Evaluating the role of land cover and climate uncertainties in computing gross primary production in Hawaiian Island ecosystems.

ABSTRACT: Gross primary production (GPP) is the Earth's largest carbon flux into the terrestrial biosphere and plays a critical role in regulating atmospheric chemistry and global climate. The Moderate Resolution Imaging Spectrometer (MODIS)-MOD17 data product is a widely used remote sensing-based model that provides global estimates of spatiotemporal trends in GPP. When the MOD17 algorithm is applied to regional scale heterogeneous landscapes, input data from coarse resolution land cover and climate products may increase uncertainty in GPP estimates, especially in high productivity tropical ecosystems. We examined the influence of using locally specific land cover and high-resolution local climate input data on MOD17 estimates of GPP for the State of Hawaii, a heterogeneous and discontinuous tropic

SUBMITTER: Kimball HL 

PROVIDER: S-EPMC5590934 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature