2018
DOI: 10.1007/s10531-018-1545-7
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Ignoring seasonal changes in the ecological niche of non-migratory species may lead to biases in potential distribution models: lessons from bats

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Cited by 74 publications
(58 citation statements)
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“…To better understand shifts in habitat preferences throughout the year, we divided occurrence records by season to generate seasonally dynamic SDMs (Hayes, Cryan, et al, ; Smeraldo et al, ). We divided records based on the month of the occurrence record.…”
Section: Methodsmentioning
confidence: 99%
“…To better understand shifts in habitat preferences throughout the year, we divided occurrence records by season to generate seasonally dynamic SDMs (Hayes, Cryan, et al, ; Smeraldo et al, ). We divided records based on the month of the occurrence record.…”
Section: Methodsmentioning
confidence: 99%
“…Providing the temporal range covered by the environmental variables (B4) is important for two reasons 67,68 . First, shorter temporal ranges can capture finer variation of environments (for example, extremes of daily temperature 69 ), whereas longer temporal ranges capture longer-term trends in environmental conditions (for example, temperature seasonality).…”
Section: Environmental Data (B)mentioning
confidence: 99%
“…However, in reality species' geographic distributions are not fixed, but rather are dynamic, and environments can also change over time. Therefore, the temporal dimension is crucial in modelling niches accurately 67,68,70 and affects reproducibility. The temporal dimension of climate data was overlooked in 58% of climate research papers reviewed by Morueta-Holme et al 29 .…”
Section: Models Can Be Projected In Both Space and Timementioning
confidence: 99%
“…ENM was conducted with the 'biomod2' package [43] in R [44] using four modeling algorithms (e.g., [45][46][47]). Distributions were reconstructed using mean climatological data for a period spanning 1960-1990, with all variables used at 1-km resolution.…”
Section: The Current State Of Knowledge About Subterranean Termite DImentioning
confidence: 99%