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dc.contributor.author Saravia, Leonardo Ariel
dc.contributor.author Giorgi, Adonis
dc.contributor.author Momo, Fernando
dc.date.accessioned 2012-10-09T17:49:44Z
dc.date.available 2012-10-09T17:49:44Z
dc.date.issued 2012-06-25
dc.identifier doi:10.5061/dryad.61cj4
dc.identifier.citation Saravia LA, Giorgi A, Momo F (2012) Multifractal growth in periphyton communities. Oikos 121(11): 1810–1820.
dc.identifier.uri http://hdl.handle.net/10255/dryad.43067
dc.description Periphyton is an aquatic community composed by algae, bacteria, fungi, and other microorganisms that can develop a complex architecture comparable to tropical forests. We analyzed the spatial pattern of a periphyton community along a succession developed in experimental tanks. Our aim was to identify regularities that may help us to explain the patchiness of this community. Therefore, we estimated the spatial pattern of periphyton biomass using a non-destructive image analysis technique to obtain a temporal series of the spatial distribution. These were analyzed using multifractal techniques. Multifractals are analogous to fractals but they look at the geometry of quantities instead of the geometry of pattern. To use these techniques the object of study must show scale invariance and then can be characterized by a spectra of fractal dimensions. Self-organization describes the evolution of complex structures that emerge spontaneously driven internally by variations of the system itself. The spatial distribution of biomass showed scale invariance at all stages of succession and as the periphyton developed in a homogeneous landscape, in a demonstration of self-organized behavior. Self-organization to a critical state (SOC) is presented in the complex systems literature as a general explanation for scale invariance in nature. SOC requires a mechanism where the history of past events in a place influence the actual dynamics, this was termed ecological memory. The scale invariance was found from the very beginning of the succession thus self-organized criticality is a very improbable explanation for the pattern because there would be not enough time for the build-up of ecological memory. Positive interactions between algae and bacteria, and the existence of different spatial scales of colonization and growth are the likely causes of this pattern. Our work is a demonstration of how large scale patterns emerge from local biotic interactions.
dc.relation.haspart doi:10.5061/dryad.61cj4/1
dc.relation.haspart doi:10.5061/dryad.61cj4/2
dc.relation.isreferencedby doi:10.1111/j.1600-0706.2011.20423.x
dc.subject Multifractal
dc.subject periphyton
dc.subject succession
dc.subject spatial pattern
dc.subject chl-a
dc.subject biomass
dc.title Data from: Multifractal growth in periphyton communities
dc.type Article *
dc.contributor.correspondingAuthor Saravia, Leonardo Ariel
prism.publicationName Oikos

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Title Periphyton Spatial Biomass distribution
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Description Tiff Images of biomass spatial distribution of periphyton colonization at different times. The brigthness of each pixel represent the chlorophyl-a content estimated using the method described in: Saravia LA, Giorgi A, Momo FR (1999) A photographic method for estimating chlorophyll in periphyton on artificial substrata. Aquatic Ecology 33: 325–330. The initial letter of the file name correspond to the different tanks used in the experiment, then the number of the plate, and finally the date YYMMDD.
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Title Output of multifractal analysis software mfSBA
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Description This is the output of multifractal analysis applied to each image The software used mfSBA is available at: <https://github.com/lsaravia/mfsba>. The output are ASCII files pasted in an spreadsheet. The output for each image is labeled as the file name. The columns named R- are the coefficient of determination. The columns named SD are the standard deviations. Tau is the slope of log(Zq) vs log(epsilon) and is used to calculate Dq.
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