- -

Modelamiento hidro-económico de los efectos del cambio climático y política en la agricultura andina

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Modelamiento hidro-económico de los efectos del cambio climático y política en la agricultura andina

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: CrispinPonceRendon ...
Tamaño: 4.659Mb
Formato: PDF
Descripción: Versión editorial
Abrir
dc.contributor.author Crispin Cunya, Marianella es_ES
dc.contributor.author Ponce Oliva, Roberto Daniel es_ES
dc.contributor.author Rendon Schneir, Eric es_ES
dc.contributor.author Arias Montevechio, Esteban Eduardo es_ES
dc.date.accessioned 2023-07-11T11:44:57Z
dc.date.available 2023-07-11T11:44:57Z
dc.date.issued 2023-06-26
dc.identifier.issn 1578-0732
dc.identifier.uri http://hdl.handle.net/10251/194820
dc.description.abstract [EN] Climate change has been affecting agriculture activities, particularly, in the Andean Region, given its high level of exposure, sensitivity and low adaptive capacity. The adaptive response of Andean agriculture to a variation in water availability due to climate change was evaluated. For this, a hydro-economic model was developed that integrates two modules: hydrological modeling based on SWAT and an economic optimization model based on PMP. There is a high agricultural vulnerability to climate change, situation that could be reversed through the application of an agricultural policy based on the efficient use of water. es_ES
dc.description.abstract [ES] El cambio climático viene afectando de manera diferenciada a la agricultura, en particular, en la zona andina, dada su alta exposición, sensibilidad y baja capacidad adaptativa. Se evaluó la respuesta adaptativa de la agricultura andina frente a una variación de la disponibilidad hídrica debido al cambio climático en base al modelo hidro-económico que integra dos módulos: el modelamiento hidrológico en base al SWAT y un modelo económico de optimización en base al PMP. Se determinó una alta vulnerabilidad agrícola frente al cambio climático situación que podría revertirse al aplicar una política agraria en base al uso eficiente del agua. es_ES
dc.description.sponsorship Los autores agradecen al Convenio de Subvención N.° 200-2015-FONDECYT, que en su cláusula tercera otorga a favor de la Universidad Nacional Agraria La Molina una subvención para el desarrollo del Doctorado de Economía de los Recursos Naturales y desarrollo sustentable es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Economía Agraria y Recursos Naturales - Agricultural and Resource Economics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Andean agriculture es_ES
dc.subject Hydro-economic es_ES
dc.subject Climate change es_ES
dc.subject Agricultura andina es_ES
dc.subject Cambio climático es_ES
dc.subject Hidro-económico es_ES
dc.title Modelamiento hidro-económico de los efectos del cambio climático y política en la agricultura andina es_ES
dc.title.alternative Hydro-economic modeling of the climate change and politics effects in Andean agriculture es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.7201/earn.2023.01.03
dc.relation.projectID info:eu-repo/grantAgreement/FONDECYT//200-2015-FONDECYT es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Crispin Cunya, M.; Ponce Oliva, RD.; Rendon Schneir, E.; Arias Montevechio, EE. (2023). Modelamiento hidro-económico de los efectos del cambio climático y política en la agricultura andina. Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. 23(1):55-87. https://doi.org/10.7201/earn.2023.01.03 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.7201/earn.2023.01.03 es_ES
dc.description.upvformatpinicio 55 es_ES
dc.description.upvformatpfin 87 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2174-7350
dc.relation.pasarela OJS\14306 es_ES
dc.contributor.funder Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica, Perú es_ES
dc.description.references Alexandra, J. (2017). “Risks, Uncertainty and Climate Confusion in the Murray–Darling Basin Reforms”. Water Economics and Policy, 3(3), 1650038. https://doi.org/10.1142/S2382624X16500387 es_ES
dc.description.references ANA. (2014). Inventario de lagunas y glaciares. Obtenido de: Autoridad Nacional del Agua (ANA): http://www.ana.gob.pe/sites/default/files/normatividad/files/inventario_de_lagunas_del_peru_parte1.pdf es_ES
dc.description.references Arjoon, D., Mohamed, Y., Goor, Q. & Tilmant, A. (2014). “Hydro-economic risk assessment in the eastern Nile Riverbasin”. Water Resources and Economics, 8, 16-31. https://doi.org/10.1016/j.wre.2014.10.004 es_ES
dc.description.references Arnold, J., Srinivasan, R., Muttiah, R. & Williams, J. (1998). “Large area hydrologic modeling and assessment part I: Model development”. Journal of the American Water Resources Association, 34(1), 73-89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x es_ES
dc.description.references Barrios, E. (2007). “Soil biota, ecosystem services and land productivity”. Ecological Economics, 64(2), 269-285. https://doi.org/10.1016/j.ecolecon.2007.03.004 es_ES
dc.description.references Bates, B., Kundzewicz, Z., Wu, S. & Palutikof, J. (2008). Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change. Ginebra, Suiza: Intergovernmental Panel on Climate Change (IPCC). es_ES
dc.description.references Bekchanov, M., Sood, A. & Jeuland, M. (2015). Review of Hydro-Economic Models to Address River Basin Management Problems: Structure, Applications and Research Gaps. Colombo, Sri Lanka: International Water Management Institute. es_ES
dc.description.references Bekchanov, M., Sood, A., Pinto, A. & Jeuland, M. (2017). “Systematic Review of Water-Economy Modeling Applications”. Water Resources Planning and Management, 143(8), 0401703. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000793 es_ES
dc.description.references Blanco, M., Cortignani, R. & Severini, S. (2008). “Evaluating changes in cropping patterns due to the 2003 CAP reform. An ex-post analysis of different PMP approaches considering new activities”. Comunicación presentada al 107th EAAE Seminar Modelling of Agricultural and Rural Development Policies, Sevilla. es_ES
dc.description.references Blanco-Gutiérrez, I., Varela-Ortega, C. & Purkey, D. (2013). “Integrated assessment of policy interventions for promoting sustainable irrigation in semi-arid environments: A hydro-economic modeling approach”. Journal of Environmental Management, 128, 144-160. https://doi.org/10.1016/j.jenvman.2013.04.037 es_ES
dc.description.references Brouwer, R. & Hofkes, M. (2008). “Integrated hydro-economic modelling: Approaches, key issues and future research directions”. Ecological Economics, 66(1), 16-22. https://doi.org/10.1016/j.ecolecon.2008.02.009 es_ES
dc.description.references Buytaert, W., Cuesta-Camacho, F. & Tobón, C. (2011). “Potential impacts of climate change on the environmental services of humid tropical alpine regions”. Agriculture, Ecosystems and Environment, 20(1), 19-33. https://doi.org/10.1111/j.1466-8238.2010.00585.x es_ES
dc.description.references Cai, X. (2008). “Implementation of holistic water resources-economic optimization models for river basin management–reflective experiences”. Environmental Modelling & Software, 23(1), 2-18. https://doi.org/10.1016/j.envsoft.2007.03.005 es_ES
dc.description.references Cai, X., & Wang, D. (2006). “Calibrating holistic water resources-economic models”. Journal of Water Resources Planning and Management, 132(6), 414-423. https://doi.org/10.1061/(ASCE)0733-9496(2006)132:6(414) es_ES
dc.description.references Cai, X., McKinney, D. & Rosegrant, M. (2003). “Sustainability analysis for irrigation water management in the Aral Sea region”. Agricultural Systems, 76(3), 1043-1066. https://doi.org/10.1016/S0308-521X(02)00028-8 es_ES
dc.description.references CAN. (2008). Reconversión Productiva de la Agricultura. Obtenido de: Programa Seguridad Alimentaria y Desarrollo Regional. Secretaria General de la Comunidad Andina: http://www.comunidadandina.org/StaticFiles/20116616820libro_agricultura.pdf es_ES
dc.description.references Clay, N. & Zimmerer, K. (2020). “Who is resilient in Africa’s Green Revolution? Sustainable intensification and Climate Smart Agriculture in Rwanda”. Land Use Policy, 97, 104558. https://doi.org/10.1016/j.landusepol.2020.104558 es_ES
dc.description.references Condori, E. (2016). Evaluación Hidrogeológica de la Microcuenca Mariño – Apurimac. Obtenido de: Universidad Nacional del Altiplano: https://renati.sunedu.gob.pe/handle/sunedu/3225534 es_ES
dc.description.references Cunha, M., Zeferino, J., Simões, N. & Saldarriaga, J. (2016). “Optimal location and sizing of storage units in a drainage system”. Environmental Modelling & Software, 83, 155-166. https://doi.org/10.1016/j.envsoft.2016.05.015 es_ES
dc.description.references D´Agostino, D., Scardigno, A., Lamaddalena, N. & El Chami, D. (2014). “Sensitivity Analysis of Coupled Hydro-Economic Models: Quantifying Climate Change Uncertainty for Decision-Making”. Water Resources Management, 28, 4303-4318. https://doi.org/10.1007/s11269-014-0748-2 es_ES
dc.description.references de Haan, S. (2009). Potato Diversity at Height: Multiple Dimensions of Farmer driven In-situ Conservation in the Andes. Obtenido de: Wageningen University: https://edepot.wur.nl/2715 es_ES
dc.description.references de Haan, S., Núñez, J., Bonierbale, M. & Ghislain, M. (2010). “Multilevel Agrobiodiversity and Conservation of Andean Potatoes in Central Peru”. Mountain Research and Development, 30(3), 222-231. http://dx.doi.org/10.1659/MRD-JOURNAL-D-10-00020.1 es_ES
dc.description.references Dietze, V., Hagemann, N., Jürges, N., Bartke, S. & Fürst, C. (2019). “Farmers consideration of soil ecosystem services in agricultural management - A case study from Saxony, Germany”. Land Use Policy, 81, 813-824. https://doi.org/10.1016/j.landusepol.2018.11.003 es_ES
dc.description.references Dowlatabadi, H. (1995). “Integrated assessment models of climate change: An incomplete overview”. Energy Policy, 23(4-5), 289-296. https://doi.org/10.1016/0301-4215(95)90155-Z es_ES
dc.description.references Downing, T. (2012). “Views of the frontiers in climate change adaptation economics”. WIREs Climate Change, 3(2), 161-170. https://doi.org/10.1002/wcc.157 es_ES
dc.description.references Esteban, E. & Albiac, J. (2012). “El problema de la gestión sostenible de las aguas subterráneas: el caso de los acuíferos de La Mancha, España”. Hydrogeology Journal, 20, 851-863. https://doi.org/10.1007/s10040-012-0853-3 es_ES
dc.description.references Esteban, E. & Dinar, A. (2013). “Cooperative Management of Groundwater Resources in the Presence of Environmental Externalities”. Environmental and Resource Economics, 54, 443-469. https://doi.org/10.1007/s10640-012-9602-2 es_ES
dc.description.references Esteve, P., Varela-Ortega, C., Blanco-Gutiérrez, I. & Downing, T. (2015). “A hydro-economic model for the assessment of climate change impacts and adaptation in irrigated agriculture”. Ecological Economics, 120, 49-58. https://doi.org/10.1016/j.ecolecon.2015.09.017 es_ES
dc.description.references FAO. (2000). La gestión integrada de la diversidad biológica para la alimentación y agricultura en la FAO. Obtenido de: FAO - Biodiversidad para la agricultura: http://www.fao.org/3/i0112s/i0112s.pdf es_ES
dc.description.references Field, C., Barros, V., Dokken, D.J, Mach, K. & Mastrandrea, M. (2014). Climate change 2014: Impacts, adaptation, and vulnerability. Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Reino Unido: Cambridge University Press. es_ES
dc.description.references Freeze, R., Massmann, J., Smith, L., Sperling, T. & James, B. (1990). “Hydrogeological Decision Analysis: 1. A Framework”. Groundwater, 28(5), 738-766. https://doi.org/10.1111/j.1745-6584.1990.tb01989.x es_ES
dc.description.references Garibaldi, L., Gemmill-Herren, B., D’Annolfo, R., Graeub, B., Cunningham, S. & Breeze, T. (2017). “Farming Approaches for Greater Biodiversity, Livelihoods, and Food Security”. Trends in Ecology & Evolution, 31(1), 68-80. http://dx.doi.org/10.1016/j.tree.2016.10.001 es_ES
dc.description.references Ghadimi, S. & Ketabchi, H. (2019). “Possibility of cooperative management in groundwater resources using an evolutionary hydro-economic simulation optimization model”. Journal of Hydrology, 578, 124094. https://doi.org/10.1016/j.jhydrol.2019.124094 es_ES
dc.description.references Gonzáles, J. & Velasco, R. (2008). “Evaluation of the impact of climatic change on the economic value of land in agricultural systems in Chile”. Chilean Journal of Agricultural Research, 68(1), 56-68. http://dx.doi.org/10.4067/S0718-58392008000100006 es_ES
dc.description.references GORE. (2010). Caracterización ecológica económica de la microcuenca Mariño. Memoria Estudio Zonificación Económica Ecológica Mariño. Abancay, Perú: Gobierno Regional de Apurimac. es_ES
dc.description.references Gorelick, S. & Zheng, C. (2015). “Global change and the groundwater management challenge”. Water Resources Research, 51(5), 3031-3051. https://doi.org/10.1002/2014WR016825 es_ES
dc.description.references Graveline, N., Majone, B., Van Duinen, R. & Ansink, E. (2014). “Hydro-economic modeling of water scarcity under global change: An application to the Gállego river basin (Spain)”. Regional Environmental Change, 14, 119-132. https://doi.org/10.1007/s10113-013-0472-0 es_ES
dc.description.references Haghighatafshar, S., Yamanee-Nolin, M., Klinting, A., Roldin, M., Gustafssond, L.-G., Aspegren, H. & Jönsson, K. (2019). “Hydroeconomic optimization of mesoscale blue-green stormwater systems at the city level”. Journal of Hydrology, 578, 124125. https://doi.org/10.1016/j.jhydrol.2019.124125 es_ES
dc.description.references Harou, J. & Lund, J. (2008). “Ending groundwater overdraft in hydrologic-economic systems”. Hydrogeology Journal, 16, 1039-1055. https://doi.org/10.1007/s10040-008-0300-7 es_ES
dc.description.references Harou, J., Pulido-Velazquez, M., Rosenberg, D., Medellín-Azuara, J., Lund, J. & Howitt, R. (2009). “Hydro-economic models: Concepts, design, applications, and future prospects”. Journal of Hydrology, 375(3-4), 627-643. https://doi.org/10.1016/j.jhydrol.2009.06.037 es_ES
dc.description.references Heckelei, T. (2002). Calibration and estimation of programmingmodels for agricultural supply analysis. Obtenido de: University of Bonn: http://www.ilr.uni-bonn.de/agpo/staff/heckelei/heckelei_hab.pdf es_ES
dc.description.references Heckelei, T. & Britz, W. (2005). “Models based on positive mathematical programming: State of the art and further extensions”. Comunicación presentada en la 89th European Seminar of the EAAE, Parma. es_ES
dc.description.references Henry de Frahan, B. (2019). “Towards Econometric Mathematical Programming for Policy Analysis”. En Msangi, S. & MacEwan, D. (eds): Applied Methods for Agriculture and Natural Resource Management (pp. 11-36). Cham, Suiza: Springer Nature Switzerland. es_ES
dc.description.references Howitt, R. (1995). “Positive mathematical-programming”. American Journal of Agricultural Economics, 77(2), 329-342. https://doi.org/10.2307/1243543 es_ES
dc.description.references Howitt, R., MacEwan, D., Medellín-Azuara, J. & Lund, J. (2010). Economic modeling of agriculture and water in California using the statewide agricultural production model. Obtenido de: University of California: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=58ab30a064c197c67845fb05b5371f8470598846 es_ES
dc.description.references Huang, J., Wang, W., Cui, X., Wang, D., Liu, W., Liu, X. & Wang, S. (2019). “Environmental risk-based hydroeconomic evaluation for alluvial aquifer management in arid river basin”. Science of the Total Environment, 711, 134655. https://doi.org/10.1016/j.scitotenv.2019.134655 es_ES
dc.description.references Hurd, B.H. (2015). “Concepts and methods for assessing economic impacts from climate change on water resources”. En Dinar, A. & Schwabe, K. (Eds.): Handbook of WaterEconomics (pp. 56-68). Cheltenham, Reino Unido: Edward Elgar Publishing. es_ES
dc.description.references INEI. (2018). IV Censo Nacional Agropecuario 2012. Obtenido de: Insituto Nacional de Estadística e Informática: http://censos.inei.gob.pe/cenagro/tabulados/ es_ES
dc.description.references IPCC. (2013). Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge, Reino Unido, and New York, Estados Unidos: Cambridge University Press. es_ES
dc.description.references IPCC. (2014). Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution ofworking group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge, Reino Unido, and New York, Estados Unidos: Cambridge University Press. es_ES
dc.description.references Jenkins, M., Lund, J., Howit, R., Draper, A., Msangi, S., Tanaka, S., Ritzema, R. & Marques, G. (2004). “Optimization of California’s Water Supply System: Results and Insights”. Journal of water resources planning and management, 130(4), 271-280. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:4(271) es_ES
dc.description.references Jiang, Q. & Grafton, R. (2012). “Economic effects of climate change in the Murray–Darling Basin, Australia”. Agricultural Systems, 110, 10-16. https://doi.org/10.1016/j.agsy.2012.03.009 es_ES
dc.description.references Jonkman, S., Bočkarjova, M., Kok, M. & Bernardini, P. (2008). “Integrated hydrodynamic and economic modelling of flood damage in the Netherlands”. Ecological Economics, 66(1), 77-90. https://doi.org/10.1016/j.ecolecon.2007.12.022 es_ES
dc.description.references Joyce, B., Mehta, V., Purkey, D., Dale, L. & Hanemann, M. (2011). “Modifying agricultural water management to adapt to climate change in California`s Central valley”. Climatic Change, 109, 299-316. https://doi.org/10.1007/s10584-011-0335-y es_ES
dc.description.references Kahsay, T., Arjoon, D., Kuik, O., Brouwer, R., Tilmant, A. & der Zaag, P. (2019). “A hybrid partial and general equilibrium modeling approach to assess the hydro economic impacts of large dams – The case of the Grand Ethiopian Renaissance Dam in the Eastern Nile River basin”. Environmental Modelling & Software, 117, 76-88. https://doi.org/10.1016/j.envsoft.2019.03.007 es_ES
dc.description.references Knowling, M., White, J., McDonald, G., Kim, J.-H., Moore, C. & Hemmings, B. (2020). “Disentangling environmental and economic contributions to hydro economic model output uncertainty: An example in the context of land-use change impact assessment”. Environmental Modelling and Software, 127, 104653. https://doi.org/10.1016/j.envsoft.2020.104653 es_ES
dc.description.references McKinney, D., Cai, X., Rosegrant, M., Ringler, C. & Scott, C. (1999). Modeling water resources management at the basin level: Review and future directions. SWIM Paper No. 6. Obtenido de: International Water Management Institute (IWMI): http://www.iwmi.cgiar.org/Publications/SWIM_Papers/PDFs/SWIM06.PDF es_ES
dc.description.references Medellín-Azuara, J., Howitt, R., MacEwan, D. & Lund, J. (2011). “Economic impacts of climate-related changes to California agriculture”. Climatic Change,109, 387-405. https://doi.org/10.1007/s10584-011-0314-3 es_ES
dc.description.references Meinke, H., Howden, S., Struik, P., Nelson, R., Rodriguez, D. & Chapman, S. (2009). “Adaptation science for agriculture and natural resource management—urgency and theoretical basis”. Current Opinion in Environmental Sustainability, 1(1), 69-76. https://doi.org/10.1016/j.cosust.2009.07.007 es_ES
dc.description.references Mérel, P. & Howitt, R. (2014). “Theory and Application of Positive Mathematical Programming in Agriculture and the Environment”. The Annual Review of Resource Economics, 6, 451-470. https://doi.org/10.1146/annurev resource-100913-012447 es_ES
dc.description.references MINAGRI. (2015). Estrategia Nacional de Agricultura Familiar 2015-2021”. Obtenido de: Ministerio de Agricultura y Riego: https://www.agrorural.gob.pe/wp-content/uploads/2016/02/enaf.pdf es_ES
dc.description.references MINAM. (2016). Tercera Comunicación Nacional del Perú a la Convención Marco de las Naciones Unidas sobre el Cambio Climático. Obtenido de: Ministerio del Ambiente: https://sinia.minam.gob.pe/documentos/tercera-comunicacion-nacional-peru-convencion-marco-las-naciones es_ES
dc.description.references Momeni, M., Zakeri, Z., Esfandiari, M., Behzadian, K., Zahedi, S. & Razavi, V. (2019). “Comparative analysis of agricultural water pricing between Azarbaijan Provinces in Iran and the state of California in the US: A hydro-economic approach”. Agricultural Water Management, 223, 105724. https://doi.org/10.1016/j.agwat.2019.105724 es_ES
dc.description.references Moraetis, D., Al Kindi, S.S., Al Saadi, S.K., Al Shaibani, A.A.R.A., Pavlopoulos, K., Scharf, A., Mattern, F., Harrower, M.J. & Pracejus, B. (2020). “Terrace agriculture in a mountainous arid environment – A study of soil quality and regolith provenance: Jabal Akhdar (Oman)”. Geoderma, Volume 363, 114152. https://doi.org/10.1016/j.geoderma.2019.114152 es_ES
dc.description.references Moriondo, M., Bindi, M., Zbigniew, W., Kundzewicz, S. M., Chorynski, A., Matczak, P., Radziejewski, M., McEvoy, D. & Wreford, A. (2010). “Impact and adaptation opportunities for European agriculture in response to climatic change and variability”. Mitigation Adaptation Straetegie Global Change, 15, 657-679. https://doi.org/10.1007/s11027-010-9219-0 es_ES
dc.description.references NRC. (1989). The Lost Crops of the Incas: Little-known Plants of the Andes with Promise for Worldwide Cultivation. Washington D.C, Estados Unidos: National Academy Press. es_ES
dc.description.references Ossa-Moreno, J., McIntyre, N., Ali, S., Smart, J. & Rivera, D. (2018). “The Hydro-economics of Mining”. Ecological Economics, 145, 368-379. https://doi.org/10.1016/j.ecolecon.2017.11.010 es_ES
dc.description.references ONU. (2019). Objetivos de Desarrollo Sostenible”. Obtenido de: Organización de Naciones Unidas: https://www.un.org/sustainabledevelopment/es/objetivos-de-desarrollo-sostenible/ es_ES
dc.description.references Papagiannis, F., Gazzola, P., Burak, O. & Pokutsa, I. (2018). “Overhauls in water supply systems in Ukraine: A hydro-economic model of socially responsible planning and cost management”. Journal of Cleaner Production, 183, 358-369. https://doi.org/10.1016/j.jclepro.2018.02.156 es_ES
dc.description.references Peña-Haro, S., Pulido-Velazquez, M. & Sahuquillo, A. (2009). “A hydro-economic modelling framework for optimal management of groundwater nitrate pollution from agriculture”. Journal of Hydrology, 373(1-2), 193-203. https://doi.org/10.1016/j.jhydrol.2009.04.024 es_ES
dc.description.references Ponce, R., Blanco, M. & Giupponi, C. (2014). “The economic impacts of climate change on the chilean agricultural sector: A non-linear agricultural supply model”. Chilean Journal of Agricultural Research, 74(4), 404-412. http://dx.doi.org/10.4067/S0718-58392014000400005 es_ES
dc.description.references Ponce, R., Blanco, M. & Giupponi, C. (2015). “Welfare Effects of Water Variability in Agriculture. Insights from a Multimarket Model”. Water, 7(6), 2908-2923. https://doi.org/10.3390/w7062908 es_ES
dc.description.references Ponce, R., Fernández, F., Stehr, A., Váquez-Lavín, F. & Godoy-Faúnez, A. (2017). “Distributional impacts of climate change on basin communities: An integrated modeling approach”. Regional Environmental Change, 17, 1811-1821. https://doi.org/10.1007/s10113-017-1152-2 es_ES
dc.description.references ProDesarrollo. (2012). Proyecto de Gestion Integral de la Microcuenca Mariño Abancay - Anexo 1 Estudio Hidrológico. Estudio Definitivo de los Sistemas de Riego, U.E. Obtenido de: Pro Desarrollo Apurimac: https://es.scribd.com/document/412895324/Anexo-1-Estudio-Hidrologico# es_ES
dc.description.references Pulido-Velázquez, M., Andreu, J., Sahuquillo, A. & Pulido-Velázquez, D. (2008). “Hydroeconomic river basin modelling: The application of a holistic surface groundwater model to assess opportunity costs of water use in Spain”. Ecological Economics, 66(1), 51-65. https://doi.org/10.1016/j.ecolecon.2007.12.016 es_ES
dc.description.references Ringler, C., Von Braun, J. & Rosegrant, M. (2004). “Water policy analysis for the Mekong River Basin”. Water International, 29(1), 30-42. https://doi.org/10.1080/02508060408691746 es_ES
dc.description.references Rochdane, S., Reichert, B., Messouli, M., Babqiqi, A. & Khebiza, M. (2012). “Climate change impacts on water supply and demand in RherayaWatershed (Morocco), with potential adaptation strategies”. Water, 4(1), 28-44. https://doi.org/10.3390/w4010028 es_ES
dc.description.references Roco, L., Engler, A., Bravo-Ureta, B. & Jara-Rojas, R. (2015). “Farmers’ perception of climate change in mediterranean Chile”. Regional Environmental Change, 15, 867-879. https://doi.org/10.1007/s10113-014-0669-x es_ES
dc.description.references Rolando, J., Turin, C., Ramírez, D., Mares, V., Monerris, J. & Quiroz, R. (2017). “Key ecosystem services and ecological intensification of agriculture in the tropical high-Andean Puna as affected by land-use and climate changes”. Agriculture, Ecosystems and Environment, 236, 221-233. https://doi.org/10.1016/j.agee.2016.12.010 es_ES
dc.description.references Rose, D., Sutherland, W., Barnes, A., Borthwick, F., Ffoulkes, C., Hall, C., Moorby, J., Nicholas-Davis, P., Twining, S. & Dicks, L. (2019). “Integrated farm management for sustainable agriculture: Lessons for knowledge exchange and policy”. Land Use Policy, 81, 834-842. https://doi.org/10.1016/j.landusepol.2018.11.001 es_ES
dc.description.references Spooner, D., McLean, K., Ramsay, G., Waugh, R. & Bryan, G. (2005). “A single domestication for potato based on multilocus amplified fragment length polymorphism genotyping”. Proceedings of the National Academy of Sciences, 102(41), 14694-14699. https://doi.org/10.1073/pnas.0507400102 es_ES
dc.description.references Spooner, D., Nuñez, J., Trujillo, G., Herrera, M., Guzmán, F. & Ghislain, M. (2007). “Extensive simple sequence repeat genotyping of potato landraces supports a major reevaluation of their gene pool structure and classification”. Proceedings of the National Academy of Sciences, 104(49), 19398-19403. https://doi.org/10.1073/pnas.0709796104 es_ES
dc.description.references Tahbaz, M. (2016). “Environmental Challenges in Today’s Iran”. Iranian Studies, 49(6), 943-961. https://doi.org/10.1080/00210862.2016.1241624 es_ES
dc.description.references Tang, J., Han, Z., Zhong, S., Ci, E. & Wei, C. (2019). “Changes in the profile characteristics of cultivated soils obtained from reconstructed farming plots undergoing agricultural intensification in a hilly mountainous region in southwest China with regard to anthropogenic pedogenesis”. Catena, 180, 132-145. https://doi.org/10.1016/j.catena.2019.04.020 es_ES
dc.description.references Tarolli, P. & Straffelini, E. (2020). “Agriculture in Hilly and Mountainous Landscapes: Threats, Monitoring and Sustainable Management”. Geography and Sustainability, 1(1), 70-76. https://doi.org/10.1016/j.geosus.2020.03.003 es_ES
dc.description.references Torres, M., Maneta, M., Howitt, R., Vosti, S., Wallender, W., Bassoi, L. & Rodrigues, L. (2012). “Economic impacts of regional water scarcity in the São Francisco River Basin, Brazil: An application of a linked hydro-economic model”. Environment and Development Economics, 17(2), 227-248. https://doi.org/10.1017/S1355770X11000362 es_ES
dc.description.references Tsur, Y., Roe, T., Dinar, A. & Doukkali, M. (2004). Pricing Irrigation Water: Principles and Cases from Developing Countries. Washington D.C., Estados Unidos: Resources for the Future. es_ES
dc.description.references Van Vuuren, D., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurt, G., Kram, T., Krey, V., Lamarque, J.-F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. & Rose, S. (2011). “The representative concentration pathways: An overview”. Climatic Change, 109, 5. https://doi.org/10.1007/s10584-011-0148-z es_ES
dc.description.references Varela-Ortega, C. (2007). “Policy-driven determinants of irrigation development and environmental sustainability: A case study in Spain”. En Molle, F. & Berkoff, J. (Eds.): Irrigation water pricing policy in context: exploring the gap between theory and practice (pp. 328-346). Oxfordshire, Reino Unido, Cambridge, Estados Unidos: CAB International. es_ES
dc.description.references Varela-Ortega, C., Blanco-Gutiérrez, I., Esteve, P., Bharwani, S., Fronzek, S. & Downing, T. (2014). “How can irrigated agriculture adapt to climate change? Insights from the Guadiana Basin in Spain”. Regional Environmental Change, 16, 59-70. https://doi.org/10.1007/s10113-014-0720-y es_ES
dc.description.references Varela‐Ortega, C., Blanco‐Gutiérrez, I., Swartz, H. & Downing, T. (2011). “Balancing groundwater conservation and rural livelihoods under water and climate uncertainties: A hydro-economic modeling framework”. Global Environmental Change, 21(2), 604-619. https://doi.org/10.1016/j.gloenvcha.2010.12.001 es_ES
dc.description.references Vavilov, N. (1992). Origin and Geography of Cultivated Plants.Cambridge, Reino Unido: Cambridge University Press. es_ES
dc.description.references Ventrela, D., Charfeddine , M., Moriondo, M., Rinaldi, M. & Bindi, M. (2012). “Agronomic adaptation strategies under climate change for winter durum wheat and tomato in southern Italy: Irrigation and nitrogen fertilization”. Regional Environmental Change, 12, 407-419. https://doi.org/10.1007/s10113-011-0256-3 es_ES
dc.description.references Volk, M., Hirschfeld, J., Dehnardt, A., Schmidt, G., Bohn, C., Liersch, S. & Gassman, P. (2008). “Integrated ecological-economic modelling of water pollution abatement management options in the Upper Ems river basin”. Ecological Economics, 66(1), 66-76. https://doi.org/10.1016/j.ecolecon.2008.01.016 es_ES
dc.description.references Weyant, J. (1985). “General economic equilibrium as a unifying concept in energy-economic modeling”. Management Science, 31(5), 548-563. https://www.jstor.org/stable/2631775 es_ES
dc.description.references Wheeler, T. & Von Braun, J. (2013). “Climate change impacts on global food security”. Science, 341(6145), 508-513. https://doi.org/10.1126/science.1239402 es_ES
dc.description.references Young, R. (2005). Determining the economic value of water: Concepts and methods. Washington D.C., Estados Unidos: Resources for the Future. es_ES
dc.description.references Zischg, J., Zeisl, P., Winkler, D., Rauch, W. & Sitzenfrei, R. (2018). “On the sensitivity of geospatial low impact development locations to the centralized sewer network”. Water Science & Technology, 77(7), 1851-1860. https://doi.org/10.2166/wst.2018.060 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem