Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia
Drought constitutes one of the natural phenomena that causes the greatest socio-economic, and environmental losses in both the short and long term worldwide. Each year, these events are related to the presence of “El Niño—Southern Oscillation” (ENSO), which occurs throughout Colombia and has serious...
- Autores:
-
Hernández-López, Jorge Armando
Puerta-Cortés, Diana Ximena
Andrade, Hernán J.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/5825
- Acceso en línea:
- https://doi.org/10.3390/ su16167210
https://hdl.handle.net/20.500.12313/5825
http://mdpi.com/2071-1050/16/16/7210
- Palabra clave:
- Zona central de Colombia - Agricultores - Sequia
Adaptation
Drought
Farmers
Perception
Vulnerability
- Rights
- openAccess
- License
- © 2024 by the authors.
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Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| title |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| spellingShingle |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia Zona central de Colombia - Agricultores - Sequia Adaptation Drought Farmers Perception Vulnerability |
| title_short |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| title_full |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| title_fullStr |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| title_full_unstemmed |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| title_sort |
Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia |
| dc.creator.fl_str_mv |
Hernández-López, Jorge Armando Puerta-Cortés, Diana Ximena Andrade, Hernán J. |
| dc.contributor.author.none.fl_str_mv |
Hernández-López, Jorge Armando Puerta-Cortés, Diana Ximena Andrade, Hernán J. |
| dc.subject.armarc.none.fl_str_mv |
Zona central de Colombia - Agricultores - Sequia |
| topic |
Zona central de Colombia - Agricultores - Sequia Adaptation Drought Farmers Perception Vulnerability |
| dc.subject.proposal.eng.fl_str_mv |
Adaptation Drought Farmers Perception Vulnerability |
| description |
Drought constitutes one of the natural phenomena that causes the greatest socio-economic, and environmental losses in both the short and long term worldwide. Each year, these events are related to the presence of “El Niño—Southern Oscillation” (ENSO), which occurs throughout Colombia and has serious consequences in the agricultural and food sectors, as well as in most of the country’s population. Farmers have adopted a number of strategies to mitigate the negative impact of droughts on food production. Certainly, when implementing future strategies, such strategies will be less effective if farmers’ insights on ENSO are not considered. Consequently, this study was carried out to analyze the variables that predict adaptation to droughts in the dry zones of the department of Tolima. Three questionnaires were designed: socioeconomic vulnerability (SVT), risk perception (SRPT) and drought adaptation (SAT). A non-probability sample of 538 farmers was surveyed. Socio-economic vulnerability and drought perception were found to be predictive of drought adaptation in the study sample, and older people were found to be resilient to adaptation. The results of this research provide empirical evidence to analyze and formulate public policies about the impact of droughts on the most vulnerable populations. |
| publishDate |
2024 |
| dc.date.issued.none.fl_str_mv |
2024-08 |
| dc.date.accessioned.none.fl_str_mv |
2025-10-24T14:05:48Z |
| dc.date.available.none.fl_str_mv |
2025-10-24T14:05:48Z |
| dc.type.none.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Hernández-López, J.A.; Puerta-Cortés, D.X.; Andrade, H.J. Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia. Sustainability 2024, 16, 7210. https://doi.org/10.3390/ su16167210 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/ su16167210 |
| dc.identifier.issn.none.fl_str_mv |
20711050 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12313/5825 |
| dc.identifier.url.none.fl_str_mv |
http://mdpi.com/2071-1050/16/16/7210 |
| identifier_str_mv |
Hernández-López, J.A.; Puerta-Cortés, D.X.; Andrade, H.J. Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia. Sustainability 2024, 16, 7210. https://doi.org/10.3390/ su16167210 20711050 |
| url |
https://doi.org/10.3390/ su16167210 https://hdl.handle.net/20.500.12313/5825 http://mdpi.com/2071-1050/16/16/7210 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationissue.none.fl_str_mv |
16 |
| dc.relation.citationvolume.none.fl_str_mv |
16 |
| dc.relation.ispartofjournal.none.fl_str_mv |
Sustainability |
| dc.relation.references.none.fl_str_mv |
Acibuca, V.; Kaya, A.; Kaya, T. Interregional comparative analysis of farmers’ perceptions and expectations of climate change. Ital. J. Agron. 2022, 17, 1–8. Ávila Díaz, Á.J.; Carvajal Escobar, Y.; Gutiérrez Serna, S.E. Análisis de la influencia de El Niño y La Niña en la oferta hídrica mensual de la cuenca del río Cali. Rev. Tecnura 2015, 18, 120–133. Shah, A.A.; Khan, N.A.; Gong, Z.; Ahmad, I.; Naqvi, S.A.A.; Ullah, W.; Karmaoui, A. Farmers’ perspective towards climate change vulnerability, risk perceptions, and adaptation measures in Khyber Pakhtunkhwa, Pakistan. Int. J. Environ. Sci. Technol. 2022, 20, 1421–1438. Streimikiene, D.; Dahal, K.R.; Dahal, P.; Adhikari, R.K.; Naukkarinen, V.; Panday, D.; Bista, N.; Helenius, J.; Marambe, B. Climate Change Impacts and Adaptation in a Hill Farming System of the Himalayan Region: Climatic Trends, Farmers’ Perceptions and Practices. Climate 2022, 11, 11. Yadav, S.S.; Hegde, V.S.; Habibi, A.B.; Dia, M.; Verma, S. Climate Change, Agriculture and Food Security. In Food Security and Climate Change; Yadav, S.S., Redden, R.J., Hatfield, J.L., Ebert, A.W., Hunter, D., Eds.; John Wiley & Sons: New York, NY, USA, 2019; pp. 1–24. Ojeda-Flechas, C.D.; Burbano-Rodríguez, J.A.; Carvajal-Escobar, Y.; Hernández-Torres, F.L. Characterization of comprehensive drought events associated with the enso warm phase through satellite images in the valle del cauca, colombia [Caracterización de eventos de sequía integral, asociados a la fase cálida de enos, mediante imágenes satelitale. DYNA 2020, 87, 204–214. Valencia, J.M.; García, C.E.; Montero, D. Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia. Rev. Teledetec. 2017, 50, 89–100. Poveda, G.; Álvarez, D.M.; Rueda, Ó.A. Hydro-climatic variability over the Andes of Colombia associated with ENSO: A review of climatic processes and their impact on one of the Earth’s most important biodiversity hotspots. Clim. Dyn. 2011, 36, 2233–2249. Bedoya-Soto, J.M.; Poveda, G.; Trenberth, K.E.; Vélez-Upegui, J.J. Interannual hydroclimatic variability and the 2009–2011 extreme ENSO phases in Colombia: From Andean glaciers to Caribbean lowlands. Theor. Appl. Climatol. 2019, 135, 1531–1544. Loaiza Cerón, W.; Carvajal Escobar, Y.; Baquero Montoya, O.L. Índice estandarizado de precipitación (SPI) para la caracterización de sequías meteorológicas en la cuenca del río Dagua-Colombia. Estud. Geogr. 2016, 76, 557–578 Ballesteros, J.; Isaza, C. Adaptation Measures to Climate Change as Perceived by Smallholder Farmers in the Andes. J. Ethnobiol. 2021, 41, 428–446. Henao, F.; Viteri, J.P.; Rodríguez, Y.; Gómez, J.; Dyner, I. Annual and interannual complementarities of renewable energy sources in Colombia. Renew. Sustain. Energy Rev. 2020, 134, 110318. Chen, Y.; Penton, D.; Karim, F.; Aryal, S.; Wahid, S.; Taylor, P.; Cuddy, S.M. Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data. PLoS ONE 2023, 18, e0280522 Dahir, A.; Omar, M.; Abukar, Y. Internet of things based agricultural drought detection system: Case study Southern Somalia. Bull. Electr. Eng. Inform. 2023, 12, 69–74. Espinosa, L.A.; Portela, M.M.; Matos, J.P.; Gharbia, S. Climate Change Trends in a European Coastal Metropolitan Area: Rainfall, Temperature, and Extreme Events (1864–2021). Atmosphere 2022, 13, 1995 Velasco, I.; Ochoa, L.; Gutiérrez, C. Sequía, un problema de perspectiva y gestión. Región Y Soc. 2017, 17, 35–71. Mpandeli, S.; Nesamvuni, E.; Maponya, P. Adapting to the Impacts of Drought by Smallholder Farmers in Sekhukhune District in Limpopo Province, South Africa. J. Agric. Sci. 2015, 7, 115–124. Mavhura, E.; Manatsa, D.; Matiashe, M. Adapting smallholder farming to climate change and variability: Household strategies and challenges in Chipinge district, Zimbabwe. Clim. Chang. 2017, 3, 903–913. Mavhura, E.; Manyangadze, T.; Aryal, K.R. Perceived impacts of climate variability and change: An exploration of farmers’ adaptation strategies in Zimbabwe’s intensive farming region. GeoJournal 2022, 87, 3669–3684 Ogundeji, A.A.; Okolie, C.C. Perception and Adaptation Strategies of Smallholder Farmers to Drought Risk: A Scientometric Analysis. Agriculture 2022, 12, 1129 Van-Tilburg, A.J.; Hudson, P.F. Extreme weather events and farmer adaptation in Zeeland, the Netherlands: A European climate change case study from the Rhine delta. Sci. Total Environ. 2022, 844, 157212. Griffin, C.; Wreford, A.; Cradock-Henry, N.A. ‘As a farmer you’ve just got to learn to cope’: Understanding dairy farmers’ perceptions of climate change and adaptation decisions in the lower South Island of Aotearoa-New Zealand. J. Rural Stud. 2023, 98, 147–158. Smith, W.; Davies-Colley, C.; Mackay, A.; Bankoff, G. Social impact of the 2004 Manawatu floods and the “hollowing out” of rural New Zealand. Disasters 2011, 35, 540–553. Eriksen, S.; Aldunce, P.; Bahinipati, C.S.; Martins, R.D.A.; Molefe, J.I.; Nhemachena, C.; O’Brien, K.; Olorunfemi, F.; Park, J.; Sygna, L.; et al. When not every response to climate change is a good one: Identifying principles for sustainable adaptation. Clim. Dev. 2011, 3, 7–20. Rahman, H.M.; Albizua, A.; Soubry, B.; Tourangeau, W. A framework for using autonomous adaptation as a leverage point in sustainable climate adaptation. Clim. Risk Manag. 2021, 34, 100376. Tanner, T.; Lewis, D.; Wrathall, D.; Bronen, R.; Cradock-Henry, N.; Huq, S.; Lawless, C.; Nawrotzki, R.; Prasad, V.; Rahman, M.A.; et al. Livelihood resilience in the face of climate change. Nat. Clim. Chang. 2015, 5, 23–26. Derbile, E.K.; Chirawurah, D.; Naab, F.X. Vulnerability of smallholder agriculture to environmental change in North-Western Ghana and implications for development planning. Clim. Dev. 2022, 14, 39–51. Fatorić, S. Vulnerability and Adaptation to Climate Change in the Mediterranean Region. Doctoral Thesis, Universidad Autónoma de Barcelona, Barcelona, España, 2014. Keshavarz, M.; Maleksaeidi, H.; Karami, E. Livelihood vulnerability to drought: A case of rural Iran. Int. J. Disaster Risk Reduct. 2017, 21, 223–230. Sultana, R.; Irfanullah, H.M.; Selim, S.A.; Budrudzaman, M. Vulnerability and ecosystem-based adaptation in the farming communities of droughtprone Northwest Bangladesh. Environ. Chall. 2023, 11, 100707 Eze, J.N.; Onokala, P.C. Pattern of household vulnerability to desertification in Yobe state, Nigeria. GeoJournal 2022, 87, 2699–2717 Okolie, C.C.; Danso-Abbeam, G.; Ogundeji, A.A. Livelihood vulnerability to the changing climate: The experiences of smallholder farming households in the Free State Province, South Africa. Clim. Serv. 2023, 30, 100371 Virnodkar, S.S.; Pachghare, V.K.; Patil, V.C.; Jha, S.K. Remote sensing and machine learning for crop water stress determination in various crops: A critical review. Precis. Agric. 2020, 21, 1121–1155 Ali, S.; Ying, L.; Nazir, A.; Ishaq, M.; Shah, T.; Ye, X.; Tariq, A. Rural farmers perception and coping strategies towards climate change and their determinants: Evidence from Khyber Pakhtunkhwa province, Pakistan. J. Clean. Prod. 2021, 291, 125250 Khan, I.; Lei, H.; Shah, I.A.; Ali, I.; Khan, I.; Muhammad, I.; Huo, X.; Javed, T. Farm households’ risk perception, attitude and adaptation strategies in dealing with climate change: Promise and perils from rural Pakistan. Land Use Policy 2020, 91, 104395 Bahta, Y.T.; Lombard, W.A. Nexus between Social Vulnerability and Resilience to Agricultural Drought amongst South African Smallholder Livestock Households. Atmosphere 2023, 14, 900 Khan, N.; Ma, J.; Kassem, H.S.; Kazim, R.; Ray, R.L.; Ihtisham, M.; Zhang, S. Rural Farmers’ Cognition and Climate Change Adaptation Impact on Cash Crop Productivity: Evidence from a Recent Study. Int. J. Environ. Res. Public Health 2022, 19, 12556 Jha, S.; Kaechele, H.; Lana, M.; Amjath-Babu, T.S.; Sieber, S. Exploring farmers’ perceptions of Agricultural Technologies: A Case Study from Tanzania. Sustainability 2020, 12, 998. Ahmed, Z.; Shew, A.M.; Mondal, M.K.; Yadav, S.; Jagadish, S.V.; Prasad, P.V.; Buisson, M.C.; Das, M.; Bakuluzzaman, M. Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh. J. Rural Stud. 2022, 94, 274–286 Aliyar, Q.; Zulfiqar, F.; Datta, A.; Kuwornu, J.K.M.; Shrestha, S. Drought perception and field-level adaptation strategies of farming households in drought-prone areas of Afghanistan. Int. J. Disaster Risk Reduct. 2022, 72, 102862. Gashure, S.; Wana, D. Smallholder farmers’ perceptions, coping and adaptation strategies to climate variability in the UNESCO designated cultural landscapes of Konso. Ethiopia 2023, 28, 1243–1262 Marie, M.; Yirga, F.; Haile, M.; Tquabo, F. Farmers’ choices and factors affecting adoption of climate change adaptation strategies: Evidence from northwestern Ethiopia. Heliyon 2020, 6, e03867. Sertse, S.F.; Khan, N.A.; Shah, A.A.; Liu, Y.; Naqvi, S.A.A. Farm households’ perceptions and adaptation strategies to climate change risks and their determinants: Evidence from Raya Azebo district, Ethiopia. Int. J. Disaster Risk Reduct. 2021, 60, 102255. Olivares, B.O. Análisis temporal de la sequía meteorológica en localidades semiáridas de Venezuela. UGCiencia 2017, 22, 11–24 Ortega-Gaucin, D.; Velasco, I. Aspectos socioeconómicos y ambientales de las sequías en México. Aqua-LAC 2013, 5, 78–90 Melo-Leon, S.F.; Riveros-Salcedo, L.C.; Romero-Otalora, G.; Álvarez, A.C.; Diaz-Giraldo, C.; Calderón-Diaz, S.L. Efectos Económicos de Futuras Sequías en Colombia: Estimación a Partir del Fenómeno El Niño 2015. 2017. Available online: https://colaboracion.dnp.gov.co/CDT/Estudios%20Econmicos/466.pdf (accessed on 15 February 2024). Li, J.; Huimin, L. Impacts of climate change on winter wheat and summer maize dual-cropping system in the North China Plain. Environ. Res. Commun. 2022, 4, 075014 Yao, P.; Qian, L.; Wang, Z.; Meng, H.; Ju, X. Assessing Drought, Flood, and High Temperature Disasters during Sugarcane Growth Stages in Southern China. Agriculture 2022, 12, 2117. Musafiri, C.M.; Macharia, J.M.; Ng’etich, O.K.; Kiboi, M.N.; Okeyo, J.; Shisanya, C.A.; Okwuosa, E.A.; Mugendi, D.N.; Ngetich, F.K. Farming systems’ typologies analysis to inform agricultural greenhouse gas emissions potential from smallholder rain-fed farms in Kenya. Sci. Afr. 2020, 8, e00458. Asrat, P.; Simane, B. Household- and plot-level impacts of sustainable land management practices in the face of climate variability and change: Empirical evidence from Dabus Sub-basin, Blue Nile River, Ethiopia. Agric. Food Secur. 2017, 6, 61. Bwambale, N. Farmers’ Knowledge, Perceptions, and Socioeconomic Factors Influencing Decision Making for Integrated Soil Fertility Management Practices in Masaka and Rakai Districts, Central Uganda. Master’s Thesis, Iowa State University, Iowa, IA, USA, 2015 Al Mamun, A.; Roy, S.; Islam, A.R.M.; Alam, G.M.; Alam, E.; Chandra Pal, S.; Sattar, A.; Mallick, J. Smallholder farmers’ perceived climate-related risk, impact, and their choices of sustainable adaptation strategies. Sustainability 2021, 13, 11922. Rojas-Tiempo, J.; Díaz-Ruiz, R.; Álvarez-Gaxiola, F.; Ocampo-Mendoza, J.; Escalante-Estrada, A. Tecnología de producción de haba y características socioeconómicas de productores en Puebla y Tlaxcala. Rev. Mex. Cienc. Agríc. 2018, 3, 35–49 OMM. Guide to meteorological instruments and methods of observation. In World Meteorological Organization: Vol. I (Issue 8); WMO-No. 8: Measurement of Meteorological Variables; 2018. Available online: https://community.wmo.int/en/activity-areas/imop/wmo-no_8 (accessed on 19 June 2024). UNGRD; IDEAM; MINAMBIENTE; CANCILLERÍA. Estrategia Nacional para la Gestión Integral de la Sequía en Colombia. 2018. Available online: https://faolex.fao.org/docs/pdf/col218772.pdf (accessed on 19 February 2024). IGAC. Estudio General de Suelos y Zonificación de Tierras Departamento del Tolima Escala 1: 100.000, 1st ed.; In Instituto Geográfico Agustín Codazzi: Bogota, Colombia, 2016; pp. 1–545. CORTOLIMA. Plan de Gestión Ambiental Regional del Tolima 2013–2023. [Internet]; Corporación Autónoma Regional del Tolima: Ibagué, Colombia, 2009. Available online: https://tolima.gov.co/images/transparencia/planeacion/formatos-de-empalme/gestion-del-desarrollo/lineamientos-seguimiento-plan-de-desarrollo/planes-sectoriales/gestion-del-riesgo/plan-de-gestion-ambiental-regional-2013_2023_tolima.pdf (accessed on 20 February 2024) Anning, A.K.; Ofori-Yeboah, A.; Baffour-Ata, F.; Owusu, G. Climate change manifestations and adaptations in cocoa farms: Perspectives of smallholder farmers in the Adansi South District, Ghana. Curr. Res. Environ. Sustain. 2022, 4, 100196. Puerta-Cortés, D.; Carbonell, X. El modelo de los cinco grandes factores de personalidad y el uso problemático de Internet en jóvenes colombianos. Adicciones 2014, 26, 54. Dendir, Z.; Simane, B. Farmers’ perceptions about changes in climate variables: Perceived risks and household responses in different agro-ecological communities, Southern Ethiopia. Clim. Serv. 2021, 22, 100236 Yiridomoh, G.Y.; Appiah, D.O.; Owusu, V.; Bonye, S.Z. Women smallholder farmers off-farm adaptation strategies to climate variability in rural Savannah, Ghana. GeoJournal 2021, 86, 2367–2385 McCoach, D.B.; Gable, R.K.; Madura, J.P. Instrument Development in the Affective Domain; Springer: New York, NY, USA, 2013; Volume 10, pp. 978–981 Mooney, S.; O’Dwyer, J.; Lavallee, S.; Hynds, P.D. Private groundwater contamination and extreme weather events: The role of demographics, experience and cognitive factors on risk perceptions of Irish private well users. Sci. Total Environ. 2021, 784, 147118. Ayeri, O.S.; Christian, V.R.; Josef, E.; Michael, H. Local Perceptions and Responses to Climate Change and Variability: The Case of Laikipia District, Kenya. Sustainability 2012, 4, 3302–3325. Mekonnen, M.; Abeje, T.; Addisu, S. Integrated watershed management on soil quality, crop productivity and climate change adaptation, dry highland of Northeast Ethiopia. Agric. Syst. 2021, 186, 102964. Ngure, M.W.; Wandiga, S.O.; Olago, D.O.; Oriaso, S.O. Climate change stressors affecting household food security among Kimandi-Wanyaga smallholder farmers in Murang’a County, Kenya. Open Agric. 2021, 6, 587–608 Jia, J.J.; Wang, Y.; Liu, X.S.; Li, F.; Zhang, X.S. The response capability analysis of farmers on social-economic-natural complex ecosystem management in Alxa, Inner Mongolia. Shengtai Xuebao 2017, 37, 5836–5845. Maliki, M.A.; Pauline, N.M. Living and Responding to Climatic Stresses: Perspectives from Smallholder Farmers in Hanang’ District, Tanzania. Environ. Manag. 2022, 71, 131–144. Von-Gehren, P.; Bomers, S.; Tripolt, T.; Söllinger, J.; Prat, N.; Redondo, B.; Vorss, R.; Teige, M.; Kamptner, A.; Ribarits, A. Farmers Feel the Climate Change: Variety Choice as an Adaptation Strategy of European Potato Farmers. Climate 2023, 11, 189. Darjee, K.B.; Neupane, P.R.; Köhl, M. Proactive Adaptation Responses by Vulnerable Communities to Climate Change Impacts. Sustainability 2023, 15, 10952. Weber, E.U.; Stern, P.C. Public Understanding of Climate Change in the United States. Am. Psychol. 2011, 66, 315–328. Smit, B.; Pilifosova, O. Adaptation to Climate Change in the Context of Sustainable Development and Equity. In Climate Change 2003: Impacs, Adaption, and Vulnerability; McCarthy, J.J., Canciany, O.F., Leary, N.A., Dokken, D.J., White, K.S., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2001; p. 1022. Ayanlade, A.; Oluwatimilehin, I.A.; Ayanlade, O.S.; Adeyeye, O.; Abatemi-Usman, S. Gendered vulnerabilities to climate change and farmers’ adaptation responses in Kwara and Nassarawa States, Nigeria. Humanit. Soc. Sci. Commun. 2023, 10, 911. Islam, M.S.; Kabir, M.H.; Ali, M.S.; Sultana, M.S.; Mahasin, M. Farmers’ Knowledge on Climate Change Effects in Agriculture. Agric. Sci. 2019, 10, 386–394. Landaverde, R.; Rodriguez, M.T.; Niewoehner-Green, J.; Kitchel, T.; Chuquillanqui, J. Climate Change Perceptions and Adaptation Strategies: A Mixed Methods Study with Subsistence Farmers in Rural Peru. Sustainability 2022, 14, 6015. Smit, B.; Pilifosova, O. From adaptation to adaptive capacity and vulnerability reduction. In Climate Change, Adaptive Capacity and Development; World Scientific: Singapore, 2003; pp. 9–28. Mensah, M.; Vlek, P.L.G.; Fosu-Mensah, B.Y. Gender and climate change linkages in the semi-arid region of Ghana. GeoJournal 2022, 87, 363–376. Ahmed, Z.; Guha, G.S.; Shew, A.M.; Alam, G.M.M. Climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine char islands of Bangladesh. Land Use Policy 2021, 103, 105295 Hossain, M.F. Impact of climate change in Bangladesh: Rainfall. Int. J. Agric. Innov. Res. 2014, 2, 860–863 Karki, S.; Burton, P.; Mackey, B. The experiences and perceptions of farmers about the impacts of climate change and variability on crop production: A review. Clim. Dev. 2020, 12, 80–95. Waibel, H.; Pahlisch, T.H.; Völker, M. Farmers’ Perceptions of and Adaptations to Climate Change in Southeast Asia: The Case Study from Thailand and Vietnam. Clim. Smart Agric. Build. Resil. Clim. Chang. 2018, 52, 137–160. Alam, G.M.M.; Alam, K.; Mushtaq, S. Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh. Clim. Risk Manag. 2017, 17, 52–63. Habiba, U.; Shaw, R.; Takeuchi, Y. Farmer’s perception and adaptation practices to cope with drought: Perspectives from Northwestern Bangladesh. Int. J. Disaster Risk Reduct. 2012, 1, 72–84 Sattler, D.N.; Bishkhorloo, B.; Graham, J.M. Climate change threatens nomadic herding in Mongolia: A model of climate change risk perception and behavioral adaptation. J. Environ. Psychol. 2021, 75, 101620 Iglesias, A.; Garrote, L.; Bardají, I.; Santillán, D.; Esteve, P. Looking into individual choices and local realities to define adaptation options to drought and climate change. J. Environ. Manag. 2021, 293, 112861 Suazo Muñoz, C.; Sandoval-Díaz, J. Revisión sistemática de la percepción de riesgo en agricultores ante la sequía: Factores de influencia, contenidos percibidos, estrategias de adaptación y prácticas asociadas. Sci. Agropecu. 2023, 14, 139–152. Núñez, E.G.; Lara, S.C.; García, I.R. Vulnerabilidad social y percepción del riesgo en la población cubana expuesta a la sequía. Pers. Y Soc. 2022, 36, 9–28. |
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Hernández-López, Jorge Armando06281105-b65d-4bbf-81fa-535b78086e42-1Puerta-Cortés, Diana Ximenab85e87fc-8842-4733-9405-b4ea8a1a2a39-1Andrade, Hernán J.a44912b7-65dc-47e2-a8ed-6c799a6dd5d6-12025-10-24T14:05:48Z2025-10-24T14:05:48Z2024-08Drought constitutes one of the natural phenomena that causes the greatest socio-economic, and environmental losses in both the short and long term worldwide. Each year, these events are related to the presence of “El Niño—Southern Oscillation” (ENSO), which occurs throughout Colombia and has serious consequences in the agricultural and food sectors, as well as in most of the country’s population. Farmers have adopted a number of strategies to mitigate the negative impact of droughts on food production. Certainly, when implementing future strategies, such strategies will be less effective if farmers’ insights on ENSO are not considered. Consequently, this study was carried out to analyze the variables that predict adaptation to droughts in the dry zones of the department of Tolima. Three questionnaires were designed: socioeconomic vulnerability (SVT), risk perception (SRPT) and drought adaptation (SAT). A non-probability sample of 538 farmers was surveyed. Socio-economic vulnerability and drought perception were found to be predictive of drought adaptation in the study sample, and older people were found to be resilient to adaptation. The results of this research provide empirical evidence to analyze and formulate public policies about the impact of droughts on the most vulnerable populations.application/pdfHernández-López, J.A.; Puerta-Cortés, D.X.; Andrade, H.J. Predictive Analysis of Adaptation to Drought of Farmers in the Central Zone of Colombia. Sustainability 2024, 16, 7210. https://doi.org/10.3390/ su16167210https://doi.org/10.3390/ su1616721020711050https://hdl.handle.net/20.500.12313/5825http://mdpi.com/2071-1050/16/16/7210engMultidisciplinary Digital Publishing Institute (MDPI)Suiza1616SustainabilityAcibuca, V.; Kaya, A.; Kaya, T. Interregional comparative analysis of farmers’ perceptions and expectations of climate change. Ital. J. Agron. 2022, 17, 1–8.Ávila Díaz, Á.J.; Carvajal Escobar, Y.; Gutiérrez Serna, S.E. Análisis de la influencia de El Niño y La Niña en la oferta hídrica mensual de la cuenca del río Cali. Rev. Tecnura 2015, 18, 120–133.Shah, A.A.; Khan, N.A.; Gong, Z.; Ahmad, I.; Naqvi, S.A.A.; Ullah, W.; Karmaoui, A. Farmers’ perspective towards climate change vulnerability, risk perceptions, and adaptation measures in Khyber Pakhtunkhwa, Pakistan. Int. J. Environ. Sci. Technol. 2022, 20, 1421–1438.Streimikiene, D.; Dahal, K.R.; Dahal, P.; Adhikari, R.K.; Naukkarinen, V.; Panday, D.; Bista, N.; Helenius, J.; Marambe, B. Climate Change Impacts and Adaptation in a Hill Farming System of the Himalayan Region: Climatic Trends, Farmers’ Perceptions and Practices. Climate 2022, 11, 11.Yadav, S.S.; Hegde, V.S.; Habibi, A.B.; Dia, M.; Verma, S. Climate Change, Agriculture and Food Security. In Food Security and Climate Change; Yadav, S.S., Redden, R.J., Hatfield, J.L., Ebert, A.W., Hunter, D., Eds.; John Wiley & Sons: New York, NY, USA, 2019; pp. 1–24.Ojeda-Flechas, C.D.; Burbano-Rodríguez, J.A.; Carvajal-Escobar, Y.; Hernández-Torres, F.L. Characterization of comprehensive drought events associated with the enso warm phase through satellite images in the valle del cauca, colombia [Caracterización de eventos de sequía integral, asociados a la fase cálida de enos, mediante imágenes satelitale. DYNA 2020, 87, 204–214.Valencia, J.M.; García, C.E.; Montero, D. Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia. Rev. Teledetec. 2017, 50, 89–100.Poveda, G.; Álvarez, D.M.; Rueda, Ó.A. Hydro-climatic variability over the Andes of Colombia associated with ENSO: A review of climatic processes and their impact on one of the Earth’s most important biodiversity hotspots. Clim. Dyn. 2011, 36, 2233–2249.Bedoya-Soto, J.M.; Poveda, G.; Trenberth, K.E.; Vélez-Upegui, J.J. Interannual hydroclimatic variability and the 2009–2011 extreme ENSO phases in Colombia: From Andean glaciers to Caribbean lowlands. Theor. Appl. Climatol. 2019, 135, 1531–1544.Loaiza Cerón, W.; Carvajal Escobar, Y.; Baquero Montoya, O.L. Índice estandarizado de precipitación (SPI) para la caracterización de sequías meteorológicas en la cuenca del río Dagua-Colombia. Estud. Geogr. 2016, 76, 557–578Ballesteros, J.; Isaza, C. Adaptation Measures to Climate Change as Perceived by Smallholder Farmers in the Andes. J. Ethnobiol. 2021, 41, 428–446.Henao, F.; Viteri, J.P.; Rodríguez, Y.; Gómez, J.; Dyner, I. Annual and interannual complementarities of renewable energy sources in Colombia. Renew. Sustain. Energy Rev. 2020, 134, 110318.Chen, Y.; Penton, D.; Karim, F.; Aryal, S.; Wahid, S.; Taylor, P.; Cuddy, S.M. Characterisation of meteorological drought at sub-catchment scale in Afghanistan using station-observed climate data. PLoS ONE 2023, 18, e0280522Dahir, A.; Omar, M.; Abukar, Y. Internet of things based agricultural drought detection system: Case study Southern Somalia. Bull. Electr. Eng. Inform. 2023, 12, 69–74.Espinosa, L.A.; Portela, M.M.; Matos, J.P.; Gharbia, S. Climate Change Trends in a European Coastal Metropolitan Area: Rainfall, Temperature, and Extreme Events (1864–2021). Atmosphere 2022, 13, 1995Velasco, I.; Ochoa, L.; Gutiérrez, C. Sequía, un problema de perspectiva y gestión. Región Y Soc. 2017, 17, 35–71.Mpandeli, S.; Nesamvuni, E.; Maponya, P. Adapting to the Impacts of Drought by Smallholder Farmers in Sekhukhune District in Limpopo Province, South Africa. J. Agric. Sci. 2015, 7, 115–124.Mavhura, E.; Manatsa, D.; Matiashe, M. Adapting smallholder farming to climate change and variability: Household strategies and challenges in Chipinge district, Zimbabwe. Clim. Chang. 2017, 3, 903–913.Mavhura, E.; Manyangadze, T.; Aryal, K.R. Perceived impacts of climate variability and change: An exploration of farmers’ adaptation strategies in Zimbabwe’s intensive farming region. GeoJournal 2022, 87, 3669–3684Ogundeji, A.A.; Okolie, C.C. Perception and Adaptation Strategies of Smallholder Farmers to Drought Risk: A Scientometric Analysis. Agriculture 2022, 12, 1129Van-Tilburg, A.J.; Hudson, P.F. Extreme weather events and farmer adaptation in Zeeland, the Netherlands: A European climate change case study from the Rhine delta. Sci. Total Environ. 2022, 844, 157212.Griffin, C.; Wreford, A.; Cradock-Henry, N.A. ‘As a farmer you’ve just got to learn to cope’: Understanding dairy farmers’ perceptions of climate change and adaptation decisions in the lower South Island of Aotearoa-New Zealand. J. Rural Stud. 2023, 98, 147–158.Smith, W.; Davies-Colley, C.; Mackay, A.; Bankoff, G. Social impact of the 2004 Manawatu floods and the “hollowing out” of rural New Zealand. Disasters 2011, 35, 540–553.Eriksen, S.; Aldunce, P.; Bahinipati, C.S.; Martins, R.D.A.; Molefe, J.I.; Nhemachena, C.; O’Brien, K.; Olorunfemi, F.; Park, J.; Sygna, L.; et al. When not every response to climate change is a good one: Identifying principles for sustainable adaptation. Clim. Dev. 2011, 3, 7–20.Rahman, H.M.; Albizua, A.; Soubry, B.; Tourangeau, W. A framework for using autonomous adaptation as a leverage point in sustainable climate adaptation. Clim. Risk Manag. 2021, 34, 100376.Tanner, T.; Lewis, D.; Wrathall, D.; Bronen, R.; Cradock-Henry, N.; Huq, S.; Lawless, C.; Nawrotzki, R.; Prasad, V.; Rahman, M.A.; et al. Livelihood resilience in the face of climate change. Nat. Clim. Chang. 2015, 5, 23–26.Derbile, E.K.; Chirawurah, D.; Naab, F.X. Vulnerability of smallholder agriculture to environmental change in North-Western Ghana and implications for development planning. Clim. Dev. 2022, 14, 39–51.Fatorić, S. Vulnerability and Adaptation to Climate Change in the Mediterranean Region. Doctoral Thesis, Universidad Autónoma de Barcelona, Barcelona, España, 2014.Keshavarz, M.; Maleksaeidi, H.; Karami, E. Livelihood vulnerability to drought: A case of rural Iran. Int. J. Disaster Risk Reduct. 2017, 21, 223–230.Sultana, R.; Irfanullah, H.M.; Selim, S.A.; Budrudzaman, M. Vulnerability and ecosystem-based adaptation in the farming communities of droughtprone Northwest Bangladesh. Environ. Chall. 2023, 11, 100707Eze, J.N.; Onokala, P.C. Pattern of household vulnerability to desertification in Yobe state, Nigeria. GeoJournal 2022, 87, 2699–2717Okolie, C.C.; Danso-Abbeam, G.; Ogundeji, A.A. Livelihood vulnerability to the changing climate: The experiences of smallholder farming households in the Free State Province, South Africa. Clim. Serv. 2023, 30, 100371Virnodkar, S.S.; Pachghare, V.K.; Patil, V.C.; Jha, S.K. Remote sensing and machine learning for crop water stress determination in various crops: A critical review. Precis. Agric. 2020, 21, 1121–1155Ali, S.; Ying, L.; Nazir, A.; Ishaq, M.; Shah, T.; Ye, X.; Tariq, A. Rural farmers perception and coping strategies towards climate change and their determinants: Evidence from Khyber Pakhtunkhwa province, Pakistan. J. Clean. Prod. 2021, 291, 125250Khan, I.; Lei, H.; Shah, I.A.; Ali, I.; Khan, I.; Muhammad, I.; Huo, X.; Javed, T. Farm households’ risk perception, attitude and adaptation strategies in dealing with climate change: Promise and perils from rural Pakistan. Land Use Policy 2020, 91, 104395Bahta, Y.T.; Lombard, W.A. Nexus between Social Vulnerability and Resilience to Agricultural Drought amongst South African Smallholder Livestock Households. Atmosphere 2023, 14, 900Khan, N.; Ma, J.; Kassem, H.S.; Kazim, R.; Ray, R.L.; Ihtisham, M.; Zhang, S. Rural Farmers’ Cognition and Climate Change Adaptation Impact on Cash Crop Productivity: Evidence from a Recent Study. Int. J. Environ. Res. Public Health 2022, 19, 12556Jha, S.; Kaechele, H.; Lana, M.; Amjath-Babu, T.S.; Sieber, S. Exploring farmers’ perceptions of Agricultural Technologies: A Case Study from Tanzania. Sustainability 2020, 12, 998.Ahmed, Z.; Shew, A.M.; Mondal, M.K.; Yadav, S.; Jagadish, S.V.; Prasad, P.V.; Buisson, M.C.; Das, M.; Bakuluzzaman, M. Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh. J. Rural Stud. 2022, 94, 274–286Aliyar, Q.; Zulfiqar, F.; Datta, A.; Kuwornu, J.K.M.; Shrestha, S. Drought perception and field-level adaptation strategies of farming households in drought-prone areas of Afghanistan. Int. J. Disaster Risk Reduct. 2022, 72, 102862.Gashure, S.; Wana, D. Smallholder farmers’ perceptions, coping and adaptation strategies to climate variability in the UNESCO designated cultural landscapes of Konso. Ethiopia 2023, 28, 1243–1262Marie, M.; Yirga, F.; Haile, M.; Tquabo, F. Farmers’ choices and factors affecting adoption of climate change adaptation strategies: Evidence from northwestern Ethiopia. Heliyon 2020, 6, e03867.Sertse, S.F.; Khan, N.A.; Shah, A.A.; Liu, Y.; Naqvi, S.A.A. Farm households’ perceptions and adaptation strategies to climate change risks and their determinants: Evidence from Raya Azebo district, Ethiopia. Int. J. Disaster Risk Reduct. 2021, 60, 102255.Olivares, B.O. Análisis temporal de la sequía meteorológica en localidades semiáridas de Venezuela. UGCiencia 2017, 22, 11–24Ortega-Gaucin, D.; Velasco, I. Aspectos socioeconómicos y ambientales de las sequías en México. Aqua-LAC 2013, 5, 78–90Melo-Leon, S.F.; Riveros-Salcedo, L.C.; Romero-Otalora, G.; Álvarez, A.C.; Diaz-Giraldo, C.; Calderón-Diaz, S.L. Efectos Económicos de Futuras Sequías en Colombia: Estimación a Partir del Fenómeno El Niño 2015. 2017. Available online: https://colaboracion.dnp.gov.co/CDT/Estudios%20Econmicos/466.pdf (accessed on 15 February 2024).Li, J.; Huimin, L. Impacts of climate change on winter wheat and summer maize dual-cropping system in the North China Plain. Environ. Res. Commun. 2022, 4, 075014Yao, P.; Qian, L.; Wang, Z.; Meng, H.; Ju, X. Assessing Drought, Flood, and High Temperature Disasters during Sugarcane Growth Stages in Southern China. Agriculture 2022, 12, 2117.Musafiri, C.M.; Macharia, J.M.; Ng’etich, O.K.; Kiboi, M.N.; Okeyo, J.; Shisanya, C.A.; Okwuosa, E.A.; Mugendi, D.N.; Ngetich, F.K. Farming systems’ typologies analysis to inform agricultural greenhouse gas emissions potential from smallholder rain-fed farms in Kenya. Sci. Afr. 2020, 8, e00458.Asrat, P.; Simane, B. Household- and plot-level impacts of sustainable land management practices in the face of climate variability and change: Empirical evidence from Dabus Sub-basin, Blue Nile River, Ethiopia. Agric. Food Secur. 2017, 6, 61.Bwambale, N. Farmers’ Knowledge, Perceptions, and Socioeconomic Factors Influencing Decision Making for Integrated Soil Fertility Management Practices in Masaka and Rakai Districts, Central Uganda. Master’s Thesis, Iowa State University, Iowa, IA, USA, 2015Al Mamun, A.; Roy, S.; Islam, A.R.M.; Alam, G.M.; Alam, E.; Chandra Pal, S.; Sattar, A.; Mallick, J. Smallholder farmers’ perceived climate-related risk, impact, and their choices of sustainable adaptation strategies. Sustainability 2021, 13, 11922.Rojas-Tiempo, J.; Díaz-Ruiz, R.; Álvarez-Gaxiola, F.; Ocampo-Mendoza, J.; Escalante-Estrada, A. Tecnología de producción de haba y características socioeconómicas de productores en Puebla y Tlaxcala. Rev. Mex. Cienc. Agríc. 2018, 3, 35–49OMM. Guide to meteorological instruments and methods of observation. In World Meteorological Organization: Vol. I (Issue 8); WMO-No. 8: Measurement of Meteorological Variables; 2018. Available online: https://community.wmo.int/en/activity-areas/imop/wmo-no_8 (accessed on 19 June 2024).UNGRD; IDEAM; MINAMBIENTE; CANCILLERÍA. Estrategia Nacional para la Gestión Integral de la Sequía en Colombia. 2018. Available online: https://faolex.fao.org/docs/pdf/col218772.pdf (accessed on 19 February 2024).IGAC. Estudio General de Suelos y Zonificación de Tierras Departamento del Tolima Escala 1: 100.000, 1st ed.; In Instituto Geográfico Agustín Codazzi: Bogota, Colombia, 2016; pp. 1–545.CORTOLIMA. Plan de Gestión Ambiental Regional del Tolima 2013–2023. [Internet]; Corporación Autónoma Regional del Tolima: Ibagué, Colombia, 2009. Available online: https://tolima.gov.co/images/transparencia/planeacion/formatos-de-empalme/gestion-del-desarrollo/lineamientos-seguimiento-plan-de-desarrollo/planes-sectoriales/gestion-del-riesgo/plan-de-gestion-ambiental-regional-2013_2023_tolima.pdf (accessed on 20 February 2024)Anning, A.K.; Ofori-Yeboah, A.; Baffour-Ata, F.; Owusu, G. Climate change manifestations and adaptations in cocoa farms: Perspectives of smallholder farmers in the Adansi South District, Ghana. Curr. Res. Environ. Sustain. 2022, 4, 100196.Puerta-Cortés, D.; Carbonell, X. El modelo de los cinco grandes factores de personalidad y el uso problemático de Internet en jóvenes colombianos. Adicciones 2014, 26, 54.Dendir, Z.; Simane, B. Farmers’ perceptions about changes in climate variables: Perceived risks and household responses in different agro-ecological communities, Southern Ethiopia. Clim. Serv. 2021, 22, 100236Yiridomoh, G.Y.; Appiah, D.O.; Owusu, V.; Bonye, S.Z. Women smallholder farmers off-farm adaptation strategies to climate variability in rural Savannah, Ghana. GeoJournal 2021, 86, 2367–2385McCoach, D.B.; Gable, R.K.; Madura, J.P. Instrument Development in the Affective Domain; Springer: New York, NY, USA, 2013; Volume 10, pp. 978–981Mooney, S.; O’Dwyer, J.; Lavallee, S.; Hynds, P.D. Private groundwater contamination and extreme weather events: The role of demographics, experience and cognitive factors on risk perceptions of Irish private well users. Sci. Total Environ. 2021, 784, 147118.Ayeri, O.S.; Christian, V.R.; Josef, E.; Michael, H. Local Perceptions and Responses to Climate Change and Variability: The Case of Laikipia District, Kenya. Sustainability 2012, 4, 3302–3325.Mekonnen, M.; Abeje, T.; Addisu, S. Integrated watershed management on soil quality, crop productivity and climate change adaptation, dry highland of Northeast Ethiopia. Agric. Syst. 2021, 186, 102964.Ngure, M.W.; Wandiga, S.O.; Olago, D.O.; Oriaso, S.O. Climate change stressors affecting household food security among Kimandi-Wanyaga smallholder farmers in Murang’a County, Kenya. Open Agric. 2021, 6, 587–608Jia, J.J.; Wang, Y.; Liu, X.S.; Li, F.; Zhang, X.S. The response capability analysis of farmers on social-economic-natural complex ecosystem management in Alxa, Inner Mongolia. Shengtai Xuebao 2017, 37, 5836–5845.Maliki, M.A.; Pauline, N.M. Living and Responding to Climatic Stresses: Perspectives from Smallholder Farmers in Hanang’ District, Tanzania. Environ. Manag. 2022, 71, 131–144.Von-Gehren, P.; Bomers, S.; Tripolt, T.; Söllinger, J.; Prat, N.; Redondo, B.; Vorss, R.; Teige, M.; Kamptner, A.; Ribarits, A. Farmers Feel the Climate Change: Variety Choice as an Adaptation Strategy of European Potato Farmers. Climate 2023, 11, 189.Darjee, K.B.; Neupane, P.R.; Köhl, M. Proactive Adaptation Responses by Vulnerable Communities to Climate Change Impacts. Sustainability 2023, 15, 10952.Weber, E.U.; Stern, P.C. Public Understanding of Climate Change in the United States. Am. Psychol. 2011, 66, 315–328.Smit, B.; Pilifosova, O. Adaptation to Climate Change in the Context of Sustainable Development and Equity. In Climate Change 2003: Impacs, Adaption, and Vulnerability; McCarthy, J.J., Canciany, O.F., Leary, N.A., Dokken, D.J., White, K.S., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2001; p. 1022.Ayanlade, A.; Oluwatimilehin, I.A.; Ayanlade, O.S.; Adeyeye, O.; Abatemi-Usman, S. Gendered vulnerabilities to climate change and farmers’ adaptation responses in Kwara and Nassarawa States, Nigeria. Humanit. Soc. Sci. Commun. 2023, 10, 911.Islam, M.S.; Kabir, M.H.; Ali, M.S.; Sultana, M.S.; Mahasin, M. Farmers’ Knowledge on Climate Change Effects in Agriculture. Agric. Sci. 2019, 10, 386–394.Landaverde, R.; Rodriguez, M.T.; Niewoehner-Green, J.; Kitchel, T.; Chuquillanqui, J. Climate Change Perceptions and Adaptation Strategies: A Mixed Methods Study with Subsistence Farmers in Rural Peru. Sustainability 2022, 14, 6015.Smit, B.; Pilifosova, O. From adaptation to adaptive capacity and vulnerability reduction. In Climate Change, Adaptive Capacity and Development; World Scientific: Singapore, 2003; pp. 9–28.Mensah, M.; Vlek, P.L.G.; Fosu-Mensah, B.Y. Gender and climate change linkages in the semi-arid region of Ghana. GeoJournal 2022, 87, 363–376.Ahmed, Z.; Guha, G.S.; Shew, A.M.; Alam, G.M.M. Climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine char islands of Bangladesh. Land Use Policy 2021, 103, 105295Hossain, M.F. Impact of climate change in Bangladesh: Rainfall. Int. J. Agric. Innov. Res. 2014, 2, 860–863Karki, S.; Burton, P.; Mackey, B. The experiences and perceptions of farmers about the impacts of climate change and variability on crop production: A review. Clim. Dev. 2020, 12, 80–95.Waibel, H.; Pahlisch, T.H.; Völker, M. Farmers’ Perceptions of and Adaptations to Climate Change in Southeast Asia: The Case Study from Thailand and Vietnam. Clim. Smart Agric. Build. Resil. Clim. Chang. 2018, 52, 137–160.Alam, G.M.M.; Alam, K.; Mushtaq, S. Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh. Clim. Risk Manag. 2017, 17, 52–63.Habiba, U.; Shaw, R.; Takeuchi, Y. Farmer’s perception and adaptation practices to cope with drought: Perspectives from Northwestern Bangladesh. Int. J. Disaster Risk Reduct. 2012, 1, 72–84Sattler, D.N.; Bishkhorloo, B.; Graham, J.M. Climate change threatens nomadic herding in Mongolia: A model of climate change risk perception and behavioral adaptation. J. Environ. Psychol. 2021, 75, 101620Iglesias, A.; Garrote, L.; Bardají, I.; Santillán, D.; Esteve, P. Looking into individual choices and local realities to define adaptation options to drought and climate change. J. Environ. Manag. 2021, 293, 112861Suazo Muñoz, C.; Sandoval-Díaz, J. Revisión sistemática de la percepción de riesgo en agricultores ante la sequía: Factores de influencia, contenidos percibidos, estrategias de adaptación y prácticas asociadas. Sci. Agropecu. 2023, 14, 139–152.Núñez, E.G.; Lara, S.C.; García, I.R. Vulnerabilidad social y percepción del riesgo en la población cubana expuesta a la sequía. Pers. Y Soc. 2022, 36, 9–28.© 2024 by the authors.info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/Zona central de Colombia - Agricultores - SequiaAdaptationDroughtFarmersPerceptionVulnerabilityPredictive Analysis of Adaptation to Drought of Farmers in the Central Zone of ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/78944910-e6e1-4e23-9cb9-27ddd7fd6199/download2fa3e590786b9c0f3ceba1b9656b7ac3MD51ORIGINALArtículo.pdfArtículo.pdfapplication/pdf100953https://repositorio.unibague.edu.co/bitstreams/f5551244-defc-413d-b9f0-132b3113fd6a/download2272bc3be49eb484005f0823ddeaf4bdMD52TEXTArtículo.pdf.txtArtículo.pdf.txtExtracted texttext/plain2403https://repositorio.unibague.edu.co/bitstreams/941baffc-110c-4ef0-8cdd-d2cb83e727db/downloada950cd3ff3bd53a3b4f14f1fa83f908bMD53THUMBNAILArtículo.pdf.jpgArtículo.pdf.jpgIM Thumbnailimage/jpeg23314https://repositorio.unibague.edu.co/bitstreams/fa1a0a7c-48cd-4b87-985a-8a99fa053b4d/download96328ce68b8e4d92c27132ebaeebaa12MD5420.500.12313/5825oai:repositorio.unibague.edu.co:20.500.12313/58252025-10-25 03:02:14.967https://creativecommons.org/licenses/by-nc/4.0/© 2024 by the authors.https://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8= |
