Abstract:
:We modeled net primary productivity (NPP) at high spatial resolution using an advanced spaceborne thermal emission and reflection radiometer (ASTER) image of a Qilian Mountain study area using the boreal ecosystem productivity simulator (BEPS). Two key driving variables of the model, leaf area index (LAI) and land cover type, were derived from ASTER and moderate resolution imaging spectroradiometer (MODIS) data. Other spatially explicit inputs included daily meteorological data (radiation, precipitation, temperature, humidity), available soil water holding capacity (AWC), and forest biomass. NPP was estimated for coniferous forests and other land cover types in the study area. The result showed that NPP of coniferous forests in the study area was about 4.4 tCha(-1)y(-1). The correlation coefficient between the modeled NPP and ground measurements was 0.84, with a mean relative error of about 13.9%.
journal_name
J Environ Managejournal_title
Journal of environmental managementauthors
Zhou Y,Zhu Q,Chen JM,Wang YQ,Liu J,Sun R,Tang Sdoi
10.1016/j.jenvman.2006.04.024subject
Has Abstractpub_date
2007-11-01 00:00:00pages
574-84issue
3eissn
0301-4797issn
1095-8630pii
S0301-4797(06)00298-2journal_volume
85pub_type
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