Atmospheric mercury exchange with a tallgrass prairie ecosystem housed in mesocosms

This study focused on characterizing air–surface mercury Hg exchange for individual surfaces (soil, litter-covered soil and plant shoots) and ecosystem-level flux associated with tallgrass prairie ecosystems housed inside large mesocosms over three years. The major objectives of this project were to...

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Veröffentlicht in:The Science of the total environment 2008-11, Vol.406 (1), p.227-238
Hauptverfasser: Stamenkovic, Jelena, Gustin, Mae S., Arnone, John A., Johnson, Dale W., Larsen, Jessica D., Verburg, Paul S.J.
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container_issue 1
container_start_page 227
container_title The Science of the total environment
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creator Stamenkovic, Jelena
Gustin, Mae S.
Arnone, John A.
Johnson, Dale W.
Larsen, Jessica D.
Verburg, Paul S.J.
description This study focused on characterizing air–surface mercury Hg exchange for individual surfaces (soil, litter-covered soil and plant shoots) and ecosystem-level flux associated with tallgrass prairie ecosystems housed inside large mesocosms over three years. The major objectives of this project were to determine if individual surface fluxes could be combined to predict ecosystem-level exchange and if this low-Hg containing ecosystem was a net source or sink for atmospheric Hg. Data collected in the field were used to validate fluxes obtained in the mesocosm setting. Because of the controlled experimental design and ease of access to the mesocosms, data collected allowed for assessment of factors controlling flux and comparison of models developed for soil Hg flux versus environmental conditions at different temporal resolution (hourly, daily and monthly). Evaluation of hourly data showed that relationships between soil Hg flux and environmental conditions changed over time, and that there were interactions between parameters controlling exchange. Data analyses demonstrated that to estimate soil flux over broad temporal scales (e.g. annual flux) coarse-resolution data (monthly averages) are needed. Plant foliage was a sink for atmospheric Hg with uptake influenced by plant functional type and age. Individual system component fluxes (bare soil and plant) could not be directly combined to predict the measured whole system flux (soil, litter and plant). Emissions of Hg from vegetated and litter-covered soil were lower than fluxes from adjacent bare soil and the difference between the two was seasonally dependent and greatest when canopy coverage was greatest. Thus, an index of plant canopy development (canopy greenness) was used to model Hg flux from vegetated soil. Accounting for ecosystem Hg inputs (precipitation, direct plant uptake of atmospheric Hg) and modeled net exchange between litter-and-plant covered soils, the tallgrass prairie was found to be a net annual sink of atmospheric Hg.
doi_str_mv 10.1016/j.scitotenv.2008.07.047
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The major objectives of this project were to determine if individual surface fluxes could be combined to predict ecosystem-level exchange and if this low-Hg containing ecosystem was a net source or sink for atmospheric Hg. Data collected in the field were used to validate fluxes obtained in the mesocosm setting. Because of the controlled experimental design and ease of access to the mesocosms, data collected allowed for assessment of factors controlling flux and comparison of models developed for soil Hg flux versus environmental conditions at different temporal resolution (hourly, daily and monthly). Evaluation of hourly data showed that relationships between soil Hg flux and environmental conditions changed over time, and that there were interactions between parameters controlling exchange. Data analyses demonstrated that to estimate soil flux over broad temporal scales (e.g. annual flux) coarse-resolution data (monthly averages) are needed. Plant foliage was a sink for atmospheric Hg with uptake influenced by plant functional type and age. Individual system component fluxes (bare soil and plant) could not be directly combined to predict the measured whole system flux (soil, litter and plant). Emissions of Hg from vegetated and litter-covered soil were lower than fluxes from adjacent bare soil and the difference between the two was seasonally dependent and greatest when canopy coverage was greatest. Thus, an index of plant canopy development (canopy greenness) was used to model Hg flux from vegetated soil. 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Measurement results</subject><subject>prairies</subject><subject>Risk Assessment</subject><subject>Soil (material)</subject><subject>soil chemical properties</subject><subject>Soil Pollutants - analysis</subject><subject>Soil Pollutants - chemistry</subject><subject>Soil Pollutants - metabolism</subject><subject>soil-plant-atmosphere interactions</subject><subject>Temporal resolution</subject><subject>temporal variation</subject><subject>Time Factors</subject><subject>Uptakes</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkM1uGyEURlHVqHGdvELDptnNlL8BZmlFbVopUhdJ1ohhLjbWzODCOKnfvli20mXuBoTOx_10ELqhpKaEym_bOrswxxmml5oRomuiaiLUB7SgWrUVJUx-RAtChK5a2apL9DnnLSmjNP2ELgukmjIL9Liax5h3G0jB4RGS26cDhr9uY6c14Ncwb7DFsx2GdbI5412yIQXA4GI-5BlGvIn7DD0OU0nnWJ7HfIUuvB0yXJ_PJXr-8f3p7mf18Pv-193qoXJCN3NlgXTCd0BoJxST5UqYBuA9b6yUQmvOve6VBKq5Yl71rO0a5nXDPWceJF-i29O_uxT_7CHPZgzZwTDYCUorwyUrHrR4FywYl7zsWyJ1Al2KOSfwZpfCaNPBUGKO4s3WvIk3R_GGKFPEl-SX84p9N0L_P3c2XYCvZ8BmZwef7ORCfuMY0YwrwQp3c-K8jcauU2GeHxmhnNBGyJbSQqxOBBS3LwHSsRJMDvqQwM2mj-Hduv8AWPSwCg</recordid><startdate>20081115</startdate><enddate>20081115</enddate><creator>Stamenkovic, Jelena</creator><creator>Gustin, Mae S.</creator><creator>Arnone, John A.</creator><creator>Johnson, Dale W.</creator><creator>Larsen, Jessica D.</creator><creator>Verburg, Paul S.J.</creator><general>Elsevier B.V</general><general>[Amsterdam; New York]: Elsevier Science</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TV</scope><scope>7U7</scope><scope>C1K</scope><scope>KL.</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20081115</creationdate><title>Atmospheric mercury exchange with a tallgrass prairie ecosystem housed in mesocosms</title><author>Stamenkovic, Jelena ; Gustin, Mae S. ; Arnone, John A. ; Johnson, Dale W. ; Larsen, Jessica D. ; Verburg, Paul S.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-ae0b4fbe01b47264fb028ee3d35a6648833f8d76e18372f7d29b52f853f32fe63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Access control</topic><topic>Air Pollutants - analysis</topic><topic>Air Pollutants - chemistry</topic><topic>Air Pollutants - metabolism</topic><topic>Analysis methods</topic><topic>Annual precipitation</topic><topic>Applied sciences</topic><topic>Assessments</topic><topic>Atmosphere - chemistry</topic><topic>Atmospheric pollution</topic><topic>Atmospherics</topic><topic>Canopies</topic><topic>Chambers</topic><topic>chemical constituents of plants</topic><topic>Coarsening</topic><topic>Dispersed sources and other</topic><topic>Dynamic flux chamber</topic><topic>Ecosystem</topic><topic>Ecosystems</topic><topic>Environmental Monitoring - methods</topic><topic>Estimates</topic><topic>Exact sciences and technology</topic><topic>Flux</topic><topic>Fluxes</topic><topic>Foliage</topic><topic>gas exchange</topic><topic>Litter</topic><topic>Mathematical models</topic><topic>Mercury</topic><topic>Mercury - analysis</topic><topic>Mercury - chemistry</topic><topic>Mercury - metabolism</topic><topic>Mercury flux</topic><topic>Modeling ecosystem exchange</topic><topic>Models, Biological</topic><topic>Plants (organisms)</topic><topic>Poaceae - growth &amp; development</topic><topic>Poaceae - metabolism</topic><topic>Pollution</topic><topic>Pollution sources. Measurement results</topic><topic>prairies</topic><topic>Risk Assessment</topic><topic>Soil (material)</topic><topic>soil chemical properties</topic><topic>Soil Pollutants - analysis</topic><topic>Soil Pollutants - chemistry</topic><topic>Soil Pollutants - metabolism</topic><topic>soil-plant-atmosphere interactions</topic><topic>Temporal resolution</topic><topic>temporal variation</topic><topic>Time Factors</topic><topic>Uptakes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stamenkovic, Jelena</creatorcontrib><creatorcontrib>Gustin, Mae S.</creatorcontrib><creatorcontrib>Arnone, John A.</creatorcontrib><creatorcontrib>Johnson, Dale W.</creatorcontrib><creatorcontrib>Larsen, Jessica D.</creatorcontrib><creatorcontrib>Verburg, Paul S.J.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stamenkovic, Jelena</au><au>Gustin, Mae S.</au><au>Arnone, John A.</au><au>Johnson, Dale W.</au><au>Larsen, Jessica D.</au><au>Verburg, Paul S.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Atmospheric mercury exchange with a tallgrass prairie ecosystem housed in mesocosms</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2008-11-15</date><risdate>2008</risdate><volume>406</volume><issue>1</issue><spage>227</spage><epage>238</epage><pages>227-238</pages><issn>0048-9697</issn><eissn>1879-1026</eissn><coden>STENDL</coden><abstract>This study focused on characterizing air–surface mercury Hg exchange for individual surfaces (soil, litter-covered soil and plant shoots) and ecosystem-level flux associated with tallgrass prairie ecosystems housed inside large mesocosms over three years. The major objectives of this project were to determine if individual surface fluxes could be combined to predict ecosystem-level exchange and if this low-Hg containing ecosystem was a net source or sink for atmospheric Hg. Data collected in the field were used to validate fluxes obtained in the mesocosm setting. Because of the controlled experimental design and ease of access to the mesocosms, data collected allowed for assessment of factors controlling flux and comparison of models developed for soil Hg flux versus environmental conditions at different temporal resolution (hourly, daily and monthly). Evaluation of hourly data showed that relationships between soil Hg flux and environmental conditions changed over time, and that there were interactions between parameters controlling exchange. Data analyses demonstrated that to estimate soil flux over broad temporal scales (e.g. annual flux) coarse-resolution data (monthly averages) are needed. Plant foliage was a sink for atmospheric Hg with uptake influenced by plant functional type and age. Individual system component fluxes (bare soil and plant) could not be directly combined to predict the measured whole system flux (soil, litter and plant). Emissions of Hg from vegetated and litter-covered soil were lower than fluxes from adjacent bare soil and the difference between the two was seasonally dependent and greatest when canopy coverage was greatest. Thus, an index of plant canopy development (canopy greenness) was used to model Hg flux from vegetated soil. Accounting for ecosystem Hg inputs (precipitation, direct plant uptake of atmospheric Hg) and modeled net exchange between litter-and-plant covered soils, the tallgrass prairie was found to be a net annual sink of atmospheric Hg.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><pmid>18775555</pmid><doi>10.1016/j.scitotenv.2008.07.047</doi><tpages>12</tpages></addata></record>
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subjects Access control
Air Pollutants - analysis
Air Pollutants - chemistry
Air Pollutants - metabolism
Analysis methods
Annual precipitation
Applied sciences
Assessments
Atmosphere - chemistry
Atmospheric pollution
Atmospherics
Canopies
Chambers
chemical constituents of plants
Coarsening
Dispersed sources and other
Dynamic flux chamber
Ecosystem
Ecosystems
Environmental Monitoring - methods
Estimates
Exact sciences and technology
Flux
Fluxes
Foliage
gas exchange
Litter
Mathematical models
Mercury
Mercury - analysis
Mercury - chemistry
Mercury - metabolism
Mercury flux
Modeling ecosystem exchange
Models, Biological
Plants (organisms)
Poaceae - growth & development
Poaceae - metabolism
Pollution
Pollution sources. Measurement results
prairies
Risk Assessment
Soil (material)
soil chemical properties
Soil Pollutants - analysis
Soil Pollutants - chemistry
Soil Pollutants - metabolism
soil-plant-atmosphere interactions
Temporal resolution
temporal variation
Time Factors
Uptakes
title Atmospheric mercury exchange with a tallgrass prairie ecosystem housed in mesocosms
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