Dynamical evolution of ecosystems

被引:94
作者
Azaele, Sandro
Pigolotti, Simone
Banavar, Jayanth R. [1 ]
Maritan, Amos
机构
[1] Penn State Univ, Dept Phys, Davey Lab 104, University Pk, PA 16802 USA
[2] Univ Padua, Dipartimento Fis G Galilei, I-35131 Padua, Italy
[3] Niels Bohr Inst, DK-2100 Copenhagen, Denmark
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
D O I
10.1038/nature05320
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The assembly of an ecosystem such as a tropical forest depends crucially on the species interaction network, and the deduction of its rules is a formidably complex problem(1). In spite of this, many recent studies(2-16) using Hubbell's neutral theory of biodiversity and biogeography(2) have demonstrated that the resulting emergent macroscopic behaviour of the ecosystem at or near a stationary state shows a surprising simplicity reminiscent of many physical systems(17). Indeed the symmetry postulate(2), that the effective birth and death rates are species-independent within a single trophic level, allows one to make analytical predictions for various static distributions such as the relative species abundance(3-12), beta-diversity(13-15) and the species - area relationship(16). In contrast, there have only been a few studies of the dynamics and stability of tropical rain forests(18-20). Here we consider the dynamical behaviour of a community, and benchmark it against the exact predictions of a neutral model near or at stationarity. In addition to providing a description of the relative species abundance, our analysis leads to a quantitative understanding of the species turnover distribution and extinction times, and a measure of the temporal scales of neutral evolution. Our model gives a very good description of the large quantity of data collected in Barro Colorado Island in Panama in the period 1990 - 2000 with just three ecologically relevant parameters and predicts the dynamics of extinction of the existing species.
引用
收藏
页码:926 / 928
页数:3
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