Ad
related to: factors affecting population dynamics pdf
Search results
Results From The WOW.Com Content Network
Population dynamics overlap with another active area of research in mathematical biology: mathematical epidemiology, the study of infectious disease affecting populations. Various models of viral spread have been proposed and analysed, and provide important results that may be applied to health policy decisions.
The first principle of population dynamics is widely regarded as the exponential law of Malthus, as modelled by the Malthusian growth model.The early period was dominated by 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.
The population dynamics of pest insects is a subject of interest to farmers, agricultural economists, ecologists, and those concerned with animal welfare. Factors affecting populations [ edit ]
Natality in population ecology is the scientific term for birth rate. Along with mortality rate, natality rate is used to calculate the dynamics of a population. They are the key factors in determining whether a population is increasing, decreasing or staying the same in size. Natality is the greatest influence on a population's increase.
PVA is also used to identify factors that drive population dynamics, compare proposed management options and assess existing recovery efforts. [2] PVA is frequently used in endangered species management to develop a plan of action, rank the pros and cons of different management scenarios, and assess the potential impacts of habitat loss. [3]
The development of population ecology owes much to the mathematical models known as population dynamics, which were originally formulae derived from demography at the end of the 18th and beginning of 19th century. [8] The beginning of population dynamics is widely regarded as the work of Malthus, [9] formulated as the Malthusian growth model.
Ecologists have been unable to successfully explain regular population cycles for many decades; delayed density dependence may hold the answer. [2] Here populations are allowed to increase above their normal capacity because there is a time lag until negative feedback mechanisms bring the population back down.
It focuses on how populations are distributed across space, the factors influencing these distributions, and the implications for resources, environment, and societal development. This branch of geography integrates demographic data with spatial analysis to understand patterns such as population density, urbanization, and migration trends.