In defence of the Cell Quota model of micro-algal growth

When proper statistical procedures were employed, the empiricalCell Quota model of Droop (J. Mar. Biol. Assoc. UK, 48, 689–733,1968; J. Phycol., 9, 264–272, 1973) proved a better fitto 20 out of 21 data sets (of conserved nutrients) than didthe power law-based Chemical Reaction model of Baird (J. PlanktonRes., 21, 85–126, 1999).     

The role of higher predation in plankton population models

Zooplankton mortality in plankton population models is oftenrepresented by the so-called closure term. Recently, much attentionhas been paid to the choice of functional form used for theclosure term, primarily due to the influential paper by Steeleand Henderson (J. Plankton Res., 14, 157–172, 1992). Herewe reveal an inconsistency in the normalization of Steele andHenderson's models, and show that unforced short-term oscillations(limit cycles) can occur when a quadratic closure term is used.Furthermore, we contradict the hypothesis regarding the relationshipbetween nutrient steady-state values and the choice of closureterm: using the seven-component plankton model of Fasham (TheGlobal Carbon Cycle, Heimann,M. (ed.), pp. 457–504, 1993)with four alternative closure terms, we find the nutrient valueto depend more upon the choice of parameter values than on thechoice of closure term. However, our results agree with andstrengthen the general conclusion of Steele and Henderson'swork: that the choice of closure term can strongly influencethe dynamics of models.     

Modelling the interacting effects of nutrient uptake, light capture and temperature on phytoplankton growth

A model of phytoplankton growth developed by analogy with chemicalkinetics (CR model) in Baird and Emsley (J. Plankton Res., 21,85–126, 1999) is explored further. The CR model parameterizesall biochemical reactions involved in phytoplankton growth byone parameter: the maximum growth rate. Phytoplankton growthrate is then calculated from an interaction of the maximum growthrate, and the physical limit to extracellular nutrient uptakerates and light capture. In this paper, the CR model was re-derived,with two corrections and a number of modifications to increaseits generality. During derivation, the model's behaviour wascompared with chemostat cultures at a variety of dilution rates,nutrient inputs and temperatures. Model output was then plottedagainst observations of a semi-continuous culture of Isochrysisgalbana. Finally, the CR model was used to predict the growthrate of phytoplankton communities extracted from two temperatelakes under varying nutrient, light and temperature regimes.The CR model explained 37% of the variability of phytoplanktongrowth rate in cultures at environmental conditions similarto those of the lakes, compared with 25% explained by a non-linearbest fit to 324 growth experiments. The following paper in thisissue develops the CR model further, using it to predict stablecarbon isotope fractionation.     

Development of Acartia bifilosa (Copepoda: Calanoida) eggs in the northern Baltic Sea with specialreference to dormancy

Development of eggs produced by Acartia bifilosa in summer andautumn was studied in the northern Baltic Sea. Resting eggsof the species have previously been found in sediments, andthe aim of this study was to reveal the type of dormancy inthe eggs. Eggs were incubated at temperatures ranging from 1.5to 18°C. The effect of continuous darkness on hatching wasalso tested. Hatching success in the experiments varied between56 and 97%. Egg development was similar in summer and autumn,indicating that A. bifilosa does not produce diapause eggs inthe area. Furthermore, dormancy was not induced at any of thetemperatures tested, nor by darkness. Results are compared withthose of Castro-Longoria and Williams (Castro-Longoria and Williams,1999b, J. Plankton Res., 21, 65–84) who studied A. bifilosain the English Channel, where both production of diapause eggsand arrest of development in the subitaneous eggs at low temperaturesoccurred. The possible causes of the difference in dormancystrategies in the two areas are discussed.     

Modelling the population dynamics of the toxic dinoflagellate Alexandrium tamarense in Hiroshima Bay, Japan. II. Sensitivity to physical and biological parameters

Using the numerical model developed in a previous paper [Yamamotoet al. (2002c) J. Plankton Res., 24, 33–47], the sensitivityof population dynamics of Alexandrium tamarense to physicaland biological parameters was analysed. Horizontal and verticaldiffusions led to the dispersion of dense A. tamarense populationsin the surface layer of the innermost portion of the bay. Temperatureand salinity influenced the timing of the A. tamarense bloomdue to its stenothermal and stenohaline characteristics. Althoughincreasing the light intensity caused the bloom of A. tamarenseto begin earlier, it lowered the cell density at the bloom peakas a result of phosphate depletion in the ambient water. Bothincreasing the cyst density and the excystment rate had littleinfluence on the population dynamics of A. tamarense vegetativecells. Increasing the phosphate concentration led to increasesin cell density of A. tamarense, indicating that growth is phosphate-limited.Oysters, which are cultured intensively in this bay, appearto stimulate the bloom of A. tamarense through the regenerationof phosphorus from their faeces/pseudofaeces. The phosphorusreduction measure that has been taken since 1980 and the recentconstruction of a large dam are discussed as important factorsthat may influence the population dynamics of A. tamarense.     

Tintinnids and other microzooplankton--seasonal distributions and relationships to resources and hydrography in a Maine estuary

Journal of Plankton Research, 9, 65–77, 1987. In Table II on page 70 the number of Tintinnopsis minuta foundat 0 m depth on 15 September 1981 should be 1200.     

Effect of a waveband shift on chlorophyll retrieval from MERIS imagery of inland and coastal waters

A chlorophyll-retrieval algorithm for use with imagery fromthe Medium Resolution Imaging Spectrometer (MERIS) aboard ENVISATrelying on wavebands centred at 665, 705 and 775 nm was describedin a previous paper (Gons et al. 2002, J. Plankton Res., 24,947–951). The present study reexamined the performancefor the current nominal setting to 708.75 nm of the previouslyenvisaged 705 nm band. Validation of the algorithm with revisedcoefficients gave the same standard error of estimate for theinland and coastal waters as in the original work. The algorithmhas been transcribed for direct application with the MERIS level-2standard product ‘water-leaving reflectance’. Bythis correction, chlorophyll estimation will generally improve,especially for high concentrations.     

Influence of the 3'-UTR-length of mKIAA cDNAs and their Sequence Features to the mRNA Expression Level in the Brain

We have previously described the sequence features of 1500 mouseKIAA (mKIAA) genes in comparison with those of human KIAA genes(Okazaki, N., Kikuno, R., Inamoto, S., Hara, Y., Nagase, T.,Ohara, O., and Koga, H. 2002, DNA Res., 9, 179–188; Okazaki,N., Kikuno, R., Ohara, R., Inamoto, S., Aizawa, H., Yuasa, S.,Nakajima, D., Nagase, T., Ohara, O., and Koga, H. 2003, DNARes., 10, 35–48; Okazaki, N., Kikuno, R., Ohara, R., Inamoto,S., Koseki, H., Hiraoka, S., Saga, Y., Nagase, T., Ohara, O.,and Koga, H. 2003, DNA Res., 10, 167–180; and Okazaki,N., F-Kikuno, R., Ohara, R., Inamoto, S., Koseki, H., Hiraoka,S., Saga, Y., Seino, S., Nishimura, M., Kaisho, T., Hoshino,K., Kitamura, H., Nagase, T., Ohara, O., and Koga, H. 2004,DNA Res., 11, 205–218). To validate the orthologous relationshipbetween mKIAA and KIAA genes in detail, we examined their chromosomalpositions and evolutionary rate of synonymous substitutionsand confirmed that >93% of the mKIAA/KIAA gene pairs areorthologous. During the sequence analysis of mKIAA genes, wefound that 3'-untranslated region (3'-UTR) lengths of mKIAAand KIAA genes are extremely long. In the meanwhile, we havealso examined the tissue-specific expression of 1700 mKIAA genesusing cDNA microarray and verified predominantly their expressionin adult brain (Koga, H., Yuasa, S., Nagase, T., Shimada, K.,Nagano, M., Imai, K., Ohara, R., Nakajima, D., Murakami, M.,Kawai, M., Miki, F., Magae, J., Inamoto, S., Okazaki, N., Ohara,O. 2004, DNA Res., 11, 293–304). To connect these twoevidences, we statistically analysed the relationship betweenthem by using the mKIAA genes. Consequently, a positive correlationwas observed between the 3'-UTR lengths and the relative expressionintensities in adult brain. Furthermore, we searched sequenceelements in the 3'-UTR possibly related with their expressionand found some candidates regarding the brain-specific expression.     

Distribution pattern of decapod larvae off the north-western Iberian Peninsula coast (NE Atlantic)

In October 1977 the model of general circulation of the watermasses off the coast of Galicia, and the presence of a coastalupwelling, led to a high primary productivity. This high productivityin turn favoured the development of a rich population of decapodlarvae. The abundance and distribution pattern of these organismswere closely linked (i) to the abundant presence of the correspondingadult species in the area, (ii) with the spatial distributionof phytoplanktonic populations concurrently studied by Estrada[J. Plankton Res ., 6, 417–434 (1984)] and (iii) withthe hydrodynamic pattern in the area. Fifty-two decapod larvaetaxa were identified and Solenocera membranacea, Pisidia longicornis,Pilumnushirtellus and Goneplax rhomboides were the most representativespecies It was observed that the greatest concentrations oflarvae (3387 larvae 10^–2 m^–3) were to be found nearthe mouth of the Rfas Baixas (situated in the south-west ofthe coastal area) and in some zones further out to sea (863larvae 10^–2 m^–3) (due to a process of hydrodynamictransport)     

Gut evacuation rates and ingestion rates of Eudiaptomus graciloides measured by means of the gut fluorescence method

Journal of Plankton Research, 8, 973–983, 1986 FIg. 2. Time-dependent changes in the gut content (percentageof initial ng pigment) of E. gro.ciloides at different temperaturesunder simultaneous feeding. Fig. 4. The relationship between instantaneous evacuation rateand temperature of E. graciloides. The regresston equation forfeeding animals: y = 0.0044 e(0.141 ) (r² = 0.90). For comparisonthe results of non-feeding animals are indicated with open circles.     

Climate-induced variability in Calanus marshallae populations

Calanus marshallae is the dominant mesozooplankton copepod speciesover the south-eastern Bering Sea middle shelf. Climate-inducedchanges in the magnitude and timing of production by C. marshallaemay affect the living marine resources of the Bering Sea shelfecosystem. We examined springtime abundance, gonadal maturityand stage distributions of C. marshallae copepodites duringfive consecutive years (1995–1999) that spanned the rangeof variability observed over the past 34 years in terms of watertemperature and ice cover. We compared our results with previouswork conducted during cool (1980) and warm (1981) years [ Smith,S. L. and Vidal, J. (1986) Cont. Shelf Res., 5, 215–239].The spring phytoplankton bloom began relatively early in associationwith ice (1995, 1997, 1999), but began late when ice was absentor retreated early (1996, 1998). Egg production began well beforethe bloom and continued over a long duration. Copepodites, however,were recruited during a relatively short period, coincidentwith the spring phytoplankton bloom. The relationship betweenbrood stock and spring-generation copepodite abundances wasweak. Copepodite concentrations during May were greatest inyears of most southerly ice extent. Copepodite populations werehighly variable among years, reflecting interannual variabilityin the atmosphere–ice–ocean system.     

ERRATUM

R. MANLY. The larval development of Tricolia pullus (L.)J. moll.Stud. (1976) 42,361–369. The legends of Figs 2 and 3 shouldbe transposed.     

Effect of photoinhibition on algal photosynthesis: a dynamic model

Recent evidence from algal physiology and molecular biologyconfirms that photoinhibition is directly related to D1 proteindamage and recovery, and D1 protein damage leads to a decreasein electron transfer or an increase in turnover time of theelectron transfer chain. In this study, the turnover time ofthe electron transfer chain is defined as a function of therelative concentration of D1 protein in reaction centre II andthe photoinhibition processes due to D1 protein degradationare incorporated into a model of photosynthesis, initiated byDubinsky et al. (Plant Cell Physiol., 27, 1335–1349, 1986)and developed by Sakshaug et al. (Limnol. Oceanogr., 34, 198–205,1989). D1 protein damage is assumed to be both light and D1protein concentration dependent, and to be proportional to thecross-section of PSII (     

Using a phytoplankton growth model to predict the fractionation of stable carbon isotopes

In the preceding paper in this issue, a phytoplankton growthmodel based on an analogy with chemical kinetics (the CR model)was re-derived, and a comparison made with the growth rate ofcultured phytoplankton assemblages extracted from temperatelakes. In this paper, further derivation of the CR model leadsto the same model of carbon isotope fractionation used by Rauet al. (Mar. Ecol. Prog. Ser., 133, 275–285, 1996). Boththe CR and Rau et al. models are compatible with the observationthat isotope fractionation during phytoplankton growth,     

PETALIFERA HABEI, A NEW SPECIES FROM JAPAN ADDENDUM

Since Petalifera habei was described in the Proceedings, 34,1, 12–18, April 1960, I have received from Dr. K. Babaa short account of the same species in Publ. Seto. mar. biol.Lab. 7, 3, 337–338. December, 1959, under the title "Thegenus Petalifera and a new species, P. ramosa, from Japan".I was unaware that Dr. Baba intended to describe it. As hispaper antedates mine, his name, Petalifera ramosa, must replaceP. Habei.     

Phytoplankton blooms and fish recruitment rate: Effects of spatial distribution

We consider the spatio-temporal dynamics of a spatially-structured generalization of the phytoplankton-zooplankton-fish larvae model system proposed earlier (Biktashev et al., 2003, J. Plankton Res. 5, 21–33; James et al., 2003, Ecol. Model. 160, 77–90). In contrast to Pitchford and Brindley (2001, Bull. Math. Biol. 63, 527–546), who were concerned with small scale patchiness (i.e., 1–10m), on which the (stochastic) raptorial behaviour of individual larvae is important, we address here the much larger scale ‘patchy’ problems (i.e., 10–100 km), on which both larvae and plankton may be regarded as passive tracers of the fluid motion, dispersed and mixed by the turbulent diffusion processes. In particular, we study the dependence of the fish recruitment on carrying capacities of the plankton subsystem and on spatio-temporal evolution of that subsystem with respect to the larvae hatching site(s). It is shown that the main features found both in the nonstructured and age-structured spatially uniform models are observed in the spatially structured case, but that spatial effects can significantly modify the overall quantitative outcome. Spatial patterns in the metamorphosed fish distribution are a consequence of quasi-local interaction of larvae with plankton, in which the dispersion of larvae by large scale turbulent eddies plays little part due to the relatively short timescale of the larvae development. As a result, in a strong phyto/zooplankton subsystem, with fast reproduction rate and large carrying capacity of phytoplankton and high conversion ratio of zooplankton, recruitment success depends only on the localization and timing of the hatching with respect to the plankton patches. In a weak phyto/zooplankton system, with slow reproduction rate and small carrying capacity of phytoplankton and low conversion ratio of zooplankton, the larvae may significantly influence the evolution of the plankton patches, which may lead to nontrivial cooperative effects between different patches of larvae. However, in this case, recruitment is very low.     

Parasitic Wasps Learn and Report Diverse Chemicals with Unique Conditionable Behaviors

Chemical Senses, 28, 545–549 Regrettably, an error occurred in Figure 3 of this     

Mathematical modeling of capillary formation and development in tumor angiogenesis: penetration into the stroma

The purpose of this paper is to present a mathematical model for the tumor vascularization theory of tumor growth proposed by Judah Folkman in the early 1970s and subsequently established experimentally by him and his coworkers [Ausprunk, D. H. and J. Folkman (1977) Migration and proliferation of endothelial cells in performed and newly formed blood vessels during tumor angiogenesis, Microvasc Res., 14, 53–65; Brem, S., B. A. Preis, ScD. Langer, B. A. Brem and J. Folkman (1997) Inhibition of neovascularization by an extract derived from vitreous Am. J. Opthalmol., 84, 323–328; Folkman, J. (1976) The vascularization of tumors, Sci. Am., 234, 58–64; Gimbrone, M. A. Jr, R. S. Cotran, S. B. Leapman and J. Folkman (1974) Tumor growth and neovascularization: an experimental model using the rabbit cornea, J. Nat. Cancer Inst., 52, 413–419]. In the simplest version of this model, an avascular tumor secretes a tumor growth factor (TGF) which is transported across an extracellular matrix (ECM) to a neighboring vasculature where it stimulates endothelial cells to produce a protease that acts as a catalyst to degrade the fibronectin of the capillary wall and the ECM. The endothelial cells then move up the TGF gradient back to the tumor, proliferating and forming a new capillary network. In the model presented here, we include two mechanisms for the action of angiostatin. In the first mechanism, substantiated experimentally, the angiostatin acts as a protease inhibitor. A second mechanism for the production of protease inhibitor from angiostatin by endothelial cells is proposed to be of Michaelis-Menten type. Mathematically, this mechanism includes the former as a subcase. Our model is different from other attempts to model the process of tumor angiogenesis in that it focuses (1) on the biochemistry of the process at the level of the cell; (2) the movement of the cells is based on the theory of reinforced random walks; (3) standard transport equations for the diffusion of molecular species in porous media. One consequence of our numerical simulations is that we obtain very good computational agreement with the time of the onset of vascularization and the rate of capillary tip growth observed in rabbit cornea experiments [Ausprunk, D. H. and J. Folkman (1977) Migration and proliferation of endothelial cells in performed and newly formed blood vessels during tumor angiogenesis, Microvasc Res., 14, 73–65; Brem, S., B. A. Preis, ScD. Langer, B. A. Brem and J. Folkman (1997) Inhibition of neovascularization by an extract derived from vitreous Am. J. Opthalmol., 84, 323–328; Folkman, J. (1976) The vascularization of tumors, Sci. Am., 234, 58–64; Gimbrone, M. A. Jr, R. S. Cotran, S. B. Leapman and J. Folkman (1974) Tumor growth and neovascularization: An experimental model using the rabbit cornea, J. Nat. Cancer Inst., 52, 413–419]. Furthermore, our numerical experiments agree with the observation that the tip of a growing capillary accelerates as it approaches the tumor [Folkman, J. (1976) The vascularization of tumors, Sci. Am., 234, 58–64]. An erratum to this article is available at .     

Infection of the diatom Asterionella by a chytrid. II. Effects of light on survival and epidemic development of the parasite

A model is formulated to investigate the ability of chytridparasites to survive or become epidemic within populations oftheir algal hosts The model is used for an analysis of the effectsof light on the occurrence of Rhizophydium planktonicum Canteremend., a chytrid parasite of the freshwater diatom Asterionellaformosa Hass., using the information on the growth parametersof host and parasite presented in the first part of this article(J. Plankton Res ., 13, 103–117). According to the model,conditions for survival of the parasite are optimal when thehost grows at saturating light conditions. Under limiting lightconditions, Rhizophydium needs higher host densities in orderto maintain itself. The parasite is not able to survive prolongedperiods of severe light limitation of the host Epidemic development,however, turned out to be facilitated by a moderate light limitationof the host. Both light saturation and severe light limitationhamper epidemic development, but in the first case, epidemicdevelopment is still possible at sufficiently high host densities.