| Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure DR Roberts, V Bahn, S Ciuti, MS Boyce, J Elith, G Guillera‐Arroita, ... Ecography 40 (8), 913-929, 2017 | 653 | 2017 |
| Is my species distribution model fit for purpose? Matching data and models to applications G Guillera‐Arroita, JJ Lahoz‐Monfort, J Elith, A Gordon, H Kujala, ... Global Ecology and Biogeography 24 (3), 276-292, 2015 | 596 | 2015 |
| Imperfect detection impacts the performance of species distribution models JJ Lahoz‐Monfort, G Guillera‐Arroita, BA Wintle Global ecology and biogeography 23 (4), 504-515, 2014 | 240 | 2014 |
| Deep-sea diversity patterns are shaped by energy availability SNC Woolley, DP Tittensor, PK Dunstan, G Guillera-Arroita, ... Nature 533 (7603), 393-396, 2016 | 164 | 2016 |
| Ignoring imperfect detection in biological surveys is dangerous: A response to ‘fitting and interpreting occupancy models' G Guillera-Arroita, JJ Lahoz-Monfort, DI MacKenzie, BA Wintle, ... PloS one 9 (7), e99571, 2014 | 164 | 2014 |
| Designing studies to detect differences in species occupancy: power analysis under imperfect detection G Guillera‐Arroita, JJ Lahoz‐Monfort Methods in Ecology and Evolution 3 (5), 860-869, 2012 | 159 | 2012 |
| blockCV: an R package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models R Valavi, J Elith, JJ Lahoz-Monfort, G Guillera-Arroita bioRxiv, 357798, 2018 | 152 | 2018 |
| Statistical approaches to account for false‐positive errors in environmental DNA samples JJ Lahoz‐Monfort, G Guillera‐Arroita, R Tingley Molecular Ecology Resources 16 (3), 673-685, 2016 | 145 | 2016 |
| When do we need more data? A primer on calculating the value of information for applied ecologists S Canessa, G Guillera‐Arroita, JJ Lahoz‐Monfort, DM Southwell, ... Methods in Ecology and Evolution 6 (10), 1219-1228, 2015 | 138 | 2015 |
| A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD T Hao, J Elith, G Guillera‐Arroita, JJ Lahoz‐Monfort Diversity and Distributions 25 (5), 839-852, 2019 | 137 | 2019 |
| A standard protocol for reporting species distribution models D Zurell, J Franklin, C König, PJ Bouchet, CF Dormann, J Elith, G Fandos, ... Ecography 43 (9), 1261-1277, 2020 | 132 | 2020 |
| Model averaging in ecology: A review of Bayesian, information‐theoretic, and tactical approaches for predictive inference CF Dormann, JM Calabrese, G Guillera‐Arroita, E Matechou, V Bahn, ... Ecological Monographs 88 (4), 485-504, 2018 | 126 | 2018 |
| Analysing and mapping species range dynamics using occupancy models M Kéry, G Guillera‐Arroita, JJ Lahoz‐Monfort Journal of Biogeography 40 (8), 1463-1474, 2013 | 120 | 2013 |
| Maxent is not a presence–absence method: a comment on Thibaud et al. G Guillera‐Arroita, JJ Lahoz‐Monfort, J Elith Methods in Ecology and Evolution 5 (11), 1192-1197, 2014 | 99 | 2014 |
| 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 | 93 | 2020 |
| Dealing with false‐positive and false‐negative errors about species occurrence at multiple levels G Guillera‐Arroita, JJ Lahoz‐Monfort, AR van Rooyen, AR Weeks, ... Methods in Ecology and Evolution 8 (9), 1081-1091, 2017 | 78 | 2017 |
| Forecasting species range dynamics with process‐explicit models: matching methods to applications NJ Briscoe, J Elith, R Salguero‐Gómez, JJ Lahoz‐Monfort, JS Camac, ... Ecology Letters 22 (11), 1940-1956, 2019 | 74 | 2019 |
| Evaluating 318 continental‐scale species distribution models over a 60‐year prediction horizon: what factors influence the reliability of predictions? A Morán‐Ordóñez, JJ Lahoz‐Monfort, J Elith, BA Wintle Global Ecology and Biogeography 26 (3), 371-384, 2017 | 72 | 2017 |
| Population status of a cryptic top predator: an island-wide assessment of tigers in Sumatran rainforests HT Wibisono, M Linkie, G Guillera-Arroita, JA Smith, W Pusparini, ... PLoS One 6 (11), e25931, 2011 | 71 | 2011 |
| Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models T Hao, J Elith, JJ Lahoz‐Monfort, G Guillera‐Arroita Ecography 43 (4), 549-558, 2020 | 66 | 2020 |
Gurutzeta Guillera-ArroitaUniversity of MelbourneAdresse e-mail validée de unimelb.edu.au
