Self-organized similarity, the evolutionary emergence of groups of similar species.

نویسندگان

  • Marten Scheffer
  • Egbert H van Nes
چکیده

Ecologists have long been puzzled by the fact that there are so many similar species in nature. Here we show that self-organized clusters of look-a-likes may emerge spontaneously from coevolution of competitors. The explanation is that there are two alternative ways to survive together: being sufficiently different or being sufficiently similar. Using a model based on classical competition theory, we demonstrate a tendency for evolutionary emergence of regularly spaced lumps of similar species along a niche axis. Indeed, such lumpy patterns are commonly observed in size distributions of organisms ranging from algae, zooplankton, and beetles to birds and mammals, and could not be well explained by earlier theory. Our results suggest that these patterns may represent self-constructed niches emerging from competitive interactions. A corollary of our findings is that, whereas in species-poor communities sympatric speciation and invasion of open niches is possible, species-saturated communities may be characterized by convergent evolution and invasion by look-a-likes.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Feasibility of Adaptive Level Hardware Evolution for Emergent Fault Tolerant Communication

A permanent physical fault in communication lines usually leads to a failure. The feasibility of evolution of a self organized communication is studied in this paper to defeat this problem. In this case a communication protocol may emerge between blocks and also can adapt itself to environmental changes like physical faults and defects. In spite of faults, blocks may continue to function since ...

متن کامل

An Evolutionary and Phylogenetic Study of the BMP15 Gene

DNA sequence data contains a wealth of biologically useful information. Recent innovations in DNA sequencing technology have greatly increased our capacity to determine massive amounts of nucleotide sequences. These sequences can be used to specify the characteristics of different regions, interpret the evolutionary relationships between categorized groups, likelihood of performing multiple com...

متن کامل

Genetic Variation within Iranian Iris Species Using Morphological Traits

Iris belongs toIridaceae family and it is monocotyledon. Iris is one of the important ornamental and medicinal plants. 34 iris genotypes (14 species) collected from different provinces of Iran were planted at National Institute of Ornamental Plants (NIOP) Iran. All of the species evaluated for 15 quantitative traits and 30 qualitative traits. Results showed that the highest positive correlation...

متن کامل

Self-similar fractals and arithmetic dynamics

‎The concept of self-similarity on subsets of algebraic varieties‎ ‎is defined by considering algebraic endomorphisms of the variety‎ ‎as `similarity' maps‎. ‎Self-similar fractals are subsets of algebraic varieties‎ ‎which can be written as a finite and disjoint union of‎ ‎`similar' copies‎. ‎Fractals provide a framework in which‎, ‎one can‎ ‎unite some results and conjectures in Diophantine g...

متن کامل

Towards a Toolkit to Study Emergence in Complex Systems Simulations

This paper presents a simulation platform which has been realized in Java 1.1 for the study of chaotic behavior and evolutionary processes in non-linear systems. To support the modeling of such complex systems, we propose the use of agent technology as high level tool to design simulation applications. The framework enables to study emergence by exploiting distributing computing as key issues o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Proceedings of the National Academy of Sciences of the United States of America

دوره 103 16  شماره 

صفحات  -

تاریخ انتشار 2006