TY - JOUR
T1 - A new generation of sensors and monitoring tools to support climate-smart forestry practices
AU - Torresan, Chiara
AU - Garzón, Marta Benito
AU - O’grady, Michael
AU - Robson, Thomas Matthew
AU - Picchi, Gianni
AU - Panzacchi, Pietro
AU - Tomelleri, Enrico
AU - Smith, Melanie
AU - Marshall, John
AU - Wingate, Lisa
AU - Tognetti, Roberto
AU - Rustad, Lindsey E.
AU - Kneeshaw, Dan
N1 - Funding Information:
This study was generated from the COST (European Cooperation in Science and Technology) Action CLIMO (Climate-Smart Forestry in Mountain Regions — CA15226) and financially supported by the EU Framework Programme for Research and Innovation HORIZON 2020 and the Progetto bilaterale di Grande Rilevanza Italy–Sweden “Natural hazards in future forests: how to inform climate change adaptation” (R.T. and J.D.M.). J.D.M. was also supported by the KA Wallenberg Foundation (KAW No. 2015.0047) and the Swedish portion (Vetenskapsrådet 2018–00916) of the bilateral project between Italy and Sweden. Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favouring by the United States Government. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government and shall not be used for advertising or product endorsement purposes.
Publisher Copyright:
© Canadian Science Publishing. All rights reserved.
PY - 2021/3/16
Y1 - 2021/3/16
N2 - 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.
AB - 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.
KW - Citizen science
KW - Climate change
KW - Early warning signals
KW - Ecosystem regime shifts
KW - Green technologies
KW - Internet of Things
KW - Wireless sensor network
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U2 - 10.1139/cjfr-2020-0295
DO - 10.1139/cjfr-2020-0295
M3 - Review article
AN - SCOPUS:85121119502
SN - 0045-5067
VL - 51
SP - 1751
EP - 1765
JO - Canadian Journal of Forest Research
JF - Canadian Journal of Forest Research
IS - 12
ER -