Direct negative density-dependence in a pond-breeding frog population

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Standard

Direct negative density-dependence in a pond-breeding frog population. / Băncilă, Raluca I.; Ozgul, Arpat; Hartel, Tibor et al.
In: Ecography, Vol. 39, No. 5, 05.2016, p. 449-455.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

Băncilă, RI, Ozgul, A, Hartel, T, Sos, T & Schmidt, BR 2016, 'Direct negative density-dependence in a pond-breeding frog population', Ecography, vol. 39, no. 5, pp. 449-455. https://doi.org/10.1111/ecog.01584

APA

Băncilă, R. I., Ozgul, A., Hartel, T., Sos, T., & Schmidt, B. R. (2016). Direct negative density-dependence in a pond-breeding frog population. Ecography, 39(5), 449-455. https://doi.org/10.1111/ecog.01584

Vancouver

Băncilă RI, Ozgul A, Hartel T, Sos T, Schmidt BR. Direct negative density-dependence in a pond-breeding frog population. Ecography. 2016 May;39(5):449-455. doi: 10.1111/ecog.01584

Bibtex

@article{106d61a9573b4c0fa4e182cf6dd0d465,
title = "Direct negative density-dependence in a pond-breeding frog population",
abstract = "Understanding population dynamics is critical for the management of animal populations. Comparatively little is known about the relative importance of endogenous (i.e. density-dependent) and exogenous (i.e. density-independent) factors on the population dynamics of amphibians with complex life cycles. We examined the potential effects of density-dependent and -independent (i.e. climatic) factors on population dynamics by analyzing a 15-yr time series data of the agile frog Rana dalmatina population from T{\^a}rnava Mare Valley, Romania. We used two statistical models: 1) the partial rate correlation function to identify the feedback structure and the potential time lags in the time series data and 2) a Gompertz state-space model to simultaneously investigate direct and delayed density dependence as well as climatic effects on population growth rate. We found evidence for direct negative density dependence, whereas delayed density dependence and climate did not show a strong influence on population growth rate. Here we demonstrated that direct density dependence rather than delayed density dependence or climate determined the dynamics of our study population. Our results confirm the findings of many experimental studies and suggest that density dependence may buffer amphibian populations against environmental stress. Consequently, it may not be easy to scale up from individual-level effects to population-level effects.",
keywords = "Ecosystems Research",
author = "B{\u a}ncil{\u a}, {Raluca I.} and Arpat Ozgul and Tibor Hartel and Tibor Sos and Schmidt, {Benedikt R.}",
year = "2016",
month = may,
doi = "10.1111/ecog.01584",
language = "English",
volume = "39",
pages = "449--455",
journal = "Ecography",
issn = "0906-7590",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "5",

}

RIS

TY - JOUR

T1 - Direct negative density-dependence in a pond-breeding frog population

AU - Băncilă, Raluca I.

AU - Ozgul, Arpat

AU - Hartel, Tibor

AU - Sos, Tibor

AU - Schmidt, Benedikt R.

PY - 2016/5

Y1 - 2016/5

N2 - Understanding population dynamics is critical for the management of animal populations. Comparatively little is known about the relative importance of endogenous (i.e. density-dependent) and exogenous (i.e. density-independent) factors on the population dynamics of amphibians with complex life cycles. We examined the potential effects of density-dependent and -independent (i.e. climatic) factors on population dynamics by analyzing a 15-yr time series data of the agile frog Rana dalmatina population from Târnava Mare Valley, Romania. We used two statistical models: 1) the partial rate correlation function to identify the feedback structure and the potential time lags in the time series data and 2) a Gompertz state-space model to simultaneously investigate direct and delayed density dependence as well as climatic effects on population growth rate. We found evidence for direct negative density dependence, whereas delayed density dependence and climate did not show a strong influence on population growth rate. Here we demonstrated that direct density dependence rather than delayed density dependence or climate determined the dynamics of our study population. Our results confirm the findings of many experimental studies and suggest that density dependence may buffer amphibian populations against environmental stress. Consequently, it may not be easy to scale up from individual-level effects to population-level effects.

AB - Understanding population dynamics is critical for the management of animal populations. Comparatively little is known about the relative importance of endogenous (i.e. density-dependent) and exogenous (i.e. density-independent) factors on the population dynamics of amphibians with complex life cycles. We examined the potential effects of density-dependent and -independent (i.e. climatic) factors on population dynamics by analyzing a 15-yr time series data of the agile frog Rana dalmatina population from Târnava Mare Valley, Romania. We used two statistical models: 1) the partial rate correlation function to identify the feedback structure and the potential time lags in the time series data and 2) a Gompertz state-space model to simultaneously investigate direct and delayed density dependence as well as climatic effects on population growth rate. We found evidence for direct negative density dependence, whereas delayed density dependence and climate did not show a strong influence on population growth rate. Here we demonstrated that direct density dependence rather than delayed density dependence or climate determined the dynamics of our study population. Our results confirm the findings of many experimental studies and suggest that density dependence may buffer amphibian populations against environmental stress. Consequently, it may not be easy to scale up from individual-level effects to population-level effects.

KW - Ecosystems Research

UR - http://www.scopus.com/inward/record.url?scp=84937057281&partnerID=8YFLogxK

U2 - 10.1111/ecog.01584

DO - 10.1111/ecog.01584

M3 - Journal articles

AN - SCOPUS:84937057281

VL - 39

SP - 449

EP - 455

JO - Ecography

JF - Ecography

SN - 0906-7590

IS - 5

ER -

DOI