HR: 1340h
AN: B33E-1086 [Abstracts]
TI: Mapping of Net Ecosystem Productivity Based on Remote Sensing of Upper Canopy and Forest Floor in an
East Siberian Larch Forest.
AU: * Kushida, K
EM: kkushida@pop.lowtem.hokudai.ac.jp
AF: Institute of Low Temperature Science, Hokkaido University, W8 N19, Kita-ku, Sapporo, 060-0819
Japan
AU: Isaev, A P
EM: forest_forest@ibpc.ysn.ru
AF: Institute for Biological Problems of Cryorithozone, Russian Academy of Science, Lenin Avenue 41,
Yakutsk, 677891
Russian Federation
AU: Maximov, T C
EM: t.c.maximov@ibpc.ysn.ru
AF: Institute for Biological Problems of Cryorithozone, Russian Academy of Science, Lenin Avenue 41,
Yakutsk, 677891
Russian Federation
AU: Takao, G
EM: takaogen@affrc.go.jp
AF: Hokkaido Branch, Forestry and Forest Products Research Institute, Hitsujigaoka 7, Toyohira, Sapporo,
062-8516
Japan
AU: Fukuda, M
EM: mfukuda@pop.lowtem.hokudai.ac.jp
AF: Institute of Low Temperature Science, Hokkaido University, W8 N19, Kita-ku, Sapporo, 060-0819
Japan
AB:
We estimated net ecosystem productivity (NEP) distribution in an east Siberian larch forest based on remote sensing of upper
canopy leaf area index and forest floor vegetation types. In Siberia and Russian Far East, larch forest occupies 263 million
ha, that is 46 % of the forest cover in the regions. Most of the larch forests in the regions are sparse, and in an east
Siberian larch forest, an observation showed that the net primary production (NPP) of the forest floor vegetation contributes
one third of the total. In spite of that, past studies on remote sensing of the larch forests have not accounted for the
forest floor vegetation types. We observed component spectral characteristics of individual leaves and forest floor
vegetation, and modeled spectral reflectance from the larch forests with changes of leaf area index and forest floor
vegetation types. By applying the relationship to Landsat ETM+ satellite data, we estimated the forest floor vegetation types
and upper canopy leaf area index. Finally, we estimated NEP distribution from the remotely sensed forest-component
parameters and component carbon budgets in the literatures.
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0428 Carbon cycling (4806)
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0480 Remote sensing
DE: 0702 Permafrost (0475)
SC: Biogeosciences [B]
MN: Fall Meeting 2005