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原文連結
論文資訊
- 類型：已發表論文
- 日期：2008
摘要
A central problem in 生態學 is determining the processes that shape the complex 網絡s known as 食物網s formed by 物種 and their feeding relationships. The topology of these 網絡s is a major determinant of ecosystems' dynamics and is ultimately responsible for their responses to human impacts. Several simple models have been proposed for the intricate 食物網s observed in nature. We show that the three main models proposed so far fail to fully replicate the empirical data, and we develop a likelihood- based approach for the direct comparison of alternative models based on the full structure of the 網絡. Results drive a new model that is able to generate all the empirical data sets and to do so with the highest likelihood.
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