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A new generation of sensors and monitoring tools to support climate-smart forestry practices

hal.structure.identifierNational Research Council of Italy | Consiglio Nazionale delle Ricerche [CNR]
dc.contributor.authorTORRESAN, Chiara
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorBENITO-GARZÓN, Marta
hal.structure.identifierUniversity College Dublin [Dublin] [UCD]
dc.contributor.authorO’GRADY, Michael
hal.structure.identifierOrganismal and Evolutionary Biology [Helsinki]
dc.contributor.authorROBSON, Thomas Matthew
hal.structure.identifierNational Research Council of Italy | Consiglio Nazionale delle Ricerche [CNR]
dc.contributor.authorPICCHI, Gianni
hal.structure.identifierFree University of Bozen-Bolzano
dc.contributor.authorPANZACCHI, Pietro
hal.structure.identifierFree University of Bozen-Bolzano
dc.contributor.authorTOMELLERI, Enrico
hal.structure.identifierUniversity of the Highlands and Islands [UHI]
dc.contributor.authorSMITH, Melanie
hal.structure.identifierSwedish University of Agricultural Sciences = Sveriges lantbruksuniversitet [SLU]
dc.contributor.authorMARSHALL, John
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWINGATE, Lisa
hal.structure.identifierUniversità degli Studi del Molise = University of Molise [UNIMOL]
dc.contributor.authorTOGNETTI, Roberto
hal.structure.identifierUnited States Department of Agriculture [USDA]
dc.contributor.authorRUSTAD, Lindsey
hal.structure.identifierUniversité du Québec à Montréal = University of Québec in Montréal [UQAM]
dc.contributor.authorKNEESHAW, Dan
dc.date.issued2021
dc.identifier.issn0045-5067
dc.description.abstractEnClimate-smart forestry (CSF) is an emerging branch of sustainable adaptive forest management aimed at enhancing the potential of forests to adapt to and mitigate climate change. It relies on much higher data requirements than traditional forestry. These data requirements can be met by new devices that support continuous, in situ monitoring of forest conditions in real time. We propose a comprehensive network of sensors, i.e., a wireless sensor network (WSN), that can be part of a worldwide network of interconnected uniquely addressable objects, an Internet of Things (IoT), which can make data available in near real time to multiple stakeholders, including scientists, foresters, and forest managers, and may partially motivate citizens to participate in big data collection. The use of in situ sources of monitoring data as ground-truthed training data for remotely sensed data can boost forest monitoring by increasing the spatial and temporal scales of the monitoring, leading to a better understanding of forest processes and potential threats. Here, some of the key developments and applications of these sensors are outlined, together with guidelines for data management. Examples are given of their deployment to detect early warning signals (EWS) of ecosystem regime shifts in terms of forest productivity, health, and biodiversity. Analysis of the strategic use of these tools highlights the opportunities for engaging citizens and forest managers in this new generation of forest monitoring.
dc.language.isoen
dc.publisherNRC Research Press
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enclimate change
dc.subject.enearly warning signals
dc.subject.enecosystem regime shifts
dc.subject.enwireless sensor network
dc.subject.enInternet of Things
dc.subject.encitizen science
dc.subject.engreen technologies
dc.title.enA new generation of sensors and monitoring tools to support climate-smart forestry practices
dc.typeArticle de revue
dc.identifier.doi10.1139/cjfr-2020-0295
dc.subject.halSciences de l'environnement
bordeaux.journalCanadian Journal of Forest Research
bordeaux.page1751 - 1765
bordeaux.volume51
bordeaux.issue12
bordeaux.peerReviewedoui
hal.identifierhal-03511683
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03511683v1
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