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An Outlook for Deep Learning in Ecosystem Science, , , and . Ecosystems, 25 (8): 1700--1718 (December 2022)From mycelia to mastodons - A general approach for simulating biotic disturbances in forest ecosystems., , and . Environ. Model. Softw., (2021)Applying a deep learning-based approach for scaling vegetation dynamics to predict changing forest regimes under future climate and fire scenarios., and . GI-Jahrestagung, volume P-307 of LNI, page 1019-1028. GI, (2020)Comparing simulations of three conceptually different forest models with National Forest Inventory data., , , , , , , , , and . Environ. Model. Softw., (2013)Do bark beetle outbreaks amplify or dampen future bark beetle disturbances in Central Europe?, , , , , and . Journal of Ecology, (September 2020)The contribution of insects to global forest deadwood decomposition, , , , , , , , , and 63 other author(s). Nature, 597 (7874): 77--81 (September 2021)Harnessing deep learning in ecology: An example predicting bark beetle outbreaks, and . Frontiers in plant science, (2019)Simulating wind disturbance impacts on forest landscapes: Tree-level heterogeneity matters., , and . Environ. Model. Softw., (2014)Do bark beetle outbreaks amplify or dampen future bark beetle disturbances in Central Europe?, , , , , and . Journal of Ecology, 109 (2): 737--749 (October 2021)