futureskill.com Creatures!] High School interactive simulation program that implements an agent based simulation of grass, rabbits and foxes.
 
[[Category:Demography]]
[[Category:Fisheries science]]
[[Category:Population]]
[[Category:Population ecology]]
[[Category:Sociodynamics]]

Latest revision as of 12:51, 3 July 2014


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