Document Detail


Population dynamics and regulation in the cave salamander Speleomantes strinatii.
MedLine Citation:
PMID:  17216185     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Time series analysis has been used to evaluate the mechanisms regulating population dynamics of mammals and insects, but has been rarely applied to amphibian populations. In this study, the influence of endogenous (density-dependent) and exogenous (density-independent) factors regulating population dynamics of the terrestrial plethodontid salamander Speleomantes strinatii was analysed by means of time series and multiple regression analyses. During the period 1993-2005, S. strinatii population abundance, estimated by a standardised temporary removal method, displayed relatively low fluctuations, and the autocorrelation function (ACF) analysis showed that the time series had a noncyclic structure. The partial rate correlation function (PRCF) indicated that a strong first-order negative feedback dominated the endogenous dynamics. Stepwise multiple regression analysis showed that the only climatic factor influencing population growth rate was the minimum winter temperature. Thus, at least during the study period, endogenous, density-dependent negative feedback was the main factor affecting the growth rate of the salamander population, whereas stochastic environmental variables, such as temperature and rainfall, seemed to play a minor role in regulation. These results stress the importance of considering both exogenous and endogenous factors when analysing amphibian long-term population dynamics.
Authors:
Sebastiano Salvidio
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Publication Detail:
Type:  Journal Article     Date:  2007-01-10
Journal Detail:
Title:  Die Naturwissenschaften     Volume:  94     ISSN:  0028-1042     ISO Abbreviation:  Naturwissenschaften     Publication Date:  2007 May 
Date Detail:
Created Date:  2007-04-19     Completed Date:  2007-09-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0400767     Medline TA:  Naturwissenschaften     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  396-400     Citation Subset:  IM    
Affiliation:
DIPTERIS, Università di Genova, Corso Europa 26, Genova, Italy. salvidio@dipteris.unige.it
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MeSH Terms
Descriptor/Qualifier:
Animals
Body Size
Ecosystem
Population Density
Population Dynamics
Regression Analysis
Urodela / anatomy & histology,  physiology*

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