Skip to main content
Erschienen in: Environmental Earth Sciences 8/2024

01.04.2024 | Original Article

Integrating multi-source datasets in exploring the covariation of gross primary productivity (GPP) and solar-induced chlorophyll fluorescence (SIF) at an Indian tropical forest flux site

verfasst von: Manoj Hari, Govindan Kutty, Bhishma Tyagi

Erschienen in: Environmental Earth Sciences | Ausgabe 8/2024

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Accurate measurement and monitoring of ecosystem productivity play a pivotal role in comprehending the intricate dynamics of the Earth system, particularly in the light of anthropogenic forcing. Sun-induced chlorophyll fluorescence (SIF), serving as a proxy, has garnered attention for its potential to elucidate the dynamics of terrestrial productivity by the existence of its mechanistic link with photosynthesis. Nevertheless, physiological mechanisms that regulate the relationship between the dynamics of gross primary productivity (GPP) and SIF remain shrouded in mystery. To better accommodate the research community on GPP–SIF relation, our study attempts to offer potential results by integrating multi-source Earth observation SIF and in-situ eddy flux datasets at an ecosystem level in India. The results elucidate that the studied ecosystem consistently acted as a steady CO2 sink over the observed period, displaying a prominent double-hump seasonality and a solid correlation with SIF. Notably, this correlation was synchronous with the daily transitions of GPP. The integration of multi-source carbon fluxes and SIF datasets demonstrated a strong agreement with the in-situ data, reinforcing the reliability of our results. Our redundancy analysis by threshold binning underscores the significant positive influence of vapour pressure deficit (VPD) and photosynthetically active radiation (PAR), critical factors driving GPP and SIF, across a spectrum of temporal scales, ranging from the transient fluctuations of a day to annual panoramas. In essence, our study advocates for the synergistic utilisation of diverse datasets to unravel the underlying processes governing the relationship between GPP and SIF at multiple temporal scales. Our results and analyses are poised to propel interdisciplinary research forward by introducing novel dimensions to the GPP–SIF relationship in the Indian subcontinent.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Burba G, Anderson D (2010) A brief practical guide to eddy covariance flux measurements: principles and workflow examples for scientific and industrial applications. LI-COR Biosciences, Nebraska Burba G, Anderson D (2010) A brief practical guide to eddy covariance flux measurements: principles and workflow examples for scientific and industrial applications. LI-COR Biosciences, Nebraska
Zurück zum Zitat Cheng Y-B, Middleton E, Zhang Q, Huemmrich K, Campbell P, Corp L, Cook B, Kustas W, Daughtry C (2013) Integrating solar induced fluorescence and the photochemical reflectance index for estimating gross primary production in a cornfield. Remote Sens 5:6857–6879. https://doi.org/10.3390/rs5126857CrossRef Cheng Y-B, Middleton E, Zhang Q, Huemmrich K, Campbell P, Corp L, Cook B, Kustas W, Daughtry C (2013) Integrating solar induced fluorescence and the photochemical reflectance index for estimating gross primary production in a cornfield. Remote Sens 5:6857–6879. https://​doi.​org/​10.​3390/​rs5126857CrossRef
Zurück zum Zitat Cui Y, Xiao X, Zhang Y, Dong J, Qin Y, Doughty RB, Zhang G, Wang J, Wu X, Qin Y, Zhou S, Joiner J, Moore B (2017) Temporal consistency between gross primary production and solar-induced chlorophyll fluorescence in the ten most populous megacity areas over years. Sci Rep 7:14963. https://doi.org/10.1038/s41598-017-13783-5CrossRef Cui Y, Xiao X, Zhang Y, Dong J, Qin Y, Doughty RB, Zhang G, Wang J, Wu X, Qin Y, Zhou S, Joiner J, Moore B (2017) Temporal consistency between gross primary production and solar-induced chlorophyll fluorescence in the ten most populous megacity areas over years. Sci Rep 7:14963. https://​doi.​org/​10.​1038/​s41598-017-13783-5CrossRef
Zurück zum Zitat Damm A, Guanter L, Paul-Limoges E, van der Tol C, Hueni A, Buchmann N, Eugster W, Ammann C, Schaepman ME (2015) Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: an assessment based on observational and modeling approaches. Remote Sens Environ 166:91–105. https://doi.org/10.1016/j.rse.2015.06.004CrossRef Damm A, Guanter L, Paul-Limoges E, van der Tol C, Hueni A, Buchmann N, Eugster W, Ammann C, Schaepman ME (2015) Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: an assessment based on observational and modeling approaches. Remote Sens Environ 166:91–105. https://​doi.​org/​10.​1016/​j.​rse.​2015.​06.​004CrossRef
Zurück zum Zitat Frankenberg C, Fisher JB, Worden J, Badgley G, Saatchi SS, Lee J-E, Toon GC, Butz A, Jung M, Kuze A, Yokota T (2011) New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophys Res Lett. https://doi.org/10.1029/2011GL048738CrossRef Frankenberg C, Fisher JB, Worden J, Badgley G, Saatchi SS, Lee J-E, Toon GC, Butz A, Jung M, Kuze A, Yokota T (2011) New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophys Res Lett. https://​doi.​org/​10.​1029/​2011GL048738CrossRef
Zurück zum Zitat Gao H, Liu S, Lu W, Smith AR, Valbuena R, Yan W, Wang Z, Xiao L, Peng X, Li Q, Feng Y, McDonald M, Pagella T, Liao J, Wu Z, Zhang G (2021) Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP). Remote Sens 13:2824. https://doi.org/10.3390/rs13142824CrossRef Gao H, Liu S, Lu W, Smith AR, Valbuena R, Yan W, Wang Z, Xiao L, Peng X, Li Q, Feng Y, McDonald M, Pagella T, Liao J, Wu Z, Zhang G (2021) Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP). Remote Sens 13:2824. https://​doi.​org/​10.​3390/​rs13142824CrossRef
Zurück zum Zitat Guanter L, Bacour C, Schneider A, Aben I, van Kempen T, Maignan F, Retscher C, Köhler P, Frankenberg C, Joiner J, Zhang Y (2021) The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission. Earth Syst Sci Data Discuss 202104:1–27. https://doi.org/10.5194/essd-2021-199CrossRef Guanter L, Bacour C, Schneider A, Aben I, van Kempen T, Maignan F, Retscher C, Köhler P, Frankenberg C, Joiner J, Zhang Y (2021) The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission. Earth Syst Sci Data Discuss 202104:1–27. https://​doi.​org/​10.​5194/​essd-2021-199CrossRef
Zurück zum Zitat He W, Ju W, Jiang F, Parazoo N, Gentine P, Wu X, Zhang C, Zhu J, Viovy N, Jain AK, Sitch S, Friedlingstein P (2021) Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America. Agric for Meteorol 298–299:108292. https://doi.org/10.1016/j.agrformet.2020.108292CrossRef He W, Ju W, Jiang F, Parazoo N, Gentine P, Wu X, Zhang C, Zhu J, Viovy N, Jain AK, Sitch S, Friedlingstein P (2021) Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America. Agric for Meteorol 298–299:108292. https://​doi.​org/​10.​1016/​j.​agrformet.​2020.​108292CrossRef
Zurück zum Zitat Joiner J, Guanter L, Lindstrot R, Voigt M, Vasilkov AP, Middleton EM, Huemmrich KF, Yoshida Y, Frankenberg C (2013) Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmos Meas Tech 6:2803–2823. https://doi.org/10.5194/amt-6-2803-2013CrossRef Joiner J, Guanter L, Lindstrot R, Voigt M, Vasilkov AP, Middleton EM, Huemmrich KF, Yoshida Y, Frankenberg C (2013) Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmos Meas Tech 6:2803–2823. https://​doi.​org/​10.​5194/​amt-6-2803-2013CrossRef
Zurück zum Zitat Jones LA, Kimball JS, Reichle RH, Madani N, Glassy J, Ardizzone JV, Colliander A, Cleverly J, Desai AR, Eamus D, Euskirchen ES, Hutley L, Macfarlane C, Scott RL (2017) The SMAP level 4 carbon product for monitoring ecosystem land-atmosphere CO 2 exchange. IEEE Trans Geosci Remote Sens 55:6517–6532. https://doi.org/10.1109/TGRS.2017.2729343CrossRef Jones LA, Kimball JS, Reichle RH, Madani N, Glassy J, Ardizzone JV, Colliander A, Cleverly J, Desai AR, Eamus D, Euskirchen ES, Hutley L, Macfarlane C, Scott RL (2017) The SMAP level 4 carbon product for monitoring ecosystem land-atmosphere CO 2 exchange. IEEE Trans Geosci Remote Sens 55:6517–6532. https://​doi.​org/​10.​1109/​TGRS.​2017.​2729343CrossRef
Zurück zum Zitat Kimball JS, Jones LA, Endsley KA, Kundig T, Reichle RH (2021) SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 6. NASA National Snow and Ice Data Center Distributed Active Archive Center , Boulder, Colorado USA Kimball JS, Jones LA, Endsley KA, Kundig T, Reichle RH (2021) SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 6. NASA National Snow and Ice Data Center Distributed Active Archive Center , Boulder, Colorado USA
Zurück zum Zitat Mengistu AG, Mengistu Tsidu G, Koren G, Kooreman ML, Boersma KF, Tagesson T, Ardö J, Nouvellon Y, Peters W (2021) Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa. Biogeosciences 18:2843–2857. https://doi.org/10.5194/bg-18-2843-2021CrossRef Mengistu AG, Mengistu Tsidu G, Koren G, Kooreman ML, Boersma KF, Tagesson T, Ardö J, Nouvellon Y, Peters W (2021) Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa. Biogeosciences 18:2843–2857. https://​doi.​org/​10.​5194/​bg-18-2843-2021CrossRef
Zurück zum Zitat Mohammed GH, Colombo R, Middleton EM, Rascher U, van der Tol C, Nedbal L, Goulas Y, Pérez-Priego O, Damm A, Meroni M, Joiner J, Cogliati S, Verhoef W, Malenovský Z, Gastellu-Etchegorry J-P, Miller JR, Guanter L, Moreno J, Moya I, Berry JA, Frankenberg C, Zarco-Tejada PJ (2019) Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote Sens Environ 231:111177. https://doi.org/10.1016/j.rse.2019.04.030CrossRef Mohammed GH, Colombo R, Middleton EM, Rascher U, van der Tol C, Nedbal L, Goulas Y, Pérez-Priego O, Damm A, Meroni M, Joiner J, Cogliati S, Verhoef W, Malenovský Z, Gastellu-Etchegorry J-P, Miller JR, Guanter L, Moreno J, Moya I, Berry JA, Frankenberg C, Zarco-Tejada PJ (2019) Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote Sens Environ 231:111177. https://​doi.​org/​10.​1016/​j.​rse.​2019.​04.​030CrossRef
Zurück zum Zitat Myneni R, Knyazikhin Y, Park T (2021) MODIS/Terra+Aqua Leaf Area Index/FPAR "Conclusions"-Day L4 Global 500 m SIN Myneni R, Knyazikhin Y, Park T (2021) MODIS/Terra+Aqua Leaf Area Index/FPAR "Conclusions"-Day L4 Global 500 m SIN
Zurück zum Zitat Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D’Andrea E, da Rocha H, Dai X, Davis KJ, De CB, de Grandcourt A, De LA, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D (2020) The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7:225. https://doi.org/10.1038/s41597-020-0534-3CrossRef Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D’Andrea E, da Rocha H, Dai X, Davis KJ, De CB, de Grandcourt A, De LA, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D (2020) The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7:225. https://​doi.​org/​10.​1038/​s41597-020-0534-3CrossRef
Zurück zum Zitat Reichstein M, Falge E, Baldocchi D, Papale D, Aubinet M, Berbigier P, Bernhofer C, Buchmann N, Gilmanov T, Granier A, Grunwald T, Havrankova K, Ilvesniemi H, Janous D, Knohl A, Laurila T, Lohila A, Loustau D, Matteucci G, Meyers T, Miglietta F, Ourcival J-M, Pumpanen J, Rambal S, Rotenberg E, Sanz M, Tenhunen J, Seufert G, Vaccari F, Vesala T, Yakir D, Valentini R (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Change Biol 11:1424–1439. https://doi.org/10.1111/j.1365-2486.2005.001002.xCrossRef Reichstein M, Falge E, Baldocchi D, Papale D, Aubinet M, Berbigier P, Bernhofer C, Buchmann N, Gilmanov T, Granier A, Grunwald T, Havrankova K, Ilvesniemi H, Janous D, Knohl A, Laurila T, Lohila A, Loustau D, Matteucci G, Meyers T, Miglietta F, Ourcival J-M, Pumpanen J, Rambal S, Rotenberg E, Sanz M, Tenhunen J, Seufert G, Vaccari F, Vesala T, Yakir D, Valentini R (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Change Biol 11:1424–1439. https://​doi.​org/​10.​1111/​j.​1365-2486.​2005.​001002.​xCrossRef
Zurück zum Zitat Sabbatini S, Mammarella I, Arriga N, Fratini G, Graf A, Hörtnagl L, Ibrom A, Longdoz B, Mauder M, Merbold L, Metzger S, Montagnani L, Pitacco A, Rebmann C, Sedlák P, Šigut L, Vitale D, Papale D (2018) Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations. Int Agrophys 32:495–515. https://doi.org/10.1515/intag-2017-0043CrossRef Sabbatini S, Mammarella I, Arriga N, Fratini G, Graf A, Hörtnagl L, Ibrom A, Longdoz B, Mauder M, Merbold L, Metzger S, Montagnani L, Pitacco A, Rebmann C, Sedlák P, Šigut L, Vitale D, Papale D (2018) Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations. Int Agrophys 32:495–515. https://​doi.​org/​10.​1515/​intag-2017-0043CrossRef
Zurück zum Zitat Sasidharan N (2004) Biodiversity documentation for Kerala. Part 6: flowering plants. Kerala Forest Research Institute Sasidharan N (2004) Biodiversity documentation for Kerala. Part 6: flowering plants. Kerala Forest Research Institute
Zurück zum Zitat UNESCO (2011) World Network of Biosphere Reserves 2010: sites for sustainable development. UNESCO, Paris UNESCO (2011) World Network of Biosphere Reserves 2010: sites for sustainable development. UNESCO, Paris
Zurück zum Zitat Walker AP, De Kauwe MG, Bastos A, Belmecheri S, Georgiou K, Keeling RF, McMahon SM, Medlyn BE, Moore DJP, Norby RJ, Zaehle S, Anderson-Teixeira KJ, Battipaglia G, Brienen RJW, Cabugao KG, Cailleret M, Campbell E, Canadell JG, Ciais P, Craig ME, Ellsworth DS, Farquhar GD, Fatichi S, Fisher JB, Frank DC, Graven H, Gu L, Haverd V, Heilman K, Heimann M, Hungate BA, Iversen CM, Joos F, Jiang M, Keenan TF, Knauer J, Körner C, Leshyk VO, Leuzinger S, Liu Y, MacBean N, Malhi Y, McVicar TR, Penuelas J, Pongratz J, Powell AS, Riutta T, Sabot MEB, Schleucher J, Sitch S, Smith WK, Sulman B, Taylor B, Terrer C, Torn MS, Treseder KK, Trugman AT, Trumbore SE, van Mantgem PJ, Voelker SL, Whelan ME, Zuidema PA (2021) Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO 2. New Phytol 229:2413–2445. https://doi.org/10.1111/nph.16866CrossRef Walker AP, De Kauwe MG, Bastos A, Belmecheri S, Georgiou K, Keeling RF, McMahon SM, Medlyn BE, Moore DJP, Norby RJ, Zaehle S, Anderson-Teixeira KJ, Battipaglia G, Brienen RJW, Cabugao KG, Cailleret M, Campbell E, Canadell JG, Ciais P, Craig ME, Ellsworth DS, Farquhar GD, Fatichi S, Fisher JB, Frank DC, Graven H, Gu L, Haverd V, Heilman K, Heimann M, Hungate BA, Iversen CM, Joos F, Jiang M, Keenan TF, Knauer J, Körner C, Leshyk VO, Leuzinger S, Liu Y, MacBean N, Malhi Y, McVicar TR, Penuelas J, Pongratz J, Powell AS, Riutta T, Sabot MEB, Schleucher J, Sitch S, Smith WK, Sulman B, Taylor B, Terrer C, Torn MS, Treseder KK, Trugman AT, Trumbore SE, van Mantgem PJ, Voelker SL, Whelan ME, Zuidema PA (2021) Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO 2. New Phytol 229:2413–2445. https://​doi.​org/​10.​1111/​nph.​16866CrossRef
Zurück zum Zitat Watham T, Padalia H, Srinet R, Nandy S, Verma PA, Chauhan P (2021) Seasonal dynamics and impact factors of atmospheric CO2 concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India. Environ Monit Assess 193:106. https://doi.org/10.1007/s10661-021-08896-4CrossRef Watham T, Padalia H, Srinet R, Nandy S, Verma PA, Chauhan P (2021) Seasonal dynamics and impact factors of atmospheric CO2 concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India. Environ Monit Assess 193:106. https://​doi.​org/​10.​1007/​s10661-021-08896-4CrossRef
Zurück zum Zitat Zuromski LM, Bowling DR, Köhler P, Frankenberg C, Goulden ML, Blanken PD, Lin JC (2018) Solar-Induced fluorescence detects interannual variation in gross primary production of coniferous forests in the Western United States. Geophys Res Lett 45:7184–7193. https://doi.org/10.1029/2018GL077906CrossRef Zuromski LM, Bowling DR, Köhler P, Frankenberg C, Goulden ML, Blanken PD, Lin JC (2018) Solar-Induced fluorescence detects interannual variation in gross primary production of coniferous forests in the Western United States. Geophys Res Lett 45:7184–7193. https://​doi.​org/​10.​1029/​2018GL077906CrossRef
Metadaten
Titel
Integrating multi-source datasets in exploring the covariation of gross primary productivity (GPP) and solar-induced chlorophyll fluorescence (SIF) at an Indian tropical forest flux site
verfasst von
Manoj Hari
Govindan Kutty
Bhishma Tyagi
Publikationsdatum
01.04.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Environmental Earth Sciences / Ausgabe 8/2024
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-024-11528-y

Weitere Artikel der Ausgabe 8/2024

Environmental Earth Sciences 8/2024 Zur Ausgabe