Measurements and simulation of forest leaf area index and net primary productivity in Northern China.

Measurements and simulation of forest leaf area index and net primary productivity in Northern China. Research Abstract Details 

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Measurements and simulation of forest leaf area index and net primary productivity in Northern China. Abstract Text:

P Wang,R Sun,J Hu,Q Zhu,Y Zhou,L Li,J M Chen,

Large scale process-based modeling is a useful approach to estimate distributions of global net primary productivity (NPP). In this paper, in order to validate an existing NPP model with observed data at site level, field experiments were conducted at three sites in northern China. One site is located in Qilian Mountain in Gansu Province, and the other two sites are in Changbaishan Natural Reserve and Dunhua County in Jilin Province. Detailed field experiments are discussed and field data are used to validate the simulated NPP. Remotely sensed images including Landsat Enhanced Thematic Mapper plus (ETM+, 30 m spatial resolution in visible and near infrared bands) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER, 15m spatial resolution in visible and near infrared bands) are used to derive maps of land cover, leaf area index, and biomass. Based on these maps, field measured data, soil texture and daily meteorological data, NPP of these sites are simulated for year 2001 with the boreal ecosystem productivity simulator (BEPS). The NPP in these sites ranges from 80 to 800 gCm(-2)a(-1). The observed NPP agrees well with the modeled NPP. This study suggests that BEPS can be used to estimate NPP in northern China if remotely sensed images of high spatial resolution are available.

Measurements and simulation of forest leaf area index and net primary productivity in Northern China. Publishing Authors By Initials

P Wang,R Sun,J Hu,Q Zhu,Y Zhou,L Li,JM Chen,

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Measurements and simulation of forest leaf area index and net primary productivity in Northern China. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Journal of environmental management

VOLUME: 85

Page Numbers: 607-15

Journal Abbreviation: J. Environ. Manage.

ISSN: 0301-4797

DAY: 12

MONTH: 12

YEAR: 2006

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LANGUAGE: eng

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AFFILIATION: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences, Beijing, China.

Country: England

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MEDLINETA: J Environ Manage

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