Ozone pollution contributes to the yield gap for beans in Uganda, East Africa, and is co-located with other agricultural stresses.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
05 Apr 2024
05 Apr 2024
Historique:
received:
19
01
2024
accepted:
26
03
2024
medline:
6
4
2024
pubmed:
6
4
2024
entrez:
5
4
2024
Statut:
epublish
Résumé
Air quality negatively impacts agriculture, reducing the yield of staple food crops. While measured data on African ground-level ozone levels are scarce, experimental studies demonstrate the damaging impact of ozone on crops. Common beans (Phaseolus vulgaris), an ozone-sensitive crop, are widely grown in Uganda. Using modelled ozone flux, agricultural surveys, and a flux-effect relationship, this study estimates yield and production losses due to ozone for Ugandan beans in 2015. Analysis at this scale allows the use of localised data, and results can be presented at a sub-regional level. Soil nutrient stress, drought, flood risk, temperature and deprivation were also mapped to investigate where stresses may coincide. Average bean yield losses due to ozone were 17% and 14% (first and second growing season respectively), equating to 184 thousand tonnes production loss. However, for some sub-regions, losses were up to 27.5% and other crop stresses also coincided in these areas. This methodology could be applied widely, allowing estimates of ozone impact for countries lacking air quality and/or experimental data. As crop productivity is below its potential in many areas of the world, changing agricultural practices to mitigate against losses due to ozone could help to reduce the crop yield gap.
Identifiants
pubmed: 38580752
doi: 10.1038/s41598-024-58144-1
pii: 10.1038/s41598-024-58144-1
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8026Subventions
Organisme : Natural Environment Research Council
ID : NEC06476
Organisme : Natural Environment Research Council
ID : NE/R016429/1
Informations de copyright
© 2024. The Author(s).
Références
Health Effects Institute The State of Air Quality and Health Impacts in Africa. A Report from the State of Global Air Initiative. Boston, MA, USA. (2022). https://www.stateofglobalair.org/sites/default/files/documents/2022–10/soga-africa-report.pdf
Mills, G. et al. Ozone pollution will compromise efforts to increase global wheat production. Glob. Chan. Biol. 24, 3560–3574 (2018).
doi: 10.1111/gcb.14157
Mukherjee, A., Yadav, D. S., Agrawal, S. B. & Agrawal, M. Ozone a persistent challenge to food security in India: current status and policy implications. Curr. Opin. Environ. Sci. Health 19, 100220 (2021).
doi: 10.1016/j.coesh.2020.10.008
Roberts, H. R., Dodd, I. C., Hayes, F. & Ashworth, K. Chronic tropospheric ozone exposure reduces seed yield and quality in spring and winter oilseed rape. Agric. For. Meteorol. 316, 108859 (2022).
doi: 10.1016/j.agrformet.2022.108859
Monks, P. S. et al. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer. Atmos. Chem. Phys. 15, 8889–8973 (2015).
doi: 10.5194/acp-15-8889-2015
Laban, T. L. et al. Seasonal influences on surface ozone variability in continental South Africa and implications for air quality. Atmos. Chem. Phys. 18, 15491–15514 (2018).
pubmed: 32678379
doi: 10.5194/acp-18-15491-2018
Okure, D. et al. Characterization of ambient air quality in selected urban areas in Uganda using low-cost sensing and measurement technologies. Environ. Sci. Tech. 56, 3324–3339 (2022).
doi: 10.1021/acs.est.1c01443
Huang, Y., Hickman, J. E. & Wu, S. Impacts of enhanced fertilizer applications on tropospheric ozone and crop damage over sub-Saharan Africa. Atmos. Environ. 180, 117–125 (2018).
doi: 10.1016/j.atmosenv.2018.02.040
Brown, F. et al. The ozone–climate penalty over South America and Africa by 2100. Atmos. Chem. Phys. 22, 12331–12352 (2022).
doi: 10.5194/acp-22-12331-2022
Tetteh, R., Yamaguchi, M., Wada, Y., Funada, R. & Izuta, T. Effects of ozone on growth, net photosynthesis and yield of two African varieties of Vigna unguiculata. Environ. Pollut. 196, 230–238 (2015).
pubmed: 25463718
doi: 10.1016/j.envpol.2014.10.008
Hayes, F., Sharps, K., Harmens, H., Roberts, I. & Mills, G. Tropospheric ozone pollution reduces the yield of African crops. J. Agron. Crop. Sci. 206, 214–228 (2019).
doi: 10.1111/jac.12376
Holder, A. J. & Hayes, F. Substantial yield reduction in sweet potato due to tropospheric ozone, the dose-response function. Environ. Pollut. 304, 119209 (2022).
pubmed: 35341818
doi: 10.1016/j.envpol.2022.119209
Sharps, K., Vieno, M., Beck, R., Hayes, F. & Harmens, H. Quantifying the impact of ozone on crops in Sub-Saharan Africa demonstrates regional and local hotspots of production loss. Environ. Sci. Pollut. Res. 28, 62338–62352 (2021).
doi: 10.1007/s11356-021-14967-3
Uganda Bureau of Statistics. The National Population and Housing Census 2014 – Main Report. Kampala, Uganda. (2016). https://www.ubos.org/wp-content/uploads/publications/03_20182014_National_Census_Main_Report.pdf
Uganda Bureau of Statistics (UBOS). Uganda census of agriculture 2008/2009. Kampala, Uganda. (2010). https://www.ubos.org/wp-content/uploads/publications/03_2018UCACrop.pdf
Uganda Bureau of Statistics (UBOS). Uganda annual agricultural survey 2018. Kampala, Uganda. (2020). https://www.ubos.org/wp-content/uploads/publications/06_2020AAS_2018_Report_Final_050620.pdf
Ministry of Agriculture, Animal Industry and Fisheries (MAAIF) Beans Training Manual for Extension Workers in Uganda. (2018)
Famine Early Warning Systems Network (FEWSNET) Uganda – Staple Food Market Fundamentals. (2017). https://fews.net/sites/default/files/documents/reports/FEWS_NET_Uganda_Staple_Food_Market_Fundamentals_January_2017.pdf
Gatsby, Boosting Ugandan Bean Production. A project report for the Gatsby Charitable Foundation (2014). https://www.gatsby.org.uk/uploads/africa/reports/pdf/beans-summary-2014.pdf
Kilimo Trust. Development of Inclusive Markets in Agriculture and Trade (DIMAT): The Nature and Markets of Bean Value Chains in Uganda (2012). https://www.undp.org/sites/g/files/zskgke326/files/migration/ug/UNDP-Uganda_PovRed---Beans-Value-Chain-Report-2013.pdf
FAOSTAT Statistical Database. Food and Agriculture Organization of the United Nations, Rome (2023). https://www.fao.org/faostat/en/#home
Commercial Agriculture for Smallholders and Agribusiness (CASA) Beans Sector Strategy – Uganda. CASA Programme, Edinburgh, UK. (2020). https://www.casaprogramme.com/wp-content/uploads/CASA-Uganda-BeansSector-analysis-report.pdf
Bernard. B. Local and regional variations in conditions for agriculture and food security in Uganda, In AgriFoSe2030, Report 5. (2018). https://pub.epsilon.slu.se/16592/1/bernard_b_200121.pdf
Owori, M. Poverty in Uganda: National and Regional Data and Trends. A factsheet for Development Initiatives, Bristol, UK. (2020). https://devinit-prod-static.ams3.cdn.digitaloceanspaces.com/media/documents/Poverty_in_Uganda_-_National_and_regional_data_and_trends.pdf
International Monetary Fund (IMF) Uganda Selected Issues, IMF Country Report No. 22/78, Washington DC, USA. (2022). https://www.imf.org/en/Publications/CR/Issues/2022/03/15/Uganda-Selected-Issues-515171
Nansamba, M. et al. Assessing drought effects on banana production and on-farm coping strategies by farmers—A study in the cattle corridor of Uganda. Clim. Chan. 173, 21. https://doi.org/10.1007/s10584-022-03408-w (2022).
doi: 10.1007/s10584-022-03408-w
Mfitumukiza, D., Barasa, B. & Ntale, E. Ecosystem-based adaptation to drought among agro-pastoral farmers: opportunities and constraints in Nakasongola district. Central Uganda. Environ. Man. Sust. Dev. 6, 2 (2017).
Kongai, H., Ochom, G., Asero, D. & Rubaihayo, P. Effects of floods on smallholder crop production in Eastern Uganda. J. Multidiscip. Stud. 3, 32–37 (2022).
Ignaciuk, A., Maggio, G., Mastrorillo, M. & Sitko, N. Adapting to higher temperatures: evidence on the impacts of sustainable agricultural practices in Uganda. FAO Agricultural Development Economics Working Paper 21–02. Rome, FAO (2021). https://www.fao.org/3/cb3386en/cb3386en.pdf
Sridharan, V. et al. The impact of climate change on crop production in Uganda—an integrated systems assessment with water and energy implications. Water 11, 1805 (2019).
doi: 10.3390/w11091805
Athanase, C. R. et al. Farmers’ coping mechanisms for common bean production under water-logged soil conditions in Uganda-Rwanda boarder region. J. Environ. Sci. Eng. B2, 46–52 (2013).
Bekunda, M. A., Nkonya, E., Mugendi, D. & Msaky, J. J. Soil fertility status, management, and research in East Africa. East. Afr. J. Rural Dev. 20, 94–112 (2002).
Moura Rebouças, D. et al. Combined effects of ozone and drought on the physiology and membrane lipids of two cowpea (Vigna unguiculata (L.) Walp) cultivars. Plants 6, 14 (2017).
pmcid: 5371773
doi: 10.3390/plants6010014
Broberg, M. C. et al. Effects of ozone, drought and heat stress on wheat yield and grain quality. Agric. Ecosyst. Environ. 352, 108505 (2023).
doi: 10.1016/j.agee.2023.108505
Alonso, R. et al. Drought stress does not protect Quercus ilex L. from ozone effects: Results from a comparative study of two subspecies differing in ozone sensitivity. Plant Biol. 16, 375–384 (2014).
pubmed: 23890191
doi: 10.1111/plb.12073
Pleijel, H., Danielsson, H., Emberson, L., Ashmore, M. R. & Mills, G. Ozone risk assessment for agricultural crops in Europe: further development of stomatal flux and flux–response relationships for European wheat and potato. Atmos. Environ. 41, 3022–3040 (2007).
doi: 10.1016/j.atmosenv.2006.12.002
Mills, G. et al. Evidence of widespread effects of ozone on crops and (semi-)natural vegetation in Europe (1990–2006) in relation to AOT40- and flux-based risk maps. Glob. Chan. Biol. 17, 592–613 (2011).
doi: 10.1111/j.1365-2486.2010.02217.x
Vieno, M. et al. The sensitivities of emissions reductions for the mitigation of UK PM2.5. Atmos. Chem. Phys. 16, 265–276 (2016).
doi: 10.5194/acp-16-265-2016
Simpson, D. et al. The EMEP MSC-W chemical transport model - technical description. Atmos. Chem. Phys. 12, 7825–7865 (2012).
doi: 10.5194/acp-12-7825-2012
Skamarock, W.C. et al. A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. (2019) https://doi.org/10.5065/1dfh-6p97
Stohl, A. et al. Evaluating the climate and air quality impacts of short-lived pollutants. Atmos. Chem. Phys. 15, 10529–10566 (2015).
doi: 10.5194/acp-15-10529-2015
Emberson, L. D., Ashmore, M. R., Cambridge, H. M., Simpson, D. & Tuovinen, J. P. Modelling stomatal ozone flux across Europe. Environ. Pollut. 109, 403–413 (2000).
pubmed: 15092873
doi: 10.1016/S0269-7491(00)00043-9
Emberson, L. D., Ashmore, M. R., Simpson, D., Tuovinen, J. P. & Cambridge, H. M. Modelling and mapping ozone deposition in Europe. Wat. Air and Soil Poll. 130, 577–582 (2001).
doi: 10.1023/A:1013851116524
Hayes, F., Harmens, H., Sharps, K. & Radbourne, A. Ozone dose-response relationships for tropical crops reveal potential threat to legume and wheat production, but not to millets. Sci. Afr. 9, e00482. https://doi.org/10.1016/j.sciaf.2020.e00482 (2020).
doi: 10.1016/j.sciaf.2020.e00482
International Food Policy Research Institute (IFPRI), “Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Saharan for 2017”, https://doi.org/10.7910/DVN/FSSKBW , Harvard Dataverse, V1 (2020).
You, L., Wood, S., Wood-Sichra, U. & Wu, W. Generating global crop distribution maps: from census to grid. Agric. Syst. 127, 53–60 (2014).
doi: 10.1016/j.agsy.2014.01.002
Soja, G. et al. Phenological weighting of ozone exposures in the calculation of critical levels for wheat, bean and plantain. Environ. Pollut. 109, 517–524 (2000).
pubmed: 15092885
doi: 10.1016/S0269-7491(00)00055-5
Pinheiro, J., Bates, D., DebRoy, S. & Sarkar, D. R Core Team nlme: linear and nonlinear mixed effects models R package version 3.1–137. (2018) https://CRAN.R-project.org/package=nlme
CLRTAP. Chapter 3 “Mapping critical levels for vegetation.” LRTAP Convention Modelling and Mapping Manual. (2017) http://icpvegetation.ceh.ac.uk/
Mills, G. et al. Closing the global ozone yield gap: quantification and cobenefits for multistress tolerance. Glob. Chan. Biol. 24, 4869–4893 (2018).
doi: 10.1111/gcb.14381
Peng, J. et al. A pan-African high-resolution drought index dataset. Earth Syst. Sci. Data 12, 753–769 (2020).
doi: 10.5194/essd-12-753-2020
Li, X., He, B., Quan, X., Liao, Z. & Bai, X. Use of the standardized precipitation evapotranspiration index (SPEI) to characterize the drying trend in southwest China from 1982–2012. Remote Sens. 7, 10917–10937 (2015).
doi: 10.3390/rs70810917
Mitheu, F. et al. The utility of impact data in flood forecast verification for anticipatory actions: Case studies from Uganda and Kenya. J. Flood Risk Manag. https://doi.org/10.1111/jfr3.12911 (2023).
doi: 10.1111/jfr3.12911
Brakenridge, G. R. Global active archive of large flood events. Dartmouth Flood Observatory, University of Colorado (2015). http://floodobservatory.colorado.edu/Archives/index.html
UNISDR, United Nations DesInventar Open Source Initiative (2018). https://www.desinventar.net/
EM-DAT. Database | EM-DAT, Centre for Research on the Epidemiology of Disasters (202). https://www.emdat.be/database
Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020).
pubmed: 32246091
pmcid: 7125108
doi: 10.1038/s41597-020-0453-3
Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).
doi: 10.1002/joc.5086
Salcedo J.M. Regeneration guidelines: common bean. In: Dulloo M.E., Thormann I., Jorge M.A. and Hanson J., editors. Crop specific regeneration guidelines [CD-ROM]. CGIAR System-wide Genetic Resource Programme, Rome, Italy. 9 pp (2008).
CIESIN (Center for International Earth Science Information Network). Columbia University. Global Gridded Relative Deprivation Index (GRDI), Version 1. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). (2022a) https://doi.org/10.7927/3xxe-ap97
CIESIN (Center for International Earth Science Information Network). Columbia University. Documentation for the Global Gridded Relative Deprivation Index (GRDI), Version 1. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). (2022b) https://doi.org/10.7927/xwf1-k532
Integrated Food Security Phase Classification (IPC). Acute Food Insecurity Analysis for Uganda (Karamoja), April 2023 – February 2024. A report by the IPC Technical Working Group of Uganda. (2023). https://www.ipcinfo.org/fileadmin/user_upload/ipcinfo/docs/IPC_Uganda_Karamoja_AcuteFoodInsecurity_Apr2023_Feb2024_report.pdf
Balashov, N. V., Thompson, A. M., Piketh, S. J. & Langerman, K. E. Surface ozone variability and trends over the South African Highveld from 1990 to 2007. J. Geophys. Res. Atmos. 119, 4323–4342 (2014).
doi: 10.1002/2013JD020555
Beebe, S. E., Rao, I. M., Blair, M. W. & Acosta-Gallegos, J. A. Phenotyping common beans for adaptation to drought. Front. Physiol. 4, 35 (2013).
pubmed: 23507928
pmcid: 3589705
doi: 10.3389/fphys.2013.00035
Deutsch, C. A. et al. Increase in crop losses to insect pests in a warming climate. Science 361, 916–919 (2018).
pubmed: 30166490
doi: 10.1126/science.aat3466
Bamwesigye, D. et al. Charcoal and wood biomass utilization in Uganda: the socioeconomic and environmental dynamics and implications. Sustainability 12, 8337 (2020).
doi: 10.3390/su12208337
Ministry of Agriculture, Animal Industry and Fisheries (MAAIF) & Ministry of Water and Environment (MWE). Uganda: National Irrigation Policy. (2017). https://www.mwe.go.ug/sites/default/files/library/Uganda%20National%20Irrigation%20Policy.pdf
Harmens, H., Hayes, F., Sharps, K., Radbourne, A. & Mills, G. (2019) Can reduced irrigation mitigate ozone impacts on an ozone-sensitive African wheat variety?. Plants 8, 220 (2019).
pubmed: 31336902
pmcid: 6681504
doi: 10.3390/plants8070220
Mukankusi, C. et al. Genomics, genetics and breeding of common bean in Africa: A review of tropical legume project. Plant Breed. 138, 401–414 (2019).
pubmed: 31728074
doi: 10.1111/pbr.12573
Fatumah, N., Tilahun, S. A. & Mohammed, S. Water use efficiency, grain yield, and economic benefits of common beans (Phaseolus vulgaris L.) under four soil tillage systems in Mukono District Uganda. Heliyon 7, 2 (2021).
doi: 10.1016/j.heliyon.2021.e06308
Mitheu, F. et al. Identifying the barriers and opportunities in the provision and use of weather and climate information for flood risk preparedness: The case of Katakwi District. Uganda. Front. Clim. 4, 908662 (2022).
doi: 10.3389/fclim.2022.908662
Maggio, G., Mastrorillo, M. & Sitko, N. J. Adapting to high temperatures: effect of farm practices and their adoption duration on total value of crop production in Uganda. Am. J. Agric. Econ. 104, 385–403 (2022).
doi: 10.1111/ajae.12229