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Distribution of reactive aluminum under the influence of mesoscale eddies in the western South China Sea 被引量:1
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作者 LIU Jiaxing ZHOU Linbin +5 位作者 TAN Yehui WANG Qionga HU Zifeng LI Jiajun JIANG Xin KE Zhixin 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2017年第6期95-103,共9页
To understand the distribution of aluminum (A1) under the influence of mesocale eddies in the western South China Sea (SCS), sea level anomaly, geostrophic current, environmental parameters and reactive A1 were in... To understand the distribution of aluminum (A1) under the influence of mesocale eddies in the western South China Sea (SCS), sea level anomaly, geostrophic current, environmental parameters and reactive A1 were investigated in the western SCS in August 2013. The highest reactive A1 concentration ((180±64) nmol/L) was observed in the surface waters, indicating a substantial atmospheric input. Vertically, the reactive A1 decreased from the surface high concentration to the subsurface minima at the depth of chlorophyll a (Chl a) maxima and then increased again with depth at most of the stations. The average concentration of reactive A1 in the upper 100 m water column was significantly lower in the cyclonic eddy ((137±6) nmol/L) as compared with that in the non- eddy waters ((180±21) nmol/L). By contrast, the average concentrations of Chl a and silicate in the upper 100 m water column were higher in the cyclonic eddy and lower in the anticyclonic eddy. There was a significant negative correlation between the average concentrations of reactive Al and Chl a in the upper 100 m water column. The vertical distribution of reactive AI and the negative correlation between reactive A1 and Chl a both suggest that the reactive A1 in the upper water column was significantly influenced by biological removal processes. Our results indicate that mesoscale eddies could regulate the distribution of reactive A1 by influencing the primary production and phytoplankton community structure in the western SCS. 展开更多
关键词 reactive aluminum mesoscale eddy chlorophyll a biological removal PHYTOPLANKTON primaryproduction western South China Sea
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Modeling Carbon and Water Budgets in the Lushi Basin with Biome-BGC 被引量:1
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作者 Dong Wenjuan, Qi Ye, Li Huimin, Zhou Dajie, Shi Duanhua& Sun LiyingSchool of Environment, Beijing Normal University, Beijing 100875, China 《Chinese Journal of Population,Resources and Environment》 北大核心 2005年第2期27-34,共8页
In this article, annual evapotranspiration(ET) and net primary productivity (NPP) of fourtypes of vegetation were estimated for the Lushi basin,a subbasin of the Yellow River in China. These fourvegetation types inclu... In this article, annual evapotranspiration(ET) and net primary productivity (NPP) of fourtypes of vegetation were estimated for the Lushi basin,a subbasin of the Yellow River in China. These fourvegetation types include: deciduous broadleaf forest,evergreen needle leaf forest, dwarf shrub and grass.Biome-BGC--a biogeochemical process model wasused to calculate annual ET and NPP for eachvegetation type in the study area from 1954 to 2000.Daily microclimate data of 47 years monitored byLushi meteorological station was extrapolated tocover the basin using MT-CLIM, a mountainmicroclimate simulator. The output files of MT-CLIM were used to feed Biome-BGC. We usedaverage ecophysiological values of each type ofvegetation supplied by Numerical TerradynamicSimulation Group (NTSG) in the University ofMontana as input ecophysiological constants file.The estimates of daily NPP in early July and annualET on these four biome groups were comparedrespectively with field measurements and other studies.Daily gross primary production (GPP) of evergreenneedle leaf forest measurements were very close tothe output of Biome-BGC, but measurements ofbroadleaf forest and dwarf shrub were much smallerthan the simulation result. Simulated annual ET andNPP had a significant correlation with precipitation,indicating precipitation is the major environmentalfactor affecting ET and NPP in the study area.Precipitation also is the key climatic factor for theinterannual ET and NPP variations. 展开更多
关键词 Carbon and water budgets BIOME-BGC the Lushi basin EVAPOTRANSPIRATION netprimary productivity (NPP) gross primaryproduction (GPP)
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Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China 被引量:3
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作者 Kun TAN Songyang ZHOU +1 位作者 Erzhu LI Peijun DU 《Frontiers of Earth Science》 SCIE CAS CSCD 2015年第2期319-329,共11页
An improved Carnegie Ames Stanford Approach (CASA) model based on two kinds of remote sensing (RS) data, Landsat Enhanced Thematic Mapper Plus (ETM +) and Moderate Resolution Imaging Spectro- radiometer (MODIS... An improved Carnegie Ames Stanford Approach (CASA) model based on two kinds of remote sensing (RS) data, Landsat Enhanced Thematic Mapper Plus (ETM +) and Moderate Resolution Imaging Spectro- radiometer (MODIS), and climate variables were applied to estimate the Net Primary Productivity (NPP) of Xuzhou in June of each year from 2001 to 2010. The NPP of the study area decreased as the spatial scale increased. The average NPP of terrestrial vegetation in Xuzhou showed a decreasing trend in recent years, likely due to changes in climate and environment. The study area was divided into four sub-regions, designated as highest, moderately high, moderately low, and lowest in NPR The area designated as the lowest sub-region in NPP increased with expanding scale, indicating that the NPP distribution varied with different spatial scales. The NPP of different vegetation types was also significantly influenced by scale. In particular, the NPP of urban woodland produced lower estimates because of mixed pixels. Similar trends in NPP were observed with different RS data. In addition, expansion of residential areas and reduction of vegetated areas were the major reasons for NPP change. Land cover changes in urban areas reduced NPP, which could chiefly be attributed to human-induced disturbance. 展开更多
关键词 multi-scale remote sensing net primaryproductivity improved Carnegie Ames Stanford approachmodel URBANIZATION
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Nitrogen enrichment alters carbon fluxes in a New England salt marsh 被引量:2
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作者 Emily K.Geoghegan Joshua S.Caplan +3 位作者 Francine N.Leech Paige E.Weber Caitlin E.Bauer Thomas J.Mozdzer 《Ecosystem Health and Sustainability》 SCIE 2018年第11期34-44,共11页
Introduction:Nitrogen enrichment of coastal salt marshes can induce feedbacks that alter ecosystem-level processes including primary production and carbon sequestration.Despite the rising interest in coastal blue carb... Introduction:Nitrogen enrichment of coastal salt marshes can induce feedbacks that alter ecosystem-level processes including primary production and carbon sequestration.Despite the rising interest in coastal blue carbon,the effects of chronic nutrient enrichment on blue carbon processes have rarely been measured in the context of experimental fertilization.Here,we examined the ecosystem-level effects of nitrate(NO3)enrichment on the green-house gas dynamics of a Spartina alterniflora-dominated salt marsh.We measured CO2 and CH4 fluxes using static chambers through two growing seasons in a salt marsh that was nitrogen-enriched for 13 years and compared fluxes to those from a reference marsh.Outcomes:We found that nitrogen enrichment increased gross primary productivity(GPP)by 7.7%and increased ecosystem respiration(Recd)by 20.8%.However,nitrogen enrichment had no discernible effect on net ecosystem exchange(NEE).Taken together,these results suggest that nitrogen-induced stimulation of Reco could transform this salt marsh from a carbon sink into a source of carbon to the atmos phere.Conclusion:Our results complement prior findings of nitrogen enrichment weakening soil structure and organic matter stability in tidal salt marshes,suggesting that increased nutrient inputs have the potential to alter the carbon storage function of these ecosystems through enhanced microbial respiration of previously sequestered carbon. 展开更多
关键词 Spartina alterniflora blue carbon EUTROPHICATION gross primaryproductivity net ecosystemexchange NITROGEN ecosystem respiration tidalsaltmarsh
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