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Rainfall and river networks prove accurate predictors of fish biodiversity
Date:5/9/2008

n. This is work not only of practical importance, but [it] also stretches the boundaries of biogeography.

Biodiversity characterizes the number of species within an ecosystem. Biogeography is the study of how biodiversity changes across space and over time.

If because of climate change you have an increase in rainfall, our model can tell you how that will affect biodiversity, said Rodrguez-Iturbe. Or if you have a change in the connectivity of rivers due to human activity -- for example, the building of a dam -- our model can also measure how that will affect the numbers and distributions of species.

River networks act as ecological corridors and as such the model will be useful not just for understanding the biodiversity of fish in rivers but also for understanding such things as the dispersal of seeds or even the spread of cholera. Rodrguez-Iturbe, Bertuzzo and Rinaldo also collaborated on a paper that recently appeared in an American Geophysical Union publication on how river networks affect the spread of cholera epidemics.

Seeds and bacteria are different from fish -- obviously they cant swim upstream, said Rodrguez-Iturbe. But like fish, their distribution is dramatically impacted and controlled by the river network.

In order to construct the model, the researchers created a mathematical representation of river systems that went far beyond simple volume calculations. They drew upon an advanced area of geometry known as fractals.

River networks are examples of fractals, fragmented geometric shapes whose parts are, mathematically speaking, smaller versions of the whole. Fractals occur widely in nature. For example, the branching structure of trees -- from trunk to branch to twig -- are fractals, as are clouds and lightning bolts and snowflakes.

Unlike in a savannah, where wildlife move across an open plain, in a river basin fish have to move through the fragmented space of river networks, which lik
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Contact: Teresa Riordan
triordan@princeton.edu
609-258-9754
Princeton University, Engineering School
Source:Eurekalert  

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Rainfall and river networks prove accurate predictors of fish biodiversity
Rainfall and river networks prove accurate predictors of fish biodiversity
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