Сибирское отделение РАН
Разнообразие растительного мира
Rather investigated vascular plants ( about 300 000 species) are taken as indicator groups for estimates of global and continental biodiversity for simulation within a global vegetation model.
Recent mapping of species numbers of vascular plants (SNVP) for the world (Barthlott, Biedinger et al. 1999), and for rather big regions like the Former Soviet Union (Malyshev 1994) allows to have comparatively well suited data sets for testing of hypothesis for possible biotic and abiotic mechanisms of global and continental biodiversity patterns in North Eurasia and further elaboration of future projections under different global change scenarios.
Global change can significantly affect climate, land use, biogechemical cycles and disturbance regimes. Therefore, investigation of relations between SNVP and other static or dynamic geographical fields (climatic fields, vegetation geographic patterns, elevation) can allow to make future projections under variety of global change scenarios using a dynamic global vegetation model.
Such analysis requires SNVP digitised maps for the world and North Eurasia. The computer map of SNVP for the world on a spatial resolution 0.5° x 0.5° is designed on a basis of (Barthlott, Biedinger et al. 1999) map of SNVP classes using a polinomial trend approximation of isolines within ARC-INFO geographical information system. The computer map of SNVP for the Former Soviet Union on a spatial resolution 0.5° x 0.5° is obtained by digitising of (Malyshev 1994) map using ANUDEM fitting procedure within ARC-INFO.
All SNVP maps are designed using species-area equation (Arrhenius 1921) and, therefore, sensible for a size of representative area, i.e. area unit for which SNVP was estimated. The sensitivity experiments on down scaling of the representative area are carried out for Russia, where SNVP is estimated for range of representative areas from 100 000 sq.km. to 100 sq.km.
Further investigations include a correlation analysis between SNVP distribution and possible climate, vegetation, soil and land use determinants and elaboration of generalistic regression equations for simulations within a dynamic global vegetation model.
List of References
Arrhenius, O. (1921). “Species and area.” Ecology 9(1): 95-99.
Barthlott, W., N. Biedinger, et al. (1999). “Terminological and methodological aspects of the mapping and analysis of global biodiversity.” Acta Botanica Fennica 132: 103-110.
Malyshev, L. I. (1994). Prognosis of spatial diversity of Siberian flora. Biodiversity. V. E. Sokolov and Y. S. Reshetnikov. Moscow, Nauka: 42-52 (in Russian)
Примечание. Тезисы докладов публикуются в авторской редакции
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Дата последней модификации: 06-Jul-2012 (11:44:54)