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Estimation of carbon stock in young sweet chestnut forest and agroforest plantations

dc.contributor.authorLuchese, Luan
dc.contributor.authorNunes, Luís
dc.contributor.authorPatrício, Maria Sameiro
dc.contributor.authorLuchese, Luan
dc.date.accessioned2023-07-27T10:14:01Z
dc.date.available2023-07-27T10:14:01Z
dc.date.issued2023
dc.description.abstractSweet chestnut (Castanea sativa Mill.) plantations provide vital ecosystem services, including carbon removal from the atmosphere and storage in soil and vegetation. Expanding the revenue streams beyond timber or nut production by monetizing carbon storage can enhance the profitability of these areas. However, current estimates of carbon sequestration in chestnut in Portugal lack differentiation between agroforest and forest systems (coppice or high forest) and fail to account for site quality variations. Objectives: Considering that the capacity for carbon sequestration is strongly dependent on the cultural system, management and site quality, the objective of this study is to evaluate and compare the carbon storage capacity in young stands of chestnut (up to 24 years old) in forest system (high forest and coppice regime) and agroforestry, considering lower, middle and upper site qualities. The findings will contribute to understanding the carbon sequestration potential of young sweet chestnut forests and agroforestry plantations, contributing to sustainable land management. Additionally, the results can facilitate the incentive for carbon storage and diversification of income sources for chestnut owners.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES to CIMO (UIDB/00690/2020); AGRO Program, Project 267: Sustainable Management of Chestnut Forested Areas in High-Forest and Coppice Systems; Project PTDC/AGRCFL/68186/Mixed forests: Modeling, dynamics and geographical distribution of productivity and carbon storage in mixed forest ecosystems in Portugal; Project PDR2020-101-031671 GO_FTA: Afforestation of agricultural lands with+ value, financial support of FEADER and Portuguese Governmentpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLuchese, Luan; Nunes, Luís; Patrício, Maria Sameiro (2023). Estimation of carbon stock in young sweet chestnut forest and agroforest plantations. In VII International Chestnut Symposium, ISHS. Lugopt_PT
dc.identifier.urihttp://hdl.handle.net/10198/28610
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.relationPDR2020-101-031671 GO_FTApt_PT
dc.relationMountain Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEcosystem servicespt_PT
dc.subjectCarbon storagept_PT
dc.subjectForestrypt_PT
dc.subjectOrchardspt_PT
dc.subjectCarbon sequestrationpt_PT
dc.subjectCastanea sativapt_PT
dc.subjectResearch Subject Categories::FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNINGpt_PT
dc.titleEstimation of carbon stock in young sweet chestnut forest and agroforest plantationspt_PT
dc.typeconference poster
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.citation.conferencePlaceLugopt_PT
oaire.citation.titleVII International Chestnut Symposium ISHSpt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNunes
person.familyNamePatrício
person.familyNameLuchese
person.givenNameLuís
person.givenNameMaria Sameiro
person.givenNameLuan
person.identifier.ciencia-id6310-0055-C4A0
person.identifier.orcid0000-0002-8913-785X
person.identifier.orcid0000-0001-7773-8802
person.identifier.orcid0000-0002-6009-1560
person.identifier.ridG-6811-2014
person.identifier.scopus-author-id35222136600
person.identifier.scopus-author-id35222136400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationa6358916-0f73-473d-b43c-26c7de98d4e3
relation.isAuthorOfPublication01b6acf1-9bdd-46ed-a30c-059e791a31c4
relation.isAuthorOfPublication.latestForDiscoverye5a7d07d-f55c-4068-a4ec-258574539652
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