Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis
Remote sensing of solar‐induced fluorescence (SIF) opens a new window for quantifying a key ecological variable, the terrestrial ecosystem gross primary production (GPP), because of the revealed strong SIF–GPP correlation. However, similar to many other remotely sensed metrics, SIF observations suff...
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| Veröffentlicht in: | Global change biology 2021-05, Vol.27 (10), p.2144-2158 |
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| creator | Hao, Dalei Asrar, Ghassem R. Zeng, Yelu Yang, Xi Li, Xing Xiao, Jingfeng Guan, Kaiyu Wen, Jianguang Xiao, Qing Berry, Joseph A. Chen, Min |
| description | Remote sensing of solar‐induced fluorescence (SIF) opens a new window for quantifying a key ecological variable, the terrestrial ecosystem gross primary production (GPP), because of the revealed strong SIF–GPP correlation. However, similar to many other remotely sensed metrics, SIF observations suffer from the sun‐sensor geometry effects, which may have important impacts on the SIF–GPP relationship but remain poorly understood. Here we used remotely sensed SIF, globally distributed tower GPP data, and a mechanistic model to provide a systematic analysis. Our results reveal that leaf physiology, canopy structure, and sun‐sensor geometries all affect the SIF–GPP relationship. In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP due to the similar responses of light use efficiency and SIF escaping probability in the hotspot direction to the increasing incoming solar radiation. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations. This study also demonstrates the great potentials of current and future spaceborne sun‐tracking satellite missions for a significant improvement in measuring and monitoring, at a wide range of spatial and temporal scales, the changes in terrestrial ecosystem GPP in response to anticipated changes in the Earth's environmental conditions.
Leaf physiology, canopy structure, and sun‐sensor geometries all affect the relationship between solar‐induced fluorescence (SIF) and terrestrial ecosystem gross primary production (GPP). In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations. |
| doi_str_mv | 10.1111/gcb.15554 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1804922</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2513080965</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4814-7ac27b95535d0988d2b302beb64e99f15c67418de88a33f33882c8c06c072a273</originalsourceid><addsrcrecordid>eNp1kMtO3TAQhq0KVCjtoi-ALLrqIhxf4sRZliMulZBg0a6tZDI5CTVxajuqzq6PwDPyJPgQYMdsZkbz6dPoJ-QrZ6c81WoDzSlXSuUfyCGXhcpErou93azyjDMuD8inEO4YY1Kw4iM5kFIVTGl1SOytizjGobbUdbR3MUwu0uBs7R__PwxjOwO2FHrrvJv6rbW0s7PzGABHQNo5TxuMET2NvoY_w7ihaUn36HfOKRld2I6xxzCEz2S_q23ALy_9iPy-OP-1vsquby5_rn9cZ5BrnmdlDaJsKqWkalmldSsayUSDTZFjVXVcQVHmXLeodS1lJ6XWAjSwAlgpalHKI3KyeF2IgwkwRIQe3DgiRMM1yyshEvRtgSbv_s7pYXPnZj-mv4xQXDLNqkIl6vtCgXcheOzM5If72m8NZ2YXvknhm-fwE3v8Ypybe2zfyNe0E7BagH-Dxe37JnO5PluUT0pxj-8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2513080965</pqid></control><display><type>article</type><title>Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis</title><source>MEDLINE</source><source>Wiley Journals</source><creator>Hao, Dalei ; Asrar, Ghassem R. ; Zeng, Yelu ; Yang, Xi ; Li, Xing ; Xiao, Jingfeng ; Guan, Kaiyu ; Wen, Jianguang ; Xiao, Qing ; Berry, Joseph A. ; Chen, Min</creator><creatorcontrib>Hao, Dalei ; Asrar, Ghassem R. ; Zeng, Yelu ; Yang, Xi ; Li, Xing ; Xiao, Jingfeng ; Guan, Kaiyu ; Wen, Jianguang ; Xiao, Qing ; Berry, Joseph A. ; Chen, Min</creatorcontrib><description>Remote sensing of solar‐induced fluorescence (SIF) opens a new window for quantifying a key ecological variable, the terrestrial ecosystem gross primary production (GPP), because of the revealed strong SIF–GPP correlation. However, similar to many other remotely sensed metrics, SIF observations suffer from the sun‐sensor geometry effects, which may have important impacts on the SIF–GPP relationship but remain poorly understood. Here we used remotely sensed SIF, globally distributed tower GPP data, and a mechanistic model to provide a systematic analysis. Our results reveal that leaf physiology, canopy structure, and sun‐sensor geometries all affect the SIF–GPP relationship. In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP due to the similar responses of light use efficiency and SIF escaping probability in the hotspot direction to the increasing incoming solar radiation. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations. This study also demonstrates the great potentials of current and future spaceborne sun‐tracking satellite missions for a significant improvement in measuring and monitoring, at a wide range of spatial and temporal scales, the changes in terrestrial ecosystem GPP in response to anticipated changes in the Earth's environmental conditions.
Leaf physiology, canopy structure, and sun‐sensor geometries all affect the relationship between solar‐induced fluorescence (SIF) and terrestrial ecosystem gross primary production (GPP). In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations.</description><identifier>ISSN: 1354-1013</identifier><identifier>EISSN: 1365-2486</identifier><identifier>DOI: 10.1111/gcb.15554</identifier><identifier>PMID: 33560585</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>angular normalization ; Chlorophyll ; Chlorophyll - analysis ; Chlorophylls ; Direction ; directional effects ; DSCOVR ; Ecosystem ; Environmental changes ; Environmental conditions ; Environmental Monitoring ; EPIC ; Fluorescence ; gross primary production ; Hot spots ; Light effects ; Model testing ; MODIS ; Normalizing ; OCO‐2 ; Photosynthesis ; Plant cover ; Primary production ; Probability theory ; Remote sensing ; Remote sensors ; Satellite observation ; Satellite tracking ; Satellites ; Seasons ; Sensors ; Solar radiation ; Sun ; sun‐induced fluorescence ; sun‐sensor geometry effects ; Terrestrial ecosystems ; Terrestrial environments</subject><ispartof>Global change biology, 2021-05, Vol.27 (10), p.2144-2158</ispartof><rights>2021 John Wiley & Sons Ltd</rights><rights>2021 John Wiley & Sons Ltd.</rights><rights>Copyright © 2021 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4814-7ac27b95535d0988d2b302beb64e99f15c67418de88a33f33882c8c06c072a273</citedby><cites>FETCH-LOGICAL-c4814-7ac27b95535d0988d2b302beb64e99f15c67418de88a33f33882c8c06c072a273</cites><orcidid>0000-0001-6311-7124 ; 0000-0003-4267-1841 ; 0000-0002-5095-6735 ; 0000-0002-0622-6903 ; 0000-0001-7154-6332 ; 0000000163117124 ; 0000000171546332 ; 0000000342671841 ; 0000000250956735 ; 0000000206226903</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fgcb.15554$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fgcb.15554$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33560585$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1804922$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Hao, Dalei</creatorcontrib><creatorcontrib>Asrar, Ghassem R.</creatorcontrib><creatorcontrib>Zeng, Yelu</creatorcontrib><creatorcontrib>Yang, Xi</creatorcontrib><creatorcontrib>Li, Xing</creatorcontrib><creatorcontrib>Xiao, Jingfeng</creatorcontrib><creatorcontrib>Guan, Kaiyu</creatorcontrib><creatorcontrib>Wen, Jianguang</creatorcontrib><creatorcontrib>Xiao, Qing</creatorcontrib><creatorcontrib>Berry, Joseph A.</creatorcontrib><creatorcontrib>Chen, Min</creatorcontrib><title>Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis</title><title>Global change biology</title><addtitle>Glob Chang Biol</addtitle><description>Remote sensing of solar‐induced fluorescence (SIF) opens a new window for quantifying a key ecological variable, the terrestrial ecosystem gross primary production (GPP), because of the revealed strong SIF–GPP correlation. However, similar to many other remotely sensed metrics, SIF observations suffer from the sun‐sensor geometry effects, which may have important impacts on the SIF–GPP relationship but remain poorly understood. Here we used remotely sensed SIF, globally distributed tower GPP data, and a mechanistic model to provide a systematic analysis. Our results reveal that leaf physiology, canopy structure, and sun‐sensor geometries all affect the SIF–GPP relationship. In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP due to the similar responses of light use efficiency and SIF escaping probability in the hotspot direction to the increasing incoming solar radiation. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations. This study also demonstrates the great potentials of current and future spaceborne sun‐tracking satellite missions for a significant improvement in measuring and monitoring, at a wide range of spatial and temporal scales, the changes in terrestrial ecosystem GPP in response to anticipated changes in the Earth's environmental conditions.
Leaf physiology, canopy structure, and sun‐sensor geometries all affect the relationship between solar‐induced fluorescence (SIF) and terrestrial ecosystem gross primary production (GPP). In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations.</description><subject>angular normalization</subject><subject>Chlorophyll</subject><subject>Chlorophyll - analysis</subject><subject>Chlorophylls</subject><subject>Direction</subject><subject>directional effects</subject><subject>DSCOVR</subject><subject>Ecosystem</subject><subject>Environmental changes</subject><subject>Environmental conditions</subject><subject>Environmental Monitoring</subject><subject>EPIC</subject><subject>Fluorescence</subject><subject>gross primary production</subject><subject>Hot spots</subject><subject>Light effects</subject><subject>Model testing</subject><subject>MODIS</subject><subject>Normalizing</subject><subject>OCO‐2</subject><subject>Photosynthesis</subject><subject>Plant cover</subject><subject>Primary production</subject><subject>Probability theory</subject><subject>Remote sensing</subject><subject>Remote sensors</subject><subject>Satellite observation</subject><subject>Satellite tracking</subject><subject>Satellites</subject><subject>Seasons</subject><subject>Sensors</subject><subject>Solar radiation</subject><subject>Sun</subject><subject>sun‐induced fluorescence</subject><subject>sun‐sensor geometry effects</subject><subject>Terrestrial ecosystems</subject><subject>Terrestrial environments</subject><issn>1354-1013</issn><issn>1365-2486</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kMtO3TAQhq0KVCjtoi-ALLrqIhxf4sRZliMulZBg0a6tZDI5CTVxajuqzq6PwDPyJPgQYMdsZkbz6dPoJ-QrZ6c81WoDzSlXSuUfyCGXhcpErou93azyjDMuD8inEO4YY1Kw4iM5kFIVTGl1SOytizjGobbUdbR3MUwu0uBs7R__PwxjOwO2FHrrvJv6rbW0s7PzGABHQNo5TxuMET2NvoY_w7ihaUn36HfOKRld2I6xxzCEz2S_q23ALy_9iPy-OP-1vsquby5_rn9cZ5BrnmdlDaJsKqWkalmldSsayUSDTZFjVXVcQVHmXLeodS1lJ6XWAjSwAlgpalHKI3KyeF2IgwkwRIQe3DgiRMM1yyshEvRtgSbv_s7pYXPnZj-mv4xQXDLNqkIl6vtCgXcheOzM5If72m8NZ2YXvknhm-fwE3v8Ypybe2zfyNe0E7BagH-Dxe37JnO5PluUT0pxj-8</recordid><startdate>202105</startdate><enddate>202105</enddate><creator>Hao, Dalei</creator><creator>Asrar, Ghassem R.</creator><creator>Zeng, Yelu</creator><creator>Yang, Xi</creator><creator>Li, Xing</creator><creator>Xiao, Jingfeng</creator><creator>Guan, Kaiyu</creator><creator>Wen, Jianguang</creator><creator>Xiao, Qing</creator><creator>Berry, Joseph A.</creator><creator>Chen, Min</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><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>OTOTI</scope><orcidid>https://orcid.org/0000-0001-6311-7124</orcidid><orcidid>https://orcid.org/0000-0003-4267-1841</orcidid><orcidid>https://orcid.org/0000-0002-5095-6735</orcidid><orcidid>https://orcid.org/0000-0002-0622-6903</orcidid><orcidid>https://orcid.org/0000-0001-7154-6332</orcidid><orcidid>https://orcid.org/0000000163117124</orcidid><orcidid>https://orcid.org/0000000171546332</orcidid><orcidid>https://orcid.org/0000000342671841</orcidid><orcidid>https://orcid.org/0000000250956735</orcidid><orcidid>https://orcid.org/0000000206226903</orcidid></search><sort><creationdate>202105</creationdate><title>Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis</title><author>Hao, Dalei ; 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However, similar to many other remotely sensed metrics, SIF observations suffer from the sun‐sensor geometry effects, which may have important impacts on the SIF–GPP relationship but remain poorly understood. Here we used remotely sensed SIF, globally distributed tower GPP data, and a mechanistic model to provide a systematic analysis. Our results reveal that leaf physiology, canopy structure, and sun‐sensor geometries all affect the SIF–GPP relationship. In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP due to the similar responses of light use efficiency and SIF escaping probability in the hotspot direction to the increasing incoming solar radiation. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations. This study also demonstrates the great potentials of current and future spaceborne sun‐tracking satellite missions for a significant improvement in measuring and monitoring, at a wide range of spatial and temporal scales, the changes in terrestrial ecosystem GPP in response to anticipated changes in the Earth's environmental conditions.
Leaf physiology, canopy structure, and sun‐sensor geometries all affect the relationship between solar‐induced fluorescence (SIF) and terrestrial ecosystem gross primary production (GPP). In particular, we found that SIF observations in the sun‐tracking hotspot direction can be a better proxy of GPP. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>33560585</pmid><doi>10.1111/gcb.15554</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-6311-7124</orcidid><orcidid>https://orcid.org/0000-0003-4267-1841</orcidid><orcidid>https://orcid.org/0000-0002-5095-6735</orcidid><orcidid>https://orcid.org/0000-0002-0622-6903</orcidid><orcidid>https://orcid.org/0000-0001-7154-6332</orcidid><orcidid>https://orcid.org/0000000163117124</orcidid><orcidid>https://orcid.org/0000000171546332</orcidid><orcidid>https://orcid.org/0000000342671841</orcidid><orcidid>https://orcid.org/0000000250956735</orcidid><orcidid>https://orcid.org/0000000206226903</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | angular normalization Chlorophyll Chlorophyll - analysis Chlorophylls Direction directional effects DSCOVR Ecosystem Environmental changes Environmental conditions Environmental Monitoring EPIC Fluorescence gross primary production Hot spots Light effects Model testing MODIS Normalizing OCO‐2 Photosynthesis Plant cover Primary production Probability theory Remote sensing Remote sensors Satellite observation Satellite tracking Satellites Seasons Sensors Solar radiation Sun sun‐induced fluorescence sun‐sensor geometry effects Terrestrial ecosystems Terrestrial environments |
| title | Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis |
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