Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1002/ece3.6926
Licence creative commons licence
Title (Primary) gauseR: Simple methods for fitting Lotka-Volterra models describing Gause's "Struggle for Existence"
Author Mühlbauer, L.K.; Schulze, M.; Harpole, W.S. ORCID logo ; Clark, A.T.
Source Titel Ecology and Evolution
Year 2020
Department iDiv; PHYDIV
Volume 10
Issue 23
Page From 13275
Page To 13283
Language englisch
Data and Software links
Keywords competition; differential equation; growth rate; logistic growth; optimization; predator‐prey

Point 1: The ecological models of Alfred J. Lotka and Vito Volterra have had an enormous impact on ecology over the past century. Some of the earliest—and clearest—experimental tests of these models were famously conducted by Georgy Gause in the 1930s. Although well known, the data from these experiments are not widely available and are often difficult to analyze using standard statistical and computational tools.

Point 2: Here, we introduce the gauseR package, a collection of tools for fitting Lotka‐Volterra models to time series data of one or more species. The package includes several methods for parameter estimation and optimization, and includes 42 datasets from Gause's species interaction experiments and related work. Additionally, we include with this paper a short blog post discussing the historical importance of these data and models, and an R vignette with a walk‐through introducing the package methods. The package is available for download at

Point 3: To demonstrate the package, we apply it to several classic experimental studies from Gause, as well as two other well‐known datasets on multi‐trophic dynamics on Isle Royale, and in spatially structured mite populations. In almost all cases, models fit observations closely and fitted parameter values make ecological sense.

Point 4: Taken together, we hope that the methods, data, and analyses that we present here provide a simple and user‐friendly way to interact with complex ecological data. We are optimistic that these methods will be especially useful to students and educators who are studying ecological dynamics, as well as researchers who would like a fast tool for basic analyses.

Persistent UFZ Identifier
Mühlbauer, L.K., Schulze, M., Harpole, W.S., Clark, A.T. (2020):
gauseR: Simple methods for fitting Lotka-Volterra models describing Gause's "Struggle for Existence"
Ecol. Evol. 10 (23), 13275 - 13283 10.1002/ece3.6926