Abstract
Modeling CO2 flux components is an important task in ecosystem analysis and terrestrial studies. Net ecosystem exchange (NEE), ecosystem respiration (R), and gross primary production (GPP) are three CO2 flux components. Despite the ecosystem land cover characteristics, climatic factors can make considerable impact on quantity and mechanism of these components. Nevertheless, such climatic factors are not available in most of the areas, especially in developing regions. Therefore, obtaining the models that can exempt using locally recorded variables would be of great importance. A modeling study was carried out here to simulate CO2 flux components using soft computing-based random forest (RF) model in both local and external (spatial) scales, assessed by k-fold validation procedure. Data from 11 sites located in three forest ecosystems, e.g. deciduous broad leaf (DBF), evergreen needle leaf (ENF), and mixed forest (MF), were used to simulate the flux components. The obtained results showed that the temperature-related parameters (e.g., air and soil temperature, vapor pressure deficit) along with the net radiation play key role in determining the flux components in all studied ecosystems. It was confirmed that a chronologic scan of the available patterns is needed for a thorough assessment of the performance accuracy of the local models. The external models provided promising results when compared with the locally trained models. This is a very great step forward in estimating CO2 flux components under data scarcity conditions.
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Data availability
The datasets analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
References
Baldocchi DD, Wilson KB (2001) Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales. Ecol Model 142:155–184
Baldocchi DD, Falge E, Gu L, Olson R, Hollinger D, Running S, Anthoni P, Bernhofer C, Davis K, Evans R, Fuentes J, Goldstein A, Katul G, Law B, Lee X, Malhi Y, Meyers T, Munger W, Oechel W, Paw KT, Pilegaard K, Schmid HP, Valentini R, Verma S, Vesala T, Wilson K, Wolsy S (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem scale carbon dioxide, water vapor and energy flux densities. Bull Am Geol Soc 82:2415–2434
Baldocchi D (2003) Assessing ecosystem carbon balance: problems and prospects of the eddy covariance technique. Glob Chang Biol 9:478–492
Breiman L (2001) Random Forests. Mach Learn 45(1):5–32
Buchmann N, Schulze ED (1999) Net CO2 and H2O fluxes of terrestrial ecosystems. Glob Biogeochem Cycles 13:751–760
Chen D, Gong L, Xu C-Y, Halldin S (2007) A high-resolution, gridded dataset for monthly temperature normals (1971–2000) in Sweden. Geogr Ann Ser A 89(4):249–261
Chen Z, Yu G, Wang Q (2020) Effects of climate and forest age on the ecosystem carbon exchange of afforestation. J For Res 31(2):365–374
Dou X, Yang Y (2018) Estimating forest carbon fluxes using four different data-driven techniques based on long-term eddy covariance measurements: model comparison and evaluation. Sci Total Environ 627:78–94
Dou X, Yang Y, Lu J (2018) Estimating forest carbon fluxes using machine learning techniques based on eddy covariance measurements. Sustainability 10:203
Evrendilek F (2013) Quantifying biosphere–atmosphere exchange of CO2 using eddy covariance, wavelet denoising, neural networks, and multiple regression models. Agric Forest Meteor 1-8:171–172
Evrendilek F (2014) Assessing CO2 sink/source strength of a degraded temperate peatland: atmospheric and hydrological drivers and responses to extreme events. Ecohydrol 8(8):1429–1445
Gaumont-Guay D, Black TA, Barr AG, Jassal RS, Nesic Z (2008) Biophysical controls on rhizospheric and heterotrophic components of soil respiration in a boreal black spruce stand. Tree Physiol 28:161–171
Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning. Springer, New York
Hermle H, Lavigene MB, Berier PY, Bergeronn O, Pare D (2010) Component respiration, ecosystem respiration and net primary production of a mature black spruce forest in northern Quebec. Tree Physiol 30(4):527–540
Joiner J, Yoshida Y, Zhang Y, Duveiller G, Jung M, Lyapustin A, Wanng Y, Tucker CJ (2018) Estimation of terrestrial global gross primary production (GPP) with satellite data-driven models and eddy covariance flux data. Remote Sens 10:1346
Karimi S, Shiri J, Kisi P, Xu T (2018) Forecasting daily streamflow values: assessing heuristic models. Hydrol Res 49(3):658–669
Kwiatkowski D, Phillips PCB, Schmidt P, Shin Y (1992) Testing the null hypothesis of stationarity against the alternative of a unit root. J Econ 54(1–3):159–178
Liu S, Zhuang Q, He Y, Noormets A, Chen J, Gu L (2016) Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach. Agric Forest Meteor 220:38–49
Maroufpoor S, Bozorg-Haddad O, Maroufpoor E (2020) Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm. J Hydrol 588:125060
Melesse AM, Hanley RS (2005) Artificial neural network application for multi-ecosystem carbon flux simulation. Ecol Model 189:305–314
Mendes KR, Campus S, da Silva LL, Mutti PR, Ferreira RR et al (2020) Seasonal variation in net ecosystem CO2 exchange of a Brazilian seasonally dry tropical forest. Sci Rep 10:9454
Papale D, Valentini R (2003) A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization. Glob Chang Biol 9:525–535
Papale D, Andrew Black T, Carvalhai N, Cescatti A, Chen J, Jung M, Kiely G et al (2015) Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks. J Geophys Res Biogeosci 120:1941–1957
Qin Z, Su GL, Zhang JE, Ouyang Y, Yu Q, Li J (2010) Identification of important factors for water vapor flux and CO2 exchange in a cropland. Ecol Model 221:575–581
Raich JW, Schlesinger WH (1992) The global carbon dioxide flux in soil respiration and its relationship to vegetation and climate. Tellus 44(B):81–99
Richardson AD, Hollinger DY, Aber JD, Ollinger SV, Braswell BH (2007) Environmental variation is directly responsible for short- but not long-term variation in forest-atmosphere carbon exchange. Glob Chang Biol 13:788–803
Ryan MG, Lavigne MB, Gower ST (1997) Annual carbon cost of autotrophic respiration in boreal forest ecosystems in relation to species and climate. J Geophys Res 102:28871–28883
Schelde K, Kelliher FM, Massman WJ, Jensen KH (1997) Estimating sensible and latent heat fluxes from a temperate broad-leaved forest using the Simple Biosphere (SiB) model. Agric For Meteorol 84:285–295
Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27(3):379–423
Shi P, Sun X, Xu L, Zhang X, He Y, Zhang D, Yu G (2006) Net ecosystem CO2 exchange and controlling factors in a steppe—Kobresia meadow on the Tibetan Plateau. Sci China Ser D Earth Sci 4:207–218
Shiri N, Shiri J, Nourani V, Karimi S (2020a) Coupling wavelet transform with multivariate adaptive regression spline for simulating suspended sediment load: Independent testing approach. ISH J Hydra Eng:1–10. https://doi.org/10.1080/09715010.2020.1801528
Shiri J, Kisi O, Yoon H, Kazemi MH, Shiri N, Poorrajabali M, Karimi S (2020b) Prediction of groundwater level variations in coastal aquifers with tide and rainfall effects using heuristic data driven models. ISH J Hydra Eng:1–11. https://doi.org/10.1080/09715010.2020.1729876
Urbanski S, Barford C, Wofsy S, Kucharik C, Pyle E, Budney J, McKain K, Fitzjarrald D, Czikowsky M, Munger JW (2007) Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard forest. J Geophys Res 112:G02020. https://doi.org/10.1029/2006JG000293
Valentini R, Matteucci G, Dolman AJ, Schulze ED, Rebmann C, Moors EJ, Granier A, Gross P, Jensen NO, Pilegaard K, Lindroth A, Grelle A, Bernhofer C, Grünwald T, Aubinet M, Ceulemans R, Kowalski AS, Vesala T, Rannik Ü, Berbigier P, Loustau D, Guamundsson J, Thorgeirsson H, Ibrom A, Morgenstern K, Clement R, Moncrieff J, Montagnani L, Minerbi S, Jarvis PG (2000) Respiration as the main determinant of carbon balance in European forests. Nature 404:861–865
Whartona S, Falk M, Bible K, Schroeder M, PawU KT (2012)Old-growth CO2 flux measurements reveal high sensitivity to climate anomalies across seasonal, annual and decadal time scales. Agric Forest Meteor 161:1–14
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NS made the investigation, simulation, and validation phases. J.S made the fundamental concept of the study and defined the methodology. He had contribution in writing the paper. MHK prepared the necessary resources and software and had contribution in modeling phase. TX helped with preparing necessary data and had contribution in conceptualization and writing the paper. All authors read and approved the final manuscript.
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Shiri, N., Shiri, J., Kazemi, M.H. et al. Estimation of CO2 flux components over northern hemisphere forest ecosystems by using random forest method through temporal and spatial data scanning procedures. Environ Sci Pollut Res 29, 16123–16137 (2022). https://doi.org/10.1007/s11356-021-16501-x
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DOI: https://doi.org/10.1007/s11356-021-16501-x