Climate and landscape mediate patterns of low lentil productivity in Nepal

Writing – review & editing: Gokul P. Paudel, Mina Devkota, Alwin Keil, Andrew J. McDonald. References 1. Karmakar N, Chakraborty A, Nanjundiah RS. Increased sporadic extremes decrease the intraseasonal variability in the Indian summer monsoon rainfall. Scientific Reports. 2017; 7: 7824. https://doi.org/10. 1038/s41598-017-07529-6 PMID: 28798361 PLOS ONE Climate and landscape mediate low lentil productivity PLOS ONE | https://doi.org/10.1371/journal.pone.0231377 April 16, 2020 15 / 19

2. Karim MR, Rahman MA. Drought risk management for increased cereal production in asian least devel- oped countries. Weather and Climate Extremes. 2015; 7: 24–35. 3. Dewan TH. Societal impacts and vulnerability to floods in Bangladesh and Nepal. Weather and Climate Extremes. 2015; 7: 36–42. 4. Lal M. Implications of climate change in sustained agricultural productivity in South Asia. Regional Envi- ronmental Change. 2011; 11: 79–94. 5. Mirza MMQ. Climate change, flooding in South Asia and implications. Regional Environmental Change. 2011; 11: 95–107. 6. Mirza MMQ. Global warming and changes in the probability of occurrence of floods in Bangladesh and implications. Global Environmental Change. 2002; 12: 127–138. 7. Shrestha AB, Aryal R. Climate change in Nepal and its impact on Himalayan glaciers. Regional Environ- mental Change. 2011; 11: 65–77. 8. Chung U, Gbegbelegbe S, Shiferaw B, Robertson R, Yun JI, Tesfaye K, et al. Modeling the effect of a heat wave on maize production in the USA and its implications on food security in the developing world. Weather and Climate Extremes. 2014; 5: 67–77. 9. Im E-S, Pal JS, Eltahir EAB. Deadly heat waves projected in the densely populated agricultural regions of South Asia. Science Advances. 2017; 3(8): e1603322. https://doi.org/10.1126/sciadv.1603322 PMID: 28782036 10. Mathison C, Wiltshire A, Dimri AP, Falloon P, Jacob D, Kumar P, et al. Regional projections of North Indian climate for adaptation studies. Science of the Total Environment. 2012; 468–469: S4–S17.

11. Kumar P, Wiltshire A, Mathison C, Asharaf S, Ahrens B, Lucas-Picher P, et al. Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach. Science of the Total Environment. 2013; 468–469: S18–S30. 12. Aslam AQ, Ahmad I, Ahmad SR, Hussain Y, Hussain MS, Zaidi SJA. Integrated climate change risk assessment and evaluation of adaptation perspective in southern Punjab, Pakistan. Science of the Total Environment. 2018; 628–629: 1422–1436. https://doi.org/10.1016/j.scitotenv.2018.02.129 PMID: 30045562 13. Janes T, Mcgrath F, Macadam I, Jones R. High-resolution climate projections for South Asia to inform climate impacts and adaptation studies in the Ganges-Brahmaputra-Meghna and Mahanadi deltas. Sci- ence of the Total Environment. 2019; 650: 1499–1520. https://doi.org/10.1016/j.scitotenv.2018.08.376 PMID: 30308836 14. Pandey VP, Dhaubanjar S, Bharati L, Thapa BR. Hydrological response of Chamelia watershed in Mahakali Basin to climate change. Science of the Total Environment. 2019; 650: 365–383. https://doi. org/10.1016/j.scitotenv.2018.09.053 PMID: 30199682 15. Whitehead PG, Jin L, Macadam I, Janes T, Sarkar S, Rodda HJE, et al. Modelling impacts of climate change and socio-economic change on the Ganga, Brahmaputra, Meghna, Hooghly and Mahanadi river systems in India and Bangladesh. Science of the Total Environment. 2018; 636: 1362–1372. https://doi.org/10.1016/j.scitotenv.2018.04.362 PMID: 29913597

16. Leng G, Hall J. Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future. Science of the Total Environment. 2019; 654: 811–821. https://doi.org/10.1016/j. scitotenv.2018.10.434 PMID: 30448671 17. Abid M, Schilling J, Scheffran J, Zulfiqar F. Climate change vulnerability, adaptation and risk percep- tions at farm level in Punjab, Pakistan. Science of the Total Environment. 2016; 547: 447–460. https:// doi.org/10.1016/j.scitotenv.2015.11.125 PMID: 26836405 18. Zhang X, Chen N, Sheng H, Ip C, Yang L, Chen Y, et al. Urban drought challenge to 2030 sustainable development goals. Science of the Total Environment. 2019. https://doi.org/10.1016/j.scitotenv.2019. 07.342 PMID: 31374498 19. Dimri AP, Thayyen RJ, Kibler K, Stanton A, Jain SK, Tullos D, et al. A review of atmospheric and land surface processes with emphasis on flood generation in the Southern Himalayan rivers. Science of the Total Environment. 2016; 556: 98–115. https://doi.org/10.1016/j.scitotenv.2016.02.206 PMID: 26974566 20. Moors EJ, Stoffel M. Changing monsoon patterns, snow and glacial melt, its impacts and adaptation options in northern India: Synthesis. Science of the Total Environment. 2013; 468–469: S162–S167. 21. Mittler R. Abiotic stress, the field environment and stress combination. Trends in Plant Science. 2006; 11: 15–19. https://doi.org/10.1016/j.tplants.2005.11.002 PMID: 16359910 22. Prasad PVV, Pisipati SR, Momčilović I, Ristic Z. Independent and combined effects of high temperature

and drought stress during grain filling on plant yield and chloroplast EF-Tu expression in spring wheat. Journal of Agronomy and Crop Science. 2011; 197: 430–441. PLOS ONE Climate and landscape mediate low lentil productivity PLOS ONE | https://doi.org/10.1371/journal.pone.0231377 April 16, 2020 16 / 19

23. Atkinson NJ, Lilley CJ, Urwin PE. Identification of genes involved in the response of arabidopsis to simultaneous biotic and abiotic stresses. Plant Physiology. 2013; 162: 2028–2041. https://doi.org/10. 1104/pp.113.222372 PMID: 23800991 24. Narsai R, Wang C, Chen J, Wu J, Shou H, Whelan J. Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress. BMC Genomics. 2013; 14: 93. https://doi.org/10.1186/1471-2164-14-93 PMID: 23398910 25. Prasch CM, Sonnewald U. Simultaneous application of heat, drought, and virus to arabidopsis plants reveals significant shifts in signaling networks. Plant Physiology. 2013; 162: 1849–1866. https://doi. org/10.1104/pp.113.221044 PMID: 23753177 26. Ramegowda V, Senthil-Kumar M. The interactive effects of simultaneous biotic and abiotic stresses on plants: mechanistic understanding from drought and pathogen combination. Journal of Plant Physiol- ogy. 2015; 176: 47–54. https://doi.org/10.1016/j.jplph.2014.11.008 PMID: 25546584 27. Pandey P, Irulappan V, Bagavathiannan MV., Senthil-Kumar M. Impact of combined abiotic and biotic stresses on plant growth and avenues for crop improvement by exploiting physio-morphological traits. Frontiers in Plant Science. 2017; 8: 1–15. https://doi.org/10.3389/fpls.2017.00001 PMID: 28220127 28. Mishra AK, Mottaleb KA, Khanal AR, Mohanty S. Abiotic stress and its impact on production efficiency: The case of rice farming in Bangladesh. Agriculture, Ecosystems and Environment. 2015; 199: 146– 153.

29. McDonald A, Riha S, DiTommaso A, DeGaetano A. Climate change and the geography of weed dam- age: Analysis of U.S. maize systems suggests the potential for significant range transformations. Agri- culture, Ecosystems and Environment. 2009; 130: 131–140. 30. Horwitz P, Wilcox BA, Seherm H, Coakley S, Smith DL, Ericson L, et al. Plant pathogens in a changing world. International Journal for Parasitology. 2003; 91: 890–903. 31. Duveiller E, Singh RP, Nicol JM. The challenges of maintaining wheat productivity: Pests, diseases, and potential epidemics. Euphytica. 2007; 157: 417–430. 32. FAO. FAOSTAT statistical database of the United Nations Food and Agriculture Organization (FAO). Italy: Rom; 2017. 33. Muehlbauer FJ, Cho S, Sarker A, McPhee KE, Coyne CJ, Rajesh PN, et al. Application of biotechnology in breeding lentil for resistance to biotic and abiotic stress. Euphytica. 2006; 147: 149–165. 34. Kumar S, Choudhary AK, Rana KS, Sarker A, Singh M. Bio-fortification potential of global wild annual lentil core collection. PLoS ONE. 2018; 13(1): e0191122. https://doi.org/10.1371/journal.pone. 0191122. PMID: 29346404 35. Malik AI, Ali MO, Zaman MS, Flower K, Rahman MM, Erskine W. Relay sowing of lentil (Lens culinaris subsp. culinaris) to intensify rice-based cropping. The Journal of Agricultural Science. 2016; 154: 850– 857. 36. Erskine W, Sarker A, Kumar S. Crops that feed the world 3. investing in lentil improvement toward a food secure world. Food Security. 2011; 3: 127–139.

37. MoAD. Statistical information on Nepalese agriculture. Ministry of Agricultural Development, Kath- mandu, Nepal; 2016. 38. ICT. Export potential assessment in Nepal. International Trade Centre UNCTAD/WTO; 2007. 39. USAID. Lentil market assessment report. Nepal, Economic, Agriculture, and Trade Activity. Kath- mandu: Nepal; 2013. 40. Manandhar S, Vogt DS, Perret SR, Kazama F. Adapting cropping systems to climate change in Nepal: A cross-regional study of farmers’ perception and practices. Regional Environmental Change. 2011; 11: 335–348. 41. Shrestha AB, Bajracharya SR, Sharma AR, Duo C, Kulkarni A. Observed trends and changes in daily temperature and precipitation extremes over the Koshi river basin 1975–2010. International Journal of Climatology. 2017; 37: 1066–1083. 42. Devkota RP. Climate change: Trends and people’s perception in Nepal. Journal of Environmental Pro- tection. 2014; 5: 255–265. 43. Singh RB, Mal S. Trends and variability of monsoon and other rainfall seasons in western Himalaya, India. Atmospheric Science Letters. 2014; 15: 218–226. 44. Karki R, Hasson S, Schickhoff U, Scholten T, Bo¨ hner J. Rising precipitation extremes across Nepal. Cli- mate. 2017; 5(1): 4. https://doi.org/10.3390/cli5010004. 45. Palazzi E, Von Hardenberg J, Provenzale A. Precipitation in the hindu-kush karakoram himalaya: Observations and future scenarios. Journal of Geophysical Research Atmospheres. 2013; 118: 85– 100. PLOS ONE Climate and landscape mediate low lentil productivity PLOS ONE | https://doi.org/10.1371/journal.pone.0231377 April 16, 2020 17 / 19

46. Erskine W, Tufail M, Russell A, Tyagi MC, Rahman MM, Saxena MC. Current and future strategies in breeding lentil for resistance to biotic and abiotic stresses. Euphytica. 1993; 73: 127–135. 47. Erskine W, El Ashkar F. Rainfall and temperature effects on lentil (Lens culinaris) seed yield in Mediter- ranean environments. Journal of Agricultural Science. 1993; 121: 347. 48. Wiraguna E, Malik AI, Erskine W. Waterlogging tolerance in lentil (Lens culinaris Medik. subsp. culi- naris) germplasm associated with geographic origin. Genetic Resources and Crop Evolution. 2017; 64: 579–586. 49. Salam MU, Day TK, Ahmed AU, Nessa B, Haque AHMM, Subedi S, et al. Stempedia: A weather-based model to explore and manage the risk of lentil Stemphylium blight disease. Australasian Plant Pathol- ogy. 2016; 45: 499–507. 50. Subedi S, Shrestha SM, KC GB, Thapa RB, Ghimire SK, Neupane S, et al. Botanical, chemical and bio- logical management of Stemphylium botryosum blight disease of lentil in Nepal. Indian Phytopath. 2015; 68: 415–423. 51. Lutz AF, Immerzeel WW, Shrestha AB, Bierkens MFP. Consistent increase in high Asia’s runoff due to increasing glacier melt and precipitation. Nature Climate Change. 2014; 4: 587–592. 52. Pradhan P, Fischer G, Van Velthuizen H, Reusser DE, Kropp JP. Closing yield gaps: How sustainable can we be? PLoS ONE. 2015; 10(6): e0129487. https://doi.org/10.1371/journal.pone.0129487 PMID: 26083456 53. Devendra C. Small farm systems to feed hungry Asia. Outlook on Agriculture. 2007; 36: 7–20.

54. MoPE. Ministry of Population and Environment. Department of Hydrology and Meteorology. Govern- ment of Nepal; 2017; http://dhm.gov.np/meteorological-station/. 55. Lu GY, Wong DW. An adaptive inverse-distance weighting spatial interpolation technique. Computers and Geosciences. 2008; 34: 1044–1055. 56. Farell M. The measurement of productive efficiency. Journal of the Royal Statistical Society. 1957; 120: 253–290. 57. Seiford L. Data envelopment analysis: The evolution of the state of the art (1978–1995) Journal of Pro- ductivity Analysis. 1996; 7: 99–137. 58. Aigner D, Lovell CAK, Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics. 1977; 6: 21–37. 59. Meeusen W, van Den Broeck J. Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review. 1977; 18: 435–444. 60. Stevenson RE. Likelehood functions for generalized stochastic frontier estimation. Journal of Econo- metrics. 1980; 13: 57–66. 61. Greene WH. A gamma-distributed stochastic frontier model. Journal of Econometrics. 1990; 46: 141– 163. 62. Battese G., Coelli T. A model for technical inefficiency effects in a stochastic frontier production function. Empirical Economics. 1995; 20: 325–332. 63. Wang HJ, Schmidt P One-step and two-step estimation of the effects of exogenous variables on techni- cal efficiency levels. Journal of Productivity Analysis. 2002; 18: 129–144. 64. Kumbhakar SC, Ghosh S, McGuckin JT. A generalized production frontier approach for estimating

determinnatns of inefficiency in US dairy farms. Journal of Business & Economic Statistics. 1991; 9: 279–286. 65. Reifschneider D, Stevenson R. Systematic departures from the frontier: a framework for the analysis of firm inefficiency. International Economic Review. 1991; 32: 715–723. 66. Tobin J. Estimation of relationships for limited dependent variables. Econometrica. 1958; 26: 24–36. 67. Dey MM. Analysis of demand for fish in Bangladesh. Aquaculture Economics and Management. 2000; 4: 63–81. 68. Rahman S. Environmental impacts of technological change in Bangladesh agriculture: Farmers’ per- ception and empirical evidence. Outlook on Agriculture. 1999; 28: 233–238. 69. Thapa G, Otsuka K, Barker R. Effect of modern rice varieties and irrigation on household income distri- bution in Nepalese villages. Agricultural Economics. 1992; 7: 245–265. 70. Beneito P, Ferri J, Molto´ ML, Uriel. Determinants of the demand for education in Spain. Applied Eco- nomics. 2001; 32: 1541–1551. 71. Rahman S. Farm-level pesticide use in Bangladesh: Determinants and awareness. Agriculture, Ecosys- tems and Environment. 2003; 95: 241–252. 72. Bravo-Ureta BE, Pinheiro AE. Efficiency analysis of developing country agriculture: A review of the fron- tier function literature. Agricultural and Resource Economics Review. 1993; 22: 88–101. PLOS ONE Climate and landscape mediate low lentil productivity PLOS ONE | https://doi.org/10.1371/journal.pone.0231377 April 16, 2020 18 / 19

83. Ahmed S, Morrall RAA. Field reactions of lentil lines and cultivars to isolates of Ascochyta fabae f. sp. lentis. Canadian Journal of Plant Pathology. 1996; 18: 363–369. 84. Kant P, Materne M, Rodda MS, Slater AT. Screening lentil germplasm for stemphylium blight resis- tance. Australasian Plant Pathology. 2017; 46: 129–136. 85. Keil A, D’Souza A, McDonald A. Growing the service economy for sustainable wheat intensification in the Eastern Indo-Gangetic Plains: Lessons from custom hiring services for zero-tillage. Food Security. 2016; 8: 1011–1028. 86. NRB Nepal Rastra Bank 2019. 2019; https://www.nrb.org.np/fxmexchangerate.php. Last accessed October 2019. PLOS ONE Climate and landscape mediate low lentil productivity PLOS ONE | https://doi.org/10.1371/journal.pone.0231377 April 16, 2020 19 / 19