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University of Groningen

Ecology of benthic microalgae Engel, Friederike Gesine

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

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Publication date: 2018

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Engel, F. G. (2018). Ecology of benthic microalgae. University of Groningen.

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Orbiting Earth in the spaceship, I saw how beautiful our planet is.

People, let us preserve and increase this beauty, Not destroy it!

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Chapter 6

Discussion

Friederike G. Engel

Biodiversity is fundamental for the functioning of this planet (Hooper et al. 2005,

2012, Cardinale et al. 2012) and thus for the survival of humanity. Unfortunately,

we are experiencing a global biodiversity crisis that could lead to mass extinction

rate and magnitude within the next centuries (Barnosky et al. 2011, IPCC 2014).

Surprisingly, the global biodiversity crisis does not appear to lead to species loss

on the local scale (Vellend et al. 2013, Dornelas et al. 2014, Elahi et al. 2015).

This is probably due to range expansions and invasions that bring species into

novel territories (Parmesan and Yohe 2003, Wonham and Carlton 2005, Parmesan

2006, Byrnes et al. 2007, Dornelas et al. 2014). However, changes in species

composition, including dominance patterns, are observed on global and local

scales (Hillebrand et al. 2008, 2017, Magurran 2016, Jones et al. 2017). These

changes most likely influence ecosystem functions in ways comparable to the

complete loss of species. Therefore, it is important to consider both species

richness and species composition when studying the consequences of biodiversity

loss. Furthermore, today there is a general call to increase our effort to study

biodiversity effects on ecosystem functioning in more natural settings, to promote

our understanding of biodiversity effects in real-world ecosystems (Gamfeldt et

al. 2008, Duffy 2009, Brose and Hillebrand 2016). In practice this means making

experimental set-ups more complex by for example incorporating heterogeneity

and natural processes, and thus make them more ecologically relevant. A key

improvement needed to promote realism in biodiversity ecosystem function

research is to include dispersal in experimental set-ups, to be able to study both

local and regional processes. In addition, using species assemblages with natural

compositions gives more informative results for real ecosystems than using

artificially created species assemblages.

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DISCUSSION

Unicellular algae are an integral part of the functioning of marine ecosystems, as

they build the base of many food webs and turn carbon dioxide into oxygen via

photosynthesis. Notably, the pelagic unicellular algae (phytoplankton) contribute

roughly 50% of global primary production (Field et al. 1998), to which the benthic

microalgae additionally contribute. In intertidal areas, such as the Wadden Sea,

benthic microalgae are dominated by diatoms and their contribution to total

primary production can exceed that of the phytoplankton in overlying waters

(Admiraal et al. 1984, Underwood and Kromkamp 1999). Thus, in these areas,

they are the main source of primary production and fuel intertidal food webs.

Benthic microalgae ecology is complex and many scientists have spent entire

careers investigating these organisms. These studies have revealed that species

composition, abundance, and biomass production of benthic microalgae on

intertidal flats is determined by a multitude of factors, including temperature,

nutrient availability, grazing, salinity, inundation, wave action, and sediment

grain size (MacIntyre et al. 1996, Underwood and Kromkamp 1999, Sahan et al.

2007, Weerman et al. 2011a, 2011b, Scholz and Liebezeit 2012). Yet, there is still

a lack of information on general ecological principals in benthic microalgae,

because few ecologists use these organisms as model systems in their

experiments. Due to their importance in coastal areas and their lifestyle

characteristics (e.g. short generation times, ability to reposition themselves

actively), however, benthic microalgae, especially diatoms, are ideal study

organisms for ecological laboratory and field experiments.

For the work in this thesis, I conducted field and laboratory experiments to

investigate the impacts of different climate change stressors on biodiversity and

ecosystem functioning of benthic microalgae. In my experiments, I considered

multiple spatial (i.e. local and regional communities via dispersal) and temporal

(i.e. multiple sampling points) scales, as well as multiple components of a

community (i.e. autotrophic microalgae and heterotrophic bacteria), used natural

community assemblages, and exposed the communities to natural stressors (i.e.

warming and mechanical disturbance). With my research, I aimed to shed light on

the following general questions: (1) Do potential climate change stressors

influence biodiversity and ecosystem functioning of benthic microalgae? (2)

Which ecological processes determine the response of microalgae to stressors

throughout community succession? (3) Does increasing the realism of ecological

experiments alter the response of benthic microalgae to simulated climate change

stressors? On the next pages, I summarize the main findings of my thesis.

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CHAPTER 6

A. Ecosystem engineers promote benthic microalgae, but the strength of the

effect depends on scale.

In Chapter 2, I described results of a study that combined a field experiment with

transect measurements on the intertidal flat. I found that mussel beds increase

biomass production and primary productivity of benthic microalgae living in the

proximity of these structures (Fig. 6.1). In addition, the results showed that scale

is important for this function: large, established mussel beds that have existed for

multiple years had a greater positive effect on benthic microalgae than small-scale

plots that existed for only a few months. Thus, both spatial and temporal scales

are important for the facilitating effect of ecosystem engineers on primary

producers.

Fig. 6.1 Ecosystem engineers promote benthic microalgae biomass and productivity

(Chapter 2). A natural mussel bed promotes microalgae biomass and productivity in its vicinity. The addition of mussels to small-scale experimental plots also promotes microalgae biomass, however, the effect is smaller than that of the natural mussel bed.

These results exemplify the importance of ecosystem engineers for the

functioning of intertidal food webs and productivity of benthic microalgae. With

their physical structure and biological provisioning, ecosystem engineers strongly

influence the food-web dynamics and can greatly increase primary production in

intertidal areas.

Furthermore, the results have implications for reef restoration and protection, as

they demonstrate that reef size matters for the facilitation effect of ecosystem

engineers. In real ecosystems, this means that it may be more beneficial to restore

or protect a larger cohesive reef in one location, compared to several smaller ones

in multiple locations.

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DISCUSSION

B. The relative importance of local community composition and dispersal for

biodiversity and ecosystem functioning depends on successional time.

In Chapter 3, I observed that the importance of different factors influencing

microalgae diversity, biomass, and the ratio of bacteria to microalgae change with

successional time. In a laboratory experiment, I discovered that initial local

community composition was most important in the beginning of successional

time, whereas dispersal became more important towards the end of the experiment

(Fig. 6.2).

Fig. 6.2 The effect size of initial community composition (dark dotted line) and dispersal

(light solid line) changes with successional time (Chapter 3). In the beginning of community succession, initial species composition has the strongest effect size, but by the end of community succession, dispersal has the strongest effect size.

This experiment shows that the temporal scale is important in ecological studies,

because different processes dominate at different times throughout community

succession. By only measuring the responses at one timepoint, important

information can be missed and results can be misleading. Of course, like in all

experiments, usually there is a logistic limitation for obtaining more time

replicates. If it is not possible to take measurements at multiple timepoints, we

should at least be aware that these results only capture a snap shot of this

community and should not be generalized. Creating experiments that represent

real-world ecosystems better includes being conscious about community

succession and choosing sampling times deliberately.

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CHAPTER 6

C. Dispersal maintains ecosystem functioning of microalgae by preventing

bacterial dominance.

In Chapter 3, I also discovered that dispersal can maintain ecosystem functioning

in a metacommunity by preventing heterotrophic bacteria from gaining

competitive advantage over microalgae. Dispersal supplied a strong microalgae

competitor to all local patches which mitigated increasing bacterial superiority

and maintained high algae biomass. At the same time, within microalgae,

dispersal decreased diversity by spreading the superior microalgae species into all

local patches where it became dominant (Fig. 6.3).

These results exemplify the importance of connectivity (i.e. dispersal) for

community functioning. Isolated algae communities were quickly taken over by

bacteria and had reduced ecosystem functioning. Whereas with dispersal, a

superior competitor could colonize all local patches, successfully compete with

the bacteria and maintain ecosystem functioning. This has implications for

conservation: it is important to protect biodiversity and connected habitats to

ensure that species best suited to certain conditions can reach the habitat.

The results also show that to mechanistically understand community structure and

functioning, we need to look at how multiple components of communities are

affected by the community structuring drivers (in this case dispersal) and how this

in turn changes interactions among them. In this case, I had a simplified system

of only two competing groups (i.e. autotrophic microalgae and heterotrophic

bacteria), but in nature, there will be a multitude more of interactions among the

levels in a community that can influence overall ecosystem functioning, which

need to be considered in ecological experiments.

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DISCUSSION

Fig. 6.3 Dispersal hinders bacteria from outcompeting the microalgae and thus

maintains ecosystem functioning of the microalgae (Chapter 3). Within microalgae, dispersal increases dominance of a superior species that got spread into all local patches. However, between microalgae and bacteria, dispersal weakens the dominance of bacteria by spreading a strong microalgae competitor and thus prevents bacterial dominance.

D. Regional warming increases species turnover, but the effect is only visible

when considering relevant scales.

In Chapter 4, I described a laboratory experiment with benthic microalgae

metacommunities, in which I found that warming increases regional species

turnover. One heat-tolerant species was promoted by warming and then spread by

dispersal, until it was dominant in all local communities within a metacommunity.

The effects on turnover on the local scale strongly depended on initial community

composition and were not uniform within the different local communities.

This experiment illustrates the need for considering multiple spatial scales and

connectivity when analyzing the responses of ecosystems to environmental

factors (here related to climate change). Due to opposing responses in different

local patches, there might not be a noticeable overall effect on smaller scales, but

when looking at patches in the metacommunity context, disturbance events such

as a heatwave might have strong effects. Analyzing both local and regional

community processes in ecological experiments creates more realistic scenarios

that are closer to real-world ecosystems compared to experiments that only

consider local patches of habitats.

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CHAPTER 6

E. Decreased biodiversity in response to warming may not be reflected by

species loss.

The results of Chapter 4, also provide an example of how the response of species

diversity and species richness to changing conditions can be fundamentally

decoupled on ecological time scales. In the experiment both warming and

dispersal destabilized community composition and decreased species diversity,

although the number of species in the metacommunity was not decreased, even

after ca 15 generations (Fig. 6.4).

Fig. 6.4 Warming and dispersal lead to the loss of regional biodiversity, but this is not

reflected in species richness (Chapter 4). In the isolated, non-heated metacommunity, dispersal-limitation leads to a decrease in species richness (dark gray solid line) over time, but Shannon diversity (light gray dotted line) remains constant. With dispersal and warming, Shannon diversity in the metacommunity decreases due to spread and increasing dominance of a heat-tolerant species, but species richness remains constant.

This has important implications for experimental ecology and conservation

biology. Since negative effects on biodiversity can manifest themselves in a

multitude of ways, it is not sufficient to look at species richness when surveying

ecosystems. We have to consider both the number of species and changes in the

relative abundance of species when discussing the consequences of biodiversity

loss for ecosystems. Experiments that run only for a relatively short time might

not capture negative effects on species richness, because it usually takes much

longer to actually see changes in richness compared to changes in dominance

patterns. The solution to this problem is to analyze changes in the relative

abundance of species in addition to species richness.

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DISCUSSION

F. Initial species composition determines the effect of disturbance on

ecosystem functioning.

In Chapter 5, I presented the results of a

laboratory experiment in which I exposed

locally dissimilar benthic microalgae

communities

to

different

levels

of

disturbance on the metacommunity scale.

In this experiment I discovered that the

response of ecosystem functioning in the

face of disturbance depends on initial

species composition (Fig. 6.5). Initial

species

composition

varied

due

to

differences in habitat conditions, among

them different levels of hydrodynamic

stress, organic matter content, and sediment

grain size. The results suggest that previous

exposure of a local assemblage to

hydrodynamic

stress

weakened

the

negative effect of disturbance on biomass,

mediated by the selected-for community

composition.

These results illustrate that species

identities matter and again highlight the

importance to not only focus on species

richness, but also consider other aspects of biodiversity when discussing

biodiversity loss. Communities that consist of native species adapt to local

conditions and so are, for example, accustomed to more frequent disturbances of

the sediment. With future disturbances, the community as a whole will probably

have higher resistance and resilience compared to previously sheltered

communities, because their response diversity is geared towards disturbances

already.

Fig. 6.5 Initial species composition

determines the effect of disturbance on biomass (Chapter 5).

Communities that were previously exposed to higher hydrodynamic stress have a higher biomass after repeated disturbance events compared to the previously more sheltered community.

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CHAPTER 6

G. Dispersal does not mitigate negative effects of disturbance on ecosystem

functioning.

In Chapter 5, I did not find support for the

hypothesis that communities connected by

dispersal are better able to cope with

regional

disturbances

than

isolated

communities. There was no significant

difference between biomass in the dispersal

and no-dispersal communities (Fig. 6.6).

These results indicate that dispersal (i.e.

habitat connectivity) may not be a default

solution for maintaining biodiversity in the

face

of

system-wide

disturbances.

Dispersal can potentially be very beneficial

in situations where a local disturbance does

not affect all patches. However, when a

global disturbance event takes place, like in

this study, dispersal may not have a

positive effect on ecosystem functioning.

This is important for conservation efforts

that focus on connectivity or preventing

habitat fragmentation. The quality of the

different local patches connected in metacommunities is crucial. Thus, not only

do we have to make sure that we protect separate habitats that species can disperse

into, but also that after a disturbance event, there are sufficient patches that were

not affected by the disturbance so that species can migrate from undisturbed

patches into the disturbed patches. For global disturbances, such as sea-level rise

or global warming, this is nearly impossible. For more localized disturbances such

as severe storms or precipitation events, this is more attainable.

Fig. 6.6 Dispersal does not

mitigate negative impacts of disturbance in a metacommunity (Chapter 5). There is no difference in biomass of the metacommunities connected by dispersal and the isolated communities.

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DISCUSSION

Concluding Remarks

In this thesis, I demonstrate that it is important to make ecological experiments

more realistic. Simplifying too much leads to skewed results that cannot be

extrapolated to real-world ecosystems. In my experiments, I saw differences in

results depending on the successional time the samples were taken, the scale that

was analyzed (local vs. regional, large vs. small, long-term vs. short-term, within

microalgae vs. microalgae-bacteria), and the measure of biodiversity considered.

Simplified set-ups are important to detect fundamental principles and confirm

theories, but they should be extrapolated to bigger scales cautiously and thus have

limited applicability for real-world problems such as the conservation of actual

habitats. As a consequence, experimental ecologists should persistently increase

the realism of their experiments. This includes turning towards natural

assemblages of species instead of single species or artificial assemblages;

studying multiple components of a community (i.e. autotrophs and heterotrophs);

considering multiple spatial scales, which can be achieved by using dispersal in

the experimental set-up; measuring multiple parts of biodiversity to capture

changes in both species richness and species composition; and measuring

responses at multiple time points throughout community succession, as the

importance of different factors might change with time. Finally, we need to a

larger extent “field-test” laboratory results by field manipulations and natural

sampling campaigns before making conclusions about generality and relevance,

and before making recommendations towards practical conservation. Trade-offs

are inevitable, but constantly striving towards re-creating realistic scenarios will

advance research in experimental ecology.

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CHAPTER 6

Personal Reflection

Every experiment matters, just as every piece added to a puzzle clarifies the

finished picture. The more hands-on data we add to the continuously growing

scientific literature on ecological principals, the better we will be able to

understand, predict, and counteract changes in nature. This will be increasingly

important, as ecosystems on the planet are changing with an unprecedented speed.

Habitats are destroyed, novel habitats are created. Species need to expand their

ranges, populations need to adapt to altered conditions, and individuals will have

to survive new extremes. The evolutionary race is becoming more and more

skewed and fewer species will have a chance of winning it. Even though nature is

difficult to predict and nearly impossible to tame, with experiments we can

increase our understanding of processes and prevent some negative events from

taking place. Cooperation between different disciplines and using multiple

methodological approaches simultaneously become crucial, as all humans only

have this one planet to live on (as of yet). Conclusions derived from experimental

studies and collaborations are not going to solve all the world’s problems, but they

might just tip the scale in the right direction.

Science.

Science is survival.

Science is worth nothing without integrity.

Protect scientific integrity, and humanity has a chance to survive.

Survive.

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Freedom of thought is best promoted by the gradual illumination of men’s minds which follows from the advance of science.

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