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

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Global Ecology and Biogeography

• Publication date

  2014-12-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1111/GEB.12216
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Imperfect detection impacts the performance of species distribution models

  2014cited by this paper
• R: A language and environment for statistical computing.

  2014cited by this paper
• Imperfect detection is the rule rather than the exception in plant distribution studies

  2013cited by this paper
• On estimating probability of presence from use-availability or presence-background data.

  2013cited by this paper
• Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology

  2013cited by this paper
• Presence‐only modelling using MAXENT: when can we trust the inferences?

  2013cited by this paper
• Bayes and Empirical Bayes Estimators of Abundance and Density from Spatial Capture-Recapture Data

  2013cited by this paper
• Using species distribution and occupancy modeling to guide survey efforts and assess species status

  2013cited by this paper
• Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error

  2012cited by this paper
• Occupancy in continuous habitat

  2012cited by this paper
• Selecting pseudo‐absences for species distribution models: how, where and how many?

  2012cited by this paper
• Correlation and process in species distribution models: bridging a dichotomy

  2012cited by this paper
• Predicting the Geographic Distribution of a Species from Presence‐Only Data Subject to Detection Errors

  2012cited by this paper
• Finite-Sample Equivalence in Statistical Models for Presence-Only Data.

  2012cited by this paper
• Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents

  2012cited by this paper
• A niche for biology in species distribution models

  2012cited by this paper
• Application of Branching Models in the Study of Invasive Species

  2012cited by this paper
• How do species interactions affect species distribution models

  2012cited by this paper
• The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling

  2012cited by this paper
• A statistical explanation of MaxEnt for ecologists

  2011cited by this paper
• Using presence-only and presence–absence data to estimate the current and potential distributions of established invasive species

  2011cited by this paper
• Statistics for Spatio-Temporal Data

  2011cited by this paper
• Inference about density and temporary emigration in unmarked populations.

  2011cited by this paper
• Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

  2010cited by this paper
• Correction note: Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology

  2010cited by this paper
• Point Pattern Modeling for Degraded Presence-Only Data over Large Regions

  2010cited by this paper
• Testing the accuracy of species distribution models using species records from a new field survey

  2010cited by this paper
• Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.

  2009cited by this paper
• Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions.

  2009cited by this paper
• Statistical Analysis and Modelling of Spatial Point Patterns

  2008cited by this paper
• Spatially Explicit Maximum Likelihood Methods for Capture–Recapture Studies

  2008cited by this paper
• Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities

  2008cited by this paper
• Sensitivity of predictive species distribution models to change in grain size

  2007cited by this paper
• Species Associations in a Heterogeneous Sri Lankan Dipterocarp Forest

  2007cited by this paper
• Analyzing the spatial structure of a Sri Lankan tree species with multiple scales of clustering.

  2007cited by this paper
• On the choice of statistical models for estimating occurrence and extinction from animal surveys.

  2007cited by this paper
• Maximum entropy modeling of species geographic distributions

  2006cited by this paper
• Novel methods improve prediction of species' distributions from occurrence data

  2006cited by this paper
• Modelling distribution and abundance with presence‐only data

  2006cited by this paper
• Fitting binary regression models with case-augmented samples

  2006cited by this paper
• Weighted distributions and estimation of resource selection probability functions.

  2006cited by this paper
• Predicting species distribution: offering more than simple habitat models.

  2005cited by this paper
• Density estimation in live‐trapping studies

  2004cited by this paper
• Combining probabilities of occurrence with spatial reserve design

  2004cited by this paper
• N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts

  2004cited by this paper
• IMPROVING PRECISION AND REDUCING BIAS IN BIOLOGICAL SURVEYS: ESTIMATING FALSE‐NEGATIVE ERROR RATES

  2003cited by this paper
• Statistical Inference and Simulation for Spatial Point Processes

  2003cited by this paper
• ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS

  2003cited by this paper
• Predicting Species Occurrences: Issues of Accuracy and Scale

  2002cited by this paper
• ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE

  2002cited by this paper
• Monitoring of biological diversity in space and time

  2001cited by this paper
• Multitype Spatial Point Patterns with Hierarchical Interactions

  1999cited by this paper
• THE THEORY OF PARAMETRIC IDENTIFICATION

  1973cited by this paper

• The Vulnerability of Chinese Theaceae Species Under Future Climate Change

  2026cites this paper
• Ecological niche models as tools for freshwater fish conservation in a changing world

  2026cites this paper
• Identifying potentially suitable and accessible refugia to mitigate impacts of an emerging disease on a rare tree

  2025cites this paper
• Predicting detection probabilities to estimate species' population sizes

  2025cites this paper
• Impacts of different types of data integration on the predictions of spatio-temporal models: A fishery application and simulation experiment

  2025cites this paper
• Integrated Species Distribution Model Using Historical Data Shows Decline in a Common Semi‐Aquatic Mammal

  2025cites this paper
• Robustness of Point Process Species Distribution Models to Misspecified Temporal Support

  2025cites this paper
• Key Habitat and Predatory Influences on the Community- and Species-Level Population Dynamics of Spring-Breeding Amphibian Larvae Within a Remnant Tupelo-Cypress Wetland

  2025cites this paper
• Integrating Deep Learning and Spatial Statistics in Marine Ecosystem Monitoring

  2025cites this paper
• Range expansion and reconnection of historical populations in the Eurasian otter (Lutra lutra) in France: Insights from heterogeneous data and integrated species distribution modelling

  2025cites this paper
• Twenty years (2000–2020) of butterfly monitoring data across the contiguous United States

  2025cites this paper
• Integrated species distribution models predict motorized and non-motorized outdoor recreation across seasons

  2025cites this paper
• Balancing Monitoring and Management in the Adaptive Management of an Invasive Species

  2025cites this paper
• Disequilibrium in plant distributions: Challenges and approaches for species distribution models

  2025cites this paper
• Estimating the Abundance of an Endangered Arboreal Marsupial Using Camera Traps and an Integrated Species Distribution Model

  2025cites this paper
• An integrated multi-model approach reveals the nonlinear driving mechanisms of the ecosystem services supply-demand balance: Towards sustainable ecological management

  2025cites this paper
• Performance of generalized distance sampling models with temporary emigration: a simulation study

  2025cites this paper
• Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline

  2025cites this paper
• Data quality issues in data used in species distribution models: A systematic literature review

  2025cites this paper
• Emerging Topics and New Directions in Statistical Ecology

  2025cites this paper
• Bayesian Optimal Design for Occupancy Modelling Using Integrated Presence-Only and Presence-Absence Data

  2025cites this paper
• Integrating presence‐only and detection/non‐detection data to estimate distributions and expected abundance of difficult‐to‐monitor species on a landscape‐scale

  2024cites this paper
• Global threat status, rarity, and species distribution affect prevalence of Atlantic Forest endemic birds in citizen-collected datasets

  2024cites this paper
• Mapping the marginals: predicting unplanned human settlements in urban protected areas of Bogotá, Colombia

  2024cites this paper
• Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length

  2024cites this paper
• Integrating counts from rigorous surveys and participatory science to better understand spatiotemporal variation in population processes

  2024cites this paper
• Overcoming data gaps using integrated models to estimate migratory species' dynamics during cryptic periods of the annual cycle

  2024influential citation
• How abundant is a species at the limit of its distribution range? Crested porcupine Hystrix cristata and its northern population

  2024cites this paper
• intSDM: An R Package for Building a Reproducible Workflow for the Field of Integrated Species Distribution Models

  2024cites this paper
• A local community on a global collective intelligence platform: A case study of individual preferences and collective bias in ecological citizen science

  2024cites this paper
• Game target‐group: Implementing inhomogeneous Poisson point process to estimate animal abundance from harvest data

  2024cites this paper
• Evaluating spatial resolution and imperfect detection effects on the predictive performance of inhomogeneous spatial point process models trained with simulated presence-only data

  2024cites this paper
• Applying the maximum entropy principle to neural networks enhances multi-species distribution models

  2024cites this paper
• Can we accurately predict the distribution of soil microorganism presence and relative abundance?

  2024cites this paper
• Integrated species distribution models to account for sampling biases and improve range‐wide occurrence predictions

  2023cites this paper
• Community Science Strategies Reveal Distributional Patterns of Treponeme-Associated Hoof Disease in Washington Elk (Cervus canadensis)

  2023cites this paper
• Machine learning combined with Geodetector quantifies the synergistic effect of environmental factors on soil heavy metal pollution

  2023cites this paper
• Performance of inhomogeneous Poisson point process models under different scenarios of uncertainty in species presence-only data

  2023influential citation
• A fast method for fitting integrated species distribution models

  2023cites this paper
• A practical approach to making use of uncertain species presence-only data in ecology: Reclassification, regularization methods and observer bias

  2023cites this paper
• Uniting Experiments and Big Data to advance ecology and conservation.

  2023cites this paper
• Integrated community models: A framework combining multispecies data sources to estimate the status, trends and dynamics of biodiversity.

  2023cites this paper
• Presence-Only for Marked Point Process Under Preferential Sampling

  2023cites this paper
• Citizen science can complement professional invasive plant surveys and improve estimates of suitable habitat

  2023cites this paper
• Nonparametric Identifiability in Species Distribution and Abundance Models: Why it Matters and How to Diagnose a Lack of it Using Simulation

  2023cites this paper
• Local factors and bionomic characteristics determining the occurrence of semiaquatic bugs in streams of Central Amazonia

  2023cites this paper
• Assessing marine mammal abundance: A novel data fusion

  2023cites this paper
• What You See Is Not What Is There: Mechanisms, Models and Methods for Point Pattern Deviations

  2023cites this paper
• Revealing large‐scale parasite ranges: An integrated spatiotemporal database and multisource analysis of the winter tick

  2023cites this paper
• Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation

  2023cites this paper
• More than 10,000 pre-Columbian earthworks are still hidden throughout Amazonia

  2023cites this paper
• Fast, Approximate Maximum Likelihood Estimation of Log-Gaussian Cox Processes

  2023cites this paper
• Integrating presence‐only and presence–absence data to model changes in species geographic ranges: An example in the Neotropics

  2023cites this paper
• Robust identification of potential habitats of a rare demersal species (blackspot seabream) in the Northeast Atlantic

  2023cites this paper
• Determining Best Practice for the Spatial Poisson Process in Species Distribution Modelling

  2023cites this paper
• Data integration reveals dynamic and systematic patterns of breeding habitat use by a threatened shorebird

  2023cites this paper
• Integrating disparate survey data in species distribution models demonstrate the need for robust model evaluation

  2023cites this paper
• Building use-inspired species distribution models: using multiple data types to examine and improve model performance.

  2023cites this paper
• Development of a new method framework to estimate the nonlinear and interaction relationship between environmental factors and soil heavy metals.

  2023cites this paper
• Explaining detection heterogeneity with finite mixture and non-Euclidean movement in spatially explicit capture-recapture models

  2022cites this paper
• Challenges and opportunities for using natural history collections to estimate insect population trends.

  2022cites this paper
• Integration of mark–recapture and acoustic detections for unbiased population estimation in animal communities

  2022cites this paper
• Analysis of presence-only data via exact Bayes, with model and effects identification

  2022cites this paper
• int SDM: A reproducible framework for integrated species distribution models

  2022cites this paper
• Diet analysis using generalized linear models derived from foraging processes using R package mvtweedie

  2022cites this paper
• Accounting for detection probability with overestimation by integrating double monitoring programs over 40 years

  2022cites this paper
• Distribution Drivers of the Alien Butterfly Geranium Bronze (Cacyreus marshalli) in an Alpine Protected Area and Indications for an Effective Management

  2022cites this paper
• Correlations between spatial sampling biases and environmental niches affect species distribution models

  2022cites this paper
• Integrated species distribution models reveal spatiotemporal patterns of human-wildlife conflict.

  2022cites this paper
• Quantifying the relationship between prey density, livestock and illegal killing of leopards

  2022cites this paper
• Responses and modeling of southern pine beetle and its host pines to climate change

  2022cites this paper
• Temporal trends in the spatial bias of species occurrence records

  2022cites this paper
• Species profiles support recommendations for quality filtering of opportunistic citizen science data

  2022cites this paper
• Joint analysis of structured and semi-structured community science data improves precision of relative abundance but not trends in birds

  2022cites this paper
• Integrated distance sampling models for simple point counts.

  2022cites this paper
• The dos and don’ts for predicting invasion dynamics with species distribution models

  2022cites this paper
• Integrated Population Models: Achieving Their Potential

  2022cites this paper
• Spatiotemporal modelling of abundance from multiple data sources in an integrated spatial distribution model

  2022influential citation
• Seasonal distribution of an opportunistic apex predator (Tursiops truncatus) in marine coastal habitats of the Western Mediterranean Sea

  2022cites this paper
• Crested porcupine (Hystrix cristata) abundance estimation using Bayesian methods: first data from a highly agricultural environment in central Italy

  2022influential citation
• A GLMM approach for combining multiple relative abundance surfaces

  2022cites this paper
• Numbers and presence of guarding dogs affect wolf and leopard predation on livestock in northeastern Iran

  2022cites this paper
• The predictive performance of process‐explicit range change models remains largely untested

  2022cites this paper
• Bayesian species distribution models integrate presence-only and presence-absence data to predict deer distribution and relative abundance

  2022cites this paper
• Accounting for niche truncation to improve spatial and temporal predictions of species distributions

  2022cites this paper
• Data-integration of opportunistic species observations into hierarchical modeling frameworks improves spatial predictions for urban red squirrels

  2022influential citation
• Sampling and modelling rare species: Conceptual guidelines for the neglected majority

  2022cites this paper
• Data fusion of distance sampling and capture-recapture data

  2022cites this paper
• The fate of giant panda and its sympatric mammals under future climate change

  2022cites this paper
• Nest aggregations of wild bees and apoid wasps in urban pavements: a “street life” to be promoted in urban planning

  2021cites this paper
• Species Traits Drive Long-Term Population Trends of Common Breeding Birds in Northern Italy

  2021cites this paper
• A Framework of Observer-Based Biases in Citizen Science Biodiversity Monitoring: Semi-Structuring Unstructured Biodiversity Monitoring Protocols

  2021cites this paper
• DBias: Predicting attribute effectiveness using biased databases

  2021cites this paper
• Jointly estimating spatial sampling effort and habitat suitability for multiple species from opportunistic presence‐only data

  2021cites this paper
• Integration of presence‐only data from several sources: a case study on dolphins' spatial distribution

  2021influential citation
• Deriving indicators of biodiversity change from unstructured community‐contributed data

  2021cites this paper
• Assessing the effect of sample bias correction in species distribution models

  2021influential citation
• Citizen Science Data Collection for Integrated Wildlife Population Analyses

  2021cites this paper
• Assessing temporal biases across aggregated historical spatial data: a case study of North Carolina’s freshwater fishes

  2021cites this paper
• Predicting koala (Phascolarctos cinereus) distribution from incidental sighting data in South-East Queensland, Australia

  2021cites this paper