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原文連結
論文資訊
- 類型：已發表論文
- 日期：2009
摘要
A major challenge in 生態學 is forecasting the effects of 物種' extinctions, a pressing problem given current human impacts on the planet. Consequences of 物種 losses such as secondary extinctions are difficult to forecast because 物種 are not isolated, but interact instead in a complex 網絡 of ecological relationships. Because of their mutual dependence, the loss of a single 物種 can cascade in multiple coextinctions. Here we show that an algorithm adapted from the one Google uses to rank web-pages can order 物種 according to their importance for coextinctions, providing the sequence of losses that results in the fastest collapse of the 網絡. Moreover, we use the algorithm to bridge the gap between qualitative (who eats whom) and quantitative (at what rate) descriptions of 食物網s. We show that our simple al
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