Future directions in conservation research on petrels and shearwaters A Rodriguez, JM Arcos, V Bretagnolle, MP Dias, ND Holmes, M Louzao, ... Frontiers in Marine Science 6, 94, 2019 | 149 | 2019 |
Mapping application for penguin populations and projected dynamics (MAPPPD): data and tools for dynamic management and decision support GRW Humphries, R Naveen, M Schwaller, C Che-Castaldo, P McDowall, ... Polar Record 53 (2), 160-166, 2017 | 92 | 2017 |
Machine learning for ecology and sustainable natural resource management GRW Humphries, DR Magness, F Huettmann Springer, 2018 | 86 | 2018 |
Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform F Huettmann, Y Artukhin, O Gilg, G Humphries Marine Biodiversity 41, 141-179, 2011 | 66 | 2011 |
Aerial-trained deep learning networks for surveying cetaceans from satellite imagery A Borowicz, H Le, G Humphries, G Nehls, C Höschle, V Kosarev, ... PloS one 14 (10), e0212532, 2019 | 63 | 2019 |
Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise C Che-Castaldo, S Jenouvrier, C Youngflesh, KT Shoemaker, ... Nature communications 8 (1), 832, 2017 | 61 | 2017 |
Putting models to a good use: a rapid assessment of Arctic seabird biodiversity indicates potential conflicts with shipping lanes and human activity GRW Humphries, F Huettmann Diversity and Distributions 20 (4), 478-490, 2014 | 47 | 2014 |
Seasonal observations and machine-learning-based spatial model predictions for the common raven (Corvus corax) in the urban, sub-arctic environment of … AP Baltensperger, TC Mullet, MS Schmid, GRW Humphries, L Kövér, ... Polar Biology 36, 1587-1599, 2013 | 45 | 2013 |
Pan‐Arctic simulation of coupled nutrient‐sulfur cycling due to sea ice biology: Preliminary results S Elliott, C Deal, G Humphries, E Hunke, N Jeffery, M Jin, M Levasseur, ... Journal of Geophysical Research: Biogeosciences 117 (G1), 2012 | 31 | 2012 |
The potential of satellite imagery for surveying whales C Höschle, HC Cubaynes, PJ Clarke, G Humphries, A Borowicz Sensors 21 (3), 963, 2021 | 30 | 2021 |
Spatial predictions of sea surface dimethylsulfide concentrations in the high arctic GRW Humphries, CJ Deal, S Elliott, F Huettmann Biogeochemistry 110, 287-301, 2012 | 20 | 2012 |
Fortune telling seabirds: sooty shearwaters (Puffinus griseus) predict shifts in Pacific climate GRW Humphries, H Möller Marine Biology 164 (6), 150, 2017 | 19 | 2017 |
Predicting the future is hard and other lessons from a population time series data science competition GRW Humphries, C Che-Castaldo, PJ Bull, G Lipstein, A Ravia, B Carrión, ... Ecological informatics 48, 1-11, 2018 | 17 | 2018 |
The age of the Twitter conference S Avery-Gomm, S Hammer, G Humphries Science 352 (6292), 1404-1405, 2016 | 17 | 2016 |
Species distribution modeling of storm-petrels (Oceanodroma furcata and O. leucorhoa) in the North Pacific and the role of dimethyl sulfide GRW Humphries, F Huettmann, GA Nevitt, C Deal, D Atkinson Polar Biology 35, 1669-1680, 2012 | 17 | 2012 |
Seabirds as early warning indicators of climate events in the Pacific GRW Humphries, E Velarde, DW Anderson, B Haase, WJ Sydeman PICES Press 23 (1), 18, 2015 | 16 | 2015 |
Use of machine learning (ML) for predicting and analyzing ecological and ‘presence only’data: an overview of applications and a good outlook F Huettmann, EH Craig, KA Herrick, AP Baltensperger, GRW Humphries, ... Machine learning for ecology and sustainable natural resource management, 27-61, 2018 | 14 | 2018 |
Major hotspots detected along the Scotia Ridge in autumn for southern right whales Eubalaena australis, Antarctic fur seals Arctocephalus gazella and Antarctic prions … R Joiris, RW Humphries, C Beudels-Jamar 极地科学进展: 英文版 26 (4), 282-291, 2015 | 11 | 2015 |
Seabirds encountered along return transects between South Africa and Antarctica in summer in relation to hydrological features CR Joiris, GRW Humphries, A De Broyer Polar Biology 36, 1633-1647, 2013 | 11 | 2013 |
Predicting the range and distribution of terrestrial vertebrate species in Alaska T Gotthardt, S Pyare, F Huettmann, K Walton, M Spathelf, K Nesvacil, ... University of Alaska: The Alaska Gap Analysis Project, 1-40, 2013 | 9 | 2013 |