| 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 | 1580 | 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 | 956 | 2015 |
| 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 | 589 | 2020 |
| 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 Methods in Ecology and Evolution 10, 225–232, 2019 | 541 | 2019 |
| 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 | 448 | 2019 |
| Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code R Valavi, G Guillera‐Arroita, JJ Lahoz‐Monfort, J Elith Ecological monographs 92 (1), e01486, 2022 | 397 | 2022 |
| 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 | 321 | 2018 |
| 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 | 320 | 2020 |
| 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 | 305 | 2014 |
| 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 | 289 | 2020 |
| Deep-sea diversity patterns are shaped by energy availability SNC Woolley, DP Tittensor, PK Dunstan, G Guillera-Arroita, ... Nature 533 (7603), 393-396, 2016 | 262 | 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 | 221 | 2014 |
| 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 | 212 | 2015 |
| 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 | 205 | 2012 |
| 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 | 199 | 2016 |
| 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 | 189 | 2019 |
| 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 | 170 | 2014 |
| 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 | 161 | 2013 |
| Animal movements in fire‐prone landscapes DG Nimmo, S Avitabile, SC Banks, R Bliege Bird, K Callister, MF Clarke, ... Biological Reviews 94 (3), 981-998, 2019 | 151 | 2019 |
| Modelling species presence‐only data with random forests R Valavi, J Elith, JJ Lahoz‐Monfort, G Guillera‐Arroita Ecography 44 (12), 1731-1742, 2021 | 148 | 2021 |
Gurutzeta Guillera-ArroitaPyrenean Institute of Ecology (CSIC) & University of MelbourneVerified email at ipe.csic.es
