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Bio-economic process-based modelling methodology for measuring and evaluating the ecosystem services provided by agroforestry systems

dc.contributor.advisorPalma, João Henrique Nunes
dc.contributor.advisorTomé, Margarida
dc.contributor.advisorGraves, Anil Robert
dc.contributor.authorCrous-Duran, Josep
dc.date.accessioned2022-06-21T09:28:55Z
dc.date.available2022-06-21T09:28:55Z
dc.date.issued2022
dc.descriptionDoutoramento em Engenharia Florestal e dos Recursos Naturais / Instituto Superior de Agronomia. Universidade de Lisboapt_PT
dc.description.abstractAgroforestry integrates woody vegetation with crop and/or animal production. This combination can benefit from ecological and economic interactions that allow better use of natural resources and improved economic performance. But despite financial support offered through policy, the implementation of new agroforestry systems has not been widespread in the European Union. This thesis aimed to develop additional scientific knowledge on the potential of agroforestry systems in terms of productivity and environmental benefits. The method consisted in improving a bio-physical process-based model (Yield-SAFE) and an integrated bio-economic model (Farm-SAFE) and using both to model four different agroforestry systems in different edaphoclimatic conditions in Europe. Four different agroforestry tree-densities were compared to no-tree and tree-only monoculture alternatives. The results showed that: 1) in terms of productivity, the inclusion of trees in agricultural land increases the overall accumulated energy but the accumulated energy per tree decreases as the tree density of trees increases; 2) agroforestry options present a greater capacity of reducing soil erosion, nitrate leaching and increases the carbon sequestration; 3) agroforestry systems can act as more sustainable methods of food production and 4) options without trees are more interesting financially but these option are also the most polluting. And even though the consideration of a monetary valuation of the environmental services offered, agroforestry options would just become more interesting if there is a change on how public financial help is allocated to the sector. The findings of this work reflect what has been previously seen in scientific literature, particularly in terms of the capacity of agroforestry systems to be more productive than monoculture systems, whilst at the same time providing environmental benefits. However, relatively low profitability means that they still fail to attract farmers, the main agents of agroforestry uptake and currently, arable and forestry tend to receive higher subsidies making these land uses more attractive to farmers but considering environmental benefits would make agroforestry a more interesting optionpt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationDuran, J.C. - Bio-economic process-based modelling methodology for measuring and evaluating the ecosystem services provided by agroforestry systems. Lisboa: ISA, 2022, 231 p.pt_PT
dc.identifier.tid101668708
dc.identifier.urihttp://hdl.handle.net/10400.5/24596
dc.language.isoengpt_PT
dc.publisherISA/ULpt_PT
dc.relationEU FP7 GA No. 613520pt_PT
dc.relationH2020-MSCA-RISE-2015 GA No. 691149pt_PT
dc.relationCOST FP1203-MoUpt_PT
dc.relationForest Research Centre
dc.relationForest Research Centre
dc.subjectYield-SAFEpt_PT
dc.subjecttree densitypt_PT
dc.subjectCarbon Balance Methodpt_PT
dc.subjectSustainable Intensificationpt_PT
dc.titleBio-economic process-based modelling methodology for measuring and evaluating the ecosystem services provided by agroforestry systemspt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
oaire.awardTitleForest Research Centre
oaire.awardTitleForest Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FAGR%2F00239%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
relation.isProjectOfPublication6a9ac754-44c8-4fda-854c-879148c1ac4e
relation.isProjectOfPublication56bd0ae9-f8da-4344-b9a2-f633d4f68b89
relation.isProjectOfPublication.latestForDiscovery6a9ac754-44c8-4fda-854c-879148c1ac4e

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