Population Dynamics in Daphnia obtusa Kurz

Slobodkin, Lawrence B.

doi:10.2307/1943511

Cited by 211 publications

(129 citation statements)

References 39 publications

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“…In both these instances the females without parthenogenetic eggs were mature; their non-reproductive state was apparently due to an inability to collect sufficient food resources to enable egg production. The direct relationship between food availability and brood size in Daphnia has been documented on many occasions (Slobodkin, 1954;Hall, 1964). Values corrected for non-randomly selected reproductives.…”

Section: Resultsmentioning

confidence: 99%

“…Yet experimental studies of factors affecting sexual egg production (Stross and Hill, 1965;Stross, 1966) and parthenogenetic egg production (Slobodkin, 1954;Green, 1954;Frank, Boll and Kelly, 1957) have concentrated entirely on the latter, the work having been carried out on genetically uniform clones. Moreover, these sorts of studies have been widely used to interpret observations made on natural populations (Slobodkin, 1954;Hall, 1964;Dodson, 1972). …”

Section: Dxscussiormentioning

confidence: 99%

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Enzyme variability in natural populations of Daphnia magna

Hebert

Ward

1976

Heredity

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SUMMARYGenotypic frequencies were analysed for two years in a permanent population of the cladoceran crustacean, Daphnia magna, which was polymorphic for an esterase and for malate dehydrogenase. Large temporal changes in genotypic frequencies occurred at both loci. There was no evidence of a seasonal pattern in the frequency changes. In most samples, genotypes at the two enzyme loci were non-randomly associated; these associations showed temporal changes. On some occasions marked spatial heterogeneity in genotypic frequencies existed within the population. Genotypic differences in parthenogenetic and sexual egg production were observed. In a primarily parthenogenetically reproducing population, non-random associations between genotypes at structural and regulatory loci will be the rule. The allozyme variants themselves may or may not be under selection. The relevance of these observations to ecological studies on Daphnia is considered.

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Section: Resultsmentioning

confidence: 99%

Section: Dxscussiormentioning

confidence: 99%

Enzyme variability in natural populations of Daphnia magna

Hebert

Ward

1976

Heredity

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“…We use a physiologically structured population model of Daphnia to simulate Daphnia spring dynamics in response to temperature, food dynamics, overwinter biomass and Daphnia mortality. A structured population model with a dynamic age-and size-structure (physiologically structured population models, De Roos and Persson 2001) is employed because demographic effects can play a major role in cladoceran population dynamics (Hülsmann and Weiler 2000;Slobodkin 1954).…”

Section: Introductionmentioning

confidence: 99%

Temperature is the key factor explaining interannual variability of Daphnia development in spring: a modelling study

et al. 2008

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Plankton succession during spring/early summer in temperate lakes is characterised by a highly predictable pattern: a phytoplankton bloom is grazed down by zooplankton (Daphnia) inducing a clear-water phase. This sequence of events is commonly understood as a cycle of consumer-resource dynamics, i.e. zooplankton growth is driven by food availability. Here we suggest, using a modelling study based on a size-structured Daphnia population model, that temperature and not food is the dominant factor driving interannual variability of Daphnia population dynamics during spring. Simply forcing this model with a seasonal temperature regime typical for temperate lakes is sufficient for generating the distinctive seasonal trajectory of Daphnia abundances observed in meso-eutrophic temperate lakes. According to a scenario analysis, a forward shift of the vernal temperature increase by 60 days will advance the timing of the Daphnia maximum on average by 54 days, while a forward shift in the start of the spring bloom by 60 days will advance the Daphnia maximum only by less than a third (17 days). Hence, the timing of temperature increase was more important for the timing of Daphnia development than the timing of the onset of algal growth. The effect of temperature is also large compared to the effect of applying different Daphnia mortality rates (0.055 or 0.1 day -1 , 38 days), an almost tenfold variation in phytoplankton carrying capacity (25 days) and a tenfold variation in Daphnia overwintering abundance (3 days). However, the standing stock of Daphnia at its peak was almost exclusively controlled by the phytoplankton carrying capacity of the habitat and seems to be essentially independent of temperature. Hence, whereas food availability determines the standing stock of Daphnia at its spring maximum, temperature appears to be the most important factor driving the timing of the Daphnia maximum and the clear-water phase in spring.

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“…Moreover, evidence from behavioral interactions is potentially of great theoretical interest since the utilization of some form of social organization to aid environmental exploitation and the development of complex behavior patterns to mediate population interactions are fundamental features of vertebrate evolution. The simple interaction of a population with its food supply as found in Daphnia, for example (Slobodkin, 1954), does not exist among birds and mammals. Moreover, it EVOLUTION 17: 449-459.…”

mentioning

confidence: 99%