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dc.contributor.authorVillalobos, Francisco J.
dc.contributor.authorLópez Bernal, Álvaro
dc.contributor.authorGarcía Tejera, Omar
dc.contributor.authorTesti, Luca
dc.date.accessioned2024-04-10T09:40:05Z
dc.date.available2024-04-10T09:40:05Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/10396/27857
dc.description.abstractOlive trees, alongside grapevines, dominate the Mediterranean tree crop landscape. However, as climate change intensifies, the Mediterranean region, which encompasses 95% of the global olive cultivation area, faces significant challenges. Rising carbon dioxide (CO2) levels, increasing temperatures, and declining precipitation pose substantial threats to olive tree performance. Photosynthesis, respiration, phenology, water use and ultimately yield are possibly the main factors affected. To address this future scenario, it is crucial to develop adaptation and mitigation strategies. Nevertheless, breeding programs and field management practice testing for tree crops are time-consuming endeavors. Fortunately, models can accelerate the evaluation of tailored solutions. In this review, we critically examine the current state of olive tree modeling and highlight key areas requiring improvement. Given the expected impact of climate change, prioritizing research on phenology, particularly regarding bloom and pollination, is essential. Simulations of biomass should incorporate approaches that account for the interactive effects of CO2 and temperature on photosynthesis and respiration. Furthermore, accurately simulating the influence of water stress on yield necessitates the development of models that integrate canopy behavior with root performance under conditions of water scarcity. By addressing these critical aspects, olive tree models can enhance our understanding of climate change impacts and inform sustainable agricultural practices.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherFrontierses_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceVillalobos, F. J., López-Bernal, Á., García-Tejera, O., & Testi, L. (2023). Is olive crop modelling ready to assess the impacts of global change? Frontiers In Plant Science, 14. https://doi.org/10.3389/fpls.2023.1249793es_ES
dc.subjectClimate changees_ES
dc.subjectCrop simulation modeles_ES
dc.subjectPhenological developmentes_ES
dc.subjectPhotosynthesises_ES
dc.subjectOlea europaea L.es_ES
dc.subjectWater usees_ES
dc.titleIs olive crop modelling ready to assess the impacts of global change?es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.3389/fpls.2023.1249793es_ES
dc.relation.projectIDGobierno de España. MCIN/AEI/10.13039/501100011033es_ES
dc.relation.projectIDGobierno de España. TED2021-132217A-I00es_ES
dc.relation.projectIDGobierno de España. PID2019-110575RB-I00es_ES
dc.relation.projectIDGobierno de España. CEX2019-000968-Mes_ES
dc.relation.projectIDJunta de Andalucía. POSTDOC-21-00381es_ES
dc.relation.projectIDGobierno de España. 2021/86493es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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