The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling
Background An acceleration of model-data synthesis activities has leveraged many terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace. Scope We identify three major challenges in interpreting RS data, and opportunities to utilize it more extensively and creati...
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| Veröffentlicht in: | Plant and soil 2017-04, Vol.413 (1/2), p.1-27 |
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| creator | Phillips, Claire L. Bond-Lamberty, Ben Desai, Ankur R. Lavoie, Martin Risk, Dave Tang, Jianwu Todd-Brown, Katherine Vargas, Rodrigo |
| description | Background An acceleration of model-data synthesis activities has leveraged many terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace. Scope We identify three major challenges in interpreting RS data, and opportunities to utilize it more extensively and creatively: (1) When RS is compared to ecosystem respiration (RECO) measured from EC towers, it is not uncommon to find RS > RECO. We argue this is most likely due to difficulties in calculating RECO, which provides an opportunity to utilize RS for EC quality control. (2) RS integrates belowground heterotrophic and autotrophic activity, but many models include only an explicit heterotrophic output. Opportunities exist to use the total RS flux for data assimilation and model benchmarking methods rather than less-certain partitioned fluxes. (3) RS is generally measured at a very different resolution than that needed for comparison to EC or ecosystem- to global-scale models. Downscaling EC fluxes to match the scale of RS, and improvement of RS upscaling techniques will improve resolution challenges. Conclusions RS data can bring a range of benefits to model development, particularly with larger databases and improved data sharing protocols to make RS data more robust and broadly available to the research community. |
| doi_str_mv | 10.1007/s11104-016-3084-x |
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(PNNL), Richland, WA (United States)</creatorcontrib><description>Background An acceleration of model-data synthesis activities has leveraged many terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace. Scope We identify three major challenges in interpreting RS data, and opportunities to utilize it more extensively and creatively: (1) When RS is compared to ecosystem respiration (RECO) measured from EC towers, it is not uncommon to find RS > RECO. We argue this is most likely due to difficulties in calculating RECO, which provides an opportunity to utilize RS for EC quality control. (2) RS integrates belowground heterotrophic and autotrophic activity, but many models include only an explicit heterotrophic output. Opportunities exist to use the total RS flux for data assimilation and model benchmarking methods rather than less-certain partitioned fluxes. (3) RS is generally measured at a very different resolution than that needed for comparison to EC or ecosystem- to global-scale models. Downscaling EC fluxes to match the scale of RS, and improvement of RS upscaling techniques will improve resolution challenges. Conclusions RS data can bring a range of benefits to model development, particularly with larger databases and improved data sharing protocols to make RS data more robust and broadly available to the research community.</description><identifier>ISSN: 0032-079X</identifier><identifier>EISSN: 1573-5036</identifier><identifier>DOI: 10.1007/s11104-016-3084-x</identifier><language>eng</language><publisher>Cham: Springer</publisher><subject>Analysis ; Biomedical and Life Sciences ; Carbon cycle ; Data collection ; Datasets ; Ecology ; Life Sciences ; MARSCHNER REVIEW ; Measurement ; Plant Physiology ; Plant Sciences ; Quality control ; Respiration ; Scale models ; Soil carbon ; soil respiration ; Soil Science & Conservation ; Soils</subject><ispartof>Plant and soil, 2017-04, Vol.413 (1/2), p.1-27</ispartof><rights>Springer Science+Business Media 2017</rights><rights>Springer International Publishing Switzerland 2017</rights><rights>COPYRIGHT 2017 Springer</rights><rights>Plant and Soil is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c546t-4eb161fcb9a902e6817c42f1862558ed1169ebe01da5aa393cbfde1e88d1e27e3</citedby><cites>FETCH-LOGICAL-c546t-4eb161fcb9a902e6817c42f1862558ed1169ebe01da5aa393cbfde1e88d1e27e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44245285$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44245285$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,803,885,27924,27925,41488,42557,51319,58017,58250</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1358494$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Phillips, Claire L.</creatorcontrib><creatorcontrib>Bond-Lamberty, Ben</creatorcontrib><creatorcontrib>Desai, Ankur R.</creatorcontrib><creatorcontrib>Lavoie, Martin</creatorcontrib><creatorcontrib>Risk, Dave</creatorcontrib><creatorcontrib>Tang, Jianwu</creatorcontrib><creatorcontrib>Todd-Brown, Katherine</creatorcontrib><creatorcontrib>Vargas, Rodrigo</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><title>The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling</title><title>Plant and soil</title><addtitle>Plant Soil</addtitle><description>Background An acceleration of model-data synthesis activities has leveraged many terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace. Scope We identify three major challenges in interpreting RS data, and opportunities to utilize it more extensively and creatively: (1) When RS is compared to ecosystem respiration (RECO) measured from EC towers, it is not uncommon to find RS > RECO. We argue this is most likely due to difficulties in calculating RECO, which provides an opportunity to utilize RS for EC quality control. (2) RS integrates belowground heterotrophic and autotrophic activity, but many models include only an explicit heterotrophic output. Opportunities exist to use the total RS flux for data assimilation and model benchmarking methods rather than less-certain partitioned fluxes. (3) RS is generally measured at a very different resolution than that needed for comparison to EC or ecosystem- to global-scale models. Downscaling EC fluxes to match the scale of RS, and improvement of RS upscaling techniques will improve resolution challenges. Conclusions RS data can bring a range of benefits to model development, particularly with larger databases and improved data sharing protocols to make RS data more robust and broadly available to the research community.</description><subject>Analysis</subject><subject>Biomedical and Life Sciences</subject><subject>Carbon cycle</subject><subject>Data collection</subject><subject>Datasets</subject><subject>Ecology</subject><subject>Life Sciences</subject><subject>MARSCHNER REVIEW</subject><subject>Measurement</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Quality control</subject><subject>Respiration</subject><subject>Scale models</subject><subject>Soil carbon</subject><subject>soil respiration</subject><subject>Soil Science & Conservation</subject><subject>Soils</subject><issn>0032-079X</issn><issn>1573-5036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU2L1TAUhosoeB39AS6EoBs3HXPy0SbLYRg_YMDNCO5Cmp7eyaVNrkkqM__elIqIC8ki5OR5ck54m-Y10EugtP-QAYCKlkLXcqpE-_CkOYDseSsp7542B0o5a2mvvz9vXuR8otsZukPj7u6R_LTziiROJEc_k4T57JMtPgayoM1rwgVDyWSKifhQMJ0TFh-OxIaRLHHEeTvUejVL8nYmzqah2u7RbVcvm2eTnTO--r1fNN8-3txdf25vv376cn112zoputIKHKCDyQ3aasqwU9A7wSZQHZNS4QjQaRyQwmiltVxzN0wjAio1ArIe-UXzdn835uJNdr6gu3cxBHTFAJdKaFGh9zt0TvHHWgc2i88O59kGjGs2oDSovtNqQ9_9g57imkL9QqUUF6rnilXqcqeOdkbjwxRLsq6uERdfu-Pka_1KSqolo3oTYBdcijknnMw5-cWmRwPUbGGaPUxTwzRbmOahOmx3cmXDEdNfo_xHerNLp1xi-tNFCCYkU5L_AjejrKY</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Phillips, Claire L.</creator><creator>Bond-Lamberty, Ben</creator><creator>Desai, Ankur R.</creator><creator>Lavoie, Martin</creator><creator>Risk, Dave</creator><creator>Tang, Jianwu</creator><creator>Todd-Brown, Katherine</creator><creator>Vargas, Rodrigo</creator><general>Springer</general><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>88A</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>SOI</scope><scope>OTOTI</scope></search><sort><creationdate>20170401</creationdate><title>The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling</title><author>Phillips, Claire L. ; Bond-Lamberty, Ben ; Desai, Ankur R. ; Lavoie, Martin ; Risk, Dave ; Tang, Jianwu ; Todd-Brown, Katherine ; Vargas, Rodrigo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c546t-4eb161fcb9a902e6817c42f1862558ed1169ebe01da5aa393cbfde1e88d1e27e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analysis</topic><topic>Biomedical and Life Sciences</topic><topic>Carbon cycle</topic><topic>Data collection</topic><topic>Datasets</topic><topic>Ecology</topic><topic>Life Sciences</topic><topic>MARSCHNER REVIEW</topic><topic>Measurement</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Quality control</topic><topic>Respiration</topic><topic>Scale models</topic><topic>Soil carbon</topic><topic>soil respiration</topic><topic>Soil Science & Conservation</topic><topic>Soils</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Phillips, Claire L.</creatorcontrib><creatorcontrib>Bond-Lamberty, Ben</creatorcontrib><creatorcontrib>Desai, Ankur R.</creatorcontrib><creatorcontrib>Lavoie, Martin</creatorcontrib><creatorcontrib>Risk, Dave</creatorcontrib><creatorcontrib>Tang, Jianwu</creatorcontrib><creatorcontrib>Todd-Brown, Katherine</creatorcontrib><creatorcontrib>Vargas, Rodrigo</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Biology Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>OSTI.GOV</collection><jtitle>Plant and soil</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Phillips, Claire L.</au><au>Bond-Lamberty, Ben</au><au>Desai, Ankur R.</au><au>Lavoie, Martin</au><au>Risk, Dave</au><au>Tang, Jianwu</au><au>Todd-Brown, Katherine</au><au>Vargas, Rodrigo</au><aucorp>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling</atitle><jtitle>Plant and soil</jtitle><stitle>Plant Soil</stitle><date>2017-04-01</date><risdate>2017</risdate><volume>413</volume><issue>1/2</issue><spage>1</spage><epage>27</epage><pages>1-27</pages><issn>0032-079X</issn><eissn>1573-5036</eissn><abstract>Background An acceleration of model-data synthesis activities has leveraged many terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace. Scope We identify three major challenges in interpreting RS data, and opportunities to utilize it more extensively and creatively: (1) When RS is compared to ecosystem respiration (RECO) measured from EC towers, it is not uncommon to find RS > RECO. We argue this is most likely due to difficulties in calculating RECO, which provides an opportunity to utilize RS for EC quality control. (2) RS integrates belowground heterotrophic and autotrophic activity, but many models include only an explicit heterotrophic output. Opportunities exist to use the total RS flux for data assimilation and model benchmarking methods rather than less-certain partitioned fluxes. (3) RS is generally measured at a very different resolution than that needed for comparison to EC or ecosystem- to global-scale models. Downscaling EC fluxes to match the scale of RS, and improvement of RS upscaling techniques will improve resolution challenges. Conclusions RS data can bring a range of benefits to model development, particularly with larger databases and improved data sharing protocols to make RS data more robust and broadly available to the research community.</abstract><cop>Cham</cop><pub>Springer</pub><doi>10.1007/s11104-016-3084-x</doi><tpages>27</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Biomedical and Life Sciences Carbon cycle Data collection Datasets Ecology Life Sciences MARSCHNER REVIEW Measurement Plant Physiology Plant Sciences Quality control Respiration Scale models Soil carbon soil respiration Soil Science & Conservation Soils |
| title | The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling |
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