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Novel methods improve prediction of species' distributions from occurrence data
TLDR
This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
Predictive habitat distribution models in ecology
TLDR
A review of predictive habitat distribution modeling is presented, which shows that a wide array of models has been developed to cover aspects as diverse as biogeography, conservation biology, climate change research, and habitat or species management.
Predicting species distribution: offering more than simple habitat models.
TLDR
An overview of recent advances in species distribution models, and new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales are suggested.
Measuring ecological niche overlap from occurrence and spatial environmental data
TLDR
A statistical framework to describe and compare environmental niches from occurrence and spatial environmental data and shows that niche overlap can be accurately detected with the framework when variables driving the distributions are known.
Generalized linear and generalized additive models in studies of species distributions: setting the scene
TLDR
A series of papers prepared within the framework of an international workshop entitled: Advances in GLMs /GAMs modeling: from species distribution to environmental management, held in Riederalp, Switzerland, 6 � /11 August 2001 are introduced.
Effects of sample size on the performance of species distribution models
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others to predict species ranges from point locality data. Unfortunately, the amount of data available is
Evaluating the ability of habitat suitability models to predict species presences
Abstract Models predicting species spatial distribution are increasingly applied to wildlife management issues, emphasising the need for reliable methods to evaluate the accuracy of their
Five (or so) challenges for species distribution modelling
TLDR
Five areas of enquiry are identified and discussed that are of high importance for species distribution modelling: clarification of the niche concept; improved designs for sampling data for building models; improved parameterization; improved model selection and predictor contribution; and improved model evaluation.
Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders
TLDR
It is shown that when analog climates are compared between regions, fewer than 15% of species have more than 10% of their invaded distribution outside their native climatic niche, revealing that substantial niche shifts are rare in terrestrial plant invaders.
An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
Summary 1. Few examples of habitat-modelling studies of rare and endangered species exist in the literature, although from a conservation perspective predicting their distribution would prove
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