Math. Model. Nat. Phenom.
Volume 2, Number 4, 2007Patterns and waves in ecology and evolution
|Page(s)||46 - 62|
|Published online||15 June 2008|
Limitation and Regulation of Ecological Populations: a Meta-analysis of Tipula paludosa Field Data
School of Biological Sciences, University of Plymouth
Drake Circus, Plymouth, PL4 8AA, UK
2 Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK
Corresponding author: firstname.lastname@example.org
Whether the size of an animal population is environmentally limited or regulated by density dependent negative feedback mechanisms is of ecological interest. Proponents of limitation theory have issued a set of specific challenges which are addressed in this paper using field data for the insect Tipula paludosa. This species is known to be subject to population crashes caused by adverse environmental conditions and assumed to be limited. We re-examine published data in support of this hypothesis and show that there is also evidence of negative feedback between generations. Meta-analyses of annual count data from individual fields, and regional surveys provide further evidence of negative feedback and it is concluded that population regulation occurs at both local and regional scales. Evidence from other studies is used to propose that cannibalism is the causative mechanism. Since similar negative feedback responses were apparent under both normal and environmentally limiting conditions when populations crash, a single population model that could simulate the differing regional dynamics observed from the annual surveys was produced. We conclude that the range of annual fluctuations observed in T. paludosa populations is the outcome of both limiting and regulating processes, confirming from field observations that these are not exclusive mechanisms.
Mathematics Subject Classification: 92D25 / 92D40
Key words: Tipula paludosa / population limitation / population regulation / population crash / cannibalism / time-discrete model
© EDP Sciences, 2007
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.