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Georeferenced soil database for running country-level forest growth simulation using the 3-PG process-based model

2024-07Documento de conferência Acesso aberto
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dc.contributor.authorNunes, Jorge
dc.contributor.authorMagalhães, Jean
dc.contributor.authorBarreiro, Susana
dc.contributor.authorTomé, Margarida
dc.date.accessioned2024-11-27T14:27:27Z
dc.date.available2024-11-27T14:27:27Z
dc.date.issued2024-07
dc.descriptionPosterpt_PT
dc.description.abstractIn the current scenario of climate change, forest management faces new challenges, which has led to an increased interest in physiologically based forest growth models. One of the simplest and most versatile models, which has been used with different objectives namely to assessing the impact of climate change on forest stands, is the 3-PG (Physiological Principles in Predicting Growth). This physiologically based model has been widely used and tested to predict the primary productivity of forest stands around the world. In this model, soil fertility is assigned through a fertility index, the so-called FR (fertility rating), that varies between 0 and 1. Another fundamental variable for site characterization is the maximum value of water available in the soil (MaxASW). The objective of this work was to create a database for public use, which indicates the values of FR and MaxASW for different geographical situations in Portugal. For this purpose, photopoints from the National Forest Inventory were layered with soil information from SNISolo and EPIC WebGIS Portugal. The FR and MaxASW were estimated for each pedological unit based on the descriptions and analytical data of the different soil profiles contained in the soil cartography descriptive memories allowing to assign each photopoint one or more FR and/or MaxASW values, depending on the characteristics of the corresponding pedological unit. Preliminary tests based on the comparision of observed data with results of 3PG simulations showed the reliability of the information provided for FR and MaxASW. The database is still under testing and the work will keep ongoing in order to tackle the lack of properly validated cartography for the coastal center part of the country and revise the FR and MaxASW estimates whenever georeferenced pedological information becomes available.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationNunes, J., Magalhães, J., Barreiro S. Tomé M. Georeferenced soil database for running country-level forest growth simulation using the 3-PG process-based model. Poster. Encontro Anual das Ciências do Solo '24. Porto 3-5 Julho 2024pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/95700
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subject3-PGpt_PT
dc.subjectfertility ratingpt_PT
dc.subjectMaxASWpt_PT
dc.subjectsoil databasept_PT
dc.subjectforest simulationpt_PT
dc.titleGeoreferenced soil database for running country-level forest growth simulation using the 3-PG process-based modelpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePorto 3-5 Julho 2024pt_PT
oaire.citation.titleEncontro Anual das Ciências do Solo '24pt_PT
person.familyNameFirmino Nunes
person.familyNameBarreiro
person.familyNameBranco de Brito Tavares Tomé
person.givenNameJorge Luís
person.givenNameSusana
person.givenNameMaria Margarida
person.identifierI-5673-2012
person.identifierF-5776-2010
person.identifier.ciencia-id2A1C-A9F0-D6FB
person.identifier.ciencia-id6B15-6DDB-23B1
person.identifier.ciencia-idA814-5B5A-D2C5
person.identifier.orcid0000-0002-1340-6080
person.identifier.orcid0000-0003-0174-854X
person.identifier.orcid0000-0002-6242-8593
person.identifier.scopus-author-id146 2598 1200
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9e4dedb7-1216-45d0-af5a-b12f894b62ab
relation.isAuthorOfPublication2ec50930-1277-4ce0-8016-26e7ae6298ad
relation.isAuthorOfPublication52db9846-1afa-4459-b2ee-cfe7b00a557e
relation.isAuthorOfPublication.latestForDiscovery9e4dedb7-1216-45d0-af5a-b12f894b62ab

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