Kenichiro SHIMATANI Associate professor, Spatial and Time Series Modeling Group, Department of Statistical Modeling

Phone: +81-50-5533-8500 E-mail: shimatan Date of Birth: April, 1961 Education: Bachelor of Science, Department of Mathematics, Kyoto Univ., 1984 Master of Science, Graduate School of Mathematical Sciences, Kyoto Univ., 1986 Doctor of Philosophy, The Graduate University for Advanced Studies, 2003 Employment: Lecturer in Mathematics, Osaka University of Foreign Studies, 1991-1995 Lecturer in Computer literacy, Nihon University, 2000-2008 Lecturer in English, Nihon University, 2000-2006 Assistant Professor, Department of Statistical Modeling, ISM., 2005- Research Fields: Spatial Statistics, Ecology, Genetics Research Themes: Spatial pattern analysis of molecular ecological data

Selected Papers
(1)Shimatani K. (1999) The appearance of a different DNA sequence may decrease nucleotide diversity, Journal of Molecular Evolution, 49, 810-813.
(2)Shimatani K. (2001) Multivariate point processes and spatial variation of species diversity. Forest Ecology and Management, 142, 215-229.
(3)Shimatani K. (2001) On the measurement of species diversity incorporating species differences, OIKOS, 93, 135-147.
(4)Shimatani K. (2002) Point processes for fine-scale spatial genetics and molecular ecology, Biometrical Journal, 44, 325-352.
(5)Shimatani K. and Takahashi M. (2003)　On methods spatial analysis for genotyped individuals, Heredity, 91, 173-180.
(6)Shimatani K. (2004) Spatial molecular ecological models for genotyped adults and offspring, Ecological Modelling, 174, 401-410.
(7)Shimatani K. and Kubota Y. (2004) Quantitative assessment of multi-species spatial pattern with high species diversity, Ecological research, 19, 149-163.
(8)Shimatani K. and Kubota Y. (2004) Spatial analysis for continuously changing point patterns along a gradient and its application to an Abies sachalinensis population, Ecological Modelling , 180, 359-369.
(9)Lian CL, Wadud MA, Geng Q, Shimatani K, and Hogetsu T (2006) An improved technique for isolating codominant compound microsatellite markers, Journal of Plant Research, 119, 415-417.
(10)Shimatani K., Kitamura K., Kanazashi T. and Sugita H. (2006) Genetic inhomogeneous Poisson processes describing the roles of an isolated mature tree in forest regeneration, Population Ecology, 48, 203-214.
(11)Goto S., Shimatani K., Yoshimaru H. and Takahashi Y. (2006) Fat-tailed gene flow in the dioecious canopy tree species Fraxinus mandshurica var. japonica revealed by microsatellites, Molecular Ecology, 15, 2985-2996.
(12)Shimatani, K., Kawarasaki, S. and Manabe, T. (2007) Describing size-related mortality and size distribution by nonparametric estimation and model selection using the Akaike Bayesian Information Criterion, Ecological Research, 23, 289-297.
(13)Shimatani, K., Kimura, M., Kitamura, K., Suyama, Y., Isagi, Y. and Sugita, H. (2007) Determining the location of a deceased mother tree and estimating forest regeneration parameters using microsatellites and spatial genetic models, Population Ecology, 49, 317-330.
(14)Shimatani, K., Kubota, Y., Araki, K., Aikawa, S. and Manabe T. (2007) Matrix models using very fine size classes and their applications to population dynamics of tree species: Bayesian nonparametric estimation, Plant Species Biology, 22, 175-190.
(15)Kubota, Y., Narikawa, A. and Shimatani, K. (2007) Litter dynamics and its effects on the survival of Castanopsis sieboldii seedlings in a subtropical forest in southern Japan, Ecological Research, 22, 792-801.
(16)Kubota, Y, Kubo H and Shimatani K (2007) Spatial pattern dynamics over 10 years in a conifer/broadleaved forest, northern Japan, Plant Ecology, 190, 143-157.
(17)Araki K., Shimatani K. and Ohara M. (2007) Floral Distribution, Clonal Structure, and Their Effects on Pollination Success in a Self-Incompatible Convallaria keiskei Population in Northern Japan, Plant Ecology, 189, 175-186.

Membership of Academic Societies
The Ecological Society of Japan, The Japanese Forestry Society, The Society for the Study of Species Biology, Japan Statistical Society

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