Ergebnis für URL: http://tomrevilla.sdf.org/research.html [1]Home [2]Contact [3]Research [4]Publications [5]Links
Current research
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Phenological mismatches between resources and consumers
Global warming is causing the [6]phenology of many species to advance towards
earlier dates, but at different rates. Thus, some interactions can weaken and
others can intensify. Consumer-resource interactions involve feedbacks that can
affect the abundances of the resources (top-down effects) and the consumers
(bottom-up effects). I considered these feedbacks in a model where consumers and
resources recruit during specific seasons of the year, interact, and produce the
propagules (seed and/or eggs) that will recruit in the next year.
[FIG: Phenology]
If consumers recruit too early or too late relative to the resources, sure they
will go extinct. If they recruit very close in time with the resources, they
avoid extinction, but they will not attain high densities. This is because
increased temporal overlap between consumers and resources causes
overexploitation and scarcity in future times.
[FIG: Abundance vs mismatch]
Higher consumer abundances occur when recruitment happens few weeks before or
after the resource. This result also applies, with appropriate modifications, in
community modules of three species. For example, two consumers can coexist with a
single common resource if one recruits before, and the other recruits after the
resource, but the earliest recruiter becomes more numerous because it can eat
during more days. Thus, predictions about future consequences of phenological
changes due climate change must consider top-down controls in addition to
seasonal availability of food (bottom-up control).
Phenological shifts and habitat destruction in mutualistic networks
Phenology is an important structuring factor of [7]mutualistic networks. There is
concern that global climate change will disrupt the temporal schedules of
interactions between plants and their pollinators and/or seed dispersers, making
ecological communities more vulnerable to other threats, for example habitat
destruction or fragmentation. We developed a spatially-explicit meta-community
model to explore the effects of habitat destruction and phenological changes on
the mutualistic networks.
Habitat destruction causes the gradual erosion of local diversity, leading to
global meta-community collapses. Restoration of meta-communities, by recovering
destroyed sites back to habitable, can be difficult due to [8]hysteresis.
[FIG: Diversity vs phenological shift and site destruction]
Shifts in phenologies (e.g. 10, 20, 30 days earlier, on average) can weaken
mutualistic interactions, enabling meta-community collapses by lower amounts of
habitat destruction. We found that the combined effects of phenological shifts
and habitat destruction can re-inforce each other synergistically, i.e. their
joint detrimental effects are larger than the sum of their effects.
Effects of population structure on mutualisms
In many systems mutualism occur only during very specific life-stages, such as
the adult phase of an insect. We developed a plant-pollinator model where the
pollinator is divided into adults and larva. By consuming nectar, the adults give
pollination services to the plants. Changes in the life-cycle of the insect,
caused by climate change or pesticides for example, will alter the balance
between servicing adults and useless larvae, affecting the quality of the service
for the plants.
This model predicts that large plant abundances are positively related with large
adult to larva ratios, and that for plants that strongly depend on pollination
services, decreases in adult:larva ratios could lead to a sudden drop in plant
abundances.
[FIG: Plant abundance vs adult:larva ratio]
If other life-stages are actually harmful, such as herbivorous larvae, changes in
population structure can even change the net sign of the interaction. To
demonstrate this, we considered a model where the larvae consume the tissues of
the same plant pollinated by the adults. This model can develop oscillations like
many predator-prey models. An important detail of these oscillations is that the
plant population can cycle above and below its carrying capacity (in some cases
entirely above) thanks to the positive effects of pollination. Essentially, the
dynamics can display a periodic alternances between antagonism (larvae in
control) and mutualism (adults in control).
[FIG: Plant-pollinator oscillations]
Functional and numerical responses in mutualistic interactions
The exchange of resources such as nectar or nutrients, or services such as
pollination, requires the existence of structures or organs, such as fruits and
flowers. These are usually short lived compared with dynamics of interacting
populations. We considered these structures in an interaction model.
[FIG: Flower dynamics and pollination]
Since flowers or fruits are ephemeral, we consider that their numbers attain a
steady state very rapidly. This allows a mechanistic derivation of functional and
numerical responses in plants and pollinators. For the plants for example, the
"handling time" of a plant turns out to be proportional to the amount of time
required to produce a new flower.
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Mutualism, competition and adaptation
Predators can promote prey coexistence by preying more on abundant preys and less
on rare preys. In contrast, if pollinators tend to pollinate the most common
plants, this can make common plants more common and rare plants more rare. I am
investigating this kind of mutualistic driven apparent competition using simple
community modules, e.g. 2 plants + 2 pollinators.
[FIG: Plant -- Pollinator module]
Using optimal foraging theory, we can understand better how adaptation in
pollinators and seed dispersers can affect plant diversity.
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Past research
I investigated topics such as resource competition between juvenile and adult
stages and the coexistence and stability conditions under intra-guild predation.
During my doctorate I worked on the dynamics of multispecies resource
competition. I also did research that concerns human health, like the
characterization of the mortality of disease vectors, or the hypothetical use of
viruses against other viruses.
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Collaborators/Colleagues
* [9]Jesus Alberto León
* [10]Diego Rodríguez
* [11]Maria-Josefina Hernández
* [12]Harold Perez de Vladar
* [13]Luis Fernando Chaves
* [14]Franz Weissing
* [15]Francisco Encinas-Viso
* [16]Rampal Etienne
* [17]Gisela García-Ramos
* [18]Ciska Veen
* [19]Michel Loreau
* [20]Vlastimil Krivan
____________________________________________________________________________
[21]Home [22]Contact [23]Research [24]Publications [25]Links
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References
1. http://tomrevilla.sdf.org/index.html
2. http://tomrevilla.sdf.org/contact.html
3. http://tomrevilla.sdf.org/research.html
4. http://tomrevilla.sdf.org/pubs.html
5. http://tomrevilla.sdf.org/links.html
6. http://www.thefreedictionary.com/phenology
7. http://www.thefreedictionary.com/mutualism
8. http://en.wikipedia.org/wiki/Hysteresis
9. https://www.meer.com/en/63965-jesus-alberto-leon
10. https://www.researchgate.net/scientific-contributions/Diego-J-Rodriguez-2032851793
11. https://www.researchgate.net/profile/Mj-Hernandez
12. https://hpvladar.wordpress.com/
13. https://orcid.org/0000-0002-5301-2764
14. http://www.rug.nl/staff/f.j.weissing/
15. https://people.csiro.au/E/F/Francisco-Encinas-Viso
16. http://www.rug.nl/staff/r.s.etienne/
17. https://www.researchgate.net/scientific-contributions/Gisela-Garcia-Ramos-37933070
18. http://www.linkedin.com/pub/ciska-veen/25/49b/852
19. https://sete-moulis-cnrs.fr/fr/recherches/ctmb/equipe/item/179-loreau-michel
20. http://mathbio.prf.jcu.cz/en/krivan/
21. http://tomrevilla.sdf.org/index.html
22. http://tomrevilla.sdf.org/contact.html
23. http://tomrevilla.sdf.org/research.html
24. http://tomrevilla.sdf.org/pubs.html
25. http://tomrevilla.sdf.org/links.html
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