Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring R Gibb, E Browning, P Glover‐Kapfer, KE Jones Methods in Ecology and Evolution 10 (2), 169-185, 2019 | 326 | 2019 |
Data integration for large-scale models of species distributions NJB Isaac, MA Jarzyna, P Keil, LI Dambly, PH Boersch-Supan, ... Trends in ecology & evolution 35 (1), 56-67, 2020 | 199 | 2020 |
Bat detective—Deep learning tools for bat acoustic signal detection O Mac Aodha, R Gibb, KE Barlow, E Browning, M Firman, R Freeman, ... PLoS computational biology 14 (3), e1005995, 2018 | 182 | 2018 |
Passive acoustic monitoring in ecology and conservation. E Browning, R Gibb, P Glover-Kapfer, KE Jones WWF-UK, 2017 | 120 | 2017 |
Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds E Browning, M Bolton, E Owen, A Shoji, T Guilford, R Freeman Methods in Ecology and Evolution 9 (3), 681-692, 2018 | 83 | 2018 |
Drivers of European bat population change: a review reveals evidence gaps E Browning, KE Barlow, F Burns, C Hawkins, K Boughey Mammal Review 51 (3), 353-368, 2021 | 11 | 2021 |
Accounting for spatial autocorrelation and environment are important to derive robust bat population trends from citizen science data E Browning, R Freeman, KL Boughey, NJB Isaac, KE Jones Ecological Indicators 136, 108719, 2022 | 3 | 2022 |
iBats Jersey–Review C Hawkins, E Browning, K Jones Technical Report to the States of Jersey Department of the Environment …, 2016 | 2 | 2016 |
Differential effects of emerging broad-spectrum streetlight technologies on landscape-scale bat activity R Williams, C Walters, R Gibb, E Browning, D Tipping, K Jones bioRxiv, 525568, 2019 | 1 | 2019 |
Improving the understanding of bat population trends in Great Britain E Browning UCL (University College London), 2022 | | 2022 |