Ecosystem productivity process model for landscape based on remote sensing and surface data

Abstract

Abstract: In this paper,the a ecosystem productivity process model for landscape (EPPML) reflecting carbon and water cycles of system was described and discussed. In EPPML, leaf area index (LAI) that greatly influenced vegetation productivity was received from remote sensing images,the spatial distribution and temporal dynamics of net primary productivity (NPP) and evapotranspiration were simulated.Geographical information system (GIS) was used to process, analyze, and display spatial data. Thus, the studies on physiological ecology could be extended,and converted from small scale to larger scale. Using EPPML,the vegetation productivity in Changbai Mountain Natural Reserve in1995 was simulated. EPPML could well and truly simulate the NPP of main vegetations in the natural reserve. NPP was estimated to be 0.680 kg C穖^-2 穣r.^-1, mostly ranging from 0.105 to 1.241 kg C穖^-2 穣r.^-1, accounting for 82.1%. The highest NPP (1.084 kg C穖^-2 穣r^-1) appeared in mixed broad leaved and Korean pine forests. The total NPP was estimated to be 1.332?10⁶tC穣r^-1 . The highest total NPP appeared in mixed broad leaved and Korean pine forests and spruce fir forest, which were 0.540?10⁶tC穣r.^-1 and 0.428?10⁶tC穣r.^-1,respectively . The seasonal variation of NPPappeared obvious single peak with peak value in July (6.13 g C穖^-2 穌^-1). The most NPP accumulated in the summer, which was 0.465 kg C穖^-2, secondly in the spring,and least in the winter.

Key words: Ecosystem productivity, Process model, Landscape scale, Remote sensing data, Surface data, Net primary productivity, Changbai Mountain Natural Reserve, conservation tillage, soil total porosity, soil infiltration rate, evaporation characteristics., soil bulk density, saturated water conductivity

CLC Number:

Q948

ZHANG Na, YU Guirui, ZHAO Shidong, YU Zhenliang . Ecosystem productivity process model for landscape based on remote sensing and surface data[J]. Chinese Journal of Applied Ecology, 2003, (5): 643-652.

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