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dc.contributor.authorMarcos, Bruno
dc.contributor.authorGonçalves, João
dc.contributor.authorAlcaraz Segura, Domingo 
dc.contributor.authorCunha, Mário
dc.contributor.authorHonrado, João
dc.date.accessioned2021-04-20T10:45:09Z
dc.date.available2021-04-20T10:45:09Z
dc.date.issued2021-02-20
dc.identifier.citationMarcos, B.; Gonçalves, J.; Alcaraz-Segura, D.; Cunha, M.; Honrado, J.P. A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes. Remote Sens. 2021, 13, 780. [https://doi.org/10.3390/rs13040780]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/68018
dc.descriptionWe acknowledge the use of MODIS imagery obtained from NASA’s Land Processes Distributed Active Archive Center (LP DAAC), available free of charge. The authors would like to thank the anonymous reviewers for providing comments and suggestions that helped to improve the quality of the original manuscript.es_ES
dc.description.abstractWildfire disturbances can cause modifications in different dimensions of ecosystem functioning, i.e., the flows of matter and energy. There is an increasing need for methods to assess such changes, as functional approaches offer advantages over those focused solely on structural or compositional attributes. In this regard, remote sensing can support indicators for estimating a wide variety of effects of fire on ecosystem functioning, beyond burn severity assessment. These indicators can be described using intra-annual metrics of quantity, seasonality, and timing, called Ecosystem Functioning Attributes (EFAs). Here, we propose a satellite-based framework to evaluate the impacts, at short to medium term (i.e., from the year of fire to the second year after), of wildfires on four dimensions of ecosystem functioning: (i) primary productivity, (ii) vegetation water content, (iii) albedo, and (iv) sensible heat. We illustrated our approach by comparing inter-annual anomalies in satellite-based EFAs in the northwest of the Iberian Peninsula, from 2000 to 2018. Random Forest models were used to assess the ability of EFAs to discriminate burned vs. unburned areas and to rank the predictive importance of EFAs. Together with effect sizes, this ranking was used to select a parsimonious set of indicators for analyzing the main effects of wildfire disturbances on ecosystem functioning, for both the whole study area (i.e., regional scale), as well as for four selected burned patches with different environmental conditions (i.e., local scale). With both high accuracies (area under the receiver operating characteristic curve (AUC) > 0.98) and effect sizes (Cohen’s |d| > 0.8), we found important effects on all four dimensions, especially on primary productivity and sensible heat, with the best performance for quantity metrics. Different spatiotemporal patterns of wildfire severity across the selected burned patches for different dimensions further highlighted the importance of considering the multi-dimensional effects of wildfire disturbances on key aspects of ecosystem functioning at different timeframes, which allowed us to diagnose both abrupt and lagged effects. Finally, we discuss the applicability as well as the potential advantages of the proposed approach for more comprehensive assessments of fire severity.es_ES
dc.description.sponsorshipPortuguese national funds through FCT-Foundation for Science and Technology, I.P., under the GreenRehab project PCIF/RPG/0077/2017es_ES
dc.description.sponsorshipJunta de Andalucia P18-RT-1927es_ES
dc.description.sponsorshipEuropean Union Funds for Regional Developmentes_ES
dc.description.sponsorshipProject DETECTOR A-RNM-256-UGR18es_ES
dc.description.sponsorshipEuropean Commissiones_ES
dc.description.sponsorshipPortuguese Foundation for Science and Technology European Commissiones_ES
dc.description.sponsorshipMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT) European Commissiones_ES
dc.description.sponsorshipEuropean Social Fund, within the 2014-2020 EU Strategic Framework, through FCT SFRH/BD/99469/2014es_ES
dc.description.sponsorshipIndividual Scientific Employment Stimulus Program (2017), through FCT CEECIND/02331/2017es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectEcological disturbancees_ES
dc.subjectEcosystem functioninges_ES
dc.subjectEcosystem functioning attributes (EFAs)es_ES
dc.subjectFire severityes_ES
dc.subjectSatellite image time-serieses_ES
dc.subjectWildfirees_ES
dc.titleA Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/rs13040780
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España