4.5 Article

SDM profiling: A tool for assessing the information-content of sampled and unsampled locations for species distribution models

Related references

Note: Only part of the references are listed.
Article Biodiversity Conservation

Sampling and modelling rare species: Conceptual guidelines for the neglected majority

Alienor Jeliazkov et al.

Summary: Biodiversity conservation faces a methodological challenge in accurately predicting the distribution of rare species due to limited data and spatial bias. This article summarizes the different types of data and distribution models suitable for different categories of species rarity, providing a guide for improving the prediction of rare species distribution.

GLOBAL CHANGE BIOLOGY (2022)

Article Ecology

A Test of Species Distribution Model Transferability Across Environmental and Geographic Space for 108 Western North American Tree Species

Noah D. Charney et al.

Summary: Species distribution models (SDMs) are commonly used for environmental decision-making, but their ability to predict species response under novel conditions varies. Algorithm performance was better in predicting occurrences within the same geographic region as fitted, with no significant differences in predictive performance across algorithms. However, transferability in environmental space varied, with GAM performing best but declining steeply with increasing extrapolation.

FRONTIERS IN ECOLOGY AND EVOLUTION (2021)

Article Multidisciplinary Sciences

Spatial validation reveals poor predictive performance of large-scale ecological mapping models

Pierre Ploton et al.

NATURE COMMUNICATIONS (2020)

Article Multidisciplinary Sciences

No one-size-fits-all solution to clean GBIF

Alexander Zizka et al.

PEERJ (2020)

Review Ecology

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

Gurutzeta Guillera-Arroita et al.

GLOBAL ECOLOGY AND BIOGEOGRAPHY (2015)

Article Ecology

Making better MAXENT models of species distributions: complexity, overfitting and evaluation

Aleksandar Radosavljevic et al.

JOURNAL OF BIOGEOGRAPHY (2014)

Article Biodiversity Conservation

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

Stephanie Kramer-Schadt et al.

DIVERSITY AND DISTRIBUTIONS (2013)

Article Ecology

Predicting species distributions for conservation decisions

Antoine Guisan et al.

ECOLOGY LETTERS (2013)

Review Biology

Incorporating uncertainty in predictive species distribution modelling

Colin M. Beale et al.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2012)

Article Ecology

Selecting pseudo-absences for species distribution models: how, where and how many?

Morgane Barbet-Massin et al.

METHODS IN ECOLOGY AND EVOLUTION (2012)

Article Geography, Physical

Accounting for uncertainty when mapping species distributions: The need for maps of ignorance

Duccio Rocchini et al.

PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT (2011)

Article Ecology

Making statistics biologically relevant in fragmented landscapes

Robert M. Ewers et al.

TRENDS IN ECOLOGY & EVOLUTION (2010)

Article Ecology

The art of modelling range-shifting species

Jane Elith et al.

METHODS IN ECOLOGY AND EVOLUTION (2010)

Review Ecology

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

Jane Elith et al.

ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS (2009)

Article Multidisciplinary Sciences

How Global Is the Global Biodiversity Information Facility?

Chris Yesson et al.

PLOS ONE (2007)

Article Biodiversity Conservation

Using niche-based models to improve the sampling of rare species

A Guisan et al.

CONSERVATION BIOLOGY (2006)

Article Computer Science, Interdisciplinary Applications

Multivariable geostatistics in S: the gstat package

EJ Pebesma

COMPUTERS & GEOSCIENCES (2004)