Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage

K Konowalik, A Nosol - Scientific Reports, 2021 - nature.com
We examine how different datasets, including georeferenced hardcopy maps of different
extents and georeferenced herbarium specimens (spanning the range from 100 to 85,000 …

The effect of sample size on the accuracy of species distribution models: considering both presences and pseudo‐absences or background sites

C Liu, G Newell, M White - Ecography, 2019 - Wiley Online Library
Most high‐performing species distribution modelling techniques require both presences,
and either absences or pseudo‐absences or background points. In this paper, we explore …

A comparison of M axlike and M axent for modelling species distributions

C Merow, JA Silander Jr - Methods in Ecology and Evolution, 2014 - Wiley Online Library
Understanding species spatial occurrence patterns and their environmental dependence is
one of the fundamental goals in ecology and evolution. Often, occurrence models are built …

Presence-only species distribution models are sensitive to sample prevalence: Evaluating models using spatial prediction stability and accuracy metrics

L Grimmett, R Whitsed, A Horta - Ecological Modelling, 2020 - Elsevier
Species distribution modelling (SDM) is an important tool for ecologists, but different
algorithms and different sampling strategies produce different results. Using virtual species …

A comparative evaluation of presence‐only methods for modelling species distribution

A Tsoar, O Allouche, O Steinitz, D Rotem… - Diversity and …, 2007 - Wiley Online Library
In spite of increasing application of presence‐only models in ecology and conservation and
the growing number of such models, little is known about the relative performance of …

Selecting pseudo-absence data for presence-only distribution modeling: how far should you stray from what you know?

J VanDerWal, LP Shoo, C Graham, SE Williams - Ecological modelling, 2009 - Elsevier
An important decision in presence-only species distribution modeling is how to select
background (or pseudo-absence) localities for model parameterization. The selection of …

Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code

R Valavi, G Guillera‐Arroita… - Ecological …, 2022 - Wiley Online Library
Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …

Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data

JM Lobo, MF Tognelli - Journal for Nature Conservation, 2011 - Elsevier
In the last decade, the application of predictive models of species distribution in ecology,
evolution, and conservation biology has increased dramatically. However, limited available …

The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models

WT Bean, R Stafford, JS Brashares - Ecography, 2012 - Wiley Online Library
Species distribution models are used for a range of ecological and evolutionary questions,
but often are constructed from few and/or biased species occurrence records. Recent work …

A comparison of joint species distribution models for presence–absence data

DP Wilkinson, N Golding… - Methods in Ecology …, 2019 - Wiley Online Library
Joint species distribution models (JSDM s) account for biotic interactions and missing
environmental predictors in correlative species distribution models. Several different JSDM s …