HIGHLIGHTS
SUMMARY
Status assessments consider a species` persistence on the landscape under plausible scenarios for future conditions related to their known stressors (e_g, in the case of bats, impacts of climate change, energy development, forest management, and disease; Frick et_al, 2020; Hoyt et_al, 2021). Ideally, spatially extensive and longitudinal datasets are collated to fuel statistical models for estimating with uncertainty whether populations are increasing, decreasing, or stable over time under hypothetical scenarios (Cheng et_al, 2021; Erickson et_al, 2014). Recordings are processed using proprietary classification software or open-source machine-learning algorithms to assign or label an . . .
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