2004
DOI: 10.1007/s10646-003-4430-3
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Seasonal Variation in Plankton Community Responses of Mesocosms Dosed with Pentachlorophenol

Abstract: Seasonal variations in plankton community response to pentachlorophenol (PCP) were studied in four mesocosm experiments using enclosures in a small lake. The mesocosms (860 l) were dosed with single applications of technical grade PCP (0, 4, 10, 24, 36, 54, 81 and 121 microg/l PCP) and monitored for 20 days. Multivariate statistical analyses showed that plankton community taxonomic composition varied with season. In winter and spring, communities were most stable in time; species diversity and abundance were l… Show more

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Cited by 21 publications
(23 citation statements)
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“…At higher concentrations, recovery took more time in late summer. Similar observations have been reported for an enclosure experiment with pentachlorophenol (Willis et al 2004).…”
Section: Comparison With Other Studiessupporting
confidence: 88%
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“…At higher concentrations, recovery took more time in late summer. Similar observations have been reported for an enclosure experiment with pentachlorophenol (Willis et al 2004).…”
Section: Comparison With Other Studiessupporting
confidence: 88%
“…On the basis of outdoor model ecosystem experiments (Willis et al 2004; present study), it seems that exposure concentrations around threshold levels for direct effects observed in early-season studies are reasonably predictive for effects later in the season. Above these threshold concentrations, however, severity, duration, and type of direct as well as indirect effects may vary much more during different periods of the year because of seasonal variation in population densities, recovery potential, and food web interactions.…”
Section: Comparison With Other Studiesmentioning
confidence: 51%
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“…In these lake enclosure experiments (n = 4) the variability in ecological threshold concentration varied by approximately a factor of 2 (Willis et al, 2004). …”
Section: To E13 In Appendix E)mentioning
confidence: 97%
“…This general state space method has been extended by Godsill et al (2004) to the non-linear and non-Gaussian case, in which a Monte Carlo approach to smoothing was established, improving the overall ability to allow for more realistic distributions in the data. Other studies have examined the seasonal variation in taxonomic composition through cluster analysis based on nonmetric multidimensional scaling (Salmaso 1996) and also by a multivariate approach with principal response curves (Willis et al 2004). There is also interest in describing trends of plankton biomass (Li et al 2006).…”
Section: Introductionmentioning
confidence: 99%