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Sep
4
2009
Google-like algorithm pinpoints key species in food web
Online viagra, An algorithm based on Google’s page-ranking system could help scientists identify species whose extinctions will lead to the fastest ecosystem collapse, researchers report in PLoS Computational Biology.
The loss of one species from a food web can trigger more extinctions, but predicting the exact effects can be tricky. Scientists have typically assumed that the most critical species are the ones that have many connections or occupy a central position in the network.
The authors took a different tack. They decided to mimic an algorithm developed by Google, ordering viagra no rx, Köpa viagra, which deems a website important if other important websites link to it. In a food web, comprare viagra sconto, Cheap viagra tablets, the team proposes, a species is important if other important species depend on it.
When tested on published food webs, Koop korting viagra, Osta alennus viagra, the Google-like algorithm was able to find the series of extinctions that caused the quickest collapse in 11 out of 12 cases. In contrast, Idaho ID , Comprar en línea viagra, programs that assigned importance based on the number of connections or centrality couldn’t come up with the right solution. The new algorithm “lays the foundation for a complete analysis of extinction risk in ecosystems, viagra pharmacy, Arizona AZ Ariz. , ” the authors write. – Roberta Kwok
Source: Allesina, αγοράζουν online viagra, Ordering viagra online legally, S., & Pascual, kjøpe viagra online, Cheapest viagra in the world, M. (2009), buy viagra c.o.d.. Jotta viagra verkossa, Googling Food Webs: Can an Eigenvector Measure Species' Importance for Coextinctions. PLoS Computational Biology, buy viagra overnight delivery, Kentucky KY Ky. , 5 (9) DOI: 10.1371/journal.pcbi.1000494
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