دنبال کردن
Gurutzeta Guillera-Arroita
Gurutzeta Guillera-Arroita
Pyrenean Institute of Ecology (CSIC) & University of Melbourne
ایمیل تأیید شده در ipe.csic.es
عنوان
نقل شده توسط
نقل شده توسط
سال
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
17302017
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
10182015
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
7132020
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
5182019
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
5122022
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities‏
G Guillera‐Arroita‏
Ecography 40 (2), 281-295, 2017‏
4132017
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
3572020
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
3562018
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
3322020
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
2702016
Design of occupancy studies with imperfect detection‏
G Guillera‐Arroita, MS Ridout, BJT Morgan‏
Methods in Ecology and Evolution 1 (2), 131-139, 2010‏
2622010
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
2282015
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
2272014
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
2172012
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
2132019
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
2032016
Modelling species presence‐only data with random forests‏
R Valavi, J Elith, JJ Lahoz‐Monfort, G Guillera‐Arroita‏
Ecography 44 (12), 1731-1742, 2021‏
1882021
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
1852014
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مقاله‌ها 1–20