4.5 Article

Integrated modeling of waterfowl distribution in western Canada using aerial survey and citizen science (eBird) data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geosciences, Multidisciplinary

Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway

Jorge Sicacha-Parada et al.

Summary: This paper proposes a modeling approach to account for the impact of accessibility on varying sampling effort, using a case study of moose occurrence in Hedmark, Norway from citizen science data. The study reveals considerable biases in estimates for the effect of radiation on moose occurrence when accessibility is not considered in the model.

SPATIAL STATISTICS (2021)

Review Ecology

Environmental covariates for modelling the distribution and abundance of breeding ducks in northern North America: a review

Antoine Adde et al.

Summary: Many studies have been conducted over the past 50 years to identify environmental factors influencing breeding duck abundance and distribution in northern North America. Wetland covariates were found to be the most frequently associated with ducks, followed by climate covariates. Agriculture associations with ducks were mostly negative. More research is needed to support forecasts of duck distribution under future human activity.

ECOSCIENCE (2021)

Review Ecology

Data Integration for Large-Scale Models of Species Distributions

Nick J. B. Isaac et al.

TRENDS IN ECOLOGY & EVOLUTION (2020)

Article Biodiversity Conservation

Predicting spatiotemporal abundance of breeding waterfowl across Canada: A Bayesian hierarchical modelling approach

Antoine Adde et al.

DIVERSITY AND DISTRIBUTIONS (2020)

Article Ecology

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

David A. W. Miller et al.

METHODS IN ECOLOGY AND EVOLUTION (2019)

Article Ecology

inlabru: an R package for Bayesian spatial modelling from ecological survey data

Fabian E. Bachl et al.

METHODS IN ECOLOGY AND EVOLUTION (2019)

Article Ecology

A practical guide for combining data to model species distributions

Robert J. Fletcher et al.

ECOLOGY (2019)

Article Biodiversity Conservation

An evaluation of stringent filtering to improve species distribution models from citizen science data

Valerie A. Steen et al.

DIVERSITY AND DISTRIBUTIONS (2019)

Article Environmental Sciences

Recreation economics to inform migratory species conservation: Case study of the northern pintail

Brady J. Mattsson et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2018)

Article Biodiversity Conservation

Correcting for bias in distribution modelling for rare species using citizen science data

Orin J. Robinson et al.

DIVERSITY AND DISTRIBUTIONS (2018)

Article Meteorology & Atmospheric Sciences

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

Stephen E. Fick et al.

INTERNATIONAL JOURNAL OF CLIMATOLOGY (2017)

Article Statistics & Probability

Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

Daniel Simpson et al.

STATISTICAL SCIENCE (2017)

Article Environmental Sciences

Circa 2010 Land Cover of Canada: Local Optimization Methodology and Product Development

Rasim Latifovic et al.

REMOTE SENSING (2017)

Article Multidisciplinary Sciences

The diversity and evolution of ecological and environmental citizen science

Michael J. Pocock et al.

PLOS ONE (2017)

Article Statistics & Probability

Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology

Janine B. Illian et al.

ASTA-ADVANCES IN STATISTICAL ANALYSIS (2017)

Article Biodiversity Conservation

Citizen science can improve conservation science, natural resource management, and environmental protection

Duncan C. McKinley et al.

BIOLOGICAL CONSERVATION (2017)

Article Biodiversity Conservation

Contribution of citizen science towards international biodiversity monitoring

Mark Chandler et al.

BIOLOGICAL CONSERVATION (2017)

Article Computer Science, Interdisciplinary Applications

Bayesian Spatial Modelling with R-INLA

Finn Lindgren et al.

JOURNAL OF STATISTICAL SOFTWARE (2015)

Review Ecology

Point process models for presence-only analysis

Ian W. Renner et al.

METHODS IN ECOLOGY AND EVOLUTION (2015)

Review Biodiversity Conservation

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

Brian L. Sullivan et al.

BIOLOGICAL CONSERVATION (2014)

Article Computer Science, Theory & Methods

Understanding predictive information criteria for Bayesian models

Andrew Gelman et al.

STATISTICS AND COMPUTING (2014)

Article Biodiversity Conservation

Models to predict the distribution and abundance of breeding ducks in Canada

Nicole K. S. Barker et al.

AVIAN CONSERVATION AND ECOLOGY (2014)

Article Ecology

Statistics for citizen science: extracting signals of change from noisy ecological data

Nick J. B. Isaac et al.

METHODS IN ECOLOGY AND EVOLUTION (2014)

Article Statistics & Probability

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

Michela Cameletti et al.

ASTA-ADVANCES IN STATISTICAL ANALYSIS (2013)

Article Multidisciplinary Sciences

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

David I. Warton et al.

PLOS ONE (2013)

Article Ecology

Fitting complex ecological point process models with integrated nested Laplace approximation

Janine B. Illian et al.

METHODS IN ECOLOGY AND EVOLUTION (2013)

Article Statistics & Probability

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

Finn Lindgren et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)

Review Ecology

Citizen Science as an Ecological Research Tool: Challenges and Benefits

Janis L. Dickinson et al.

ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS, VOL 41 (2010)

Editorial Material Biodiversity Conservation

Beyond scarcity: citizen science programmes as useful tools for conservation biogeography

Vincent Devictor et al.

DIVERSITY AND DISTRIBUTIONS (2010)

Review Statistics & Probability

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Havard Rue et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2009)

Review Ecology

Monitoring for conservation

James D. Nichols et al.

TRENDS IN ECOLOGY & EVOLUTION (2006)