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Partitioning of eddy covariance-measured net ecosystem exchange of CO2 in tropical lowland paddy

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Abstract

Net ecosystem exchange of CO2 (NEE) measurement was carried out in tropical lowland paddy at ICAR-National Rice Research Institute, Cuttack, Odisha, India, in 2015 using eddy covariance technique with the objective to assess the variation of NEE of CO2 in lowland paddy and to find out the most suitable model for better partitioning of net ecosystem exchange of CO2 in tropical lowland paddy. Paddy is grown twice (dry and wet season) a year in this region in the lowland, and the field is kept fallow during the remainder of the year. Two different flux partitioning models (FPMs)—the rectangular hyperbola (RH) and the Q10, were evaluated to assess NEE of CO2, and its partitioning components—gross primary production (GPP) and ecosystem respiration (RE), and the resulting flux estimates were compared. The RH method assessed the effects of photosynthetically active radiation on the NEE, whereas the Q10 method utilized the relationship between ecosystem respiration and temperature in lowland paddy. The average NEE during the dry season and wet season was − 1.62 and − 1.83 g C m−2 d−1, respectively, whereas it varied from − 5.71 to 2.29 g C m−2 d−1 during the observation period covering both the cropping seasons and the fallow period. The mean difference between modeled GPP and RE from two FPMs was found significant in both the seasons. The maximum correlation for GPP estimation was found between two FPMs at the panicle initiation stage during both the dry season (R2 = 0.767) and wet season (R2 = 0.321). It was evident from the study that the Q10 method reliably produced the most realistic carbon flux estimates over the RH method, for the lowland paddy. The Q10 model which used nighttime flux and temperature data to estimate RE produced estimates that had lower prediction error (RMSE) as compared to the RH model. It can be concluded that in lowland paddy, the Q10 predicted better estimates of RE and GPP values than the RH method, suggesting that the Q10 model can be used for partitioning of NEE in tropical lowland paddy.

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References

  • Alberto MC, Wassmann R, Hirano T, Miyata A, Kumar A, Padre A, Amante M (2009) CO2/heat fluxes in rice fields: comparative assessment of flooded and non-flooded fields in the Philippines. Agric For Meteorol 149:1737–1750

    Article  Google Scholar 

  • Amthor JS (1995) Higher plant respiration and its relationships to photosynthesis. In: Ecophysiology of photosynthesis. Springer, New York, pp 71–101

  • Baldocchi DD (2003) Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Glob Change Biol 9:479–492. https://doi.org/10.1046/j.1365-2486.2003.00629.x

    Article  Google Scholar 

  • Baldocchi D (2008) TURNER REVIEW No: 15. ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems. Aust J Bot 56:1–26

    Article  CAS  Google Scholar 

  • Beer C, Reichstein M, Tomelleri E, Ciais P, Jung M, Carvalhais N, Rödenbeck C, Arain MA, Baldocchi D, Bonan GB, Bondeau A (2010) Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science 834–838

  • Bhattacharyya P, Neogi S, Roy KS, Rao KS (2013) Gross primary production, ecosystem respiration and net ecosystem exchange in Asian rice paddy: an eddy covariance based approach. Curr Sci 104:67–75

    CAS  Google Scholar 

  • Bhattacharyya P, Neogi S, Roy KS, Dash PK, Nayak AK, Mohapatra T (2014) Tropical low land rice ecosystem is a net carbon sink. Agric Ecosyst Environ 189:127–135

    Article  Google Scholar 

  • Chapin FS, Woodwell GM, Randerson JT, Rastetter EB, Lovett GM, Baldocchi DD, Clark DA, Harmon ME, Schimel DS, Valentini R, Wirth C (2006) Reconciling carbon-cycle concepts, terminology, and methods. Ecosyst 9(7):1041–1050

    Article  CAS  Google Scholar 

  • Chatterjee S (2014) Effects of irrigation, mulch and nitrogen on soil structure, carbon pools and input use efficiency in maize (Zea mays L.) (Doctoral dissertation, Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi). http://krishikosh.egranth.ac.in/handle/1/5810018929

  • Chatterjee S, Bandyopadhyay KK, Pradhan S, Singh R, Datta SP (2016) Influence of irrigation, crop residue mulch and nitrogen management practices on soil physical quality. J Indian Soc Soil Sci 64(4):351–367. https://doi.org/10.5958/0974-0228.2016.00048.7

    Article  Google Scholar 

  • Chatterjee S, Bandyopadhyay KK, Singh R, Pradhan S, Datta SP (2017) Yield and input use efficiency of maize (Zea mays L.) as influenced by crop residue mulch, irrigation and nitrogen management. J Indian Soc Soil Sci 65(2):199–209. https://doi.org/10.5958/0974-0228.2017.00023.8

    Article  Google Scholar 

  • Chatterjee S, Bandyopadhyay KK, Pradhan S, Singh R, Datta SP (2018) Effects of irrigation, crop residue mulch and nitrogen management in maize (Zea mays L.) on soil carbon pools in a sandy loam soil of Indo-gangetic plain region. CATENA 165:207–216. https://doi.org/10.1016/j.catena.2018.02.005

    Article  CAS  Google Scholar 

  • Chatterjee D, Tripathi R, Chatterjee S, Debnath M, Shahi M, Bhattacharyya P, Swain CK, Bhattacharya BK, Nayak AK (2019a) Characterization of land surface energy fluxes in a tropical lowland rice paddy. Theoret Appl Climatol 136(1–2):157–168. https://doi.org/10.1007/s00704-018-2472-y

    Article  Google Scholar 

  • Chatterjee D, Nayak AK, Vijayakumar S, Debnath M, Chatterjee S, Swain CK, Bihari P, Mohanty S, Tripathi R, Shahid M, Kumar A (2019b) Water vapor flux in tropical lowland rice. Environ Monit Assess 191(9):550. https://doi.org/10.1007/s10661-019-7709-4

    Article  CAS  PubMed  Google Scholar 

  • Desai AR, Richardson AD, Moffat AM, Kattge J, Hollinger DY, Barr A, Falge E, Noormets A, Papale D, Reichstein M, Stauch VJ (2008) Cross-site evaluation of eddy covariance GPP and RE decomposition techniques. Agric For Meteorol 148:821–838

    Article  Google Scholar 

  • Falge E, Tenhunen J, Baldocchi D, Aubinet M, Bakwin P, Berbigier P, Bernhofer C, Bonnefond JM, Burba G, Clement R, Davis KJ (2002) Gap filling strategies for defensible annual sums of net ecosystem exchange. Agric For Meteorol 107:43–69

    Article  Google Scholar 

  • Government of India (GOI) (2014) All India report on number and area of operational holdings. Agriculture Census Division, Department of Agriculture &Co-Operation & Farmers Welfare. Ministry of Agriculture & Farmers Welfare, New Delhi

  • Gu L, Falge EM, Boden T, Baldocchi DD, Black TA, Saleska SR, Suni T, Verma SB, Vesala T, Wofsy SC, Xu L (2005) Objective threshold determination for night time eddy flux filtering. Agric For Meteorol 128:179–197

    Article  Google Scholar 

  • Hagen SC, Braswell BH, Linder E, Frolking S, Richardson AD, Hollinger DY (2006) Statistical uncertainty of eddy flux based estimates of gross ecosystem carbon exchange at Howland Forest. Maine J Geophys Res Atmos 111:D08S03. https://doi.org/10.1029/2005jd006154

    Article  Google Scholar 

  • Heskel MA, Atkin OK, Turnbull MH, Griffin KL (2013) Bringing the Kok effect to light: a review on the integration of daytime respiration and net ecosystem exchange. Ecosphere 4:1–14

    Article  Google Scholar 

  • Jung M, Reichstein M, Margolis HA, Cescatti A, Richardson AD, Arain MA, Arneth A, Bernhofer C, Bonal D, Chen J, Gianelle D (2011) Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations. J Geophys Res 116

  • Kaimal JC, Finnigan JJ (1994) Atmospheric boundary layer flows. Oxford University Press, Oxford. https://doi.org/10.1016/0012-8252(94)90026-4

    Book  Google Scholar 

  • Kok B (1949) On the interrelation of respiration and photosynthesis in green plants. Biochim Biophys Acta 3:625–631

    Article  CAS  Google Scholar 

  • Lasslop G, Reichstein M, Papale D, Richardson AD, Arneth A, Barr A, Stoy P, Wohlfahrt G (2010) Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation. Glob Change Biol 16(1):187–208

    Article  Google Scholar 

  • Lee X, Fuentes JD, Staebler RM, Neumann HH (1999) Long term observation of the atmospheric exchange of CO2 with a temperate deciduous forest in southern Ontario, Canada. J Geophys Res Atmos 104:15975–15984

    Article  CAS  Google Scholar 

  • Liu H, Peters G, Foken T (2001) New equations for sonic temperature variance and buoyancy heat flux with an omnidirectional sonic anemometer (J). Bound-Layer Meteorol 100:459–468

    Article  Google Scholar 

  • Massman WJ, Lee X (2002) Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges. Agric For Meteorol 113(1–4):121–144

    Article  Google Scholar 

  • Mauder M, Foken T (2011) Eddy-covariance software TK3 [Data set], Documentation and instruction manual of the eddy-covariance software package TK3 (update), University of Bayreuth, Bayreuth, Germany, https://doi.org/10.5281/zenodo.20349, 2015.

  • Mauder M, Liebethal C, Göckede M, Leps JP, Beyrich F, Foken T (2006) Processing and quality control of flux data during LITFASS-2003. Boundary-Layer Meteoro 121:67–88. https://doi.org/10.1007/s10546-006-9094-0

    Article  Google Scholar 

  • Miyata A, Leuning R, Denmead OT, Kim J, Harazono Y (2000) Carbon dioxide and methane fluxes from an intermittently flooded paddy field. Agric For Meteorol 102:287–303. https://doi.org/10.1016/S0168-1923(00)00092-7

    Article  Google Scholar 

  • Nair R, Juwarkar AA, Wanjari T, Singh SK, Chakrabarti T (2011) Study of terrestrial carbon flux by eddy covariance method in revegetated manganese mine spoil dump at Gurgaon, India. Clim. Change 106:609–619. https://doi.org/10.1007/s10584-010-9953-z

    Article  CAS  Google Scholar 

  • Oikawa PY, Grantz DA, Chatterjee A, Eberwein JE, Allsman LA, Jenerette GD (2014) Unifying soil respiration pulses, inhibition, and temperature hysteresis through dynamics of labile soil carbon and O2. J Geophys Res. https://doi.org/10.1002/2013JG002434

    Article  Google Scholar 

  • Oikawa PY, Sturtevant C, Knox SH, Verfaillie J, Huang YW, Baldocchi DD (2017) Revisiting the partitioning of net ecosystem exchange of CO2 into photosynthesis and respiration with simultaneous flux measurements of 13CO2and CO2, soil respiration and a biophysical model, CANVEGP. Agric For Meteorol 234–235:149–163

    Article  Google Scholar 

  • Pakoktom T, Aoki M, Kasemsap P, Boonyawat S, Attarod P (2009) CO2 and H2O fluxes ratio in paddy fields of Thailand and Japan. Hydrol Res Lett 3:10–13

    Article  Google Scholar 

  • Papale D, Reichstein M, Aubinet M, Canfora E, Bernhofer C, Kutsch W, Longdoz B, Rambal S, Valentini R, Vesala T, Yakir D (2006) Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3:571–583

    Article  CAS  Google Scholar 

  • Pathak H, Nayak AK, Jena M, Singh ON, Samal P, Sharma SG (eds) (2018) Rice research for enhancing productivity, profitability and climate resilience. ICAR-National Rice Research Institute, Cuttack, p 527

    Google Scholar 

  • Reichstein M, Falge E, Baldocchi D, Papale D, Aubinet M, Berbigier P, Bernhofer C, Buchmann N, Gilmanov T, Granier A, Grünwald T (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.x

    Article  Google Scholar 

  • Richardson AD, Hollinger DY, Burba GG, Davis KJ, Flanagan LB, Katul GG, Munger JW, Ricciuto DM, Stoy PC, Suyker AE, Verma SB (2006) A multi-site analysis of uncertainty in tower-based measurements of carbon and energy fluxes. Agric For Meteorol 136:1–18

    Article  Google Scholar 

  • Ruimy A, Jarvis PG, Baldocchi DD, Saugier B (1995) CO2 fluxes over plant canopies and solar radiation: a review. Adv Ecol Res 26:1–68. https://doi.org/10.1016/S0065-2504(08)60063-X

    Article  Google Scholar 

  • Saito M, Miyata A, Nagai H, Yamada T (2005) Seasonal variation of carbon dioxide exchange in rice paddy field in Japan. Agric For Meteorol 135(1):93–109. https://doi.org/10.1016/j.agrformet.2005.10.007

    Article  Google Scholar 

  • Sarmiento JL, Wofsy SC (1999) A US carbon cycle science plan: Report of the Carbon and Climate Working Group. US Global Change Res. Program, Washington, DC

    Google Scholar 

  • Stoy PC, Katul GG, Siqueira MB, Juang JY, McCarthy HR, Kim HS, Oishi AC, Oren R (2005) Variability in net ecosystem exchange from hourly to inter annual time scales at adjacent pine and hardwood forests: a wavelet analysis. Tree Physiol 25:887–902

    Article  Google Scholar 

  • Stoy PC, Katul GG, Siqueira MB, Juang JY, Novick KA, Uebelherr JM, Oren R (2006) An evaluation of models for partitioning eddy covariance-measured net ecosystem exchange into photosynthesis and respiration. Agric For Meteorol 141(1):2–18

    Article  Google Scholar 

  • Swain CK, Bhattacharyya P, Singh NR, Neogi S, Sahoo RK, Nayak AK, Zhang G, Leclerc MY (2016) Net ecosystem methane and carbon dioxide exchange in relation to heat and carbon balance in lowland tropical rice. Ecol Eng 95:364–374

    Article  Google Scholar 

  • Swain CK, Nayak AK, Bhattacharyya P, Chatterjee D, Chatterjee S, Tripathi R, Singh NR, Dhal B (2018a) Greenhouse gas emissions and energy exchange in wet and dry season rice: eddy covariance-based approach. Environ Monit Assess 190:423. https://doi.org/10.1007/s10661-018-6805-1

    Article  CAS  PubMed  Google Scholar 

  • Swain CK, Bhattacharyya P, Nayak AK, Singh NR, Neogi S, Chatterjee D, Pathak H (2018b) Dynamics of net ecosystem methane exchanges on temporal scale in tropical lowland rice. Atmos Environ 191:291–301

    Article  CAS  Google Scholar 

  • Tang J, Baldocchi DD, Qi Y, Xu L (2003) Assessing soil CO2 efflux using continuous measurements of CO2 profiles in soils with small solid-state sensors. Agric For Meteorol 118:207–220

    Article  Google Scholar 

  • Tanner CB, Thurtell GW (1969) Anemoclinometer measurements of reynolds stress and heat transport in the atmospheric surface layer. The University of Wisconsin Tech, pp 82, Rep ECOM-66-G22-F. http://dx.doi.org/AD0689487

  • Vargas R, Baldocchi DD, Bahn M, Hanson PJ, Hosman KP, Kulmala L, Pumpanen J, Yang B (2011) On the multi-temporal correlation between photosynthesis and soil CO2 efflux: reconciling lags and observations. New Phytol 191:1006–1017

    Article  CAS  Google Scholar 

  • Vickers D, Mahrt L (1997) Quality control and flux sampling problems for tower and aircraft data. J Atmos Ocean Technol 14(3):512–526

    Article  Google Scholar 

  • Webb EK, Pearman GI, Leuning R (1980) Correction of flux measurements for density effects due to heat and water vapor transfer. Q J Roy Meteor Soc 106:85–100. https://doi.org/10.1002/qj.49710644707

    Article  Google Scholar 

  • Wehr R, Munger JW, McManus JB, Nelson DD, Zahniser MS, Davidson EA, Wofsy SC, Saleska SR (2016) Seasonality of temperate forest photosynthesis and daytime respiration. Nature 534:680–683

    Article  CAS  Google Scholar 

  • Wilczak JM, Oncley SP, Stage SA (2001) Sonic anemometer tilt correction algorithms. Boundary Layer Meteorol 99(1):127–150. https://doi.org/10.1023/A:1018966204465

    Article  Google Scholar 

  • Wohlfahrt G, Galvagno M (2017) Revisiting the choice of the driving temperature for eddy covariance CO2 flux partitioning. Agric For Meteorol 237–238:135–142

    Article  Google Scholar 

  • Wohlfahrt G, Gu L (2015) The many meanings of gross photosynthesis and their implication for photosynthesis research from leaf to globe. Plant, cell & environ 38(12):2500-2507

    Article  CAS  Google Scholar 

  • Wohlfahrt G, Bahn M, Haslwanter A, Newesely C, Cernusca A (2005) Estimation of daytime ecosystem respiration to determine gross primary production of a mountain meadow. Agric For Meteorol 130:13–25

    Article  Google Scholar 

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Acknowledgements

The authors acknowledge the colleagues and research scholars at ICAR-National Rice Research Institute, Cuttack, India, who have assisted in this study. The first author sincerely acknowledges Dr. Jingyi Huang of University of Wisconsin-Madison, USA, for his suggestions to improve the manuscript. The first author also acknowledges the Indian Council of Agricultural Research for granting study leave and providing financial support.

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This study has been supported by the Grant of National Innovations on Climate Resilient Agriculture, Indian Council of Agricultural Research, New Delhi, India.

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Correspondence to Amaresh Kumar Nayak.

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Chatterjee, S., Swain, C.K., Nayak, A.K. et al. Partitioning of eddy covariance-measured net ecosystem exchange of CO2 in tropical lowland paddy. Paddy Water Environ 18, 623–636 (2020). https://doi.org/10.1007/s10333-020-00806-7

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