Estimating net primary productivity in tropical forest plantations in India using satellite-driven ecosystem model

References

• Ahl DE, Gower ST, Mackay DS, Burrows SN, Norman JM, Diak G. 2004. Heterogeneity of light use efficiency in a northern Wisconsin forest: implications modeling net primary production with remote sensing. Remote Sens Environ. 93:168–178.10.1016/j.rse.2004.07.003
   Web of Science ®Google Scholar
• Almeida AC, Landsberg JJ, Sands PJ, Ambrogi MS, Fonseca S, Barddal SM, Bertolucci FL. 2004. Needs and opportunities for using a process-based productivity model as a practical tool in Eucalyptus plantations. For Ecol Manage. 193:167–177.10.1016/j.foreco.2004.01.044
   Web of Science ®Google Scholar
• Angstrom A. 1924. Solar and terrestrial radiation. Q J R Meteorol Soc. 50:121–125.
   Google Scholar
• Bandyopadhyay A, Bhadra A, Raghuvanshi ND, Singh R. 2008. Estimation of monthly solar radiation from measured air temperature extremes. Agric For Meteorol. 148:1707–1718.10.1016/j.agrformet.2008.06.002
   Web of Science ®Google Scholar
• Champion HG, Seth SK. 1968. A revised survey of forest types of India. New Delhi: Govt. of India Press; p. 404.
   Google Scholar
• Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fölster H, Fromard F, Higuchi N, Kira T, Lescure JP. 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia. 145:87–99.
   PubMed Web of Science ®Google Scholar
• Chen W, Chen JM, Price DT, Cihlar J, Liu J. 2000. Carbon offset potentials of four alternative forest management strategies in Canada: a simulation study. Mitigation Adapt Strategies Global Change. 5:143–169.10.1023/A:1009671422344
   Google Scholar
• Chhabra A, Dadhwal VK. 2004. Estimating terrestrial net primary productivity over India. Curr Sci. 86:269–271.
   Web of Science ®Google Scholar
• Constable JVH, Friend AL. 2000. Suitability of process-based tree growth models for addressing tree response to climate change. Environ Pollut. 110:47–59.10.1016/S0269-7491(99)00289-4
   PubMed Web of Science ®Google Scholar
• Crabtree R, Potter C, Mullen R, Sheldon J, Huang S, Harmsen J, Rodman A, Jean C. 2009. A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator. Remote Sens Environ. 113:1486–1496.10.1016/j.rse.2008.12.014
   Web of Science ®Google Scholar
• Dadhwal VK, Nayak SR. 1993. A preliminary estimate of biogeochemical cycle of carbon for India. Sci Cult. 59:9–13.
   Google Scholar
• Dobson AJ. 2001. An introduction to generalized linear models. London: CRC Press.10.1201/CHTEXSTASCI
   Google Scholar
• Doorenbos J, Pruitt WO. 1977. Guidelines for predicting crop water requirements, FAO-ONU, Rome, Irrigation and Drainage Paper No. 24 (Rev.), 144 pp.
   Google Scholar
• Field CB, Randerson JT, Malmstrom CM. 1995. Global net primary production: combing ecology and remote sensing. Remote Sens Environ. 51:74–88.10.1016/0034-4257(94)00066-V
   Web of Science ®Google Scholar
• Glenn EP, Huete AR, Nagler PL, Nelson SG. 2008. Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: what vegetation indices can and cannot tell us about the landscape. Sensors. 8:2136–2160.10.3390/s8042136
   PubMed Web of Science ®Google Scholar
• Haferkamp MR. 1988. Environmental factors affecting plant productivity. In: White RS, Short RE, editors. Achieving efficient use of rangeland resources. Miles City, MT: Fort Keogh Research symposium; p. 27–36.
   Google Scholar
• Hill VJ, Zimmerman RC, Bissett WP, Dierssen H, Kohler DD. 2014. Evaluating light availability, seagrass biomass, and productivity using hyperspectral airborne remote sensing in Saint Joseph’s Bay. Estuaries Coasts. 37:1467–1489.10.1007/s12237-013-9764-3
   Web of Science ®Google Scholar
• Hooda RS, Dye DG, Shibaski R. 2003. Evaluating agricultural and non-agricultural carbon fixation over India using Remote Sensing data. International Symposium on Remote Sensing, International Society for Optics and Photonics. p. 108–113.
   Google Scholar
• Hunt C. 2008. Economy and ecology of emerging markets and credits for bio-sequestered carbon on private land in tropical Australia. Ecol Econ. 66:309–318.10.1016/j.ecolecon.2007.09.012
   Web of Science ®Google Scholar
• Landsberg JJ. 1986. Physiological ecology of forest production. London: Academic Press; p. 165–178.
   Google Scholar
• Landsberg JJ, Gower ST, Dickson RE. 1998. Applications of physiological ecology to forest management. Forest Science. 44:177.
   Google Scholar
• Law BE, Waring RH, Anthoni PM, Aber JD. 2000. Measurements of gross and net ecosystem productivity and water vapour exchange of a Pinus ponderosa ecosystem, and an evaluation of two generalized models. Global Change Biology. 6:155–168.10.1046/j.1365-2486.2000.00291.x
   Web of Science ®Google Scholar
• Liang N, Maruyama K. 1995. Interactive effect of CO2 enrichment and drought stress on gas exchange and water-use efficiency in Alnus firma. Environ Exp Bot. 35:353–361.10.1016/0098-8472(95)00009-8
   Web of Science ®Google Scholar
• Luo Y, Gerten D, Le Maire G, Parton WJ, Weng E, Zhou X, Keough C, Beier C, Ciais P, Cramer W, Dukes JS. 2008. Modeled interactive effects of precipitation, temperature, and [CO2] on ecosystem carbon and water dynamics in different climatic zones. Global Change Biol. 14:1986–1999.10.1111/gcb.2008.14.issue-9
   Web of Science ®Google Scholar
• Malhi Y, Baldocchi DD, Jarvis PG. 1999. The carbon balance of tropical, temperate and boreal forests. Plant Cell Environ. 22:715–740.10.1046/j.1365-3040.1999.00453.x
   Web of Science ®Google Scholar
• Miranda JD, Padilla FM, Lázaro R, Pugnaire FI. 2009. Do changes in rainfall patterns affect semiarid annual plant communities? J Veg. Sci. 20:269–276.10.1111/jvs.2009.20.issue-2
   Web of Science ®Google Scholar
• Monteith JL. 1972. Solar radiation and productivity in tropical ecosystems. J Appl Ecol. 9:747–766.10.2307/2401901
   Web of Science ®Google Scholar
• Mukund, A. 2008. Analysing performance of optical and passive microwave data to infer soil moisture in the upper soil layers for the prominent crops in eastern part of Rajasthan, India [ M. Sc. thesis]. Dehradun: Indian Institute of Remote Sensing.
   Google Scholar
• Nair PKR, Kumar B, Nair VD. 2009b. Agroforestry as a strategy for carbon sequestration. J Plant Nutr Soil Sci. 172:10–23.10.1002/jpln.v172:1
   Web of Science ®Google Scholar
• Nayak RK, Patel NR, Dadhwal VK. 2010. Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environ Monit Assess. 170:195–213.10.1007/s10661-009-1226-9
   PubMed Web of Science ®Google Scholar
• Nayak RK, Patel NR, Dadhwal VK. 2013. Inter-annual variability and climate control of terrestrial net primary productivity over India. Int J Climatol. 33:132–142.10.1002/joc.v33.1
   Web of Science ®Google Scholar
• Nogués-Bravo D. 2009. Comparing regression methods to predict species richness patterns. Web Ecol. 9:58–67.10.5194/we-9-58-2009
   Google Scholar
• Patel NR, Kumar S, Pande LM. 2006. Quantification of water limited yield in rainfed crops using GIS based modeling. J Appl Hydrol. XVII:60–68.
   Google Scholar
• Piao SL, Fang JY, Guo QH. 2001. Application of CASA model to the estimation of Chinese terrestrial net primary productivity. Acta Phytoecol Sin. 25:603–608.
   Google Scholar
• Potter C, Klooster S, Myneni R, Genovese V, Tan P, Kumar V. 2003. Continental scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982–1998. Global Planet Change. 39:201–213.10.1016/j.gloplacha.2003.07.001
   Web of Science ®Google Scholar
• Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Klooster SA. 1993. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem Cycles. 7:811–841.10.1029/93GB02725
   Web of Science ®Google Scholar
• Potter CS, Riley RH, Klooster SA. 1997. Simulation modeling of nitrogen trace gas missions along an age gradient of tropical forest soils. Ecol Modell. 97:179–196.
   Web of Science ®Google Scholar
• Prescott JA. 1940. Evaporation from a water surface in relation to solar radiation. Trans R Soc South Aust. 64:114–118.
   Google Scholar
• Singh A. 2011. Forest type characterisation and biomass assessment in terai central forest division using remote sensing and field inventory [ M. Tech. thesis]. Dehradun: Indian Institute of Remote Sensing.
   Google Scholar
• Singh IB. 2005. Quaternary palaeoenvironments of the Ganga plain and anthropogenic activity. Man Environ. 30:1–35.
   Google Scholar
• Team R. 2013. R development core team. RA Lang Environ Stat Comput. 55:275–286.
   Google Scholar
• Todorovski L, Džeroski S, Langley P, Potter C. 2003. Using equation discovery to revise an Earth ecosystem model of the carbon net production. Ecol Model. 170:141–154.10.1016/S0304-3800(03)00222-9
   Web of Science ®Google Scholar
• Tripathi P, Patel NR, Kushwaha SPS, Dadhwal VK. 2014. Upscaling of leaf area index in Terai forest plantations using fine-and moderate-resolution satellite data. Int J Remote Sens. 35:7749–7762.10.1080/01431161.2014.976886
   Web of Science ®Google Scholar
• Vacchiano G, Magnani F, Collalti A. 2012. Modeling Italian forests: state of the art and future challenges. IFOREST. 5:113.10.3832/ifor0614-005
   Web of Science ®Google Scholar
• Wang X, Fang J, Zhu B. 2008. Forest biomass and root-shoot allocation in northeast China. For Ecol Manage. 255:4007–4020.10.1016/j.foreco.2008.03.055
   Web of Science ®Google Scholar
• Wishnie MH, Dent DH, Mariscal E, Deago J, Cedeno N, Ibarra D, Condit R, Ashton PMS. 2007. Initial performance and reforestation potential of 24 tropical tree species planted across a precipitation gradient in the Republic of Panama. For Ecol Manage. 243:39–49.10.1016/j.foreco.2007.02.001
   Web of Science ®Google Scholar
• Woodward FI, Fogg GE, Heber U. 1990. The impact of low temperatures in controlling the geographical distribution of plants [and discussion]. Philos Trans R Soc B. 326:585–593.10.1098/rstb.1990.0033
   Web of Science ®Google Scholar
• Wu Z, Dijkstra P, Koch GW, Peñuelas J, Hungate BA. 2011. Responses of terrestrial ecosystems to temperature and precipitation change: a meta-analysis of experimental manipulation. Global Change Biol. 17:927–942.10.1111/gcb.2010.17.issue-2
   Web of Science ®Google Scholar
• Zhao J, Yan X, Guo J, Jia G. 2012. Evaluating spatial-temporal dynamics of net primary productivity of different forest types in north-eastern China based on improved FORCCHN. PLoS ONE. 7:e48131.10.1371/journal.pone.0048131
   PubMed Web of Science ®Google Scholar