02139aam a2200217 4500999001900000008004500019020001800064082001400082100002700096245006600123260003200189300002700221504056200248520077300810650005301583650005201636650003001688650002001718942001201738952017101750 c211981d211981190509b 2017 ||||| |||| 00| 0 eng d a9781138197022 a577bD3S8 aDewdney, A. K.9379930 aStochastic communities: a mathematical theory of biodiversity bCRC Pressc2017aBoca Raton axiv, 193p.bWith index aTable of Contents
1 The J-curve and the J distribution.
2 The J-distribution and its variations.
3 Sampling in practice and in theory.
4 Compiling and analysing field data.
5 Predictions from data.
6 Extending the sample.
7 Stochastic systems and the stochastic community.
8 The metastudy: A review.
9 Fossil J-curves.
10 Summary of theory and open problems.
Appendix A: Mathematical Notes and Computer Tools.
Appendix B: Results of the metastudy for the J distribution.
Appendix C: Results of the test for the J distribution in taxonomic data. aStochastic Communities presents a theory of biodiversity by analyzing the distribution of abundances among species in the context of a community. The basis of this theory is a distribution called the "J distribution." This distribution is a pure hyperbola and mathematically implied by the "stochastic species hypothesis" assigning equal probabilities of birth and death within the population of each species over varying periods of time. The J distribution in natural communities has strong empirical support resulting from a meta-study and strong theoretical support from a theorem that is mathematically implied by the stochastic species hypothesis.
https://www.crcpress.com/Stochastic-Communities-A-Mathematical-Theory-of-Biodiversity/Dewdney/p/book/9781138197022 aPopulation biology - Mathematical models9379931 aSpecies diversity - Mathematical models9379932 aStochastic models9379933 aEcology9379934 2ddccBK 00102ddc406577_000000000000000_D3S8768NFIC9358549aVSLbVSLcGENd2019-05-08e5g6.00kSlot 1706 (2 Floor, East Wing)o577 D3S8p199379r2019-05-08v7647.04yBK