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dc.contributor.authorRegos, Adrián
dc.contributor.authorAlcaraz Segura, Domingo 
dc.date.accessioned2022-03-02T12:43:22Z
dc.date.available2022-03-02T12:43:22Z
dc.date.issued2022-02-15
dc.identifier.citationRegos, A., Gonçalves, J., Arenas‐Castro, S., Alcaraz‐Segura, D., Guisan, A., & Honrado, J. P. (2022). Mainstreaming remotely sensed ecosystem functioning in ecological niche models. Remote Sensing in Ecology and Conservation. [https://doi.org/10.1002/rse2.255]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/73075
dc.descriptionPart of this work was funded by the EU H2020 Project 641762 ‘ECOPOTENTIAL: Improving Future Ecosystem Benefits through Earth Observations’, from which many valuable thoughts originated. A.R. was funded by the Xunta de Galicia (post‐doctoral fellowship ED481B2016/084‐0) and currently by ‘Juan de la Cierva’ fellowship program funded by the Spanish Ministry of Science and Innovation (IJC2019‐041033‐I). J.G. was funded by the Individual Scientific Employment Stimulus Program (2017) by the Portuguese Foundation for Science and Technology (FCT CEECIND/02331/2017/CP1423/CT0012). S.A‐C was funded by the PORBIOTA ‐ Portuguese e‐Infrastructure for Information and Research on Biodiversity (POCI‐01‐0145‐FEDER‐022127) project grant and is currently supported by the 'María Zambrano' program funded by the Spanish Ministry of Universities and the EU‐NextGenerationEU fund.es_ES
dc.description.abstractBiodiversity is declining globally at unprecedented rates. Ecological niche models (ENMs) are one of the most widely used toolsets to appraise global change impacts on biodiversity. Here, we identify a variety of advantages of incorporating remotely sensed ecosystem functioning attributes (EFAs) into ENMs. The development of ENMs that explicitly incorporate ecosystem functioning will allow a more holistic and integrative perspective of the habitat dynamics. The synergies between the increasingly available open-access satellite images and cloud-based platforms for planetary-scale geospatial analysis offer an unprecedented opportunity to incorporate ecosystem processes and disturbances (such as fires, insect outbreaks or droughts) that have been so far largely neglected in ecological niche characterization and modelling. The most paradigmatic example of EFAs is the application of time series of spectral vegetation indices related to primary productivity and carbon cycle. EFAs related to surface energy balance and water cycles derived from remote sensing products such as land surface temperature or soil moisture enable a fine-scale characterization of the species' niche—eventually improving the predictive performance of ENMs. All these advantages confirm that a new generation of ENMs based on such EFAs would offer great perspectives to increase our ability to monitor habitat suitability trends and population dynamics. However, despite the technical advances and increasing effort of remote sensing community to develop integrative EFAs, ENMs have yet to make full profit of the most recent developments by integrating them in ENMs. A coordinated agenda for remote sensing experts and ecological modellers will be essential over the coming years to bridge the gap between remote sensing and ecology disciplines and to take full (and timely) advantage of the fast-growing body of Earth observation data and remote sensing technologies—with special emphasis on the development and testing of new variables related to key processes driving ecosystem functioning.es_ES
dc.description.sponsorshipEU H2020 641762es_ES
dc.description.sponsorshipIndividual Scientific Employment Stimulus Programes_ES
dc.description.sponsorshipSpanish Ministry of Universitieses_ES
dc.description.sponsorshipe‐Infrastructure for Information and Research on Biodiversityes_ES
dc.description.sponsorshipFundação para a Ciência e a Tecnologiaes_ES
dc.description.sponsorshipMinisterio de Ciencia e Innovaciónes_ES
dc.description.sponsorshipFundació Catalana de Trasplantament CEECIND/02331/2017/CP1423/CT0012, POCI‐01‐0145‐FEDER‐022127es_ES
dc.description.sponsorshipXunta de Galicia ED481B2016/084‐0es_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley and Sons Inces_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectEnergy and water balancees_ES
dc.subjectHabitat dynamicses_ES
dc.subjectHabitat suitability modellinges_ES
dc.subjectHeat dynamicses_ES
dc.subjectLand surface temperaturees_ES
dc.subjectModel-assisted monitoringes_ES
dc.subjectPrimary productivityes_ES
dc.subjectRadiative balancees_ES
dc.titleMainstreaming remotely sensed ecosystem functioning in ecological niche modelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.projectIDeu-repo/grantAgreement/EC/H2020/641762es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1002/rse2.255
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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