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

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Torresan , C , Benito Garzón , M , O’Grady , M , Robson , T M , Picchi , G , Panzacchi , P , Tomelleri , E , Smith , M , Marshall , J , Wingate , L , Tognetti , R , Rustad , L E & Kneeshaw , D 2021 , ' A new generation of sensors and monitoring tools to support climate-smart forestry practices ' , Canadian Journal of Forest Research , vol. 51 , no. 12 , pp. 1751-1765 . https://doi.org/10.1139/cjfr-2020-0295

Title: A new generation of sensors and monitoring tools to support climate-smart forestry practices
Author: Torresan, Chiara; Benito Garzón, Marta; O’Grady, Michael; Robson, Thomas Matthew; Picchi, Gianni; Panzacchi, Pietro; Tomelleri, Enrico; Smith, Melanie; Marshall, John; Wingate, Lisa; Tognetti, Roberto; Rustad, Lindsey E.; Kneeshaw, Dan
Contributor organization: Canopy Spectral Ecology and Ecophysiology
Viikki Plant Science Centre (ViPS)
Organismal and Evolutionary Biology Research Programme
Faculty of Biological and Environmental Sciences
Date: 2021-12
Language: eng
Number of pages: 15
Belongs to series: Canadian Journal of Forest Research
ISSN: 0045-5067
DOI: https://doi.org/10.1139/cjfr-2020-0295
URI: http://hdl.handle.net/10138/338306
Abstract: Climate-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.
Subject: 1172 Environmental sciences
4112 Forestry
climate change
early warning signals
ecosystem regime shifts
wireless sensor network
Internet of Things
citizen science
green technologies
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion

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