Predation by ciliates on a metalimnetic Cryptomonas population: feeding rates, impact and effects of vertical migration

Deep algal maxima are frequently overlayed by dense populationsof ciliates, rotifers and crustaceans. This has been interpretedas evidence of heavy predation on the algae, although the impactof this predation has never been determined experimentally.We determined the vertical and seasonal distribution of thealga Cryptomonas phaseolus and its most relevant predators,the ciliates Coleps sp. and Prorodon sp., forming metalimneticmaxima in Lake Cisó. On several dates, in situ feedingrates of ciliates were determined by three independent methods:(i) epifluorescence counts of ingested algal cells togetherwith estimates of the food turnover time of the ciliates; (ii)in situ incubations with radioactively labeled algae: (iii)HPLC determination of alloxanthine content in the predator sizefraction. Feeding rates varied between 0.07 and 0.64 Cryptomonasciliate^–1 h^–1. We then calculated integrated predationon the algae. using the functional response of the ciliatesand the vertical distribution of each population. We found thateven though the ciliates were always food saturated, their predationimpact on Cryptomonas was not very large: as an average, 5–25%of the biomass of Cryptomonas was removed daily by the ciliates.Finally, we studied the effects of the diel vertical movementsof these populations on predation impact. By migrating intothe sulfide-rich hypolimnion during the night, Cryptomonas couldreduce its predation losses by 38%. Thus, the algae were protectedfrom predation during several hours of each diel cycle and maintaineda very large biomass throughout stratification, although thisresulted in a very slow growth. Slow growth, coupled to largebiomass, seems to be a general feature of metalimnetic accumulationsof organisms.     

Spatial and temporal dynamics of a metalimnetic Cryptomonas peak

A metalimnetic peak of Cryptomonas phaseolus was studied duringseveral stratification periods in Lake Cis (Spain). We describedthe seasonal, spatial and diel dynamics of the peak, and testedthe likelihood of several hypotheses to explain the mechanismof formation of the peak and the factors controlling the actualdepth of the peak. The metalimnetic peak generally accountedfor >60% of the lake phytoplanktonic biomass. Cryplomonasphaseolus was shown to be active at depth, growing at the metalimnionduring the spring and remaining there, in a dynamic equilibriumwhere losses balanced production, through the stratificationperiod. The upper limit of sulfide distribution delimited theexact depth of the peak at noon hours. The peak did not movefollowing optimal light intensities; rather, it followed thedepth oscillations of the oxygen-sulfide interface. Low sulfideconcentrations were apparently tolerated and the protist movedinside the sulfide-rich part of the lake at night and duringthe winter. Metalimnetic algal populations behave differentlyfrom epilimnetic ones. A single species accounts for most ofthe biomass and production, and persists during all the stratificationperiod. This indicates that the mechanisms currently believedto account for succession (competition and predation) do notoperate efficiently in metalimnetic peaks.     

Heterotrophic capability of a metalimnetic plankton population in saline Lake Shira (Siberia, Khakasia)

The heterotrophic potential of a deep (12 m) phytoplankton community layer in Lake Shira (Siberia), dominated by several taxa of cyanobacteria (Aphanocapsa, Lyngbya contorta, and other unidentified species) was investigated. The plankton community was fractionated by size, allowing separation between the bacterioplankton and the phytoplankton, and ¹³C-labelled organic compounds were used as tracers. The uptake of ¹³C-labelled glucose and of ¹³C-labelled glycine was maximal in the bacterioplankton-enriched fraction (¹³ C = 557 and 323, respectively), but was also high in the cyanobacterial fraction (¹³ C=138 and 80, respectively). An inverse relationship between the uptake of organic compounds and the light intensity when the whole community was exposed to different irradiances was also investigated. These results suggest that the photosynthetic microorganisms from the investigated community are able to assimilate organic compounds and thus supplement their carbon and energy requirements. This heterotrophic capability appears to be favoured by the high in situ concentrations of dissolved organic carbon (>15 mg C l^–1), and may offset the effects of severe light limitation on the phytoplankton in this deep, highly shaded environment.     

Physiological ecology of a tropical dragon,Lophognathus temporalis

Lophognathus temporalis is an arboreal lizard from the wet–dry tropics of Australia. During the wet season the field metabolic rate (FMR) of the lizards was 209 kJ kg^?1 d^?1, but during the dry season FMR was only 62 kJ kg^?1 d^?1. Similarly, water flux decreased from 73.6 mL kg^?1 d^?1 in the wet season to 18.5 mL kg^?1 d^?1 in the dry season. Body temperatures (T_b) were significantly lower in the dry season, and operative temperatures, calculated by incorporating microclimatic data with characteristics of the lizards, indicated that the seasonal shift was due to changes in thermoregulatory behaviour rather than limitations of the thermal environment. By combining field measurements of T_b and FMR with laboratory measurements of standard metabolic rate over a range of T_b, we were able to subdivide the FMR into its components and to determine which factors contributed to the seasonal reduction in energy expenditure. During the dry season, lizards used 147 kJ kg^?1 d^?1 less energy than during the wet season, and 24% of this decrease was estimated to be due to the passive effects of lower nighttime T_b, 14% was due to the active selection of lower daytime T_b, 27% was due to the physiological shift to lower standard metabolic rates, and 35% was due to reduced activity in the dry season. Although the population size remained relatively constant (107 lizards ha^?1 during the wet season and 125 lizards ha^?1 during the dry season), the population structure changed, reflecting the seasonal patterns of recruitment and mortality. The number of lizards active at any one time was much lower in the dry season, reflecting the lower levels of activity in this season. The energy expenditure of the population of L. temporalis was 612 kJ ha^?1 d^?1 during the wet season and 113 kJ ha^?1 d^?1 during the dry season.     

Frontiers in population ecology of microtine rodents: A pluralistic approach to the study of population ecology

Current challenges for the study of population ecology of microtine rodents are reviewed. Comparisons with other taxonomic groups (other mammals, birds and insects) are given throughout. A major challenge is to link patterns and processes (i.e. mechanisms) better than is the case today. Other major challenges include the furthering of our understanding of the interaction between deterministic and stochastic processes, and as part thereof, the interaction between density-dependent and density-independent processes. The applicability of comparative studies on populations exhibiting different temporal dynamical patterns is, in this connection, emphasized. Understanding spatiotemporal dynamical patterns is another major challenge, not the least from a methodological point of view. Long-term and large-scale ecological data on population dynamics (in space and time) are critical for this purpose. Looking for consistency between hypothesized mechanisms and observed patterns is emphasized as a good platform for further empirical and theoretical work. The intellectual feedback process between different approaches to the study of microtine population ecology (observational studies, experimental manipulative studies, statistical modeling and mathematical modeling) are discussed. We recommend a pluralistic approach (involving both observational and experimental as well as theoretical studies) to the study of small rodent ecology.     

Physiological ecology of rocky intertidal organisms: a synergy of concepts

The rocky intertidal zone is among the most physically harshenvironments on earth. Marine invertebrates and algae livingin this habitat are alternatively pounded by waves and exposedto thermal extremes during low tide periods (Denny and Wethey,2001). Additionally, they must deal with strong selective pressuresrelated to predation and competition for space (Connell, 1961).As a result, the steep physical gradient and spatially condensedcommunity has made the rocky intertidal zone an ideal "naturallaboratory" to study the coupled role of physical and biologicalfactors in determining the abundance and distribution of organismsin nature (Connell, 1961; Paine, 1966, 1994).     

Physiological ecology of a gliding bacterium containing bacteriochlorophyll a

[This corrects the article on p. 577 in vol. 47.].     

Motility of Marichromatium gracile in response to light, oxygen, and sulfide.

The motility of the purple sulfur bacterium Marichromatium gracile was investigated under different light regimes in a gradient capillary setup with opposing oxygen and sulfide gradients. The gradients were quantified with microsensors, while the behavior of swimming cells was studied by video microscopy in combination with a computerized cell tracking system. M. gracile exhibited photokinesis, photophobic responses, and phobic responses toward oxygen and sulfide. The observed migration patterns could be explained solely by the various phobic responses. In the dark, M. gracile formed an approximately 500-microm-thick band at the oxic-anoxic interface, with a sharp border toward the oxic zone always positioned at approximately 10 microM O(2). Flux calculations yielded a molar conversion ratio S(tot)/O(2) of 2.03:1 (S(tot) = [H(2)S] + [HS(-)] + [S(2-)]) for the sulfide oxidation within the band, indicating that in darkness the bacteria oxidized sulfide incompletely to sulfur stored in intracellular sulfur globules. In the light, M. gracile spread into the anoxic zone while still avoiding regions with >10 microM O(2). The cells also preferred low sulfide concentrations if the oxygen was replaced by nitrogen. A light-dark transition experiment demonstrated a dynamic interaction between the chemical gradients and the cell's metabolism. In darkness and anoxia, M. gracile lost its motility after ca. 1 h. In contrast, at oxygen concentrations of >100 microM with no sulfide present the cells remained viable and motile for ca. 3 days both in light and darkness. Oxygen was respired also in the light, but respiration rates were lower than in the dark. Observed aggregation patterns are interpreted as effective protection strategies against high oxygen concentrations and might represent first stages of biofilm formation.     

Application of proteomics to ecology and population biology

Proteomics is a relatively new scientific discipline that merges protein biochemistry, genome biology and bioinformatics to determine the spatial and temporal expression of proteins in cells, tissues and whole organisms. There has been very little application of proteomics to the fields of behavioral genetics, evolution, ecology and population dynamics, and has only recently been effectively applied to the closely allied fields of molecular evolution and genetics. However, there exists considerable potential for proteomics to impact in areas related to functional ecology; this review will introduce the general concepts and methodologies that define the field of proteomics and compare and contrast the advantages and disadvantages with other methods. Examples of how proteomics can aid, complement and indeed extend the study of functional ecology will be discussed including the main tool of ecological studies, population genetics with an emphasis on metapopulation structure analysis. Because proteomic analyses provide a direct measure of gene expression, it obviates some of the limitations associated with other genomic approaches, such as microarray and EST analyses. Likewise, in conjunction with associated bioinformatics and molecular evolutionary tools, proteomics can provide the foundation of a systems-level integration approach that can enhance ecological studies. It can be envisioned that proteomics will provide important new information on issues specific to metapopulation biology and adaptive processes in nature. A specific example of the application of proteomics to sperm ageing is provided to illustrate the potential utility of the approach.     

Niche and area of distribution modeling: a population ecology perspective

Statistical modeling of areas of distribution of species by correlative analysis of the environmental features of known presences has become widespread. However, to a large degree, the logic and the functioning of many of these applications remain obscure, not only due to the fact that some of the modeling methods are intrinsically complex (neural networks, genetic algorithms, generalized additive models, for example), but mainly because the role of other ecological processes affecting the species distributions sometimes is not explicitly stated. Resorting to fundamental principles of population ecology, a scheme of analysis based on separation of three factors affecting species distributions (environment, biotic interactions and movements) is used to clarify some results of niche modeling exercises. The area of distribution of a virtual species which was generated by both environmental and biotic factors serves to illustrate the possibility that, at coarse resolutions, the distribution can be approximately recovered using only information about the environmental factors and ignoring the biotic interactions. Finally, information on the distribution of a butterfly species, Baronia brevicornis , is used to illustrate the importance of interpreting the results of niche models by including hypothesis about one class of movements. The results clarify the roles of the three factors in interpreting the results of using correlative approaches to modeling species distributions or their niches.     

Phytoplankton, light and nutrients along a gradient of mixing depth: a field test of producer-resource theory

1. Variation in depth of the mixed surface layer of temperate lakes should affect phytoplankton dynamics because, with increasing mixing depth, average light intensity in and specific sedimentation losses out of the mixed layer both decrease. 2. Our aim was to test a recent dynamic model which relates phytoplankton biomass and the availability of production‐limiting resources (light and dissolved mineral nutrients) to mixing depth and nutrient supply from external sources. 3. During summer stratification we sampled the mixed layers of 30 dimictic, phosphorus‐limited, oligo‐ to mesotrophic, mostly non‐humic lakes north of the Alps. 4. The results agree well qualitatively with model expectations. Algal concentration in the mixed layer was negatively related to mixing depth or its surrogate log‐transformed lake area. Light intensity at the bottom of the mixed layer decreased whereas the concentration of available, inorganic phosphorus increased with increasing mixing depth. Across all depths, higher total phosphorus content was accompanied by higher phytoplankton biomass, lower light availability, and higher inorganic phosphorus concentration. 5. Our data match the predicted shift with increasing mixing depth from predominantly nutrient limitation towards increased light limitation of algal biomass.     

Rotifer population dynamics in response to increased bacterial biomass and nutrients: a mesocosm experiment

The impact of organic nutrients and massive addition of bacteria was followed in lake water mesocosms in a eutrophic lake. Increased DOM initiated a sequence of trophic responses indicated by rapid increases in bacterioplankton, protozoa, and algal biomass. The populations of Keratella cochlearis and Keratella quadrata showed a distinct response by rapid increase in birth rate followed by maxima of production and abundance. This succession clearly reflected the trophic position of these rotifer populations in the food chain. A reverse response was observed in Conochilus unicornis.     

Physiological characteristics of picophytoplankton, isolated from Lake Kinneret: responses to light and temperature

Two different phylogenetic groups of picophytoplankton, namelypicocyanobacteria and picoeukaryotes, are represented in LakeKinneret. Three species were isolated from the lake and identifiedas the picoeukaryote Mychonastes homosphaera and two picocyanobacteria,Synechococcus sp. A and B. Picocyanobacterial and M. homosphaeracultures grew well at light intensities up to 330 and 700 µmolphotons m^-2 s^-1, respectively, but poorly below 10 µmolphotons m^-2 s^-1. Picocyanobacterial and M. homosphaera culturesphotoacclimated to low light by increasing their chlorophyllper cell through increase in photosynthetic unit (PSU) sizeand PSU numbers, respectively. Growth rates of SynechococcusA and B were higher at temperatures characteristic of summer–autumnin the epilimnion, when maximum abundances of picocyanobacteriaoccur. Growth rates of M. homosphaera were higher at 14°C,corresponding to lake water temperatures during their occurrencein winter–spring. Temperature is a dominant factor influencingthe seasonal dynamics of both picocyanobacteria and picoeukaryotesin Lake Kinneret, while the vertical distribution is controlledby acclimation to different light conditions. Differences intemperature tolerance and photoacclimation suggest that SynechococcusA belongs to picocyanobacteria found in summer below surfacewaters, while Synechococcus B represents picocyanobacteria foundthroughout the year at all depths. Photoacclimation to highlight as shown in M. homosphaera cultures, may account for therelatively high abundance of picoeukaryotes in surface watersin Lake Kinneret.     

Bayesian data analysis in population ecology: motivations,methods, and benefits

During the 20th century ecologists largely relied on the frequentist system of inference for the analysis of their data. However, in the past few decades ecologists have become increasingly interested in the use of Bayesian methods of data analysis. In this article I provide guidance to ecologists who would like to decide whether Bayesian methods can be used to improve their conclusions and predictions. I begin by providing a concise summary of Bayesian methods of analysis, including a comparison of differences between Bayesian and frequentist approaches to inference when using hierarchical models. Next I provide a list of problems where Bayesian methods of analysis may arguably be preferred over frequentist methods. These problems are usually encountered in analyses based on hierarchical models of data. I describe the essentials required for applying modern methods of Bayesian computation, and I use real-world examples to illustrate these methods. I conclude by summarizing what I perceive to be the main strengths and weaknesses of using Bayesian methods to solve ecological inference problems.     

Knoxdaviesia capensis: dispersal ecology and population genetics of a flower-associated fungus

Protea-associated fungi are dispersed between flower heads by mites, beetles and possibly birds. For the ophiostomatoid fungus, Knoxdaviesia proteae, these vectors offer regular dispersal between distant floral hosts. Unlike K. proteae, Knoxdaviesia capensis occupies multiple Protea host species. In this study, we aimed to determine whether the generalist K. capensis shares the long-distance dispersal pattern with specialist K. proteae and whether it moves freely between different host species. We evaluated the genetic structure of K. capensis from five populations of a wide-spread host and between sympatric hosts. Twelve K. capensis-specific microsatellite markers were developed and applied to 90 individuals. K. capensis showed high genetic diversity and almost maximal genotypic diversity. All populations were poorly differentiated, indicating the presence of long-distance dispersal. No differentiation could be detected between sympatric host populations, suggesting free dispersal between different hosts. This implies that the beetle and bird vectors that pollinate Protea species show the same non-specific movement.     

From population ecology to metabolism: growth of Trypanosoma evansi,and implications of glucose depletion,in a live host

Little attention has been paid to the potential top-down effects of population ecology on metabolism. Because it is capable of a fast growth that dramatically modifies its blood environment, the parasitic protozoan, Trypanosoma evansi, is a promising model for the study of density-dependent metabolic processes. We assess the in vivo growth rate, doubling time, biomass yield, glycolytic flux, and enzyme expression of T. evansi. Then, we explore the metabolic changes likely occurring during its growth. At low T. evansi densities, most host glucose is used to produce energy, which results in the release of pyruvate. Part of glucose is used for NADPH production through the pentose phosphate pathway. At high T. evansi densities, fructose, mannose, and glycerol become additional energy sources. Part of host glucose is used for biosynthesis and for NADPH production through alternative metabolic pathways, which results in the release of succinate, alanine, and acetate. The ability of organisms to adjust to resource changes is crucial to their survival. Irrespective if the triggering mechanism is direct (nutrient limitation) or indirect (a pheromone-like factor), nutrient availability is necessarily the main evolutionary factor responsible for the density-dependent metabolic properties of trypanosome populations.     

Physiological and pharmacological features of the novel gasotransmitter: Hydrogen sulfide

Hydrogen sulfide (H₂S) has been known for hundreds of years because of its poisoning effect. Once the basal bio-production became evident its pathophysiological role started to be investigated in depth. H₂S is a gas that can be formed by the action of two enzymes, cystathionine gamma-lyase and cystathionine beta-synthase, both involved in the metabolism of cysteine. It has several features in common with the other two well known “gasotransmitters” (nitric oxide and carbon monoxide) in the biological systems. These three gasses share some biological targets; however, they also have dissimilarities. For instance, the three gases target heme-proteins and open K_ATP channels; H₂S as NO is an antioxidant, but in contrast to the latter molecule, H₂S does not directly form radicals. In the last years H₂S has been implicated in several physiological and pathophysiological processes such as long term synaptic potentiation, vasorelaxation, pro- and anti-inflammatory conditions, cardiac inotropism regulation, cardioprotection, and several other physiological mechanisms. We will focus on the biological role of H₂S as a molecule able to trigger cell signaling. Our attention will be particularly devoted on the effects in cardiovascular system and in cardioprotection. We will also provide available information on H₂S-donating drugs which have so far been tested in order to conjugate the beneficial effect of H₂S with other pharmaceutical properties.