Title |
Establishment probability in newly founded populations
|
---|---|
Published in |
BMC Research Notes, June 2012
|
DOI | 10.1186/1756-0500-5-313 |
Pubmed ID | |
Authors |
Markus Gusset, Michael S Müller, Volker Grimm |
Abstract |
Establishment success in newly founded populations relies on reaching the established phase, which is defined by characteristic fluctuations of the population's state variables. Stochastic population models can be used to quantify the establishment probability of newly founded populations; however, so far no simple but robust method for doing so existed. To determine a critical initial number of individuals that need to be released to reach the established phase, we used a novel application of the "Wissel plot", where -ln(1 - P0(t)) is plotted against time t. This plot is based on the equation P(0)t=1-c(1)e(-ω(1t)), which relates the probability of extinction by time t, P(0)(t), to two constants: c(1) describes the probability of a newly founded population to reach the established phase, whereas ω(1) describes the population's probability of extinction per short time interval once established. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Brazil | 2 | 2% |
Portugal | 1 | <1% |
Turkey | 1 | <1% |
United Arab Emirates | 1 | <1% |
Colombia | 1 | <1% |
India | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 91 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 26% |
Student > Master | 17 | 17% |
Student > Ph. D. Student | 12 | 12% |
Other | 10 | 10% |
Student > Bachelor | 8 | 8% |
Other | 17 | 17% |
Unknown | 12 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 65 | 63% |
Environmental Science | 18 | 17% |
Earth and Planetary Sciences | 2 | 2% |
Social Sciences | 1 | <1% |
Medicine and Dentistry | 1 | <1% |
Other | 0 | 0% |
Unknown | 16 | 16% |