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Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice
Modeling stomatal behavior is critical in research on land–atmosphere interactions and climate change. The most common model uses an existing relationship between photosynthesis and stomatal conductance. However, its parameters have been determined using infrequent and leaf‐scale gas‐exchange measur...
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Published in: | Global change biology 2013-07, Vol.19 (7), p.2209-2220 |
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description | Modeling stomatal behavior is critical in research on land–atmosphere interactions and climate change. The most common model uses an existing relationship between photosynthesis and stomatal conductance. However, its parameters have been determined using infrequent and leaf‐scale gas‐exchange measurements and may not be representative of the whole canopy in time and space. In this study, we used a top‐down approach based on a double‐source canopy model and eddy flux measurements throughout the growing season. Using this approach, we quantified the canopy‐scale relationship between gross photosynthesis and stomatal conductance for 3 years and their relationships with leaf nitrogen content throughout each growing season above a paddy rice canopy in Japan. The canopy‐averaged stomatal conductance (gsc) increased with increasing gross photosynthesis per unit green leaf area (Ag), as was the case with leaf‐scale measurements, and 41–90% of its variation was explained by variations in Ag adjusted to account for the leaf‐to‐air vapor‐pressure deficit and CO2 concentration using the Leuning model. The slope (m) in this model (gsc versus the adjusted Ag) was almost constant within a 15‐day period, but changed seasonally. The m values determined using an ensemble dataset for two mid‐growing‐season 15‐day periods were 30.8 (SE = 0.5), 29.9 (SE = 0.7), and 29.9 (SE = 0.6) in 2004, 2005, and 2006, respectively; the overall mid‐season value was 30.3 and did not greatly differ among the 3 years. However, m appeared to be higher during the early and late growing seasons. The ontogenic changes in leaf nitrogen content strongly affected Ag and thus gsc. In addition, we have discussed the agronomic impacts of the interactions between leaf nitrogen content and gsc. Despite limitations in the observations and modeling, our canopy‐scale results emphasize the importance of continuous, season‐long estimates of stomatal model parameters for crops using top‐down approaches. |
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The most common model uses an existing relationship between photosynthesis and stomatal conductance. However, its parameters have been determined using infrequent and leaf‐scale gas‐exchange measurements and may not be representative of the whole canopy in time and space. In this study, we used a top‐down approach based on a double‐source canopy model and eddy flux measurements throughout the growing season. Using this approach, we quantified the canopy‐scale relationship between gross photosynthesis and stomatal conductance for 3 years and their relationships with leaf nitrogen content throughout each growing season above a paddy rice canopy in Japan. The canopy‐averaged stomatal conductance (gsc) increased with increasing gross photosynthesis per unit green leaf area (Ag), as was the case with leaf‐scale measurements, and 41–90% of its variation was explained by variations in Ag adjusted to account for the leaf‐to‐air vapor‐pressure deficit and CO2 concentration using the Leuning model. The slope (m) in this model (gsc versus the adjusted Ag) was almost constant within a 15‐day period, but changed seasonally. The m values determined using an ensemble dataset for two mid‐growing‐season 15‐day periods were 30.8 (SE = 0.5), 29.9 (SE = 0.7), and 29.9 (SE = 0.6) in 2004, 2005, and 2006, respectively; the overall mid‐season value was 30.3 and did not greatly differ among the 3 years. However, m appeared to be higher during the early and late growing seasons. The ontogenic changes in leaf nitrogen content strongly affected Ag and thus gsc. In addition, we have discussed the agronomic impacts of the interactions between leaf nitrogen content and gsc. Despite limitations in the observations and modeling, our canopy‐scale results emphasize the importance of continuous, season‐long estimates of stomatal model parameters for crops using top‐down approaches.</description><identifier>ISSN: 1354-1013</identifier><identifier>EISSN: 1365-2486</identifier><identifier>DOI: 10.1111/gcb.12188</identifier><identifier>PMID: 23504912</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>Agricultural Irrigation ; agroecosystems ; Agronomy. Soil science and plant productions ; Animal and plant ecology ; Animal, plant and microbial ecology ; Biological and medical sciences ; canopy micrometeorology ; China ; Climate change ; CO2 flux ; crop physiology ; eddy covariance ; evapotranspiration ; Fundamental and applied biological sciences. Psychology ; General agroecology ; General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping ; General agronomy. Plant production ; General aspects ; Generalities. Agricultural and farming systems. Agricultural development ; Irrigation ; leaf nitrogen ; Models, Biological ; net ecosystem exchange ; Oryza - growth & development ; Oryza - physiology ; Oryza sativa ; Photosynthesis ; Photosynthesis - physiology ; Plant biology ; Plant Stomata - growth & development ; Plant Stomata - physiology ; Rice ; Seasons ; surface energy balance ; Synecology ; Time Factors ; water-use efficiency ; Weather</subject><ispartof>Global change biology, 2013-07, Vol.19 (7), p.2209-2220</ispartof><rights>2013 Blackwell Publishing Ltd</rights><rights>2014 INIST-CNRS</rights><rights>2013 Blackwell Publishing Ltd.</rights><rights>Copyright © 2013 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5208-4c1d57151376fe51017d27e6db1083f8d71b1c0730432b3e2c9b250059c36c1d3</citedby><cites>FETCH-LOGICAL-c5208-4c1d57151376fe51017d27e6db1083f8d71b1c0730432b3e2c9b250059c36c1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27454484$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23504912$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ono, Keisuke</creatorcontrib><creatorcontrib>Maruyama, Atsushi</creatorcontrib><creatorcontrib>Kuwagata, Tsuneo</creatorcontrib><creatorcontrib>Mano, Masayoshi</creatorcontrib><creatorcontrib>Takimoto, Takahiro</creatorcontrib><creatorcontrib>Hayashi, Kentaro</creatorcontrib><creatorcontrib>Hasegawa, Toshihiro</creatorcontrib><creatorcontrib>Miyata, Akira</creatorcontrib><title>Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice</title><title>Global change biology</title><addtitle>Glob Change Biol</addtitle><description>Modeling stomatal behavior is critical in research on land–atmosphere interactions and climate change. The most common model uses an existing relationship between photosynthesis and stomatal conductance. However, its parameters have been determined using infrequent and leaf‐scale gas‐exchange measurements and may not be representative of the whole canopy in time and space. In this study, we used a top‐down approach based on a double‐source canopy model and eddy flux measurements throughout the growing season. Using this approach, we quantified the canopy‐scale relationship between gross photosynthesis and stomatal conductance for 3 years and their relationships with leaf nitrogen content throughout each growing season above a paddy rice canopy in Japan. The canopy‐averaged stomatal conductance (gsc) increased with increasing gross photosynthesis per unit green leaf area (Ag), as was the case with leaf‐scale measurements, and 41–90% of its variation was explained by variations in Ag adjusted to account for the leaf‐to‐air vapor‐pressure deficit and CO2 concentration using the Leuning model. The slope (m) in this model (gsc versus the adjusted Ag) was almost constant within a 15‐day period, but changed seasonally. The m values determined using an ensemble dataset for two mid‐growing‐season 15‐day periods were 30.8 (SE = 0.5), 29.9 (SE = 0.7), and 29.9 (SE = 0.6) in 2004, 2005, and 2006, respectively; the overall mid‐season value was 30.3 and did not greatly differ among the 3 years. However, m appeared to be higher during the early and late growing seasons. The ontogenic changes in leaf nitrogen content strongly affected Ag and thus gsc. In addition, we have discussed the agronomic impacts of the interactions between leaf nitrogen content and gsc. Despite limitations in the observations and modeling, our canopy‐scale results emphasize the importance of continuous, season‐long estimates of stomatal model parameters for crops using top‐down approaches.</description><subject>Agricultural Irrigation</subject><subject>agroecosystems</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>canopy micrometeorology</subject><subject>China</subject><subject>Climate change</subject><subject>CO2 flux</subject><subject>crop physiology</subject><subject>eddy covariance</subject><subject>evapotranspiration</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agroecology</subject><subject>General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping</subject><subject>General agronomy. Plant production</subject><subject>General aspects</subject><subject>Generalities. Agricultural and farming systems. Agricultural development</subject><subject>Irrigation</subject><subject>leaf nitrogen</subject><subject>Models, Biological</subject><subject>net ecosystem exchange</subject><subject>Oryza - growth & development</subject><subject>Oryza - physiology</subject><subject>Oryza sativa</subject><subject>Photosynthesis</subject><subject>Photosynthesis - physiology</subject><subject>Plant biology</subject><subject>Plant Stomata - growth & development</subject><subject>Plant Stomata - physiology</subject><subject>Rice</subject><subject>Seasons</subject><subject>surface energy balance</subject><subject>Synecology</subject><subject>Time Factors</subject><subject>water-use efficiency</subject><subject>Weather</subject><issn>1354-1013</issn><issn>1365-2486</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqN0U1v1DAQBuAIUdFSOPAHUCSEBIe0_rZzpAtsqy7lAuoFyXKcSdclawc7Udl_j8Nui4SEhC_24Znx2G9RvMDoBOd1emObE0ywUo-KI0wFrwhT4vF85qzCCNPD4mlKtwghSpB4UhwSyhGrMTkqvi2MD8O2Stb0UEbozeiCT2s3pLKB8Q7Al2kMGzOavrTBt5MdjbdQGt-WwzqMIW39uIbkUul86WJ0N2aEtozOwrPioDN9guf7_bj4-vHDl8V5tfq8vFi8W1WWE6QqZnHLJeaYStEBzwPLlkgQbYORop1qJW6wRZIiRklDgdi6IRwhXlsqci09Lt7s-g4x_JggjXrjkoW-Nx7ClHRuTBCXStb_QQWvlWCYZfrqL3obpujzQ2bFFCVciaze7pSNIaUInR6i25i41RjpOR2d09G_08n25b7j1GygfZD3cWTweg_MHEgX81e79MdJxhlT82inO3fnetj--0a9XJzdX13tKlwa4edDhYnftZBUcn19tdSfLs-vV5dX7_UZ_QVuUrOM</recordid><startdate>201307</startdate><enddate>201307</enddate><creator>Ono, Keisuke</creator><creator>Maruyama, Atsushi</creator><creator>Kuwagata, Tsuneo</creator><creator>Mano, Masayoshi</creator><creator>Takimoto, Takahiro</creator><creator>Hayashi, Kentaro</creator><creator>Hasegawa, Toshihiro</creator><creator>Miyata, Akira</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><scope>BSCLL</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>7SN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>7X8</scope><scope>7ST</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>201307</creationdate><title>Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice</title><author>Ono, Keisuke ; Maruyama, Atsushi ; Kuwagata, Tsuneo ; Mano, Masayoshi ; Takimoto, Takahiro ; Hayashi, Kentaro ; Hasegawa, Toshihiro ; Miyata, Akira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5208-4c1d57151376fe51017d27e6db1083f8d71b1c0730432b3e2c9b250059c36c1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Agricultural Irrigation</topic><topic>agroecosystems</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>canopy micrometeorology</topic><topic>China</topic><topic>Climate change</topic><topic>CO2 flux</topic><topic>crop physiology</topic><topic>eddy covariance</topic><topic>evapotranspiration</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agroecology</topic><topic>General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping</topic><topic>General agronomy. Plant production</topic><topic>General aspects</topic><topic>Generalities. Agricultural and farming systems. Agricultural development</topic><topic>Irrigation</topic><topic>leaf nitrogen</topic><topic>Models, Biological</topic><topic>net ecosystem exchange</topic><topic>Oryza - growth & development</topic><topic>Oryza - physiology</topic><topic>Oryza sativa</topic><topic>Photosynthesis</topic><topic>Photosynthesis - physiology</topic><topic>Plant biology</topic><topic>Plant Stomata - growth & development</topic><topic>Plant Stomata - physiology</topic><topic>Rice</topic><topic>Seasons</topic><topic>surface energy balance</topic><topic>Synecology</topic><topic>Time Factors</topic><topic>water-use efficiency</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ono, Keisuke</creatorcontrib><creatorcontrib>Maruyama, Atsushi</creatorcontrib><creatorcontrib>Kuwagata, Tsuneo</creatorcontrib><creatorcontrib>Mano, Masayoshi</creatorcontrib><creatorcontrib>Takimoto, Takahiro</creatorcontrib><creatorcontrib>Hayashi, Kentaro</creatorcontrib><creatorcontrib>Hasegawa, Toshihiro</creatorcontrib><creatorcontrib>Miyata, Akira</creatorcontrib><collection>Istex</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>Ecology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Global change biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ono, Keisuke</au><au>Maruyama, Atsushi</au><au>Kuwagata, Tsuneo</au><au>Mano, Masayoshi</au><au>Takimoto, Takahiro</au><au>Hayashi, Kentaro</au><au>Hasegawa, Toshihiro</au><au>Miyata, Akira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice</atitle><jtitle>Global change biology</jtitle><addtitle>Glob Change Biol</addtitle><date>2013-07</date><risdate>2013</risdate><volume>19</volume><issue>7</issue><spage>2209</spage><epage>2220</epage><pages>2209-2220</pages><issn>1354-1013</issn><eissn>1365-2486</eissn><abstract>Modeling stomatal behavior is critical in research on land–atmosphere interactions and climate change. The most common model uses an existing relationship between photosynthesis and stomatal conductance. However, its parameters have been determined using infrequent and leaf‐scale gas‐exchange measurements and may not be representative of the whole canopy in time and space. In this study, we used a top‐down approach based on a double‐source canopy model and eddy flux measurements throughout the growing season. Using this approach, we quantified the canopy‐scale relationship between gross photosynthesis and stomatal conductance for 3 years and their relationships with leaf nitrogen content throughout each growing season above a paddy rice canopy in Japan. The canopy‐averaged stomatal conductance (gsc) increased with increasing gross photosynthesis per unit green leaf area (Ag), as was the case with leaf‐scale measurements, and 41–90% of its variation was explained by variations in Ag adjusted to account for the leaf‐to‐air vapor‐pressure deficit and CO2 concentration using the Leuning model. The slope (m) in this model (gsc versus the adjusted Ag) was almost constant within a 15‐day period, but changed seasonally. The m values determined using an ensemble dataset for two mid‐growing‐season 15‐day periods were 30.8 (SE = 0.5), 29.9 (SE = 0.7), and 29.9 (SE = 0.6) in 2004, 2005, and 2006, respectively; the overall mid‐season value was 30.3 and did not greatly differ among the 3 years. However, m appeared to be higher during the early and late growing seasons. The ontogenic changes in leaf nitrogen content strongly affected Ag and thus gsc. In addition, we have discussed the agronomic impacts of the interactions between leaf nitrogen content and gsc. Despite limitations in the observations and modeling, our canopy‐scale results emphasize the importance of continuous, season‐long estimates of stomatal model parameters for crops using top‐down approaches.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><pmid>23504912</pmid><doi>10.1111/gcb.12188</doi><tpages>12</tpages></addata></record> |
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subjects | Agricultural Irrigation agroecosystems Agronomy. Soil science and plant productions Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences canopy micrometeorology China Climate change CO2 flux crop physiology eddy covariance evapotranspiration Fundamental and applied biological sciences. Psychology General agroecology General agroecology. Agricultural and farming systems. Agricultural development. Rural area planning. Landscaping General agronomy. Plant production General aspects Generalities. Agricultural and farming systems. Agricultural development Irrigation leaf nitrogen Models, Biological net ecosystem exchange Oryza - growth & development Oryza - physiology Oryza sativa Photosynthesis Photosynthesis - physiology Plant biology Plant Stomata - growth & development Plant Stomata - physiology Rice Seasons surface energy balance Synecology Time Factors water-use efficiency Weather |
title | Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice |
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