Theo dõi
Gurutzeta Guillera-Arroita
Gurutzeta Guillera-Arroita
Pyrenean Institute of Ecology (CSIC) & University of Melbourne
Email được xác minh tại ipe.csic.es
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
17212017
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
10092015
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
6882020
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, DOI: 10.1111/2041-210X.13107, 2018
6022018
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
5022019
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
4882022
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities
G Guillera‐Arroita
Ecography 40 (2), 281-295, 2017
4112017
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
3512020
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
3462018
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
3252020
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
3132014
Deep-sea diversity patterns are shaped by energy availability
SNC Woolley, DP Tittensor, PK Dunstan, G Guillera-Arroita, ...
Nature 533 (7603), 393-396, 2016
2752016
Design of occupancy studies with imperfect detection
G Guillera‐Arroita, MS Ridout, BJT Morgan
Methods in Ecology and Evolution 1 (2), 131-139, 2010
2602010
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
2292014
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
2242015
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
2142012
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
2112019
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
2042016
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
1822014
Modelling species presence‐only data with random forests
R Valavi, J Elith, JJ Lahoz‐Monfort, G Guillera‐Arroita
Ecography 44 (12), 1731-1742, 2021
1782021
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