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作 者:Thomas Littmann Maik Veste
机构地区:[1]University of Halle-Wittenberg, Institute of Geography, Von-Seckendorff-Platz 4, D-06099 Halle, Germany,Present address: DLC-Dr. Littmann Consulting, Leibnizstr. 33, D-58256 Ennepetal, Germany [2]University of Bielefeld, Department of Ecology, PO Box 100131, D-33501 Bielefeld, Germany ,Present address: University of Hohenheim, Institute of Botany and Botanical Garden, Garbenstrasse 30, 70559 Stuttgart, Germany
出 处:《Forestry Studies in China》2005年第4期24-28,共5页中国林学(英文版)
摘 要:A stochastic numerical approach was developed to model the actual standing biomass in the sand dunes of the northwestern Negev (Israel) and probable boundary conditions that may be responsible for the vegetation patterns investigated in detail. Our results for several variables characteristic for the prevailing climate, geomorphology, hydrology and biologicy at four measurement stations along a transect from northwest to southeast allowed for the development of a stochastic model for biomass distribution over the entire sand dune field (mesoscale) and at Nizzana experimental station (microscale). With this equation it was possible to compute and interpolate a biomass index value for each grid point on the mesoscale and micro scale. The spatial distribution of biomass is negatively linked to distance from the sea, to rainfall and relief energy.A stochastic numerical approach was developed to model the actual standing biomass in the sand dunes of the northwestern Negev (Israel) and probable boundary conditions that may be responsible for the vegetation patterns investigated in detail. Our results for several variables characteristic for the prevailing climate, geomorphology, hydrology and biologicy at four measurement stations along a transect from northwest to southeast allowed for the development of a stochastic model for biomass distribution over the entire sand dune field (mesoscale) and at Nizzana experimental station (microscale). With this equation it was possible to compute and interpolate a biomass index value for each grid point on the mesoscale and micro scale. The spatial distribution of biomass is negatively linked to distance from the sea, to rainfall and relief energy.
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