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Integrating fire spread patterns in fire modelling at landscape scale., , , and . Environ. Model. Softw., (2016)Low-cost open-source recorders and ready-to-use machine learning approaches provide effective monitoring of threatened species., , , , and . Ecol. Informatics, (2022)Presence-absence versus presence-only modelling methods for predicting bird habitat suitability, , , and . Ecography, 27 (4): 437--448 (2004)Estimating the Severity of Defoliation Due to Pine Processionary Moth Using a Combination of Landsat and UAV Imagery., , and . IGARSS, page 3979-3982. IEEE, (2018)Model-based uncertainty in species range prediction, , , , , , , , , and . Journal of Biogeography, 33 (10): 1704--1711 (2006)Distance functions of carabids in crop fields depend on functional traits, crop type and adjacent habitat: a synthesis, , , , , , , , , and 26 other author(s). Proceedings of the Royal Society B: Biological Sciences, (January 2024)EU's Conservation Efforts Need More Strategic Investment to Meet Continental Commitments: Revisiting EU's conservation investment, , , and . Conservation Letters, 10 (2): 231--237 (March 2017)Calibrating the Severity of Forest Defoliation by Pine Processionary Moth with Landsat and UAV Imagery., , , and . Sensors, 18 (10): 3278 (2018)The REMAINS R-package: Paving the way for fire-landscape modeling and management., , , , , and . Environ. Model. Softw., (October 2023)Effects of restricting environmental range of data to project current and future species distributions, , , and . Ecography, 27 (2): 165--172 (2004)