Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30001
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dc.contributor.authorChhogyel, Ngawangen
dc.contributor.authorKumar, Laliten
dc.contributor.authorBajgai, Yadunathen
dc.contributor.authorSadeeka Jayasinghe, Layomien
dc.date.accessioned2021-02-03T23:56:08Z-
dc.date.available2021-02-03T23:56:08Z-
dc.date.issued2020-05-13-
dc.identifier.citationThe Journal of Agricultural Science, 158(1-2), p. 25-37en
dc.identifier.issn1469-5146en
dc.identifier.issn0021-8596en
dc.identifier.urihttps://hdl.handle.net/1959.11/30001-
dc.description.abstractThe current research investigated the present and future projected distribution of rice (<i>Oryza sativa</i> L.) based on climatic suitability under three representative concentration pathways (RCPs) of the Intergovernmental Panel on Climate Change using maximum entropy (MaxEnt) modelling. The MaxEnt models predict that rice distribution in Bhutan will undergo major changes in terms of spatial range shift of varying magnitudes by 2060. Under the anthropogenic radiative forcing of RCP2.6, RCP4.5 and RCP8.5, ecological space of rice is predicted to change between 1 and 43%. Major changes are likely to take place in major rice-growing ecological zones of the country. This is likely to have a negative impact on the livelihood and food security of the people as crop production might start declining due to unfavourable climatic factors. Therefore, the findings of this study could prove beneficial for forecasting focus sites requiring interventions, including future climate research, planning, policy formulation and conservation of natural resources.en
dc.languageenen
dc.publisherCambridge University Pressen
dc.relation.ispartofThe Journal of Agricultural Scienceen
dc.titlePrediction of Bhutan's ecological distribution of rice (Oryza sativa L.) under the impact of climate change through maximum entropy modellingen
dc.typeJournal Articleen
dc.identifier.doi10.1017/S0021859620000350en
local.contributor.firstnameNgawangen
local.contributor.firstnameLaliten
local.contributor.firstnameYadunathen
local.contributor.firstnameLayomien
local.subject.for2008070105 Agricultural Systems Analysis and Modellingen
local.subject.for2008050204 Environmental Impact Assessmenten
local.subject.seo2008960311 Social Impacts of Climate Change and Variabilityen
local.subject.seo2008960301 Climate Change Adaptation Measuresen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailnchhogye@myune.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage25en
local.format.endpage37en
local.identifier.scopusid85085328009en
local.peerreviewedYesen
local.identifier.volume158en
local.identifier.issue1-2en
local.contributor.lastnameChhogyelen
local.contributor.lastnameKumaren
local.contributor.lastnameBajgaien
local.contributor.lastnameSadeeka Jayasingheen
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/30001en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePrediction of Bhutan's ecological distribution of rice (Oryza sativa L.) under the impact of climate change through maximum entropy modellingen
local.relation.fundingsourcenoteThe authors would like to acknowledge the University of New England, NSW, in Australia for the International PostgraduateResearch Award (IPRA) to Mr Ngawang Chhogyel who has undertaken thisresearch as part of his PhD programme.The authors would like to acknowledge the University of New England, NSW, in Australia for the International Postgraduate Research Award (IPRA) to Mr Ngawang Chhogyel who has undertaken this research as part of his PhD programme.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorChhogyel, Ngawangen
local.search.authorKumar, Laliten
local.search.authorBajgai, Yadunathen
local.search.authorSadeeka Jayasinghe, Layomien
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2020en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/d467148d-f4e4-4325-9ec0-c6202d63414den
local.subject.for2020300207 Agricultural systems analysis and modellingen
local.subject.for2020410402 Environmental assessment and monitoringen
local.subject.seo2020190103 Social impacts of climate change and variabilityen
local.subject.seo2020190101 Climate change adaptation measures (excl. ecosystem)en
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School of Environmental and Rural Science
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