Jane Elith

Predictive performance of presence-only species distribution models: a benchmark study with reproducible code

Roozbeh Valavi, Gurutzeta Guillera-Arroita, Jose J Lahoz-Monfort, Jane Elith

Journal article  |  2021  |  ECOLOGICAL MONOGRAPHS

Species distribution modeling (SDM) is widely used in ecology and conservation. Currently, the most available data for SDM are spe..

Modelling species presence-only data with random forests

Roozbeh Valavi, Jane Elith, Jose J Lahoz-Monfort, Gurutzeta Guillera-Arroita

Journal article  |  2021  |  ECOGRAPHY

The random forest (RF) algorithm is an ensemble of classification or regression trees and is widely used, including for species di..

Enhancing repository fungal data for biogeographic analyses

Tianxiao Hao, Jane Elith, Gurutzeta Guillera-Arroita, Jose J Lahoz-Monfort, Tom W May

Journal article  |  2021  |  FUNGAL ECOLOGY

Open-access occurrence data are useful for studying spatial patterns of fungi, but often have quality issues. These include errors..

Can dynamic occupancy models improve predictions of species' range dynamics? A test using Swiss birds

Natalie J Briscoe, Damaris Zurell, Jane Elith, Christian Koenig, Guillermo Fandos, Anne-Kathleen Malchow, Marc Kery, Hans Schmid, Gurutzeta Guillera-Arroita

Journal article  |  2021  |  GLOBAL CHANGE BIOLOGY

Predictions of species' current and future ranges are needed to effectively manage species under environmental change. Species ran..

How decisions about fitting species distribution models affect conservation outcomes

Angela Muscatello, Jane Elith, Heini Kujala

Journal article  |  2021  |  CONSERVATION BIOLOGY

Species distribution models (SDMs) are increasingly used in conservation and land-use planning as inputs to describe biodiversity ..

Climate extreme variables generated using monthly time-series data improve predicted distributions of plant species

SB Stewart, J Elith, M Fedrigo, S Kasel, SH Roxburgh, LT Bennett, M Chick, T Fairman, S Leonard, M Kohout, JK Cripps, L Durkin, CR Nitschke

Journal article  |  2021  |  ECOGRAPHY

Extreme weather can have significant impacts on plant species demography; however, most studies have focused on responses to a sin..

Using Species Distribution Models For Fungi

Tianxiao Hao, Gurutzeta Guillera-Arroita, Tom W May, Jose J Lahoz-Monfort, Jane Elith

Journal article  |  2020  |  FUNGAL BIOLOGY REVIEWS

Species distribution models (SDMs) are an emerging tool in the study of fungi, and their use is expanding across species and resea..

A standard protocol for reporting species distribution models

Damaris Zurell, Janet Franklin, Christian Koenig, Phil J Bouchet, Carsten F Dormann, Jane Elith, Guillermo Fandos, Xiao Feng, Gurutzeta Guillera-Arroita, Antoine Guisan, Jose J Lahoz-Monfort, Pedro J Leitao, Daniel S Park, A Townsend Peterson, Giovanni Rapacciuolo, Dirk R Schmatz, Boris Schroeder, Josep M Serra-Diaz, Wilfried Thuiller, Katherine L Yates, et al.

Journal article  |  2020  |  ECOGRAPHY

Species distribution models (SDMs) constitute the most common class of models across ecology, evolution and conservation. The adve..

Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models

Tianxiao Hao, Jane Elith, Jose J Lahoz-Monfort, Gurutzeta Guillera-Arroita

Journal article  |  2020  |  ECOGRAPHY

Predictive performance is important to many applications of species distribution models (SDMs). The SDM ‘ensemble’ approach, which..

PRESENCE-ONLY AND PRESENCE-ABSENCE DATA FOR COMPARING SPECIES DISTRIBUTION MODELING METHODS

Jane Elith, Catherine Graham, Roozbeh Valavi, Meinrad Abegg, Caroline Bruce, Andrew Ford, Antoine Guisan, Robert J Hijmans, Falk Huettmann, Lucia Lohmann, Bette Loiselle, Craig Moritz, Jake Overton, A Townsend Peterson, Steven Phillips, Karen Richardson, Stephen Williams, Susan K Wiser, Thomas Wohlgemuth, Niklaus E Zimmermann, et al.

Journal article  |  2020  |  BIODIVERSITY INFORMATICS

Species distribution models (SDMs) are widely used to predict and study distributions of species. Many different modeling methods ..