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Disentangling ecological complexity at multiple scales| old_uid | 9405 |
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| title | Disentangling ecological complexity at multiple scales |
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| start_date | 2010/12/10 |
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| schedule | 11h |
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| online | no |
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| location_info | grande salle de réunion |
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| summary | I review recent work in my lab on analysis of multiscale patterns and extensions of neutral community modeling to spatial networks and asymmetric communities. I begin presenting work on the wavelet method to characterize non-stationary multiscale patterns. We have applied these methods to montane vegetation patterns and zooplankton dynamics. Wavelets allow separation of patterns into high and low frequency components, but do so locally and are thus appropriate for non-stationary pattern analysis. In the context of vegetation patterns, I demonstrate scale-specific relationships among satellite-derived vegetation information and controlling factors such
as moisture availability and topography. I then show how wavelets can be used to analysis synchrony and compensation in community time series.
Unlike scale-insensitive methods, I find both synchrony and compensation existing simultaneously at different scales in community data. At the whole community level, I demonstrate how external influences can induce synchrony in communities. I will also discuss briefly our work on neutral dynamics in spatial networks. We have shown how topological connectivity influences patterns of alpha and beta diversity across space and time.
These models lead to considerations of what is a meaningful measure of isolation in spatial habitat networks. I will also present our most recent work on an asymmetric community model that contains Hubbell's model in the symmetric limit. This model predicts for example bimodal species abundance distributions. We believe this model could form the basis for a more general theory of metacommunities. |
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| responsibles | Mouquet, Ravigné |
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