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Harnessing deep learning in ecology: An example predicting bark beetle outbreaks

, and . Frontiers in plant science, (2019)

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Arthropod dark taxa provide new insights into diversity responses to bark beetle infestations, , , , , , , , and . Ecological Applications, (February 2022)Do bark beetle outbreaks amplify or dampen future bark beetle disturbances in Central Europe?, , , , , and . Journal of Ecology, (September 2020)Regeneration in European beech forests after drought: the effects of microclimate, deadwood and browsing, , , , , , , , , and 2 other author(s). European Journal of Forest Research, (December 2022)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)How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models., , , , , , , , , and 3 other author(s). Environ. Model. Softw., (2020)Remote sensing of forest insect disturbances: Current state and future directions., , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)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)Forest structure following natural disturbances and early succession provides habitat for two avian flagship species, capercaillie (Tetrao urogallus) and hazel grouse (Tetrastes bonasia), , , , , , and . Biological Conservation, (2018)Ecology versus society: Impacts of bark beetle infestations on biodiversity and restorativeness in protected areas of Central Europe, , , , , , , , , and 18 other author(s). Biological Conservation, (February 2021)