This blog is set out slightly differently than the usual
post. The paper I’m basing this off is a review and is written in three
distinct blocks so I have imitated this in my post. Enjoy!
Plankton is one of the many groups of species which base
their seasonal cycles on changes in their environment. These phenological
changes could cause disruption in the local ecosystems due to the increasing
temperatures especially if the species with changing timings are relied upon or
rely on a different species. Climate change driven phenological changes in both
Phytoplankton and zooplankton’s population has been reported in freshwater and marine
ecosystems. This paper looks at the evidence, reviews what these changes could
mean for the plankton communities and suggests what future studies should focus
on.
What is the current
evidence for the trophic mismatching in the plankton?
The authors looked at a very specific collection of papers
by searching through ISI Web of Knowledge. By only looking at the papers studying
holoplankton, and no transient life cycles, the number of papers reviewed
reduced significantly. The authors then reduced the number studies further by
removing those which did not show a significant difference between the two levels and the measures of species
performance or abundance must be directly linked to the degree of synchrony
between trophic levels. Many of these papers focused on the spring
phytoplankton peak and zooplankton grazers (mostly represented as diatoms or
estimates of the phytoplankton biomass). They found that the number of studies
has not provided for trophic mismatching, and so does not support trophic
mismatch within plankton.
There was very little
field evidence and it was biased towards the spring events and phytoplankton
grazers, especially Daphnia. There
are also few studies directly matching abundance or performance to phonological
mismatching. The authors suggest a more specific and dedicated research to
measure the importance, identifying the conditions that may promote/negate the
effects and to demonstrate a link between mismatching and population/ ecosystem
effects.
What does trophic
mismatching mean for the plankton?
Current understanding of plankton seasonal succession states
that there’s feedback between the zooplankton and phytoplankton, any factor
influencing the rates of population affects the balance between these two populations.
The plankton-cladoceran interaction forms the basis of many studies which
increase rapidly in response to the seasonal increase of phytoplankton. Rapid
seasonal increases in population size/ and fecundity has been observed, in
response to seasonal increases in response to the available phytoplankton
recourse. This suggests that to some extent the seasonal timing of the
zooplankton population development will be dependent on food recourses. For the
grazer’s population increase, the phytoplankton’s abundance needs to exceed the
threshold amount, which is the point at which there is enough food to allow the
zooplankton to reproduce. In extreme cases resource driven increases in grazer
populations could feed-back on to their resources and suppress the
phytoplankton populations, and lead to the collapse bloom. Modellign studies suggest that if the temperature continues to
change, the consumer-resource cycle could alter, and thus influencing
replication, development and grazing.
Future priorities for studies of trophic mismatch in plankton:
The phenology of resource limitation:
there are a couple of assumptions there are that resource limitation prevents
reproduction this needs evidence. Food threshold needs to be found, laboratory
studies are critical for this There are currently discrepancies in the data between
about whether Daphina as the
herbivore is the only factor affecting the populations, or it has been
suggested that the Daphnia population
growth may also be partly supported by grazing. Important to state what food resources
are and are used.
Food chains to food webs:
the studies reviewed adopted the linear food chain
paradigm. However, to understand the consequences mismatching future studies
should adopt a wider view of the community, adopt more of a food web based
approach. For example, the seasonal
period of abundance of the phytoplankton consumed by cyclopoid nauplii might be
affected by strong grazing pressure from co-existing Daphnia.
The complexity of copepods: very few studies
directly examine the potential mismatching between copepods and their food resources.
To truly understand
mismatching in copepods, it would be necessary to define multiple developmental
stage-dependent food resource windows and examine shifts in their seasonality
over the longer term. As a further complexity, the
life cycles of copepods may also be interrupted by quiescence and diapause,
which may cause lags between resource availability and copepod development.
Conclusions
The authors summarised
that although trophic mismatch has been proposed as a mechanism in which climate
change could affect, there is currently limited evidence for this occurrence
and its impacts on ecosystems. Since the evidence is also biased towards spring
blooms and a small number of organism groups, further studies should address
this. The authors believe that by
recognising and incorporating the that exist between population development at
different trophic levels and the context in which the changes occur. I, however, believe that a wider range of
papers needs to be examined.
Thackeray, Stephen J. "Mismatch revisited: what is trophic mismatching from the perspective of the plankton?." Journal of plankton research 34.12 (2012): 1001-1010.
http://plankt.oxfordjournals.org/content/34/12/1001.short
Hi Sam, interesting read, thanks for this... definitely food for thought (pun intended!).
ReplyDeleteI agree with your comments on that more papers need to be examined as this sounds like a very intrinsic, and complicated field. Many variables are at play here that seems to be (quite frankly) ignored, perhaps for simplicity reasons. There are many you have mentioned, yet perhaps one of the most important factors that has been missed is stochasticity? Granted, how can this be measured if the occurrence is low, maybe not at all? Additional to this, an underlying understanding of life histories, fecundity/mortality rates, immigration/emigration ratios etc of any organism affected by climate change needs to be established before integrating models trophic mismatching.
Hi Dean,
DeleteYeah, I agree with all of your comments. The authors seem to have valued simplicity over many of the factors that could be influencing potential mismatching. Although some factors will have to be put to one side, they shouldn't be outright ignored. When I first started to read this paper I was quite interested into how they would use papers to connect populations and the suggestions that they could have towards future studies. My interest didn’t last long. I think that they should have included more papers, or changed their aims because the means did not fulfil the aims stated.