Advancing forest inventorying and monitoring

作者：Marco Peter Ferretti, Christoph Fischer, Arthur Geßler, Catherine Helen Graham, Katrin Di Bella Meusburger, Meinrad Abegg, Peter Bebi, Ariel Bergamini, Eckehard G. Brockerhoff, Ivano L. Brunner, Christoph Bühler, Marco Conedera, Pierre Cothereau, Petra D’Odorico, Christoph Düggelin, Christian Ginzler, Alex Grendelmeier, Matthias Haeni, Frank Hagedorn, Martin Hägeli, Karin Tessa Hegetschweiler, Rolf Holderegger, Frank Krumm, Félix Gugerli, Valentin Queloz, Andreas Rigling, Anita Christina Risch, Brigitte Rohner, Christian Rosset, Daniel Scherrer, Tobias Schulz, Esther Thürig, Berthold Traub, Georg von Arx, Peter Waldner, Thomas Wohlgemuth, Niklaus E. Zimmermann, Ross T. Shackleton · 发表于：Annals of Forest Science · 年份：2024 · DOI：10.1186/s13595-023-01220-9 · 被引用次数：29 · 研究领域：Forest Ecology and Biodiversity Studies、Forest Management and Policy、Remote Sensing and LiDAR Applications

Abstract Forests are under pressure and going through rapid changes. However, current inventorying and monitoring (IM) programs are often either disjointed, too narrow in their scope and/or do not operate at fine enough temporal resolutions, which may hinder scientific understanding, the timely supply of information, fast decision making, and may result in the sub-optimal use of resources. For these reasons, there is an urgent need for Advanced Forest Inventorying and Monitoring (AIM) programs to (i) achieve expanded relevance (by augmenting data/information across ecosystem properties and trophic levels), (ii) have increased temporal resolution (by tailored data collection frequency), and (iii) make use of technological advances (by incorporating novel tools and technologies). The Advanced Inventorying and Monitoring for Swiss Forests (SwissAIM) initiative was launched in 2020 to address these needs. SwissAIM builds upon the foundation offered by the existing programs (e.g., national forest inventory, long-term forest ecosystem research, biodiversity monitoring). It aims to offer a collaborative and adaptive framework to enable integrated data collection, evaluation, interpretation, analysis, and modeling. Ideally, it will result in a more responsive system with respect to current and predicted biotic/abiotic stressors that will challenge Swiss forests. Developing such a system implies identifying the information needs of different stakeholders (e.g., science, policy, practi...