gause_1934_book_f04

A dataset containing the growth in abundance of Paramecium caudatum over six days.

datasets

A collection of tools and data for analyzing the Gause microcosm experiments, and for fitting Lotka-Volterra models to time series data. Includes methods for fitting single-species logistic growth, and multi-species interaction models, e.g. of competition, predator/prey relationships, or mutualism. See documentation for individual functions for examples. In general, see the lv_optim() function for examples of how to fit parameter values in multi-species systems. Note that the general methods applied here, as well as the form of the differential equations that we use, are described in detail in the Quantitative Ecology textbook by Lehman et al., available at <http://hdl.handle.net/11299/204551>, and in Lina K. Mühlbauer, Maximilienne Schulze, W. Stanley Harpole, and Adam T. Clark. 'gauseR': Simple methods for fitting Lotka-Volterra models describing Gause's 'Struggle for Existence' in the journal Ecology and Evolution.

Adam Clark

gauseR

Lotka-Volterra Models for Gause's 'Struggle for Existence'

Lina Mühlbauer

Maximilienne Schulze

gause_1934_book_f04 function

A data frame with 8 rows and 5 variables:<dl>
 <dt>Paper</dt>
<dd>Paper from which data are drawn</dd> <dt>Figure</dt>
<dd>Figure number in paper</dd> <dt>Species</dt>
<dd>Name of Species: Paramecium caudatum</dd> <dt>Time</dt>
<dd>Day of experiment</dd> <dt>Individuals</dt>
<dd>Number of Individuals</dd>
</dl>

Format

Growth of Paramecium caudatum — gause_1934_book_f04

A data frame with 8 rows and 5 variables:<dl>
 <dt>Paper</dt>
<dd>Paper from which data are drawn</dd>

 <dt>Figure</dt>
<dd>Figure number in paper</dd>

 <dt>Species</dt>
<dd>Name of Species: Paramecium caudatum</dd>

 <dt>Time</dt>
<dd>Day of experiment</dd>

 <dt>Individuals</dt>
<dd>Number of Individuals</dd>


</dl>

gause_1934_book_f04: Growth of Paramecium caudatum

Description

Usage

Arguments

Format