What does it all mean?

Just over a quarter of a century ago, my friend and colleague Steve Juggins and a group of other palaeoecologists came up with a clever way to relate the composition of diatom samples taken from different levels of a sediment core to the environmental conditions of the lake at the time that these diatoms were alive.   At the heart of this was a set of statistical tools called “transfer functions” and the use of these has proliferated over subsequent years, spilling from diatoms to many other groups of organisms and from palaeoecological studies to contemporary investigations of man’s impact on the environment.   So pervasive have these methods become that Steve returned to the subject a few years ago and critiqued the many misuses of the method that he was seeing in the literature.

The principle behind the use of transfer functions is that each species has a characteristic response to an environmental pressure gradient (in early studies this was pH) which could be portrayed as a unimodal (approximately bell-shaped curve).   The point along the gradient where a species is most abundant represents the “optimum” condition, the level of the pressure where the species thrives best.  The average of the optima of all organisms in a sample, Steve and colleagues showed, could be then used to estimate the value of the pressure.   This unlocked the door to quantitative reconstructions of changes in acidification of lakes in the UK and Scandinavia that, in turn, ultimately shaped environmental policy. It was one of the most impressive achievements of applied ecologists in the 20th century.

A diagrammatic representation of the principle behind transfer functions: each organism has a characteristic response to the predominant pressure (nutrient/organic pollution in this case).

Part of the reason for their success in building strong predictive models was, I suspect, that the pollutant that they were focussed upon had a direct effect on the physiology of the cells which, in turn, created strong selective pressures on the community.   Another reason was that palaeoecological samples condense all the habitat variation within a lake (plankton v benthic, seasonal differences etc) into a single assemblage.   This, then, begs the question of how well we should expect transfer functions to perform when applied to assemblages which represent much narrower windows of space and time, and when the pollutants of interest exert indirect rather than direct effects on the organisms.   Or, to recast that question another way, are some of the problems we encounter interpreting diatom indices from rivers another form of the misuse of transfer functions that Steve dissects in his review?

It is easy to believe that transfer functions do work when applied to contemporary diatom assemblages from rivers.   If you evaluate datasets you will almost certainly find that the “optima” for all the species do appear to be arranged along a continuum along the pressure gradient.  The question that we need to ask is whether this represents a causal relationship or is just a statistical artefact?  I touched on this issue in “What we expect is often what we get …” but, in that post, I was mostly interested in how samples react along a gradient, not the response of individual species.  I suspect that, given the importance of alkalinity in freshwater algal ecology (see “Ecology in the Hard Rock Café”), this must influence the distribution of optima along a nutrient gradient.   This will be compounded when sample sizes are small, as the likelihood is that the sample optimum will not correspond exactly to the “true” optimum for the species in question (a question Steve has also addressed in a more recent paper – see reference list below).  Finally, this is all embedded within a larger problem: that most of the work I have discussed here involves statistical inference from datasets compiled from samples collected from a range of sites in a region, but is intended to address changes in time rather than space (so-called “space-for-time substitution – see reference by Pickett below).   There has been relatively little testing of species preferences under controlled experimental conditions.

In practice, I suspect, the physiological response of benthic algae to nutrients is less complicated than our noisy graphs suggest.   I set out a version of this in “What we expect is often what we get …”.   That post dealt primarily with communities of microalgae; this is the same basic scheme (with some slight revisions) but posed in terms of the physiological response of the organisms.  It borrows from the habitat matrix conceptual model of Barry Biggs, Jan Stevenson and Rex Lowe (which, itself, builds on earlier work on terrestrial plants by Phil Grime and colleagues).

An alternative explanation for the response of benthic algae to nutrients and organic pollution.  a., b., c. and d. are explained in the text.

  1. Low nutrients / high oxygen concentrations – the “natural state” in most cases. Biggs et al. referred to species adapted to such conditions “stress-adapted” as they can cope in situations where nutrients are scarce. Associated with TDI scores 1 and 2.  Examples: Hannaea arcus, Achnanthidium minutissimum, Tabellaria flocculosa.
  2. high nutrients / no “secondary effects” of eutrophication – these are “competitive” species in Biggs et al.’s template and can thrive when there is anthropogenic enrichment of nutrients. Ideally, this group would consist of species that have a physiological adaptation that allows them to thrive when nutrients are plentiful though, in practice, our understanding is based mostly on inference from spatial patterns. The “window” where such species can thrive is wide, and will overlap with the two states described below, in many cases.  Associated with TDI scores 3 and 4.  Examples: Amphora pediculus, Rhoicosphenia abbreviata, Cocconeis pediculus.  Cladophora glomerata would be a good example of a non-diatom that belongs to this group.
  3. high nutrients plus “secondary effects” of eutrophication – this category extends the habitat template of Biggs et al. to include organisms whose are reacting to secondary effects  of nutrient enrichment (e.g. shade and low oxygen) rather than to the elevated nutrients per se and is, consequently, difficult to differentiate from a direct response to organic pollution. Associated with TDI scores 4 and 5. Examples include several species of Nitzschia as well as Mayamaea and Fistulifera, amongst others.   Importantly, this group may co-exist with representatives from group b. – perhaps inhabiting different zones of the biofilm that typically blend together when a sample is taken.
  4. high nutrients / very low oxygen – a final category that represents extreme situations when an ability to cope with reducing conditions is beneficial, and where diatoms that are facultative heterotrophs may thrive. Associated with TDI score 5. Heterotrophic fungal and bacterial growths (“sewage fungus”) may also be abundant.  Once again, there is likely to be some overlap between this and other groups.   Technically, this group is more likely to be associated with serious organic pollution than with nutrients; however, it will be found at sites where nutrient concentrations are high and it is possible that an association with nutrients may be inferred from spatial patterns.

We are left, in other words, with a choice between deriving optima along a continuous scale based on inferences from spatial patterns within which we know that there are significant confounding variables or dividing species into a few physiologically-defined categories for which there is not very much experimental underpinning.   Neither is ideal, and some of our recent analyses suggest that, in terms of model strength, there is little to choose between them.   The former, in my view, suggests an artificially high level of precision that is unrealistic, given the current state of knowledge.   The latter, on the other hand, links the data to a conceptual model rather than simply relying upon the numbers that squirt out at the far end of a statistical process.

That does not mean that such an approach might not be appropriate for some other groups of organisms.  The reason why I urge simplicity for diatoms is largely because of the scale of the habitats that we are sampling, in relation to the wider patterns of variability.  A continuous series of optima may be appropriate in some cases too.   Macrophytes surveys, for example, encompass all visible organisms found along a 100 m stretch.   These will have a range of life history and nutrient acquisition strategies: some of these will take up nutrients from the water, some from the sediments.  Different types of sediment will vary in the supply of phosphorus and nitrogen, and so on.   There will still be issues of confounding variables and risks of inferring from correlative rather than causal relationships, but perhaps the overall patchiness experienced over the survey length will create a more complex web of interactions between nutrients and community that justifies a continuous scale.

For diatoms, however, simplicity is probably the best choice.   In the absence of definitive evidence one way or the other we apply Occam’s Razor (“entities should not be multiplied unnecessarily”) and opt for the simpler of the two hypotheses pending evidence to the contrary.   This, in turn, may address a deeper issue: that of finding robust answers to complex problems (see “Unravelling causal thickets …”).   Inference from statistical models is only as good as the conceptual models that underpin those models and, I fear, we too often are so lost in the detail of the many confounding variables that we lose sight of our goals.  Being able to understand our observations in terms of ecological process is the first step to finding robust solutions to our problems.

References

Bennion, H., Juggins, S. & Anderson, N.J. (1996).  Predicting epilimnetic phosphorus concentrations using an improved diatom-based transfer function and its application to lake eutrophication management. Environmental Science & Technology 30: 2004-2007.

Biggs, B.J.F., Stevenson, R.J. & Lowe, R.L. (1991). A habitat matrix conceptual model for stream periphyton. Archiv für Hydrobiologie 143: 21-56.

Birks, H.J.B.,  Line, J.M., Juggins, S., Stevenson, A.C. & ter Braak, C.J.F.  (1990). Lake surface-water chemistry reconstructions from palaeolimnological data. Diatoms and pH reconstruction. Philosophical Transactions of the Royal Society of London Series B 327: 263-278.

Juggins, S. (2013).  Quantitative reconstructions in palaeolimnology: new paradigm or sick science?  Quaternary Science Reviews 64: 20-32.

Kelly, M.G., King, L. & Ní Chatháin, B. (2009).  The conceptual basis of ecological status assessments using diatoms.  Biology and Environment: Proceedings of the Royal Irish Academy 109B: 175-189.

Pickett, S.T.A. (1988).  Space-for-time substitution as an alternative to long-term studies.  Pp. 110-135.   In: Long-term Studies in Ecology: Approaches and Alternatives (edited by G.E.. Likens).  Springer-Verlag, New York.

Reavie, E.D. & Juggins, S. (2011).  Exploration of sample size and diatom-based indicator performance in three North American phosphorus training sets.  Aquatic Ecology 45: 529-538.

Lost in detail?

In my first post of 2017, I wrote “I fear, microscopic benthic algae may be ecology’s Sirens, sitting on submerged rocks and luring the unsuspecting into a world of taxonomic detail that is too rarely accompanied by profound ecological insight” (see “Not so bleak midwinter?”).   That was a post about Ennerdale Water and the River Ehen and I return to that same remote and beautiful part of north-west England to put some flesh onto the bones of that statement.

I chose a slide Ennerdale Water for the latest “ring test” which tests the competence of the analysts involved in routine ecological assessments using diatoms.   Everyone analyses the same slide and sends their results to me and I sort through and note areas of disagreement.   In this case, there was quite a lot of disagreement even amongst the experienced analysts but, as if to prove the point in my opening paragraph, this did had only a small effect on the conclusions that people reached on the quality of the ecosystem that the sample represented.

One of the areas of disagreement was a population of Brachysira that some described as Brachysira brebissonii whilst others suggested it was B. intermedia.   My inclination, following the illustrations in Hofmann et al’s Diatomeen im Süsswassser-Benthos von Mitteleuropa, was to call it B. intermedia as the illustrations of B. brebissonii show more broadly-rounded ends than were apparent in the Ennerdale population.  However, Bryan Kennedy, a member of our scheme, has been looking into the taxonomy of this genus as part of his PhD and directed me towards a paper by Bart van der Vijver, in which he had examined the type material for B. brebissonii (as “Navicula brebissonii Brébisson).  His illustrations show a population with more acute ends than Hofmann et al.’s illustrations.  Its shape is, in fact, much closer to that of the examples of B. intermedia that they illustrate.  Yet, we were all agreed, this taxonomic ambiguity had little effect on the interpretation that an ecologist would reach.  Most Brachysira species (with the curious exception of the type species, B. aponina) are associated with circumneutral to slightly acid water and low nutrients.   The species of the genus vary in their preference for alkalinity and hardness but, generally, indicate high quality conditions.

Another of the species present in the same sample was Frustulia crassinervia, which presents an interesting counterpoint to the situation I described for Brachysira brebissonii.   In this case, there was another possible candidate, Frustulia saxonica and, in fact, the rhombic-lanceolate outline of the Ennerdale Water population did suggest this species.  However, the clearly protracted ends and the size are more characteristic of F. crassinervia which was the name that the majority of experienced analysts opted for.   Once again, however, both species have similar ecological requirements: soft, often peaty water with low levels of enrichment.

Frustulia crassinervia from the south-east end of Ennerdale Water (circa NY 127 140), July 2016, scale bar: 10 micrometres (= 1/100th of a millimetre).  The top illustration shows Brachysira brebissonii from the same location.   Photographs by Lydia King.

The difference between the situation for Brachysira and Frustulia is that, in the case of Frustulia, the traditional morphological taxonomy is underpinned by molecular studies whereas, in the case of Brachysira, we only have morphological evidence on which to base names.   The interesting point is that the molecular studies of Frustulia suggest that there is no genetic difference between F. crassinervia and F. saxonica.   This alone does not mean that they are not separate species (they did not look at the whole genome), but it does suggest that more work is needed before we have a full understanding of the limits of the species in this genus.   A similar study on Brachysira (and, indeed, on any genus with a surfeit of recently described species separated purely on morphological criteria) might emphasise that differences in shape to which traditional taxonomists assign so much importance are real or it might not.   That would, at least, give people such as myself who use diatoms to gain a wider perspective of ecological health a better insight into where we really need to put in time and effort to discriminate between species.   In the post I mentioned at the start of this article I referred to the nineteenth century scientist Alexander von Humbolt and his concern that scientists got so bogged down in detail that they missed the big picture (“naturgemälde”). Some things never change …

Reference

Hofmann, G., Werum, M. & Lange-Bertalot, H. (2011).  Diatomeen im Süßwasser-Benthos von Mitteleuropa.  A.R.G. Gantner Verlag K.G., Rugell.

Lange-Bertalot, H. & Moser, G. (1994).  Brachysira.  Monographie der Gattung.  Bibliotheca Diatomologica 29: 1-212.

Urbánková, P., Scharfen, V. & Kulichová, J. (2016).  Molecular and automated identification of the diatom genus Frustulia in northern Europe.  Diatom Research 31: 217-229.

Van der Vijver, B. (2014).  Analysis of the type material of Navicula brachysira Brébisson with the description of Brachysira sandrae, a new raphid diatom (Bacillariophyceae) from Iles Kerguelen (TAAF, sub-Antarctica, southern Indian Ocean).  Phytotaxa 184: 139-147.

Veselá, Urbánková, P.,Černá, K. & Neustupa, J. (2012). Ecological variation within traditional diatom morphospecies: diversity of Frustulia rhomboides sensu lato (Bacillariophyceae) in European freshwater habitats.  Phycologia 51: 552-561.

Note:

In an earlier post about diatoms from this location (see “Reflections from Ennerdale’s far side …”) I showed some images of live cells of Stenopterobia sigmatella but added a comment to say that there was a very similar species, S. densestriata, that I could not rule out on the basis of observations of live cells alone.   I now have had the opportunity to have a looked at cleaned material as well and can confirm that the population in Ennerdale Water is, indeed, S. sigmatella.  S. sigmatella has less than 24 striae in 10 micrometres whilst S. densestriata, as the name suggests, has more (> 26 / 10 micrometres).   S. densestriata is also shorter (< 110 micrometres) and narrows to more acutely-rounded ends.

We also found a few valve of S. delicatissima, the other member of the genus that has been recorded from the UK.

Stenopterobia spp. from Ennerdale Water, July 2016.  i.: part of a cleaned valve of S. sigmatella; j. S. delicatissima.   Scale bar: 10 micrometres (= 100th of a millimetre).  Photographs by Lydia King.

So what have algae ever done for us?

Several of my posts on this blog allude to the “Cinderella” status of algae in the eyes of most natural historians, and I am always keen to emphasise the important role that algae play in aquatic ecosystems.  Over the past few months, however, I have had some help in this endeavour, in the form of two placement students from Newcastle University’s marine science degree.   We have been taking the first tentative steps towards developing some web pages that emphasise the very large contributions that algae, mostly overlooked, have made to the modern world.  

I thought that it might be a good idea to “beta test” the content of these pages on my blog, before finding a permanent home for them on the web.  The two students, Alexandra Jackson and Matt Walker, second year undergraduates at Newcastle, worked up a short list of major benefits of algae, based on a survey of experienced phycologists (the council of the British Phycological Society) then wrote some text  to explain each of these, along with some visual aids and a list of authoritative sources for further reading.  This, then, is what will be the “home page” of this series of pages, with text written by Alex and Matt and edited by myself.  As we get more pages ready to go, I will insert hyperlinks to make it easier to navigate around the pages.

Alexandra Jackson and Matt Walker, the placement students from Newcastle University responsible for this series of posts.   The image at the top of this post is Günter Forsterra’s winning image from the 2015 Hilda Canter-Lund photography competition.

The term “algae” encompasses an enormous and diverse group of photosynthetic organisms that can be found in marine, freshwater and terrestrial environments throughout the world.   Some can be seen with the naked eye but many are so small that they can only be seen with microscopes.

Algae influence our lives in far more ways than anyone might imagine. All the plants around us, including all the crops which feed us and provide us with fuel and fabric, have evolved from algae. In addition to being, ultimately, responsible for life on earth, algae form the foundation for many ecosystems (as a food source and primary producer).  Collectively, algae are responsible for over 50% of global primary production and, in the process, produce over 50% of the oxygen that we breathe. As this primary production is fuelled by carbon dioxide, algae can help tackle climate change by acting as a ‘carbon sink’. In addition to these global contributions to our livelihoods, algae also contribute in myriad other ways: they are used in waste-water treatment, agriculture and for coastal defences. Algae are, themselves, a major food resource in some parts of the world (particularly Asia).  Even when algae are not consumed directly, they can provide raw materials for the food industry, including natural food colourings.  Algal products are also used in some medicines, toiletries and cosmetics and the potential for algae to replace fossil fuels is being explored.

There will be more about these topics in future posts.  You can also read more about algae in the latest issue of the Natural History Museum’s Evolve magazine, which has illustrations of several winning and short-listed entries from the Hilda Canter-Lund competition illustrating an article written by me describing the diversity and relevance of algae.

The exception that proves the rule …

If you are going to understand river ecology, you need to be able to consider landscapes at several different scales simultaneously.   In the River Ehen, this means looking upstream towards Ennerdale Water and, beyond, to Great Gable and the other Lake District peaks in order to appreciate the geology that gives the catchment its bones.  But, at the same time, you need to look around at the meanders of the river and the bankside vegetation that create the immediate habitat for the organisms, and then to look even more closely at the individual stones that line the river bed.

Peering into the water last week, the pebbles, cobbles and boulders that make up the substratum of the River Ehen looked bare of filamentous algae for the most part.  There were a few clumps but, at this time of year, when grazing invertebrates are active, the algal flora is reduced to a thin film, invisible to the naked eye and apparent only as a slimy sensation when you run your fingers across the stone’s surface.   However, when I picked up a couple of cobbles, I noticed small, pale green gelatinous growths stuck on the upper surface.   Most were just a few millimetres across with the largest up to about a centimetre.

A growth of Draparnaldia glomerata on the upper surface of a cobble in the River Ehen, Cumbria, April 2017.

These growths are composed of the green alga Draparnaldia glomerata.  I have written about this alga before (see “The River Ehen in February”) but, under the microscope, it is such a beautiful organism, that I am not going to apologise for writing about it again.   The alga lives inside the gelatinous mass and consists of a relatively thick central filament from which tufts of narrower side-branches emerge.  The cells that make up these side branches gradually narrow, and the chloroplast becomes smaller until, eventually, the cells form a colourless “hair”.   These hairs are relatively short on the material illustrated below but can be much longer (some longer hairs were present but did not present nicely for photography).  The hairs are, in fact, an adaptation to help the alga acquire phosphorus, something I described in an earlier post about a relative, Stigeoclonium tenue (see “A day out in Weardale”).

Draparnaldia glomerata from the River Ehen, April 2017 showing filaments and side branches. Scale bars: a.: 50 micrometres (= 1/20th of a millimetre); b.: 20 micrometres (= 1/50th of a millimetre).

A low concentration of phosphorus is usually regarded as a Good Thing by aquatic ecologists, as this limits the amount of energy produced  by the plants at the base of the food chain.  This, in turn, means that the microbes and animals that depend on these are not using up all the oxygen in the water, or having other deleterious influences on the ecosystem.   I would usually regard the presence of an organism such as Draparnaldia as a sign of a healthy stream, as it is adapted to thrive when phosphorus is relatively scarce.

I was, however, careful to place “relatively” in front of “scarce”.   Studies by my colleagues (referenced in the earlier post) showed that the production of the phosphatase enzyme that boosts the alga’s ability to acquire phosphorus when it is scarce is determined by the ratio of nitrogen to phosphorus inside the cell itself, rather than in the water.   The physiology of nutrient limitation is all about the balance between the different “ingredients” that a cell needs.   If you have three eggs and 170g of sugar, for example, you can only make one cake, regardless of how much flour you have in your cupboard.   So it is with algae: most of the locations where I find Draparnaldia have very little nitrogen, but even less phosphorus.   There are barely enough ingredients for the algal “cake” so it is advantageous to the organism to pump out some enzyme to order to make up the shortfall.  This means that I can say with confidence that Draparnaldia is usually a good indicator of healthy streams.

Just occasionally, however, I get Draparnaldia in places where I would not usually expect it to be found.   The picture below shows a colleague standing in the Terman River, just before it flows into Lough Erne in Northern Ireland.   She is holding a skein of Cladophora glomerata in her left hand and a skein of Draparnaldia in her right hand.  I associate the former with nutrient-rich rivers where I would not usually expect to find Draparnaldia.  But both were growing prolifically at this site which defied my expectations until I started to think about the physiology of the organism.   Had I had the facilities to analyse the tissues of the algae, I expect that I would have found very high concentrations of nitrogen which, in turn, creates a demand for yet more phosphorus so that it could convert that nitrogen into the proteins it needs to grow.  However, that cannot be the whole story, because normally, under such circumstances, I would expect a competitive alga such as Cladophora to out-compete and overgrow the Draparnaldia.   Here, they were growing side-by-side.   It is, to date, the most luxuriant growth of Draparnaldia that I have seen, and also the only occasion where I have seen these two species co-existing in such abundance.

My colleague, Bernie White, holding skeins of Cladophora glomerata (left hand) and Draparnaldia glomerata (right hand) from the Terman River near Toome.  The border between the Republic of Ireland and the UK runs along the middle of this river.

I can extend my lesson from the first example to say that, to understand the ecology of any particular river you need to have perspectives obtained from many other rivers.   But, in this case, we see a potential limitation: the case of the “rare exception” that clouds an otherwise clear picture of an association between an organism and a particular set of circumstances.   The problem is particularly acute when dealing with the effect of nutrients because we are usually dealing with indirect, rather than direct effects.   Draparnaldia glomerata is usually associated with clean rivers with low concentrations of nutrients but it is not there because nutrient concentrations are low.   As for the diatom Amphora pediculus (see “The challenging ecology of a freshwater diatom?”) a more nuanced understanding of the relationship between an organism and nutrients yields more useful insights than simply assuming a cause-effect relationship.

Ecology in the Hard Rock Café …

Before I was diverted by the delights of Bukhara and Samarkand, I was writing about the struggles that aquatic plants have to undergo in order to obtain the carbon that they need for photosynthesis (see “Concentrating on carbon …”).   In this post, I want to show the scale of the effect of inorganic carbon supply on the diatoms that we find in freshwaters.

My earlier post pointed out that aquatic plants have two possible sources of carbon to use for photosynthesis: dissolved carbon dioxide or bicarbonate.   The latter is derived, ultimately, from the rocks through which the water seeps before ending up in a stream or river.   Calcium carbonate, in turn, reacts with hydrogen ions in the water to form the bicarbonate that plants can use for photosynthesis.   A rock such as limestone, which is made of calcium carbonate, for example, provides a better supply than a hard siliceous rock such as granite.

Aquatic biologists use the term “alkalinity” to refer to the relative amounts of carbon dioxide, bicarbonate and carbonate in water.   This can confuse people as, in this context, “alkalinity” has little to do with the pH of the water itself and, indeed, water that is alkaline (i.e. has pH > 7) does not have to have a high alkalinity.   For now, just accept that low alkalinity water has little bicarbonate relative to dissolved carbon dioxide, whilst high alkalinity water has mostly bicarbonate and relatively little dissolved carbon dioxide.   In practice, alkalinity is a good indicator of the geology underlying the catchment from which a sample was collected, with low values associated regions of hard rocks (such as the Ordovician granites in Ennerdale’s catchment) and high values particularly associated with limestone and chalk.

I’ve spent a quarter of a century trying to understand how diatoms react to pollution and one of the surprising by-products of those studies is the realisation that alkalinity is just as important as pollution in determining the diatoms that are found at a site.   This is the case for most groups of freshwater organisms, but the scale of the effect on diatoms is particularly strong, as the graph below indicates.

Relationship between alkalinity and the average TDI at 430 UK river sites (r2 = 0.52).   The blue line shows a regression line fitted to the 10th percentile using the “quantreg” package in R. 

This graph shows a data from 430 UK sites where at least one TDI (Trophic Diatom Index) measurement was available, with alkalinity plotted on a logarithmic scale on the x axis and the TDI on the y axis.   There is a clear relationship between the two variables with about half of all the variation in the TDI accounted for by alkalinity (i.e. geology) alone, and this is manifest, in particular, by alkalinity setting a “floor” below which the TDI is unlikely to fall at any given alkalinity value (indicated by the blue line).  The red line, then, indicates the variation in TDI due to other factors, mostly human pressures such as eutrophication.

The blue line, in other words, indicates the best that the TDI is likely to be at any given alkalinity and if we were to look at samples which plot close to this line we will see quite marked differences in the diatoms as we moved from the low end towards the high.   When alkalinity is low, we will find Tabellaria flocculosa, some Brachysira species (e.g. B. neoexilis) and maybe a few Eunotia species too.  As alkalinity increases, so the diatom assemblage will be dominated by Achnanthidium minutissimum and relatives, but we will also see Hannaea arcus and Fragilaria gracilis, amongst other species.   We will see some Achnanthidium and Fragilaria species at low alkalinity, too, but either different to those at moderate to high alkalinity or in lower numbers.

There are several possible explanations for this but Brian Moss, in a classic paper from 1972, suggested that the availability of dissolved carbon dioxide was a major factor.  The “soft water” species, in other words, were better adapted to life without bicarbonate but were out-competed in moderate and hard water where the supply of bicarbonate was greater.   Very roughly, this switch from domination by free carbon dioxide users to bicarbonate users occurs at no more than 20 mg L-1 CaCO3.   There is more going on than just the supply of inorganic carbon: low alkalinity water is more likely to have low pH, which brings a separate set of challenges to aquatic organisms, and very high alkalinity water is often associated with productive agricultural areas.  This means that effects at both ends of the scale may be hard to separate completely from human pressures.  However, the broad story that emerges is that hard rock, in ecology as in music, is not to everyone’s taste.

Reference

Moss B. (1973).  The influence of environmental factors on the distribution of freshwater algae: an experimental study. II. The role of pH and the carbon-dioxide-bicarbonate system.  Journal of Ecology 61: 157-177.

Concentrating on carbon …

On the other side of Ennerdale Water I could see plenty more submerged stones, all covered with green filaments but these belonged to different genera to those that I wrote about in my previous post.   Both are genera that we have met previously – Mougeotia, which has flat, plate-like chloroplasts which rotate around a central axis in order to control its rate of photosynthesis – and Spirogyra.  When light levels are low, Mougeotia’s flat chloroplast is perpendicular to the light in order to capture as much energy as possible, but in bright light it rotates so that the plate is parallel to the direction of the light, in order to slow the photosynthesis mechanism down and prevent internal damage (see “Good vibrations under the Suffolk sun” for another approach to this problem).

However, too much sunlight is the least of an alga’s problems in the Lake District.   This post looks at a different challenge facing freshwater algae and our starting point is the spherical nodules, “pyrenoids”, that you should be able to see on the chloroplasts of both Mougeotia and Spirogyra in the images below.   Photosynthesis involves a reaction between water and carbon dioxide to make simple sugars (turning fizzy mineral water into “pop”, in other words).   A submerged alga does not have a problem obtaining the water it needs, but what about carbon dioxide?   Gases are not very soluble in water, so this presents a much bigger problem to the algae.   Explaining why also presents a big problem to a blogger who conscientiously avoided physics and chemistry from age 16 onwards.  Here goes …

Mougeotia from the littoral zone of Ennerdale Water, April 2017.  Scale bar: 20 micrometres (= 50th of a millimetre).

The concentration of a gas in a liquid depends upon the concentration of that gas in the surrounding atmosphere.   As far as we know (and this is still an area of contention amongst geologists), concentrations of carbon dioxide in the deep past were much higher than they are today, in part because there were no land plants to suck it out of the atmosphere for their own photosynthesis.  So the earliest photosynthetic bacteria and, subsequently, algae, lived in water that also had higher concentrations of carbon dioxide.   As land plants spread, so the carbon dioxide concentration in the atmosphere dropped as they used it to fuel their own growth.  As a result, carbon dioxide concentrations in the water also dropped, thus depriving the algae of an essential raw material for photosynthesis.

However, carbon dioxide is not the only source of carbon available to aquatic organisms.   There is also carbon in many rocks, limestone in particular, and this can mineralise to carbonate and bicarbonate ions dissolved in the water.  Aquatic plants can get hold of this alternative carbon supply via an enzyme called carbonic anhydrase.   By concentrating the carbonic anhydrase activity in a small area of the chloroplast, the algal cell can boost the activity of the Rubisco enzyme (which evolved to function at a higher concentration of carbon dioxide).   This whole process is one of a number of forms of “carbon concentrating mechanism” that plants use to turbocharge their photosynthetic engines (see “CAM, CAM, CAM …” on my wife’s blog for more about a terrestrial version of this).

A two-chloroplast form of Spirogyra from the littoral zone of Ennerdale Water, April 2017.  Scale bar: 20 micrometres (= 50th of a millimetre).

Pyrenoids are widespread amongst algae, though a few groups (notably red algae and most chrysophytes) lack them.   Cyanobacteria (blue-green algae) use an organelle called a “carboxysome” for a similar purpose.   The only group of land plants with pyrenoids are the hornworts, relatives of mosses and liverworts.   About half of all hornworts have pyrenoids and a recent study has suggested that the ability to form pyrenoids has evolved up to five times in this group during their evolution.   The appearance of pyrenoids in distinct evolutionary lineages of algae also suggests that there may have been several evolutionary events that precipitated their formation.  And, it is important to stress, some algae which lack pyrenoids have alternative methods of concentrating carbon to enhance Rubisco activity.

So let us end where we started: in the littoral zone of Ennerdale Water on an April morning, gazing at a fine “fur” of filamentous algae clinging to the submerged rocks.   Back in October last year, I talked about how Ennerdale fitted into a pattern of increasing productivity of Cumbrian lakes first noticed by Pearsall in the early part of the 20th century (see “The power of rock …”).   Now we can start to understand that pattern in terms of basic biochemical processes: getting enough carbon from a combination of atmospheric carbon dioxide and the surrounding rocks for Rubisco and the other photosynthetic enzymes to convert to sugars.   In Ennerdale Water, one of the least productive of the Cumbrian lakes, we can see these algae during the winter and spring because the amount of biomass that those biochemical reactions produces is still just ahead of the amount that grazing invertebrates such as midge larvae can remove.  In a month or so, the grazers will have caught up and the rock surfaces will be, to the naked eye at least, bare.

Rubisco is the enzyme whose gene, rbcL, we use for molecular barcoding, subject of many recent posts (see “When a picture is worth a thousand base pairs …”).  My early desire to avoid physics and chemistry at school translated into as little biochemistry as possible whilst an undergraduate and, over the past few-years, I’ve developed a frantic urge to catch-up on all that I missed.   Just wish that those lectures explaining the Calvin cycle had been a little less … tedious …

References

Giordano, M., Beardall, J. & Raven, J.A. (2005).  CO2 concentrating mechanisms in algae: mechanisms, environmental modulation, and evolution.   Annual Review of Plant Biology 56: 99-131.

Villareal, J.C. & Renner, S.S. (2012).  Hornwort pyrenoids, carbon-concentrating structures, evolved and were lost at least five times during the last 100 million years.  Proceedings of the National Academy  of Science of the USA 109: 18873-18878.

 

Spring in Ennerdale …

My latest trip to Ennerdale Water, in the Lake District, has yielded its usual crop of spectacular views and intriguing questions (see “Reflections from Ennerdale’s far side”).   This time, my curiosity was piqued by lush growths of green algae at several locations around the lake shore.  The knee-jerk reaction to such growths is that they indicate nutrient enrichment but I am always sceptical of this explanation, as lush green growth are a common sight in spring (see “The intricate ecology of green slime …”) and these often disappear within a month or two of appearing.

Two points of interest: first, the lake seems to be lagging behind the River Ehen, which flows out of Ennerdale Water.   We often see these lush growths of algae on the river bed in winter but by this time of year the mass of algae there is lower than we saw in the lake littoral.   Second, the lake bed looks far worse (see photograph below, from the north-west corner of the lake) than the actual biomass suggests.

Filamentous algae (Ulothrix aequalis) smothering cobble-sized stones in the littoral zone of Ennerdale Water, April 2017.

Under the microscope, this revealed itself to be unbranched filaments of a green algae, whose cells each contained a single band-shaped chloroplast lapping around most of the perimeter.   This is Ulothrix aequalis, a relative of Ulothrix zonata, which I wrote about a few times last year (see link above).   Like U. zonata, this species is very slimy to the touch and, I suspect, the payload of mucilage adds to the buoyancy of the organism and means that we look down on a fine mesh of filaments which trap light and add to the unsightly appearance of the lake bed at this point.   That this part of the lake shore is close to a tributary stream draining some improved pasture triggers some suspicions of agricultural run-off fuelling the algal growths but, looking back at my notebook, I see that the lake bed was almost clear of green algae when we visited this location in July last year.  I suspect that a return visit this summer would also show a clean river bed.  Appearances can often be misleading (see “The camera never lies?”).

Ulothrix aequalis from the littoral zone of Ennerdale Water, April 2017.   Scale bar: 10 micrometres (= 1/100th of a millimetre).

This was not the only site that we visited that had conspicuous growths of green algae, though the mass of algae was greatest here.   All of the sites at the western end had these growths (see “A lake of two halves” for an explanation of geological differences within the lake) but, curiously, the genus of alga that we found differed from site to site.   In addition to Ulothrix aequalis in this corner of the lake, we found Mougeotia on the south side and Spirogyra close to the outfall.  This diversity of forms is, itself, intriguing, and I have never read a convincing explanation of what environmental conditions favours each of these genera.   I see both spatial and temporal patterns of green algae in the River Ehen too and, again, there is no satisfactory explanation for why the species I find can differ along short distances of the river and between monthly visits.

The Mougeotia and Spirogyra both have another story to tell, but that will have to wait for the next post …