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Growing stock monitoring by European National Forest Inventories: historical origins, current methods and harmonisation
Gschwantner, T., Alberdi, I., Bauwens, S., Bender, S., Borota, D., Bosela, M., … Tomter, S. M. (2022). Growing stock monitoring by European National Forest Inventories: historical origins, current methods and harmonisation. Forest Ecology and Management, 505, 119868 (22 pp.). https://doi.org/10.1016/j.foreco.2021.119868
More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions
Mazziotta, A., Lundström, J., Forsell, N., Moor, H., Eggers, J., Subramanian, N., … Snäll, T. (2022). More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions. Global Change Biology, 28(21), 6333-6348. https://doi.org/10.1111/gcb.16364
How national bioeconomy strategies address governance challenges arising from forest-related trade-offs
Schulz, T., Lieberherr, E., & Zabel, A. (2022). How national bioeconomy strategies address governance challenges arising from forest-related trade-offs. Journal of Environmental Policy and Planning, 24(1), 123-136. https://doi.org/10.1080/1523908X.2021.1967731
What is Climate-Smart Forestry? A definition from a multinational collaborative process focused on mountain regions of Europe
Bowditch, E., Santopuoli, G., Binder, F., del Río, M., La Porta, N., Kluvankova, T., … Tognetti, R. (2020). What is Climate-Smart Forestry? A definition from a multinational collaborative process focused on mountain regions of Europe. Ecosystem Services, 43, 101113 (13 pp.). https://doi.org/10.1016/j.ecoser.2020.101113
A climate-sensitive forest model for assessing impacts of forest management in Europe
Härkönen, S., Neumann, M., Mues, V., Berninger, F., Bronisz, K., Cardellini, G., … Mäkelä, A. (2019). A climate-sensitive forest model for assessing impacts of forest management in Europe. Environmental Modelling and Software, 115, 128-143. https://doi.org/10.1016/j.envsoft.2019.02.009