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 …
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
Most high‐performing species distribution modelling techniques require both presences,
and either absences or pseudo‐absences or background points. In this paper, we explore …
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 …
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
Species distribution modelling (SDM) is an important tool for ecologists, but different
algorithms and different sampling strategies produce different results. Using virtual species …
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 …
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?
An important decision in presence-only species distribution modeling is how to select
background (or pseudo-absence) localities for model parameterization. The selection of …
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 …
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 …
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 …
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 …
environmental predictors in correlative species distribution models. Several different JSDM s …