Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30001
Title: Prediction of Bhutan's ecological distribution of rice (Oryza sativa L.) under the impact of climate change through maximum entropy modelling
Contributor(s): Chhogyel, Ngawang (author); Kumar, Lalit  (author)orcid ; Bajgai, Yadunath (author); Sadeeka Jayasinghe, Layomi (author)
Publication Date: 2020-05-13
DOI: 10.1017/S0021859620000350
Handle Link: https://hdl.handle.net/1959.11/30001
Abstract: The current research investigated the present and future projected distribution of rice (Oryza sativa 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.
Publication Type: Journal Article
Source of Publication: The Journal of Agricultural Science, 158(1-2), p. 25-37
Publisher: Cambridge University Press
Place of Publication: United Kingdom
ISSN: 1469-5146
0021-8596
Fields of Research (FoR) 2008: 070105 Agricultural Systems Analysis and Modelling
050204 Environmental Impact Assessment
Fields of Research (FoR) 2020: 300207 Agricultural systems analysis and modelling
410402 Environmental assessment and monitoring
Socio-Economic Objective (SEO) 2008: 960311 Social Impacts of Climate Change and Variability
960301 Climate Change Adaptation Measures
Socio-Economic Objective (SEO) 2020: 190103 Social impacts of climate change and variability
190101 Climate change adaptation measures (excl. ecosystem)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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