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Matsui, Tetsuya,Nakao, Katsuhiro,Higa, Motoki,Tsuyama, Ikutaro,Kominami, Yuji,Yagihashi, Tsutomu,Koide, Dai,Tanaka, Nobuyuki Springer Japan 2018 Ecological research Vol.33 No.2
<P><B>Abstract</B></P><P>Climate change will likely change the species composition or abundance of plant communities, and it is important to anticipate these changes to develop climate change adaptation policies. We chose beech (<I>Fagus crenata</I> Blume) and its competitive tree species as target species to evaluate potential turnover in forest types under climate change using a multivariate classification tree model. To construct the model, geographical presence/absence data for nine target species were used as multivariate response variables, with five climatic factors were used as predictor variables. Current and future distribution probabilities for the target species were calculated, and the 15 dominant forest types were subjectively classified in approximately 1‐km<SUP>2</SUP> grid cells within the area of the current beech forest distribution. All 16,398 grid cells of the beech‐dominant forest type (FCR‐QCR) were projected to be replaced in the future by five <I>Quercus crispula</I>‐dominant types (59% of FCR‐QCR grid cells), four <I>Q. serrata</I> types (22%), two <I>Q. salicina</I> types (8%), or two <I>Abies firma</I> types (0.1%). The FCR‐QCR type remained unchanged (stable) in only 11.4% of grid cells; these were mainly distributed at high elevations in snowy areas on the Sea of Japan side of the country. In contrast, vulnerable habitats (future probability of beech occurrence less than 1.0%) were found at low elevations on both the Sea of Japan and the Pacific Ocean sides. Northwards or upwards range expansions or increases of <I>Quercus</I> spp., in particular, need to be carefully monitored.</P>
Access Control with OpenID on the Web
Tadashi SHIROMA,Tetsuya HIGA,Tomokazu NAGATA,Yuji TANIGUCHI,Shiro TAMAKI,Morikazu NAKAMURA 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In recent years, Single Sign-On for the Web is demanded highly and OpenID was proposed. OpenID is usually used as a method for verifying the identifier of users. By contrast, we use OpenID as a method for proving the attributes or knowledge of users. In this article, we suggest an access control method using OpenID with the optional factors of the users on the Web.