Novel methods to correct for observer and sampling bias in presence‐only species distribution models

Reintroduction modelling: A guide to choosing and combining models for species reintroductions

(2020) James Hunter-Ayad et al.   JOURNAL OF APPLIED ECOLOGY

More species, less effort: Designing and comparing sampling strategies to draft optimised floristic inventories

(2020) Marco D’Antraccoli et al.   PERSPECTIVES IN PLANT ECOLOGY EVOLUTION AND SYSTEMATICS

Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection

(2020) Christophe Botella et al.   PLoS One

Validation of presence‐only models for conservation planning and the application to whales in a multiple‐use marine park

(2020) Joshua N. Smith et al.   ECOLOGICAL APPLICATIONS

Crop and forest pest metawebs shift towards increased linkage and suitability overlap under climate change

(2020) Marc Grünig et al.   Communications Biology

Influence of climate, soil, and land cover on plant species distribution in the European Alps

(2020) Yohann Chauvier et al.   ECOLOGICAL MONOGRAPHS

Spatial thinning and class balancing: Key choices lead to variation in the performance of species distribution models with citizen science data

(2020) Valerie A. Steen et al.   Methods in Ecology and Evolution

Standards for distribution models in biodiversity assessments

(2019) Miguel B. Araújo et al.   Science Advances

Global pattern of phytoplankton diversity driven by temperature and environmental variability

(2019) Damiano Righetti et al.   Science Advances

Identifying priority conservation areas for a recovering brown bear population in Greece using citizen science data

(2019) A.‐S. Bonnet‐Lebrun et al.   ANIMAL CONSERVATION

Macroecology in the age of Big Data – Where to go from here?

(2019) Rafael O. Wüest et al.   JOURNAL OF BIOGEOGRAPHY

Sampling strategies for species with high breeding-site fidelity: A case study in burrow-nesting seabirds

(2019) Gavin E. Arneill et al.   PLoS One

Sampling and analysis frameworks for inference in ecology

(2019) Byron K. Williams et al.   Methods in Ecology and Evolution

Model complexity affects species distribution projections under climate change

(2019) Philipp Brun et al.   JOURNAL OF BIOGEOGRAPHY

Sampling bias correction in species distribution models by quasi-linear Poisson point process

(2019) Osamu Komori et al.   Ecological Informatics

Wrong, but useful: regional species distribution models may not be improved by range-wide data under biased sampling

(2018) Ahmed El-Gabbas et al.   Ecology and Evolution

Spatial conservation prioritization for the East Asian islands: A balanced representation of multitaxon biogeography in a protected area network

(2018) Joona Lehtomäki et al.   DIVERSITY AND DISTRIBUTIONS

Climatologies at high resolution for the earth’s land surface areas

(2017) Dirk Nikolaus Karger et al.   Scientific Data

Habitat and spatial thinning improve the Maxent models performed with incomplete data

(2017) Marcin Kiedrzyński et al.   Journal of Geophysical Research-Biogeosciences

Comparing pseudo-absences generation techniques in Boosted Regression Trees models for conservation purposes: A case study on amphibians in a protected area

(2017) Francesco Cerasoli et al.   PLoS One

Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information

(2016) Cory Merow et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

A stratified random sampling design in space and time for regional to global scale burned area product validation

(2016) Luigi Boschetti et al.   REMOTE SENSING OF ENVIRONMENT

spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

(2015) Matthew E. Aiello-Lammens et al.   ECOGRAPHY

A framework for species distribution modelling with improved pseudo-absence generation

(2015) Maialen Iturbide et al.   ECOLOGICAL MODELLING

Integrated models that unite local and regional data reveal larger-scale environmental relationships and improve predictions of species distributions

(2015) Robert J. Fletcher et al.   LANDSCAPE ECOLOGY

Point process models for presence-only analysis

(2015) Ian W. Renner et al.   Methods in Ecology and Evolution

Field validation shows bias-corrected pseudo-absence selection is the best method for predictive species-distribution modelling

(2014) Lionel R. Hertzog et al.   DIVERSITY AND DISTRIBUTIONS

Accounting for spatially biased sampling effort in presence-only species distribution modelling

(2014) Jessica Stolar et al.   DIVERSITY AND DISTRIBUTIONS

Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models

(2014) Sara Varela et al.   ECOGRAPHY

Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias

(2014) Yoan Fourcade et al.   PLoS One

Bias correction in species distribution models: pooling survey and collection data for multiple species

(2014) William Fithian et al.   Methods in Ecology and Evolution

Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology

(2013) Ian W. Renner et al.   BIOMETRICS

The importance of correcting for sampling bias in MaxEnt species distribution models

(2013) Stephanie Kramer-Schadt et al.   DIVERSITY AND DISTRIBUTIONS

Inference from presence-only data; the ongoing controversy

(2013) Trevor Hastie et al.   ECOGRAPHY

Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology

(2013) David I. Warton et al.   PLoS One

Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security

(2013) T. Amano et al.   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Pseudoabsence Generation Strategies for Species Distribution Models

(2012) Brice B. Hanberry et al.   PLoS One

Sampling bias in geographic and environmental space and its effect on the predictive power of species distribution models

(2012) Nadia Bystriakova et al.   SYSTEMATICS AND BIODIVERSITY

Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology

(2010) David I. Warton et al.   Annals of Applied Statistics

Sampling in ecology and evolution - bridging the gap between theory and practice

(2010) Cécile H. Albert et al.   ECOGRAPHY

Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

(2009) Jane Elith et al.   ECOGRAPHY

BIOMOD - a platform for ensemble forecasting of species distributions

(2009) Wilfried Thuiller et al.   ECOGRAPHY

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS