Assessing village-level carbon balance due to greenhouse gas mitigation interventions using EX-ACT model

cg.contactcherukumalli2011@gmail.comen_US
cg.contributor.centerIndian Council of Agricultural Research, Central Research Institute for Dryland Agriculture - CRIDAen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.countryINen_US
cg.coverage.regionSouthern Asiaen_US
cg.date.embargo-end-date2016-04-09en_US
cg.identifier.doihttps://dx.doi.org/10.1007/s13762-015-0788-zen_US
cg.isijournalISI journalen_US
cg.issn1735-1472en_US
cg.issue1en_US
cg.journalInternational Journal of Environmental Science and Technologyen_US
cg.subject.agrovocagricultureen_US
cg.volume13en_US
dc.contributorSudha Rani, Y.en_US
dc.contributorGirija Veni, V.en_US
dc.contributorSharma, K. L.en_US
dc.contributorSankar, G. R. Maruthien_US
dc.contributorPrasad, J.V.N.S.en_US
dc.contributorPrasad, Y.G.en_US
dc.contributorSahrawat, Kanwar Lalen_US
dc.creatorSrinivasa rao, Ch.en_US
dc.date.accessioned2017-02-08T18:19:34Z
dc.date.available2017-02-08T18:19:34Z
dc.description.abstractUnder National Initiative on Climate Resilient Agriculture (NICRA) project, a range of climate smart agricultural practices were evaluated with on-farm demonstrations during 2011–2013 in eight climatically vulnerable villages of Andhra Pradesh, India. Proven climate smart practices viz residue recycling, soil, water and nutrient management, afforestation and feeding ? breeding practices in livestock were implemented in annual and perennial crops, irrigated rice, horticulture, fodder, forestry and livestock. An EX-ante carbon-balance tool (EX-ACT) developed by the FAO was used with a combination of various climate smart interventions to know the mitigation potentials in eight climatically vulnerable villages of Andhra Pradesh, India. Based on our observations, EXACT model had shown that these practices were effective to mitigate CO2 emissions apart from enhancing soil productivity. In Nacharam, Yagantipalli, Sirusuwada and Matsyapuri villages, climate smart practices implemented in annual crops along with crop residue recycling, crop and water management practices resulted in negative carbon (C) balance by -16,410, -8851, -7271 and -6125 t CO2 e, respectively. The EX-ACT model predicted positive carbon balance with irrigated module in the rice-growing villages of Sirusuwada and Matsyapuri villages. The negative values suggest a sink, and positive values a source for CO2 emissions. In Chamaluru village, although there were CO2 emissions (source) due to livestock and nonforest and land use changes, there was a carbon sink due to other activities as predicted by the model. The results suggested that various climatic smart practices at the village level were successful in creating net sink of CO2 emissions (t CO2 e).en_US
dc.formatPDFen_US
dc.identifierhttp://oar.icrisat.org/id/eprint/9835en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/kkYiOyXQ/v/9e35f5c0f6d282c3a56d46fbd0edf8b9en_US
dc.identifier.citationCh. Srinivasa rao, Y. Sudha Rani, V. Girija Veni, K. L. Sharma, G. R. Maruthi Sankar, J. V. N. S. Prasad, Y. G. Prasad, Kanwar Lal Sahrawat. (10/1/2016). Assessing village-level carbon balance due to greenhouse gas mitigation interventions using EX-ACT model. International Journal of Environmental Science and Technology, 13(1), pp. 97-112.en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5570
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceInternational Journal of Environmental Science and Technology;13,(2016) Pagination 97,112en_US
dc.subjectco2 emissionsen_US
dc.subjectex-act modelen_US
dc.subjectcarbon balanceen_US
dc.subjectclimatic smart practicesen_US
dc.titleAssessing village-level carbon balance due to greenhouse gas mitigation interventions using EX-ACT modelen_US
dc.typeJournal Articleen_US
dcterms.available2016-01-10en_US
dcterms.extent97-112en_US
mel.impact-factor2.344en_US

Files