Finding the balance between open access to forest data while safeguarding the integrity of National Forest Inventory‐derived information

作者：Arthur Geßler, Marcus Schaub, Arun K. Bose, Volodymyr Trotsiuk, Rubén Valbuena, Gherardo Chirici, Nina Buchmann · 发表于：New Phytologist · 年份：2024 · DOI：10.1111/nph.19466 · 被引用次数：16 · 研究领域：Remote Sensing and LiDAR Applications、Forest Ecology and Biodiversity Studies、Forest Management and Policy

Climate Change is strongly jeopardizing the functioning of forest ecosystems and the services they provide for society. To understand the future trajectories of forest ecosystems, we have to assess the past and current state of our forests, and only with large long-term forest monitoring programs such as ICP Forests (George et al., 2022) and especially the National Forest Inventory (NFI) networks (Bontemps et al., 2022; Yu et al., 2022), this can be achieved. In addition, CO2 flux measurement networks such as the Integrated Carbon Observation System Research Infrastructure (ICOS, Heiskanen et al., 2022) and remote sensing technologies (Senf & Seidl, 2021) have advanced and provide highly complementary information on the response of forests to climate and climate extremes as well as on the health status and the impact of disturbances on forests. It is increasingly acknowledged that only the integration of ground-based inventories such as the NFI networks with remote sensing products provides the direly needed data to nowcast impacts of extreme events, to estimate areas at risk under future climate change and to monitor climate smart forest management practices. In a recent article, Päivinen et al. (2023) point to an important issue arising in such integration efforts. They argue that revealing the exact locations of permanent – regularly visited – inventory plots, which is important for matching ground-based with remotely sensed information, would compromise the randomness and...