Climate change (IPCC 2023), habitat loss and fragmentation (Newbold et al. 2015), and biological invasions (IPBES 2023) are profoundly transforming ecosystems, thereby increasing extinction risk and forcing species to move beyond their current ranges (Urban 2015; Newbold 2018). The necessity to anticipate future patterns of biodiversity has led to the advancement of quantitative methods for examining species distributions and their underlying drivers. These methods are fundamentally rooted in the concept of the “ecological niche.”
Da Re, D.; Bazzichetto, M.; Tordoni, E. (2026). Sampling ecologically meaningful pseudo-absences with the USE R package. In: R Coding for Ecology (editor(s) Rocchini, D.): Springer. (USE R!): 123-142. ISBN: 9783031996641 doi: 10.1007/978-3-031-99665-8_5. handle: https://hdl.handle.net/10449/94195
Sampling ecologically meaningful pseudo-absences with the USE R package
Da Re, D.
Primo
;
2026-01-01
Abstract
Climate change (IPCC 2023), habitat loss and fragmentation (Newbold et al. 2015), and biological invasions (IPBES 2023) are profoundly transforming ecosystems, thereby increasing extinction risk and forcing species to move beyond their current ranges (Urban 2015; Newbold 2018). The necessity to anticipate future patterns of biodiversity has led to the advancement of quantitative methods for examining species distributions and their underlying drivers. These methods are fundamentally rooted in the concept of the “ecological niche.”
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