LANDSCAPE ECOLOGY – TEXTBOOK ON APPLICATION OF PRESSURE-BASED BIODIVERSITY MODELING FOR NATIONAL AND REGIONAL EDUCATIONAL PURPOSES. Authors: Vasyl I. Prydatko, Grygoriy O. Kolomytsev, Raisa I. Burda and Sergiy M. Chumachenko. Kyiv: NAU, 2008.— 100 pp. (eng), 174 pp. (ua). Extract Page 21… The speed of IT development is impressive. It can be proved by the comparison of replies to the enquiries related to the groups of key words in Ukrainian, Russian, and English done by Google Search, as of October 11, 2007. The enquiries were about the following key words: ‘information science’ (in Ukrainian) – 426,000, ‘geoinformation science’ (in Ukrainian) – 810; ‘information science’ (in Russian) – 8,110,000, ‘geoinformation science’ (in Russian) – 152,000; ‘information science’ – 899,000,000, ‘geoinformation science’– 438,000. It means that IT is actively used for the historical analysis and/or the change in species habitats, mapping their areals, etc. In general, it is used for the development of applied biotical sound geoinfromation science. In the nearest future this knowledge will be part of a separate discipline ‘BioticGeoInformation Science’, a scientific trend that uses geoinfromation science for studying, monitoring and modelling of a biotic component of landscape ecosystems. It should be also noted that based on the same search principle, using key words, we can have the following series: ‘biogeoinformation science’ (in Ukrainian) – 0, ‘biogeoinformation science’ (in Russian) – 2, ‘biogeoinformatics’ (in English) – 14,400. The latter only relates to Hexacorals. The authors consider it possible to introduce the name of this young discipline – bioticgeoinformation science – in the GLOBIO region, see Annex 8 (p. 96). The materials, collected in the textbook, illustrate well its possibilities and potential. page 96 …BioticGeoinformation modelling – when modelling an ecosystem projection on the surface of any digital map received with the help of RS data or a plant or animal species areal of geoinformation origin based on RS data; it is done by transforming species requirements into the language of land cover (LC) or land cover classes (LCC).