Evaluating and comparing remote sensing terrestrial GPP models for their response to climate variability and CO2 trends.

Remote sensing (RS)-based models play an important role in estimating and monitoring terrestrial ecosystem gross primary productivity (GPP). Several RS-based GPP models have been developed using different criteria, yet the sensitivities to environmental factors vary among models; thus, a comparison of model sensitivity is necessary for analyzing and interpreting results and for choosing suitable models. In this study, we globally evaluated and compared the sensitivities of 14 RS-based models (2 process-, 4 vegetation-index-, 5 light-use-efficiency, and 3 machine-learning-based models) and benchmarked them against GPP responses to climatic factors measured at flux sites and to elevated CO2 concentrations measured at free-air CO2 enrichment experiment sites. The results demonstrated that the models with relatively high sensitivity to increasing atmospheric CO2 concentrations showed a higher increasing GPP trend. The fundamental difference in the CO2 effect in the models' algorithm either considers the effect of CO2 through changes in greenness indices (nine models) or introduces the influences on photosynthesis (three models). The overall effects of temperature and radiation, in terms of both magnitude and sign, vary among the models, while the models respond relatively consistently to variations in precipitation. Spatially, larger differences among model sensitivity to climatic factors occur in the tropics; at high latitudes, models have a consistent and obvious positive response to variations in temperature and radiation, and precipitation significantly enhances the GPP in mid-latitudes. Compared with the results calculated by flux-site measurements, the model performance differed substantially among different sites. However, the sensitivities of most models are basically within the confidence interval of the flux-site results. In general, the comparison revealed that models differed substantially in the effect of environmental regulations, particularly CO2 fertilization and water stress, on GPP, and none of the models performed consistently better across the different ecosystems and under the various external conditions.

Study on spatial distribution of crop residue burning and PM2.5 change in China.

With China as the study area, MODIS MOD14A1 and MCD12Q1 products were used to derive daily crop residue burning spots from 2014 to 2015. After vectorization of crop residue burning pixels and with the use of fishnet, burning density distribution maps were eventually completed. Meanwhile, the daily air quality data from 150 cities in 2014 and 285 cities in 2015 were used to obtain daily and monthly PM2.5 distribution maps with the Kriging interpolation. The results indicate that crop residue burning occurs in a seasonal pattern, and its spatial distribution is closely related to farming activities. The annual PM2.5 in China decreased 11.81% from 2014 to 2015, and the distribution of PM2.5 in China's east and north is always higher than in China's west and south. Furthermore, the changes in PM2.5 exhibit a hysteresis after crop residue burning in summer and autumn-winter. Regarding summer crop residue burning in China's middle-east, the r between crop residue burning spots and PM2.5 is 0.6921 (P < 0.01) in 2014 and 0.5620 (P < 0.01) in 2015, while the correlation coefficient of autumn-winter crop residue burning in China's northeast is slightly lower with an r of 0.5670 (P < 0.01) in 2014 and 0.6213 (P < 0.01) in 2015. In autumn-winter, crop residue burning can induce evident PM2.5 increase in China's northeast, and that is more obvious than summer crop residue burning in China's middle-east. Furthermore, when data of summer and autumn-winter crop residue burning from 2014 to 2015 are compared, we can see that the change in number of crop residue burning spots significant changes PM2.5 in these regions. Both the summer and autumn-winter crop residue burning areas presented spatial consistency with high PM2.5. By contrast, the results from many aspects indicated that the crop residue burning in spring did not cause a notable change of PM2.5.

Effects of ß-carotene-enriched dry carrots on ß-carotene status and colostral immunoglobulin in ß-carotene-deficient Japanese Black cows.

Data from 18 ß-carotene-deficient Japanese Black cows were collected to clarify the effects of feeding ß-carotene-enriched dry carrots on ß-carotene status and colostral immunoglobulin (Ig) in cows. Cows were assigned to control or carrot groups from 3 weeks before the expected calving date to parturition, and supplemental ß-carotene from dry carrots was 138 mg/day in the carrot group. Plasma ß-carotene concentrations in the control and carrot groups at parturition were 95 and 120 µg/dL, and feeding dry carrots slightly improved plasma ß-carotene at parturition. Feeding dry carrots increased colostral IgA concentrations in cows and tended to increase colostral IgG1 , but colostral IgM, IgG2 , ß-carotene and vitamin A were not affected by the treatment. Feeding dry carrots had no effects on plasma IgG1 , IgA and IgM concentrations in cows, but plasma IgG1 concentrations decreased rapidly from 3 weeks before the expected calving date to parturition. These results indicate that feeding ß-carotene-enriched dry carrots is effective to enhance colostral IgA and IgG1 concentrations in ß-carotene-deficient cows.

Mapping and evaluating the urbanization process in Northeast China using DMSP/OLS nighttime light data.

In this paper, an Urban Light Index (ULI) is constructed to facilitate analysis and quantitative evaluation of the process of urbanization and expansion rate by using DMSP/OLS Nighttime Light Data during the years from 1992 to 2010. A unit circle urbanization evaluation model is established to perform a comprehensive analysis of the urbanization process of 34 prefecture-level cities in Northeast China. Furthermore, the concept of urban light space is put forward. In this study, urban light space is divided into four types: the core urban area, the transition zone between urban and suburban areas, suburban area and fluorescent space. Proceeding from the temporal and spatial variation of the four types of light space, the pattern of morphologic change and space-time evolution of the four principal cities in Northeast China (Harbin, Changchun, Shenyang, Dalian) is analyzed and given particular attention. Through a correlation analysis between ULI and the traditional urbanization indexes (urban population, proportion of the secondary and tertiary industries in the regional GDP and the built-up area), the advantages and disadvantages as well as the feasibility of using the ULI in the study of urbanization are evaluated. The research results show that ULI has a strong correlation with urban built-up area (R2 ＝ 0.8277). The morphologic change and history of the evolving urban light space can truly reflect the characteristics of urban sprawl. The results also indicate that DMSP/OLS Nighttime Light Data is applicable for extracting urban space information and has strong potential to urbanization research.

Adhesion and friction properties of molecularly thin perfluoropolyether liquid films on solid surface.

The adhesion and friction properties of molecularly thin perfluoropolyether (PFPE) lubricant films dip-coated on a diamond-like carbon (DLC) overcoat of magnetic disks were studied using a pin-on-disk-type micro-tribotester that we developed. The load and friction forces were simultaneously measured on a rotating disk surface under an increasing/decreasing load cycle and slow sliding conditions. Experiments were performed using two types of PFPE lubricants: Fomblin Z-tetraol2000S with functional end-groups and Fomblin Z-03 without any end-group. The curves of the friction force as a function of the applied load agree with the curves estimated using the Johnson-Kendall-Roberts (JKR) model. The friction forces on the Z-03 films having different thicknesses were not found to decrease drastically; however, the friction forces on the Z-tetraol film were found to decrease drastically when the film thickness is more than ~1.2 nm. This drastic change in the case of the Z-tetraol film is estimated to be affected by the coverage of the lubricant film.

Assessment of global carbon dioxide concentration using MODIS and GOSAT data.

Carbon dioxide (CO(2)) is the most important greenhouse gas (GHG) in the atmosphere and is the greatest contributor to global warming. CO(2) concentration data are usually obtained from ground observation stations or from a small number of satellites. Because of the limited number of observations and the short time series of satellite data, it is difficult to monitor CO(2) concentrations on regional or global scales for a long time. The use of the remote sensing data such as the Advanced Very High Resolution Radiometer (AVHRR) or Moderate Resolution Imaging Spectroradiometer (MODIS) data can overcome these problems, particularly in areas with low densities of CO(2) concentration watch stations. A model based on temperature (MOD11C3), vegetation cover (MOD13C2 and MOD15A2) and productivity (MOD17A2) of MODIS (which we have named the TVP model) was developed in the current study to assess CO(2) concentrations on a global scale. We assumed that CO(2) concentration from the Thermal And Near infrared Sensor for carbon Observation (TANSO) aboard the Greenhouse gases Observing SATellite (GOSAT) are the true values and we used these values to check the TVP model accuracy. The results indicate that the accuracy of the TVP model is different in different continents: the greatest Pearson's correlation coefficient (R2) was 0.75 in Eurasia (RMSE = 1.16) and South America (RMSE = 1.17); the lowest R2 was 0.57 in Australia (RMSE = 0.73). Compared with the TANSO-observed CO(2) concentration (XCO(2)), we found that the accuracy throughout the World is between -2.56~3.14 ppm. Potential sources of TVP model uncertainties were also analyzed and identified.

Basis of decreased risk of gastric cancer in severe atrophic gastritis with eradication of Helicobacter pylori.

Helicobacter pylori infection induces chronic gastritis and lowers gastric juice ascorbic acid concentrations. We investigated how H. pylori eradication affected multiple variables that could prevent or delay development of new or occult gastric cancer in patients with early gastric cancer treated by endoscopic mucosal resection. Gastric juice pH, nitrite concentrations, and total vitamin C concentrations, serum concentrations of vitamin C and specific H. pylori antibody, and intensity of neutrophil infiltration in gastric mucosa were determined before and after successful H. pylori eradication. Successful eradication increased acid output and ascorbic acid secretion into gastric juice, accompanied by disappearance of polymorphonuclear infiltration from the surface epithelium and decreased gastric juice nitrite concentrations. Our data suggest that H. pylori eradication decreases the nitrosation rate as the ratio of vitamin C to nitrite increases. This decreases reactive oxygen species and nitric oxide, eliminating their damaging effect on DNA and reducing cell turnover.

Does intragastric nitrite concentration reflect gastric carcinogenesis in Japanese Helicobacter pylori-infected patients?

Established risk factors for gastric cancer include a diet high in nitrate or nitrite and low in vitamin C and the presence of achlorhydria or hypochlorhydria. The aim of this study was to investigate the relationship between intragastric nitrite concentration and atrophic change of the stomach or gastric carcinogenesis in Japanese Helicobacter pylori-infected patients. Gastric juice pH, nitrite, and total vitamin C concentrations in gastric juice, serum pepsinogen I and II concentrations, and specific Helicobacter pylori antibody were analyzed. Intragastric total vitamin C concentration was decreased by Helicobacter pylori infection of the gastric mucosa and with progression of the atrophic grade. There was a significant positive correlation between atrophic grade and intragastric nitrite concentration. In conclusion, the levels of nitrite in gastric juice play a causal role in the development of cancer in Helicobacter pylori-associated atrophic gastric mucosa.