IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i19p3523-d269331.html
   My bibliography  Save this article

Mapping Geospatial Processes Affecting the Environmental Fate of Agricultural Pesticides in Africa

Author

Listed:
  • Chantal M. J. Hendriks

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
    Team Sustainable Soil Use, Wageningen Environmental Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands)

  • Harry S. Gibson

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK)

  • Anna Trett

    (Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK)

  • André Python

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK)

  • Daniel J. Weiss

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK)

  • Anton Vrieling

    (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands)

  • Michael Coleman

    (Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK)

  • Peter W. Gething

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK)

  • Penny A. Hancock

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK)

  • Catherine L. Moyes

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK)

Abstract

The application of agricultural pesticides in Africa can have negative effects on human health and the environment. The aim of this study was to identify African environments that are vulnerable to the accumulation of pesticides by mapping geospatial processes affecting pesticide fate. The study modelled processes associated with the environmental fate of agricultural pesticides using publicly available geospatial datasets. Key geospatial processes affecting the environmental fate of agricultural pesticides were selected after a review of pesticide fate models and maps for leaching, surface runoff, sedimentation, soil storage and filtering capacity, and volatilization were created. The potential and limitations of these maps are discussed. We then compiled a database of studies that measured pesticide residues in Africa. The database contains 10,076 observations, but only a limited number of observations remained when a standard dataset for one compound was extracted for validation. Despite the need for more in-situ data on pesticide residues and application, this study provides a first spatial overview of key processes affecting pesticide fate that can be used to identify areas potentially vulnerable to pesticide accumulation.

Suggested Citation

  • Chantal M. J. Hendriks & Harry S. Gibson & Anna Trett & André Python & Daniel J. Weiss & Anton Vrieling & Michael Coleman & Peter W. Gething & Penny A. Hancock & Catherine L. Moyes, 2019. "Mapping Geospatial Processes Affecting the Environmental Fate of Agricultural Pesticides in Africa," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3523-:d:269331
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/19/3523/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/19/3523/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christiaensen,Luc & Christiaensen,Luc, 2017. "Agriculture in Africa -- telling myths from facts : a synthesis," Policy Research Working Paper Series 7979, The World Bank.
    2. Armstrong, A. C. & Matthews, A. M. & Portwood, A. M. & Leeds-Harrison, P. B. & Jarvis, N. J., 2000. "CRACK-NP: a pesticide leaching model for cracking clay soils," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 183-199, May.
    3. Hanson, J. D. & Ahuja, L. R. & Shaffer, M. D. & Rojas, K. W. & DeCoursey, D. G. & Farahani, H. & Johnson, K., 1998. "RZWQM: Simulating the effects of management on water quality and crop production," Agricultural Systems, Elsevier, vol. 57(2), pages 161-195, June.
    4. Tomislav Hengl & Gerard B M Heuvelink & Bas Kempen & Johan G B Leenaars & Markus G Walsh & Keith D Shepherd & Andrew Sila & Robert A MacMillan & Jorge Mendes de Jesus & Lulseged Tamene & Jérôme E Tond, 2015. "Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-26, June.
    5. Aden, K. & Diekkruger, B., 2000. "Modeling pesticide dynamics of four different sites using the model system SIMULAT," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 337-355, May.
    6. Barrett,Christopher B. & Sheahan,Megan Britney & Barrett,Christopher B. & Sheahan,Megan Britney, 2014. "Understanding the agricultural input landscape in Sub-Saharan Africa : recent plot, household, and community-level evidence," Policy Research Working Paper Series 7014, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Berazneva, Julia & McBride, Linden & Sheahan, Megan & Guerena, David, 2016. "Perceived, measured, and estimated soil fertility in east Africa: Implications for farmers and researchers," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235466, Agricultural and Applied Economics Association.
    2. Mekdim D. Regassa & Mohammed B. Degnet & Mequanint B. Melesse, 2023. "Access to credit and heterogeneous effects on agricultural technology adoption: Evidence from large rural surveys in Ethiopia," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(2), pages 231-253, June.
    3. Vanclooster, M. & Boesten, J. J. T. I. & Trevisan, M. & Brown, C. D. & Capri, E. & Eklo, O. M. & Gottesburen, B. & Gouy, V. & van der Linden, A. M. A., 2000. "A European test of pesticide-leaching models: methodology and major recommendations," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 1-19, May.
    4. Armstrong, Adrian & Aden, Karin & Amraoui, Nadia & Diekkruger, Bernd & Jarvis, Nick & Mouvet, Christophe & Nicholls, Peter & Wittwer, Caroline, 2000. "Comparison of the performance of pesticide-leaching models on a cracking clay soil: results using the Brimstone Farm dataset," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 85-104, May.
    5. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    6. Dang, Hai-Anh & Carletto, Calogero & Gourlay, Sydney & Abanokova, Kseniya, 2024. "Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda," GLO Discussion Paper Series 1445, Global Labor Organization (GLO).
    7. Tanguy Bernard & Sylvie Lambert & Karen Macours & Margaux Vinez, 2019. "Adoption of Improved Seeds, Evidence from DRC," Working Papers halshs-02422695, HAL.
    8. Meyer, Maximilian & Hulke, Carolin & Kamwi, Jonathan & Kolem, Hannah & Börner, Jan, 2022. "Spatially heterogeneous effects of collective action on environmental dependence in Namibia’s Zambezi region," World Development, Elsevier, vol. 159(C).
    9. Johan Swinnen, 2016. "Value Chain Innovations for Technology Transfer in Developing and Emerging Economies: Concept, Typology and Policy Implications," Working Papers id:10694, eSocialSciences.
    10. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    11. Sabastine Ugbemuna Ugbaje & Thomas F.A. Bishop, 2020. "Hydrological Control of Vegetation Greenness Dynamics in Africa: A Multivariate Analysis Using Satellite Observed Soil Moisture, Terrestrial Water Storage and Precipitation," Land, MDPI, vol. 9(1), pages 1-15, January.
    12. Isabel Lambrecht & Monica Schuster & Sarah Asare Samwini & Laura Pelleriaux, 2018. "Changing gender roles in agriculture? Evidence from 20 years of data in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 691-710, November.
    13. Lenis Saweda O. Liverpool-Tasie, 2017. "Is fertiliser use inconsistent with expected profit maximization in sub-Saharan Africa? “Evidence from Nigeria”," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 22-44, February.
    14. Koen Dekeyser, 2019. "Land Investments, Food Systems Change and Democracy in Kenya and Mozambique," Politics and Governance, Cogitatio Press, vol. 7(4), pages 178-189.
    15. Katrina Kosec & Hosaena Ghebru & Brian Holtemeyer & Valerie Mueller & Emily Schmidt, 2018. "The Effect of Land Access on Youth Employment and Migration Decisions: Evidence from Rural Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 931-954.
    16. World Bank Group, 2015. "Tanzania Mainland Poverty Assessment," World Bank Publications - Reports 22021, The World Bank Group.
    17. Kosec, Katrina & Ghebru, Hosaena & Holtemeyer, Brian & Mueller, Valerie & Schmidt, Emily, 2016. "The effect of land inheritance on youth employment and migration decisions: Evidence from rural Ethiopia," IFPRI discussion papers 1594, International Food Policy Research Institute (IFPRI).
    18. Joachim Eisenberg & Fabrice A. Muvundja, 2020. "Quantification of Erosion in Selected Catchment Areas of the Ruzizi River (DRC) Using the (R)USLE Model," Land, MDPI, vol. 9(4), pages 1-18, April.
    19. Gottesburen, B. & Aden, K. & Barlund, I. & Brown, C. & Dust, M. & Gorlitz, G. & Jarvis, N. & Rekolainen, S. & Schafer, H., 2000. "Comparison of pesticide leaching models: results using the Weiherbach data set," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 153-181, May.
    20. Robert B. Zougmoré & Samuel T. Partey, 2022. "Gender Perspectives of ICT Utilization in Agriculture and Climate Response in West Africa: A Review," Sustainability, MDPI, vol. 14(19), pages 1-15, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3523-:d:269331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.