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

What determines the spatial extent of landscape effects on species?

(2015) Paul Miguet et al.   LANDSCAPE ECOLOGY

Point process models for presence-only analysis

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

Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions

(2014) Petr Keil et al.   DIVERSITY AND DISTRIBUTIONS

Landscape context affects genetic diversity at a much larger spatial extent than population abundance

(2014) Nathan D. Jackson et al.   ECOLOGY

Are ecologists conducting research at the optimal scale?

(2014) Heather Bird Jackson et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Accounting for imperfect detection and survey bias in statistical analysis of presence-only data

(2014) Robert M. Dorazio   GLOBAL ECOLOGY AND BIOGEOGRAPHY

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

Accounting for Imperfect Detection in Ecology: A Quantitative Review

(2014) Kenneth F. Kellner 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

Inference from presence-only data; the ongoing controversy

(2013) Trevor Hastie et al.   ECOGRAPHY

Imperfect detection impacts the performance of species distribution models

(2013) José J. Lahoz-Monfort et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Selecting thresholds for the prediction of species occurrence with presence-only data

(2013) Canran Liu et al.   JOURNAL OF BIOGEOGRAPHY

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

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

Prevalence, thresholds and the performance of presence-absence models

(2013) Callum R. Lawson et al.   Methods in Ecology and Evolution

Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors

(2012) Robert M. Dorazio   BIOMETRICS

Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions

(2012) J. Andrew Royle et al.   Methods in Ecology and Evolution

Assessing transferability of ecological models: an underappreciated aspect of statistical validation

(2012) Seth J. Wenger et al.   Methods in Ecology and Evolution

Predicting Species Distributions from Samples Collected along Roadsides

(2011) KYLE P. MCCARTHY et al.   CONSERVATION BIOLOGY

Does accounting for imperfect detection improve species distribution models?

(2011) Christopher T. Rota et al.   ECOGRAPHY

Overlapping landscapes: A persistent, but misdirected concern when collecting and analyzing ecological data

(2011) Benjamin Zuckerberg et al.   JOURNAL OF WILDLIFE MANAGEMENT

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

Citizen Science as an Ecological Research Tool: Challenges and Benefits

(2010) Janis L. Dickinson et al.   Annual Review of Ecology Evolution and Systematics

Projected Climate Impacts for the Amphibians of the Western Hemisphere

(2010) JOSHUA J. LAWLER et al.   CONSERVATION BIOLOGY

Measuring and comparing the accuracy of species distribution models with presence-absence data

(2010) Canran Liu et al.   ECOGRAPHY

Landscape size affects the relative importance of habitat amount, habitat fragmentation, and matrix quality on forest birds

(2010) Adam C. Smith et al.   ECOGRAPHY

Combining local- and large-scale models to predict the distributions of invasive plant species

(2010) Chad C. Jones et al.   ECOLOGICAL APPLICATIONS

An assessment of integrated population models: bias, accuracy, and violation of the assumption of independence

(2010) Fitsum Abadi et al.   ECOLOGY

Spatial autocorrelation and the scaling of species–environment relationships

(2010) H. J. de Knegt et al.   ECOLOGY

Regression analysis of spatial data

(2010) Colin M. Beale et al.   ECOLOGY LETTERS

Using species distribution models to identify suitable areas for biofuel feedstock production

(2010) JASON M. EVANS et al.   Global Change Biology Bioenergy

The influence of landscape, patch, and within-patch factors on species presence and abundance: a review of focal patch studies

(2010) Daniel H. Thornton et al.   LANDSCAPE ECOLOGY

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

(2009) Jane Elith et al.   Annual Review of Ecology Evolution and Systematics

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

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

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

Effects of drought on avian community structure

(2009) THOMAS P. ALBRIGHT et al.   GLOBAL CHANGE BIOLOGY

Evaluation of consensus methods in predictive species distribution modelling

(2008) Mathieu Marmion et al.   DIVERSITY AND DISTRIBUTIONS

Partitioning the multi-scale effects of human activity on the occurrence of riparian forest birds

(2008) Robert J. Fletcher et al.   LANDSCAPE ECOLOGY