Literature DB >> 25398723

Mechanisms of density dependence in ducks: importance of space and per capita food.

Petri Nummi1, Sari Holopainen2, Jukka Rintala3, Hannu Pöysä4.   

Abstract

The growth rate of populations usually varies over time, often in a density-dependent manner. Despite the large amount of literature on density dependence, relatively little is known of the mechanisms underlying the density-dependent processes affecting populations, especially per capita natality. We performed a 20-year study on the density dependence of brood production in two duck species differing in the stability of habitat use. Our study was conducted in a boreal watershed in southern Finland. We predicted that a diving duck common goldeneye Bucephala clangula, with more stable habitat use, would show stronger density dependence than a dabbling duck common teal Anas crecca. We investigated reproductive output in relation to the duck pair density per se as well as in relation to per capita food availability. As predicted, the reproductive output of the goldeneye showed a more density-dependent pattern than that of the teal. The number of goldeneye broods per pair decreased when the pair density increased. This was not the case with the teal. However, when the breeding success was measured by taking into account per capita food availability, both species showed density dependence. Our results imply that the occurrence of density dependent processes may vary even in sympatric ducks breeding in the same, relatively stable landscape. Our analysis also emphasizes that it is important to take into account per capita resource availability when studying the density dependence of breeding success. Both findings have important implications for the management and conservation of species.

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Year:  2014        PMID: 25398723     DOI: 10.1007/s00442-014-3133-1

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  14 in total

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3.  On the regulation of populations of mammals, birds, fish, and insects.

Authors:  Richard M Sibly; Daniel Barker; Michael C Denham; Jim Hone; Mark Pagel
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4.  Strength of evidence for density dependence in abundance time series of 1198 species.

Authors:  Barry W Brook; Corey J A Bradshaw
Journal:  Ecology       Date:  2006-06       Impact factor: 5.499

5.  Similarity indices, sample size and diversity.

Authors:  Henk Wolda
Journal:  Oecologia       Date:  1981-09       Impact factor: 3.225

6.  Experimental evidence for density-dependent survival in mallard (Anas platyrhynchos) ducklings.

Authors:  Gunnar Gunnarsson; Johan Elmberg; Kjell Sjöberg; Hannu Pöysä; Petri Nummi
Journal:  Oecologia       Date:  2006-05-31       Impact factor: 3.225

7.  Demographic response to perturbations: the role of compensatory density dependence in a North American duck under variable harvest regulations and changing habitat.

Authors:  Guillaume Péron; Christopher A Nicolai; David N Koons
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8.  Population dynamics of two sympatric rodents in a variable environment: rainfall, resource availability, and predation.

Authors:  M Andrea Previtali; Mauricio Lima; Peter L Meserve; Douglas A Kelt; Julio R Gutiérrez
Journal:  Ecology       Date:  2009-07       Impact factor: 5.499

9.  Geographical gradients in the population dynamics of North American prairie ducks.

Authors:  Bernt-Erik Saether; Magnar Lillegård; Vidar Grøtan; Mark C Drever; Steinar Engen; Thomas D Nudds; Kevin M Podruzny
Journal:  J Anim Ecol       Date:  2008-07-08       Impact factor: 5.091

10.  Strength of density feedback in census data increases from slow to fast life histories.

Authors:  Salvador Herrando-Pérez; Steven Delean; Barry W Brook; Corey J A Bradshaw
Journal:  Ecol Evol       Date:  2012-07-12       Impact factor: 2.912

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  1 in total

1.  Environmental variability and population dynamics: do European and North American ducks play by the same rules?

Authors:  Hannu Pöysä; Jukka Rintala; Douglas H Johnson; Jukka Kauppinen; Esa Lammi; Thomas D Nudds; Veli-Matti Väänänen
Journal:  Ecol Evol       Date:  2016-09-09       Impact factor: 2.912

  1 in total

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