By Kylie A. Pitt, Jennifer E. Purcell
Jellyfish shape fabulous inhabitants blooms and there's compelling facts that jellyfish blooms have gotten extra common and common. Blooms have huge, immense ecological, monetary, and social affects. for instance, they've been implicated within the decline of industrial fisheries, they block the cooling water intakes of coastal industries and ships, and decrease the amenity of coastal waters for travelers. Blooms could be as a result of overfishing, weather swap, and coastal pollutants, which all have an effect on coastal waters world wide. Jellyfish Blooms: explanations, outcomes and up to date Advances provides studies and unique learn articles written by way of the world’s major specialists on jellyfish. subject matters coated comprise the evolution of jellyfish blooms, the affects of weather switch on jellyfish populations, advances in acoustic and molecular tools used to review jellyfish, the function of jellyfish in foodstuff webs and nutrient cycles, and the ecology of the benthic phases of the jellyfish lifestyles heritage. it is a useful source for college students marine biologists, fisheries scientists, oceanographers, and researchers of weather switch.
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Additional resources for Jellyfish Blooms: Causes, Consequences and Recent Advances (Developments in Hydrobiology)
Example text
9 202 200 or 212 Mesh (lm) Purcell (unpublished) Decker et al. (2004) Kremer & Reeve (1989) Purcell (2003) Suchman et al. (2008) Purcell (1992) Lo & Chen (2008) Dawson & Martin (2001) Uye & Shimauchi (2005) Lucas (unpublished) Suchman et al. (2008) Purcell (2003) Original reference Ratios of measured feeding rates or clearance rates to those calculated from the local regressions (for Aurelia aurita) or species regressions (for species other than A. aurita). Abbreviations are as in Table 1. PRESS Statistic indicates how well regression predicts new data, with small values being best.
3) to some extent. WW was more important in determining FR than PD for C. quinquecirrha but similar for FR of C. capillata. When Chrysaora quinquecirrha and Cyanea capillata FR data were combined with the Aurelia spp. data, the variables were all correlated, except that FR of scyphomedusae combined was not correlated with PD (Table 1). 001; Table 2). Removal of T from the predictive regression eliminated multicollinearity and a failed constant variance assumption. Fig. 2 Feeding rates (log10 number of copepods ?
051 WWUK vs. 062 PDUK vs. 84 9 10-19 FRISJ vs. 02 9 10-8 FRISJ vs. 001 WWISJ vs. 90 9 10-5 PDISJ vs. 15 9 10-6 FRNLK vs. 75 9 10-28 FRNLK vs. 131 WWNLK vs. 862 FRAUR vs. 435 FRAUR vs. 001 WWAUR vs. 101 WWAUR vs. 70 9 10-11 PDAUR vs. 92 9 10-20 FRAUR vs. 109 FRPWS vs. WWPWS FRISJ vs. 14 9 10-9 FRCHR vs. WWCHR P WWISJ vs. 178 FRSCY vs. PDSCY Table 1 Pearson product moment correlations of medusa wet weight (WW), prey density (PD), and temperature (T) with the feeding rate (FR; numbers of copepods eaten medusa-1 d-1) P WWCYA vs.