Testing the effect of sample prevalence and sampling methods on probability- and favourability-based SDMs-Reference-Cited by-同舟云学术

Testing the effect of sample prevalence and sampling methods on probability- and favourability-based SDMs

Published:2023-03 Issue: Volume:477 Page:110248
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Marchetto Elisa^ORCID,Da Re Daniele,Tordoni Enrico,Bazzichetto Manuele,Zannini Piero,Celebrin Simone,Chieffallo Ludovico,Malavasi Marco,Rocchini Duccio

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference61 articles.

1. Favourability: concept distinctive characteristics and potential usefulness;Acevedo;Naturwissenschaften,2012

2. Assessing biogeographical relationships of ecologically related species using favourability functions: a case study on British deer;Acevedo;Divers. Distrib.,2010

3. Worldwide dynamic biogeography of zoonotic and anthroponotic dengue;Aliaga-Samanez;PLoS Negl. Trop. Dis.,2021

4. Potential distributions of invasive vertebrates in the iberian peninsula under projected changes in climate extreme events;Baquero;Divers. Distrib.,2021

5. Selecting pseudo-absences for species distribution models: how where and how many?;Barbet-Massin;Methods Ecol. Evol.,2012

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unravelling the impact of climate change on honey bees: An ensemble modelling approach to predict shifts in habitat suitability in Queensland, Australia;Ecology and Evolution;2024-04

2. Distribution of Suitable Habitats for Soft Corals (Alcyonacea) Based on Machine Learning;Journal of Marine Science and Engineering;2024-01-30

3. Towards causal relationships for modelling species distribution;Journal of Biogeography;2023-12-29

4. USE it: Uniformly sampling pseudo‐absences within the environmental space for applications in habitat suitability models;Methods in Ecology and Evolution;2023-10-04

5. Correcting for the effects of class imbalance improves the performance of machine-learning based species distribution models;Ecological Modelling;2023-09