A practical guide for combining data to model species distributions

The recent past and promising future for data integration methods to estimate species’ distributions

(2019) David A. W. Miller et al.   Methods in Ecology and Evolution

Resolving misaligned spatial data with integrated species distribution models

(2019) Krishna Pacifici et al.   ECOLOGY

Integrating social and ecological data to model metapopulation dynamics in coupled human and natural systems

(2019) Nathan D. Van Schmidt et al.   ECOLOGY

Disentangling data discrepancies with integrated population models

(2019) Sarah P. Saunders et al.   ECOLOGY

Opportunities and challenges for big data ornithology

(2018) Frank A. La Sorte et al.   CONDOR

Can opportunistically collected Citizen Science data fill a data gap for habitat suitability models of less common species?

(2018) Ute Bradter et al.   Methods in Ecology and Evolution

Some insights into data weighting in integrated stock assessments

(2017) André E. Punt   FISHERIES RESEARCH

Revisiting data weighting in fisheries stock assessment models

(2017) R.I.C.Chris Francis   FISHERIES RESEARCH

Alternative biomass strategies for bioenergy: implications for bird communities across the southeastern United States

(2017) Isabel G. W. Gottlieb et al.   Global Change Biology Bioenergy

Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species

(2016) Sami Domisch et al.   ECOGRAPHY

Will climate change increase the risk of plant invasions into mountains?

(2016) Blaise Petitpierre et al.   ECOLOGICAL APPLICATIONS

Integrating mechanistic and empirical model projections to assess climate impacts on tree species distributions in northwestern North America

(2016) Michael J. Case et al.   GLOBAL CHANGE BIOLOGY

Integrating occurrence data and expert maps for improved species range predictions

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

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

Evaluating citizen vs. professional data for modelling distributions of a rare squirrel

(2016) Courtney A. Tye et al.   JOURNAL OF APPLIED ECOLOGY

Estimating the spatial scales of landscape effects on abundance

(2016) Richard Chandler et al.   LANDSCAPE ECOLOGY

First assessment of potential distribution and dispersal capacity of the emerging invasive mosquito Aedes koreicus in Northeast Italy

(2016) Matteo Marcantonio et al.   Parasites & Vectors

Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias

(2016) Viviana Ruiz-Gutierrez et al.   Methods in Ecology and Evolution

Capitalizing on opportunistic data for monitoring relative abundances of species

(2015) Christophe Giraud et al.   BIOMETRICS

Use of opportunistic sightings and expert knowledge to predict and compare Whooping Crane stopover habitat

(2015) Trevor J. Hefley et al.   CONSERVATION BIOLOGY

Predicting the future effectiveness of protected areas for bird conservation in Mediterranean ecosystems under climate change and novel fire regime scenarios

(2015) Adrián Regos et al.   DIVERSITY AND DISTRIBUTIONS

Sustainability guidelines and forest market response: an assessment of European Union pellet demand in the southeastern United States

(2015) Christopher S. Galik et al.   Global Change Biology Bioenergy

Cross-scale integration of knowledge for predicting species ranges: a metamodelling framework

(2015) Matthew V. Talluto et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Is my species distribution model fit for purpose? Matching data and models to applications

(2015) Gurutzeta Guillera-Arroita et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

The rise of “big data” on cloud computing: Review and open research issues

(2015) Ibrahim Abaker Targio Hashem et al.   INFORMATION SYSTEMS

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

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

(2014) Petr Keil et al.   DIVERSITY AND DISTRIBUTIONS

Infusing considerations of trophic dependencies into species distribution modelling

(2014) Anne M. Trainor et al.   ECOLOGY LETTERS

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

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

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

The eBird enterprise: An integrated approach to development and application of citizen science

(2013) Brian L. Sullivan et al.   BIOLOGICAL CONSERVATION

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

(2013) Ian W. Renner et al.   BIOMETRICS

Predicting species distributions for conservation decisions

(2013) Antoine Guisan et al.   ECOLOGY LETTERS

Niche conservatism and the potential for the crayfishProcambarus clarkiito invade South America

(2013) Alexandre V. Palaoro et al.   FRESHWATER BIOLOGY

Imperfect detection impacts the performance of species distribution models

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

Prevalence, thresholds and the performance of presence-absence models

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

Nondetection sampling bias in marked presence-only data

(2013) Trevor J. Hefley et al.   Ecology and Evolution

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

(2012) Robert M. Dorazio   BIOMETRICS

Towards a functional basis for predicting vegetation patterns; incorporating plant traits in habitat distribution models

(2012) Jacob C. Douma et al.   ECOGRAPHY

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

Data weighting in statistical fisheries stock assessment models

(2011) R.I.C. Chris Francis   CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES

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

Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models

(2011) Aitor Gastón et al.   ECOLOGICAL MODELLING

Improving occupancy estimation when two types of observational error occur: non-detection and species misidentification

(2011) David A. Miller et al.   ECOLOGY

Comparative interpretation of count, presence-absence and point methods for species distribution models

(2011) Geert Aarts et al.   Methods in Ecology and Evolution

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

Spatiotemporal exploratory models for broad-scale survey data

(2010) Daniel Fink et al.   ECOLOGICAL APPLICATIONS

Niche conservatism as an emerging principle in ecology and conservation biology

(2010) John J. Wiens 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

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

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

Identifying Conservation Areas on the Basis of Alternative Distribution Data Sets

(2009) JARED G. UNDERWOOD et al.   CONSERVATION BIOLOGY

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

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