Quantitative estimation of the magnitude and variability of gross primary productivity (GPP) is required to study the carbon cycle of the terrestrial ecosystem. Using ecosystem models and remotely-sensed data is a practical method for accurately estimating GPP. This study presents a method for assimilating high-quality leaf area index (LAI) products retrieved from satellite data into a process-...

Psoriasis may bring damage to kidney damage. We conducted a seven-year retrospective study focusing on blood examination of renal function of psoriatic patients. Only those first-time hospitalizations with psoriasis were included. We mainly evaluated the renal function indexes on the first day of hospitalization, including Blood Urea Nitrogen (BUN), Serum Creatinine (Scr) and Blood Uric Acid (B...

MOD17A2 provides near real-time estimates of gross primary production (GPP) globally. In this study, MOD17A2 GPP was evaluated using eddy covariance (EC) flux measurements at eight sites in five various biome types across China. The sensitivity of MOD17A2 to meteorological data and leaf area index/fractional photosynthetically active radiation (LAI/FPAR) products were examined by introducing si...

G eneralized pustular psoriasis (GPP), von Zumbusch type, is an uncommon variant of psoriasis characterized by acute-onset severe inflammation and widespread sterile pustules within psoriatic plaques. GPP is a medical emergency that often requires hospitalization because of possible life-threatening complications, including heart failure, renal failure, and sepsis. Existing treatment options fo...

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...

Vegetation productivity metrics, such as gross primary production (GPP) may be determined from the efficiency with which light is converted into photosynthates, or light use efficiency (ε). Therefore, accurate measurements and modeling of ε is important for estimating GPP in each ecosystem. Previous studies have quantified the impacts of biophysical parameters on light use efficiency based GPP ...

Understanding the changes in gross primary production (GPP), which is the total carbon fixation by terrestrial ecosystems through vegetation photosynthesis, due to land use conversion in a tourism city is important for carbon cycle studies. Satellite data from Landsat 5, Landsat 7 and Landsat 8 and meteorological data are used to calculate annual GPP for 1995, 2003 and 2014, respectively, using...

In this study we evaluated the potential of the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) for monitoring gross primary productivity (GPP) across fifteen eddy covariance towers encompassing a wide variation in North American vegetation composition. The acrosssite relationship between MTCI and tower GPP was stronger than that between either the MODIS GPP ...

To characterize serum biomarkers reflecting the severity of generalized pustular psoriasis (GPP), we measured multiple cytokine/chemokine levels in 39 serum samples from 6 cases with GPP during the course of the disease. Serum levels of IL-4, IL-8, CXCL1 and CCL3 were positively correlated with the severity scores of GPP, white blood cell counts and serum C-reactive protein levels. Serum levels...

Light-use efficiency (LUE) is at the core of mechanistic modeling of global gross primary production (GPP). However, most LUE estimates in global models are satellite based and coarsely measured with emphasis on environmental variables. Others are from eddy covariance towers with much greater spatial and temporal data quality and emphasis on mechanistic processes, but in a limited number of sit...