Future climate impacts on crop production in Bhutan

Authors

DOI:

https://doi.org/10.36253/ijam-2782

Keywords:

Agricultural Meteorology, crop modelling, food security, climate change

Abstract

Understanding the relationship between weather extremes and crop productivity is the backbone of risk assessments on food security. The former is paramount in countries (i.e., Bhutan) where there are a limited number of impact assessments in agriculture. The analysis performed in this work highlights the trends in agricultural production under a changing climate and the attribution of yield change to a specific climatic hazard. We improve the understanding between the two (climate and yields) by applying an FAO eco-physiological model (PyAEZ) and by relying on state-of-the-art downscaled climate projections (CORDEX-CORE). We analyze climate change impacts on ten crops (maize, foxtail millet, buckwheat, wheat, rice, common beans, cabbage, white potatoes, carrots, and citrus) at national level. The main simulation findings point to a higher yield gain and loss under rainfed conditions as opposed to irrigated conditions by the end-century (2070-2099) compared to the baseline period (2010-2039), particularly under RCP 8.5 for white potatoes (+17.7%), wheat (+15.5%), cabbage (+12.8%), buckwheat (-6.6%), and citrus (-5.8%). The irrigation potential to modulate climate change impacts is reflected in a yield gain of +43.4% on average for all crops and RCP’s when compared to rainfed conditions. On average, weather extremes explain 28% and 33% of the yield variability over time, respectively under RCP’s 2.6 and 8.5. Overall, this study supports smallholder farmers, decision-makers, and project developers to implement adaptation solutions that minimize growing weather extremes such as heat-stress and dry-spells.

References

Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., 1998. Crop Evapotranspiration (guidelines for computing crop water requirements), Drainage and Irrigation Paper N 56. Rome, Italy, Food and Agriculture Organization of the United Nations.

Alvar-Beltrán, J., Soldan, R., Vanuytrecht, E., Heureux, A., Shrestha, N., Manzanas, R., Pant, K.P. and Franceschini, G., 2023. An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal. Environmental Development, 47, p.100882.

Atreya, P.N. and Kaphle, M., 2020. Visible evidence of climate change and its impact on fruit production in Nepal. International Journal of Agriculture Environment and Food Sciences, 4(2), pp.200-208.

Beck, C., Grieser, J., Kottek, M., Rubel, F., and Rudolf, B. 2005. Characterizing global climate change by means of Köppen climate classification. Klimastatusbericht, 51, 139-149.

Bokshi, A.I., Tan, D.K., Thistlethwaite, R.J., Trethowan, R. and Kunz, K., 2021. Impact of elevated CO2 and heat stress on wheat pollen viability and grain production. Functional Plant Biology, 48(5), pp.503-514.

Chhogyel, N., Kumar, L., Bajgai, Y., and Hasan, M. K. 2020. Perception of farmers on climate change and its impacts on agriculture across various altitudinal zones of Bhutan Himalayas. International Journal of Environmental Science and Technology, 17(8), 3607-3620.

Chhogyel, N., and Kumar, L. 2018. Climate change and potential impacts on agriculture in Bhutan: a discussion of pertinent issues. Agriculture & food security, 7(1), 1-13.

Choden, K., Keenan, R. J., and Nitschke, C. R. 2020. An approach for assessing adaptive capacity to climate change in resource dependent communities in the Nikachu watershed, Bhutan. Ecological Indicators, 114, 106293.

Coppola, E., Raffaele, F., Giorgi, F., Giuliani, G., Xuejie, G., Ciarlo, J.M., Sines, T.R., Torres-Alavez, J.A., Das, S., di Sante, F. and Pichelli, E., 2021. Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble. Climate Dynamics, 57, pp.1293-1383.

Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., & Buontempo, C. 2020. WFDE5: bias-adjusted ERA5 reanalysis data for impact studies. Earth System Science Data, 12(3), 2097-2120.

Department of Agriculture (DoA). 2016. Agriculture statistics 2015. Thimphu. Ministry of Agriculture and Forests (MoAF), Royal Government of Bhutan.

Fischer, G., Nachtergaele, F.O., van Velthuizen, H.T., Chiozza, F., Franceschini, G., Henry, M., Muchoney, D. and Tramberend, S. 2021. Global Agro-Ecological Zones v4 – Model documentation. Rome, FAO.

Food and Agriculture Organization (FAO). 2017. National Agro-Economic Zoning for Major Crops in Thailand (NAEZ). Available online at: link

Giorgi, F., Coppola, E., Jacob, D., Teichmann, C., Abba Omar, S., Ashfaq, M., Ban, N., Bülow, K., Bukovsky, M., Buntemeyer, L. and Cavazos, T., 2021. The CORDEX-CORE EXP-I initiative: description and highlight results from the initial analysis. Bulletin of the American Meteorological Society, pp.1-52.

International Labour Organization (ILO). 2019. Data, resources: statistics on employment. Available online at: link

Kassam, A. H., Van Velthuizen, H. T., Fischer, G. W., and Shah, M. M. 1991. Agro-ecological land resources assessment for agricultural development planning. A case study of Kenya. Resources data base and land productivity. Technical Annex, 1, 9-31.

Kassam, A. H. 1977. Net Biomass Production and Yield of Crops with Provisional Results for Tropical Africa. Soil Resources, Management and Conservation Service, Land and Water Development Division, FAO.

Katwal, T.B., Dorji, S., Dorji, R., Tshering, L., Ghimiray, M., Chhetri, G.B., Dorji, T.Y. and Tamang, A.M., 2015. Community perspectives on the on-farm diversity of six major cereals and climate change in Bhutan. Agriculture, 5(1), pp.2-16.

Lal, M., 2011. Implications of climate change in sustained agricultural productivity in South Asia. Regional Environmental Change, 11(Suppl 1), pp.79-94.

Latham, J., Cumani, R., Rosati, I. & Bloise, M., 2014. Global Land Cover SHARE (GLC-Share) database Beta-Release Version 1.0. Rome, Italy, FAO of the United Nations. 40 pp. Available online at: link

Lhamo, T., Chen, G., Dorji, S., Tamang, T.B., Wang, X. and Zhang, P., 2023. Trends in Extreme Precipitation Indices over Bhutan. Atmosphere, 14(7), p.1154.

Ministry of Agriculture and Forests (MoAF). 2011. National action plan biodiversity persistence and climate change. Timphy: MoAF, Royal Government of Bhutan. Available online at: link

Nachtergaele, F.O., van Velthuizen, H., Verelst, L. & Wiberg, D. 2012. Harmonized World Soil Database (version 1.2). Rome, Italy, FAO, International Institute for Applied Systems Analysis (IIASA), ISRIC-World Soil Information, Institute of Soil Science – Chinese Academy of Sciences (ISSCAS), Joint Research Centre of the Europe. 50 pp. Available online at: link

National Environmental Commission (NEC). 2023. National Adaptation Plan (NAP) of the Kingdom of Bhutan. Available online at: link

National Environmental Commission (NEC). 2020. Third National Communication to the UNFCCC, 2020. Available online at: link

National Environmental Commission (NEC). 2016. Water in Bhutan’s economy: importance to partners. Available online at: link

National Environmental Commission (NEC). 2011. Second National Communication from Bhutan to the UNFCCC. Available online at: link

Naveendrakumar, G., Vithanage, M., Kwon, H.H., Chandrasekara, S.S.K., Iqbal, M.C.M., Pathmarajah, S., Fernando, W.C.D.K. and Obeysekera, J., 2019. South Asian perspective on temperature and rainfall extremes: A review. Atmospheric Research, 225, pp.110-120.

Parker, L., Guerten, N., Nguyen, T. T., Rinzin, C., Tashi, D., Wangchuk, D., and Penjor, S. 2017. Climate change impacts in Bhutan: challenges and opportunities for the agricultural sector. CCAFS Working Paper.

Teichmann, C., Jacob, D., Remedio, A.R., Remke, T., Buntemeyer, L., Hoffmann, P., Kriegsmann, A., Lierhammer, L., Bülow, K., Weber, T. and Sieck, K., 2021. Assessing mean climate change signals in the global CORDEX-CORE ensemble. Climate Dynamics, 57, pp.1269-1292.

Published

2024-11-06

How to Cite

Alvar-Beltrán, J., & Franceschini, G. (2024). Future climate impacts on crop production in Bhutan. Italian Journal of Agrometeorology. https://doi.org/10.36253/ijam-2782

Issue

Section

CLIMATE CHANGE

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