Connections between imperfect detection and ecological inference

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

2021-11-16

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

Assessing the accuracy of density-independent demographic models for predicting species ranges

Matthew H Holden, Jian DL Yen, Natalie J Briscoe, Jose J Lahoz-Monfort, Roberto Salguero-Gomez, Peter A Vesk, Gurutzeta Guillera-Arroita

2021-03-02

Accurately predicting species ranges is a primary goal of ecology. Demographic distribution models (DDMs), which correlate underly..

Defining and evaluating predictions of joint species distribution models

David P Wilkinson, Nick Golding, Gurutzeta Guillera-Arroita, Reid Tingley, Michael A McCarthy

2020-11-08

Joint species distribution models (JSDMs) simultaneously model the distributions of multiple species, while accounting for residua..

Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations

Nicolas J Deere, Gurutzeta Guillera-Arroita, Tom Swinfield, David T Milodowski, David A Coomes, Henry Bernard, Glen Reynolds, Zoe G Davies, Matthew J Struebig

2020-10-20

Tropical forest ecosystems are facing unprecedented levels of degradation, severely compromising habitat suitability for wildlife...

Implications of zero-deforestation commitments: Forest quality and hunting pressure limit mammal persistence in fragmented tropical landscapes

Nicolas J Deere, Gurutzeta Guillera-Arroita, Philip J Platts, Simon L Mitchell, Esther L Baking, Henry Bernard, Jessica K Haysom, Glen Reynolds, Dave JJ Seaman, Zoe G Davies, Matthew J Struebig

2020-05-01

Zero-deforestation commitments seek to decouple agricultural production and forest loss to improve prospects for biodiversity. How..

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

2020-01-27

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

Data Integration for Large-Scale Models of Species Distributions

Nick JB Isaac, Marta A Jarzyna, Petr Keil, Lea I Dambly, Philipp H Boersch-Supan, Ella Browning, Stephen N Freeman, Nick Golding, Gurutzeta Guillera-Arroita, Peter A Henrys, Susan Jarvis, Jose Lahoz-Monfort, Joern Pagel, Oliver L Pescott, Reto Schmucki, Emily G Simmonds, Robert B O'Hara

2020-01-01

With the expansion in the quantity and types of biodiversity data being collected, there is a need to find ways to combine these d..

A Call for International Leadership and Coordination to Realize the Potential of Conservation Technology

Jose J Lahoz-Monfort, Iadine Chades, Alasdair Davies, Eric Fegraus, Edward Game, Gurutzeta Guillera-Arroita, Robert Harcourt, Karlina Indraswari, Jennifer Mcgowan, Jessica L Oliver, Johannes Refisch, Jonathan Rhodes, Paul Roe, Alex Rogers, Adrian Ward, David M Watson, James EM Watson, Brendan A Wintle, Lucas Joppa

2019-10-01

Advancing technology represents an unprecedented opportunity to enhance our capacity to conserve the Earth's biodiversity. However..

Joint species distribution models with species correlations and imperfect detection

Mathias W Tobler, Marc Kery, Francis KC Hui, Gurutzeta Guillera-Arroita, Peter Knaus, Thomas Sattler

2019-08-01

Spatiotemporal patterns in biological communities are typically driven by environmental factors and species interactions. Spatial ..

Forecasting species range dynamics with process-explicit models: matching methods to applications

Natalie J Briscoe, Jane Elith, Roberto Salguero-Gomez, Jose J Lahoz-Monfort, James S Camac, Katherine M Giljohann, Matthew H Holden, Bronwyn A Hradsky, Michael R Kearney, Sean M McMahon, Ben L Phillips, Tracey J Regan, Jonathan R Rhodes, Peter A Vesk, Brendan A Wintle, Jian DL Yen, Gurutzeta Guillera-Arroita

2019-07-29

Knowing where species occur is fundamental to many ecological and environmental applications. Species distribution models (SDMs) a..

A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD

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

2019-05-01

Aim: The idea of combining predictions from different models into an ensemble has gained considerable popularity in species distri..

Towards meaningful monitoring: A case study of a threatened rodent

Hayley M Geyle, Gurutzeta Guillera-Arroita, Hugh F Davies, Ronald SC Firth, Brett P Murphy, Dale G Nimmo, Euan G Ritchie, John CZ Woinarski, Emily Nicholson

2019-04-01

Detecting trends in species' distribution and abundance is essential for conserving threatened species, and depends upon effective..

A comparison of joint species distribution models for presence-absence data

David P Wilkinson, Nick Golding, Gurutzeta Guillera-Arroita, Reid Tingley, Michael A McCarthy

2019-02-01

1. Joint species distribution models (JSDMs) account for biotic interactions and missing environmental predictors in correlative s..

blockCV: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models

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

2019-02-01

When applied to structured data, conventional random cross-validation techniques can lead to underestimation of prediction error, ..

Inferring species richness using multispecies occupancy modeling: Estimation performance and interpretation

Gurutzeta Guillera-Arroita, Marc Kery, Jose J Lahoz-Monfort

2019-01-01

Multispecies occupancy models can estimate species richness from spatially replicated multispecies detection/non-detection survey ..

Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference

Carsten F Dormann, Justin M Calabrese, Gurutzeta Guillera-Arroita, Eleni Matechou, Volker Bahn, Kamil Barton, Colin M Beale, Simone Ciuti, Jane Elith, Katharina Gerstner, Jerome Guelat, Petr Keil, Jose J Lahoz-Monfort, Laura J Pollock, Bjoern Reineking, David R Roberts, Boris Schroeder, Wilfried Thuiller, David I Warton, Brendan A Wintle

2018-11-01

In ecology, the true causal structure for a given problem is often not known, and several plausible models and thus model predicti..

A spatially integrated framework for assessing socioecological drivers of carnivore decline

Nicolas Galvez, Gurutzeta Guillera-Arroita, Freya AV St John, Elke Schuettler, David W Macdonald, Zoe G Davies

2018-05-01

Habitat loss, fragmentation and degradation are key threats to the long-term persistence of carnivores, which are also susceptible..

High Carbon Stock forests provide co-benefits for tropical biodiversity

Nicolas J Deere, Gurutzeta Guillera-Arroita, Esther L Baking, Henry Bernard, Marion Pfeifer, Glen Reynolds, Oliver R Wearn, Zoe G Davies, Matthew J Struebig

2018-03-01

Carbon‐based policies provide powerful opportunities to unite tropical forest conservation with climate change mitigation. However..

Dealing with false-positive and false-negative errors about species occurrence at multiple levels

Gurutzeta Guillera-Arroita, Jose Joaquin Lahoz-Monfort, Anthony R van Rooyen, Andrew R Weeks, Reid Tingley

2017-09-01

Summary 1. Accurate knowledge of species occurrence is fundamental to a wide variety of ecological, evolutionary and conservation ..

Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure

David R Roberts, Volker Bahn, Simone Ciuti, Mark S Boyce, Jane Elith, Gurutzeta Guillera-Arroita, Severin Hauenstein, Jose J Lahoz-Monfort, Boris Schroeder, Wilfried Thuiller, David I Warton, Brendan A Wintle, Florian Hartig, Carsten F Dormann

2017-08-01

Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic structure. Modern statistical approac..

Model-based approaches to deal with detectability: a comment on Hutto (2016a)

Tiago A Marques, Len Thomas, Marc Kery, Stephen T Buckland, David L Borchers, Eric Rexstad, Rachel M Fewster, Darryl I Mackenzie, J Andrew Royle, Gurutzeta Guillera-Arroita, Colleen M Handel, David C Pavlacky, Richard J Camp

2017-07-01

Model-based approaches to deal with detectability: a comment on Hutto (2016a).

Tiago A Marques, Len Thomas, Marc Kéry, Stephen T Buckland, David L Borchers, Eric Rexstad, Rachel M Fewster, Darryl I MacKenzie, J Andrew Royle, Gurutzeta Guillera-Arroita, Colleen M Handel, David C Pavlacky, Richard J Camp

2017-07-01

Graphical diagnostics for occupancy models with imperfect detection

David I Warton, Jakub Stoklosa, Gurutzeta Guillera-Arroita, Darryl I MacKenzie, Alan H Welsh

2017-04-01

Occupancy-detection models that account for imperfect detection have become widely used in many areas of ecology. As with any mode..

Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities

Gurutzeta Guillera-Arroita

2017-02-01

Building useful models of species distributions requires attention to several important issues, one being imperfect detection of s..

Cost-efficient effort allocation for camera-trap occupancy surveys of mammals

Nicolas Galvez, Gurutzeta Guillera-Arroita, Byron JT Morgan, Zoe G Davies

2016-12-01

Camera-traps are increasingly used to survey threatened mammal species and are an important tool for estimating habitat occupancy...