Comparative estimation of litter carbon inputs by two different modeling approaches in central Himalayan forests
DOI:
https://doi.org/10.53550/Keywords:
Forest soils, MODIS NPP, RothC, Soil organic carbon dynamicsAbstract
The Soil Organic Carbon (SOC) status found in forest soils is the result of the balance between litter input to the soil and decomposition. Plant litter input to the soil is closely linked to net primary production (NPP). At equilibrium, the NPP is equal to the litter input to soil. In this study, plant litter input to a depth of 30 cm was estimated for ten forest sites located at different altitudes in Central Himalaya using the Rothamsted Carbon model (RothC) and was compared with estimated litter inputs from the NPP data from Moderate Resolution Imaging Spectroradiometer (MODIS). The litter carbon input calculated using RothC and that derived from MODIS NPP were positively correlated (r= 0.62), but the mean estimated litter input from RothC was 32.8% lesser than that estimated from MODIS. However, student's t-test revealed non-significant mean difference at 5% significance level between the estimates. RothC estimated litter carbon inputs were closer to MODIS NPP in case of dense and comparatively less degraded forests whereas large deviations were found in case of degraded forests. The discrepancy was probably because of the different temperature controls for the MODIS algorithm and the RothC model, and simple assumptions made in the RothC calculation. The mismatch in scale between the 1 km grid of satellite products (MODIS NPP) and the relatively small scale of ground-scale observations (SOC) might have also contributed to the disagreement observed. However, this approach merits further study to accept satellite-derivedNPPdata to be used as plant carbon input to soil system to drive soil models to estimate changes in forest soil carbon stocks under future climate/land management scenario.
References
Alexandrov, G.A., Oikawa, T. and Yamagata, Y. 2002. The scheme for globalization of a process-based model explaining gradations in terrestrial NPP and its application. Ecol Model.,148: 293-306.
Cannell, M.G.R. 1982.World forest biomass and primary production data. Academic Press, Tokyo.
Carvalhais, N., Reichstein, M., Seixas, J., Collatz, G.J., Pereira, J.S., Berbigier, P., Carrara, A., Granier, A., Montagnani, L., Papale, D., Rambal, S., Sanz, M.J. and Valentini, R. 2008. Implications of the carbon cycle steady state assumption for biogeochemical modelling performance and inverse parameter retrieval. Glob Biogeochem Cycles. 22:GB2007. DOI:101029/2007GB003033.
Chaturvedi, S. and Melkania, U. 2012. Modelling Soil organic Carbon from forest ecosystems and mid Himalayas, India. Ind. J. Soil Cons.,40(3): 225-230.
Chiesi, M., Maselli, F., Moriondo, M., Fibbi, L., Bindi, M. and Running, S.W. 2007. Application of BIOME-BGC to simulate Mediterranean forest processes. Ecol Model., 206: 179-190.
Ciais, P., Reichstein, M., Viovy, N., Granier, A., Ogee, J., Allard, V., Aubinet, M., Buchmann, N., Bernhofer, C., Carrara, A., Chevallier, F., De Noblet, N., Friend, A.D., Friedlingstein, P., Gru¨nwald, T., Heinsch, B., Keronen, P., Knohl,A., Krinner, G., Loustau, D., Manca, G., Matteucci, G., Miglietta, F., Ourcival, J.M., Papale, D., Pilegaard, K., Rambal, S., Seufert, G., Soussana, J.F., Sanz, M.J., Schulze, E.D., Vesala, T. and Valentini, R. 2005. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature., 437: 529-533.
Coleman, K., Jenkinson, D.S., Crocker, G.J., Grace, P.R., Klı´r, J., Ko¨rschens, M., Poultion, P.R. and Richter, D.D. 1997. Simulating trends in soil organic carbon in long-term experiments using RothC- 26.3. Geoderma, 81: 29 44.
Cramer, W., Kicklighter, D.W., Bondeau, A., Moore, B III., Churkina G., Nemry, B., Ruimy, A. and Schloss, A.L. 1999. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. 5: 1 15.
Falloon, P. and Smith, P. 2002. Simulating SOC changes in long-term experiments with RothC and CENTURY: model evaluation for a regional scale application. 18: 101-111.
Falloon, P., Smith, P., Bradley, R.I., Milne, R., Tomlinson, R., Viner, D.,Livermore, M. and Brown, T. 2006. RothCUKa dynamic modelling system for estimating changes in soil C from mineral soils at 1-km resolution in the UK. 22: 274 -288.
Ghosh, B.N., Vedprakash, Kundu, S., Singh, R.D. and Gupta, H.S. 2001. Relationship between oxidizable and total organic carbon content in an inceptisol after twenty-seven years of soyabean-wheat cropping. 49(4): 744-745.
Hashimoto, S.,Wattenbach, M. and Smith, P. 2010. Litter carbon inputs to the mineral soil of Japanese Brown forest soils: comparing estimates from the RothC model with estimates from MODIS. (2011) 16:16 25 DOI 10.1007/s10310-010-0209-6.
Ito, A. 2003. A global-scale simulation of the CO2 exchange between the atmosphere and the terrestrial biosphere with a mechanistic model including stable carbon isotopes, 19531999. 55: 596-612.
Ito, A. and Sasai, T. 2006. A comparison of simulation results from two terrestrial carbon cycle models using three climate data sets. 58: 513-522.
Jenkinson, D.S. 1990. The turnover of organic carbon and nitrogen in soil. 329: 361-368.
Jenkinson, D.S., Harkness, D.D., Vance, E.D., Adams, D.E. and Harrison A.F. 1992. Calculating net primary production and annual input of organic-matter to soil from the amount and radiocarbon content of soil organic-matter. 24: 295-308.
Jenkinson, D.S. and Coleman, K. 1994. Calculating the annual input of organic-matter to soil from measurements of total organic carbon and radiocarbon. 45: 167-174.
Jenkinson, D.S., Meredith, J., Kinyamario, J.I., Warren, G.P., Wong, M.T.F., Harkness, D.D., Bol, R. and Coleman, K. 1999. Estimating net primary production from measurements made on soil organicmatter. 80: 2762-2773.
Kurz, W.A., Stinson, G. and Rampley, G. 2008. Could increased boreal forest ecosystem productivity offset carbon losses from increased disturbances? 363: 2261-2269.
Maselli, F., Chiesi, M., Fibbi, L. and Moriondo, M. 2008. Integration of remote sensing and ecosystem modelling techniques to estimate forest net carbon uptake. 29:2437-2443.
Oak Ridge National Laboratory Distributed Active Ar-chive Center (ORNL DAAC), “MODIS Subsetted Land products,” 2011. http://daac.ornl.gov/MODIS/modis.html
Peltoniemi, M., Thurig, E., Ogle, S., Palosuo, T., Schrumpf, M.,Wutzler, T., Butterbach-Bahl, K., Chertov, O., Komarov, A., Mikhailov, A., Gardenas, A., Perry, C., Liski, J., Smith, P. and Makipaa, R. 2007. Models in country scale carbon accounting of forest soils. 41: 575-602.
Raich, J., Russell, A.E. and Vitousek, P.M. 1997. Primary productivity and ecosystem development along an elevational gradient on Mauna Loa, Hawai'i. 78: 707-721.
Running, S.W., Thornton, P.E., Nemani, R. and Glassy, J.M. 2000. Global terrestrial gross and net primary productivity from the earth observing system. In: Sala, O.E., Jackson, R.B., Mooney, H.A. and Howarth, R.W. (eds) Methods in ecosystem science. New York, pp. 44-57.
Smith, P. 2008. Land use change and soil organic carbon dynamics. 81:169-178.
Smith, P., Powlson, D.S., Glen dining, M.J. and Smith, J.U. 1997. Potential for carbon sequestration in European soils: preliminary estimates for five scenarios using results from long-term experiments. ., 3: 67-79.
Smith, J., Smith, P., Wattenbach, M., Zaehle, S., Hiederer, R., Jones, R.J.A., Montanarella, L., Rounsevell, M.D.A., Reginster, I. and Ewert, F. 2005. Projected changes in mineral soil carbon of European croplands and grasslands, 19902080. 11: 2141-2152.
Smith, P., Smith, J., Wattenbach, M., Meyer, J., Lindner, M., Zaehle, S., Hiederer, R., Jones, R.J.A., Montanarella, L., Rounsevell, M., Reginster, I. and Kankaanpaa, S. 2006. Projected changes in mineral soilcarbonofEuropeanforests,1990-2100. 86:159-169.
Turner, D.P., Ritts, W.D., Cohen, W.B., Maeirsperger, T.K., Gower, S., Kirschbaum, A.A., Running, S.W., Zhao, M.S., Wofsy, S.C., Dunn, A.L., Law, B.E., Campbell, J.L., Oechel,W.C., Kwon, H.J., Meyers, T.P., Small, E.E., Kurc, S.A. and Gamon, J.A. 2005. Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring. 11: 666-684.
Turner, D.P., Ritts,W.D., Zhao, M.S., Kurc, S.A., Dunn, A.L.,Wofsy, S.C., Small, E.E. and Running, S.W. 2006. Assessing interannual variation in MODIS-based estimates of gross primary production. 44: 1899-1907.
Wutzler, T. and Reichstein, M. 2007. Soils apart from equilibrium consequences for soil carbon balance modelling. 4:125-136.
