IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i9p2623-d228848.html
   My bibliography  Save this article

Mountain Farming Systems’ Exposure and Sensitivity to Climate Change and Variability: Agroforestry and Conventional Agriculture Systems Compared in Ecuador’s Indigenous Territory of Kayambi People

Author

Listed:
  • Raúl Córdova

    (Viikki Tropical Resources Institute (VITRI), Department of Forest Sciences, University of Helsinki, Latokartanonkaari 7, P.O. Box 27, 0014 Helsinki, Finland)

  • Nicholas J. Hogarth

    (Viikki Tropical Resources Institute (VITRI), Department of Forest Sciences, University of Helsinki, Latokartanonkaari 7, P.O. Box 27, 0014 Helsinki, Finland
    Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, 0014 Helsinki, Finland)

  • Markku Kanninen

    (Viikki Tropical Resources Institute (VITRI), Department of Forest Sciences, University of Helsinki, Latokartanonkaari 7, P.O. Box 27, 0014 Helsinki, Finland)

Abstract

Smallholder farming is considered one of the most vulnerable sectors to the impacts of climate change, variability, and extremes, especially in the developing world. This high vulnerability is due to the socioeconomic limitations and high environmental sensitivity which affect the biophysical and socioeconomic components of their farming systems. Therefore, systems’ functionality and farmers’ livelihoods will also be affected, with significant implications for global food security, land-use/land-cover change processes and agrobiodiversity conservation. Thus, less vulnerable and more resilient smallholder farming systems constitute an important requisite for sustainable land management and to safeguard the livelihoods of millions of rural and urban households. This study compares a comprehensive socioeconomic and environmental dataset collected in 2015–2016 based on household interviews of 30 farmers of highland agroforestry systems and 30 farmers of conventional agriculture systems, to determine which system provides better opportunities to reduce exposure and sensitivity. A modified Climate Change Questionnaire Version 2 of the World Overview of Conservation Approaches and Technologies (WOCAT) was applied to collect the data. The interview data are based on the perceptions of Kayambi indigenous farmers about the levels of exposure and sensitivity of their farming systems during the last decade. Descriptive statistics were applied to analyze the data from the 60 farms. Results indicate that both agroforesters and conventional farmers clearly perceived increases in temperature and reductions in precipitation for the last decade, and expected this trend to continue in the next decade. Furthermore, conventional farmers perceived greater exposure to droughts (20%), solar radiation (43%), and pests, weeds and disease outbreaks (40%) than agroforesters. Additionally, results emphasize the better ability of agroforestry systems to reduce exposure and sensitivity to climate change and variability. These findings support the well-known assumptions about the key role played by agroforestry systems for climate change adaptation and mitigation, especially in developing countries.

Suggested Citation

  • Raúl Córdova & Nicholas J. Hogarth & Markku Kanninen, 2019. "Mountain Farming Systems’ Exposure and Sensitivity to Climate Change and Variability: Agroforestry and Conventional Agriculture Systems Compared in Ecuador’s Indigenous Territory of Kayambi People," Sustainability, MDPI, vol. 11(9), pages 1-30, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2623-:d:228848
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/9/2623/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/9/2623/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pascual, Unai & Narloch, Ulf & Nordhagen, Stella & Drucker, Adam G., 2011. "The economics of agrobiodiversity conservation for food security under climate change," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 11(01), pages 1-30, November.
    2. Phillips, Donald L. & Lee, Jeffrey J. & Dodson, Rusty F., 1996. "Sensitivity of the US corn belt to climate change and elevated CO2: I. Corn and soybean yields," Agricultural Systems, Elsevier, vol. 52(4), pages 481-502, December.
    3. Raúl Córdova & Nicholas J. Hogarth & Markku Kanninen, 2018. "Sustainability of Smallholder Livelihoods in the Ecuadorian Highlands: A Comparison of Agroforestry and Conventional Agriculture Systems in the Indigenous Territory of Kayambi People," Land, MDPI, vol. 7(2), pages 1-31, April.
    4. Lee, Jeffrey J. & Phillips, Donald L. & Dodson, Rusty F., 1996. "Sensitivity of the US corn belt to climate change and elevated CO2: II. Soil erosion and organic carbon," Agricultural Systems, Elsevier, vol. 52(4), pages 503-521, December.
    5. Julian C. Brimelow & William R. Burrows & John M. Hanesiak, 2017. "The changing hail threat over North America in response to anthropogenic climate change," Nature Climate Change, Nature, vol. 7(7), pages 516-522, July.
    6. Lowder, Sarah K. & Skoet, Jakob & Raney, Terri, 2016. "The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide," World Development, Elsevier, vol. 87(C), pages 16-29.
    7. Louis Verchot & Meine Noordwijk & Serigne Kandji & Tom Tomich & Chin Ong & Alain Albrecht & Jens Mackensen & Cynthia Bantilan & K. Anupama & Cheryl Palm, 2007. "Climate change: linking adaptation and mitigation through agroforestry," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(5), pages 901-918, June.
    8. Jacqueline M. Vadjunec & Claudia Radel & B. L. Turner II, 2016. "Introduction: The Continued Importance of Smallholders Today," Land, MDPI, vol. 5(4), pages 1-12, October.
    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. Raúl Córdova & Nicholas J. Hogarth & Markku Kanninen, 2018. "Sustainability of Smallholder Livelihoods in the Ecuadorian Highlands: A Comparison of Agroforestry and Conventional Agriculture Systems in the Indigenous Territory of Kayambi People," Land, MDPI, vol. 7(2), pages 1-31, April.
    2. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    3. Schläpfer, Felix & Erickson, Jon D., 2001. "A Biotic Control Perspective on Nitrate Contamination of Groundwater from Agricultural Production," Agricultural and Resource Economics Review, Cambridge University Press, vol. 30(2), pages 113-126, October.
    4. Kou, Nannan & Zhao, Fu, 2011. "Techno-economical analysis of a thermo-chemical biofuel plant with feedstock and product flexibility under external disturbances," Energy, Elsevier, vol. 36(12), pages 6745-6752.
    5. Islam, Adlul & Ahuja, Lajpat R. & Garcia, Luis A. & Ma, Liwang & Saseendran, Anapalli S. & Trout, Thomas J., 2012. "Modeling the impacts of climate change on irrigated corn production in the Central Great Plains," Agricultural Water Management, Elsevier, vol. 110(C), pages 94-108.
    6. Beatrice Nöldeke & Etti Winter & Yves Laumonier & Trifosa Simamora, 2021. "Simulating Agroforestry Adoption in Rural Indonesia: The Potential of Trees on Farms for Livelihoods and Environment," Land, MDPI, vol. 10(4), pages 1-31, April.
    7. M. MEHEDI HASAN & Md. ABDUR RASHID SARKER & JEFF GOW, 2016. "Assessment Of Climate Change Impacts On Aman And Boro Rice Yields In Bangladesh," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-21, August.
    8. Schaafsma, Marije & Ferrini, Silvia & Turner, R. Kerry, 2019. "Assessing smallholder preferences for incentivised climate-smart agriculture using a discrete choice experiment," Land Use Policy, Elsevier, vol. 88(C).
    9. Doraiswamy, P.C. & McCarty, G.W. & Hunt, E.R. Jr. & Yost, R.S. & Doumbia, M. & Franzluebbers, A.J., 2007. "Modeling soil carbon sequestration in agricultural lands of Mali," Agricultural Systems, Elsevier, vol. 94(1), pages 63-74, April.
    10. Patil, Vikram & Ghosh, Ranjan & Kathuria, Vinish & Farrell, Katharine N., 2020. "Money, Land or self-employment? Understanding preference heterogeneity in landowners’ choices for compensation under land acquisition in India," Land Use Policy, Elsevier, vol. 97(C).
    11. Luis Bauluz & Yajna Govind & Filip Novokmet, 2020. "Global Land Inequality," PSE Working Papers halshs-03022318, HAL.
    12. Islam, Md. Mofakkarul & Sarker, Md. Asaduzzaman & Al Mamun, Md. Abdullah & Mamun-ur-Rashid, Md. & Roy, Debashis, 2021. "Stepping Up versus Stepping Out: On the outcomes and drivers of two alternative climate change adaptation strategies of smallholders," World Development, Elsevier, vol. 148(C).
    13. Livia Marchetti & Valentina Cattivelli & Claudia Cocozza & Fabio Salbitano & Marco Marchetti, 2020. "Beyond Sustainability in Food Systems: Perspectives from Agroecology and Social Innovation," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    14. Raissa Sorgho & Carlos A. Montenegro Quiñonez & Valérie R. Louis & Volker Winkler & Peter Dambach & Rainer Sauerborn & Olaf Horstick, 2020. "Climate Change Policies in 16 West African Countries: A Systematic Review of Adaptation with a Focus on Agriculture, Food Security, and Nutrition," IJERPH, MDPI, vol. 17(23), pages 1-21, November.
    15. Anne Jerneck, 2018. "What about Gender in Climate Change? Twelve Feminist Lessons from Development," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    16. SIngh Verma, Juhee & Sharma, Pritee, 2019. "Potential of Organic Farming to Mitigate Climate Change and Increase Small Farmers’ Welfare," MPRA Paper 99994, University Library of Munich, Germany.
    17. Hurley, Mason, 2016. "Re-examining Changes in Farm Size Distributions Worldwide Using a Modified Generalized Method of Moments Approach," Master's Theses and Plan B Papers 249287, University of Minnesota, Department of Applied Economics.
    18. Yuta J. Masuda & Jonathan R.B. Fisher & Wei Zhang & Carolina Castilla & Timothy M. Boucher & Genowefa Blundo‐Canto, 2020. "A respondent‐driven method for mapping small agricultural plots using tablets and high resolution imagery," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 727-748, July.
    19. Koolwal, Gayatri B., 2021. "Improving the measurement of rural women's employment: Global momentum and survey priorities," World Development, Elsevier, vol. 147(C).
    20. Yuewen Huo & Songlin Ye & Zhou Wu & Fusuo Zhang & Guohua Mi, 2022. "Barriers to the Development of Agricultural Mechanization in the North and Northeast China Plains: A Farmer Survey," Agriculture, MDPI, vol. 12(2), pages 1-14, February.

    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:jsusta:v:11:y:2019:i:9:p:2623-:d:228848. 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.