Gurutzeta Guillera-Arroita

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Soavtorji

José Lahoz-MonfortPyrenean Institute of Ecology, CSICPreverjeni e-poštni naslov na ipe.csic.es
Jane ElithProfessor, University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
brendan wintleProfessor of Biodiversity Conservation, University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Michael McCarthySchool of Agriculture, Food and Ecosystem Sciences, The University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Reid TingleyEnviroDNAPreverjeni e-poštni naslov na monash.edu
David WartonProfessor of Ecological Statistics, The University of New South WalesPreverjeni e-poštni naslov na maths.unsw.edu.au
Carsten F. DormannProfessor for Biometry and Environmental System Analysis, University of FreiburgPreverjeni e-poštni naslov na biom.uni-freiburg.de
B.J.T.MorganProfessor of Applied Statistics, University of KentPreverjeni e-poštni naslov na kent.ac.uk
Natalie J BriscoeUniversity of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
iadine ChadèsProfessor Monash UniversityPreverjeni e-poštni naslov na monash.edu
Darryl I. MacKenzieProteus Wildlife Research ConsultantsPreverjeni e-poštni naslov na proteus.co.nz
Emily NicholsonThe University of Melbourne, School of Agriculture, Food and Ecosystem SciencesPreverjeni e-poštni naslov na unimelb.edu.au
Pia LentiniArthur Rylah Institute for Environmental ResearchPreverjeni e-poštni naslov na delwp.vic.gov.au
Heini KujalaUniversity of HelsinkiPreverjeni e-poštni naslov na unimelb.edu.au
Ascelin GordonRMIT UniversityPreverjeni e-poštni naslov na rmit.edu.au
Sarah J ConverseUSGS, Washington Cooperative Fish and Wildlife Research Unit, University of WashingtonPreverjeni e-poštni naslov na uw.edu
Stefano CanessaUniversität Bern - University of MilanPreverjeni e-poštni naslov na unibe.ch
Richard P. YoungDirector, Nature PositivePreverjeni e-poštni naslov na naturepositive.com
E.J. Milner-GullandTasso Leventis Professor of Biodiversity, University of OxfordPreverjeni e-poštni naslov na biology.ox.ac.uk
Cindy E HauserArthur Rylah InstitutePreverjeni e-poštni naslov na delwp.vic.gov.au

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Gurutzeta Guillera-Arroita

Pyrenean Institute of Ecology (CSIC) & University of Melbourne

Preverjeni e-poštni naslov na ipe.csic.es

ecological statistics quantitative ecology species distribution models wildlife monitoring detectability


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	1730	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	1018	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	713	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, DOI: 10.1111/2041-210X.13107, 2018	602	2018
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	518	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	512	2022
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities G Guillera‐Arroita Ecography 40 (2), 281-295, 2017	413	2017
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	357	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	356	2018
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	332	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	313	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	270	2016
Design of occupancy studies with imperfect detection G Guillera‐Arroita, MS Ridout, BJT Morgan Methods in Ecology and Evolution 1 (2), 131-139, 2010	262	2010
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	228	2015
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	227	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	217	2012
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	213	2019
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	203	2016
Modelling species presence‐only data with random forests R Valavi, J Elith, JJ Lahoz‐Monfort, G Guillera‐Arroita Ecography 44 (12), 1731-1742, 2021	188	2021
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	185	2014

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