Marshall, John
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences
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 in this new of forest
Keywords
climate change; early warning signals; ecosystem regime shifts; wireless sensor network; Internet of Things; citizen science; green technologies
Published in
Canadian Journal of Forest Research
2021, volume: 51, number: 12, pages: 1751-1765
Publisher: CANADIAN SCIENCE PUBLISHING
SLU Authors
Global goals (SDG)
SDG13 Climate action
SDG15 Life on land
UKÄ Subject classification
Forest Science
Publication identifier
- DOI: https://doi.org/10.1139/cjfr-2020-0295
Permanent link to this page (URI)
https://res.slu.se/id/publ/115348