Assessing the effect of sample bias correction in species distribution models-Reference-Cited by-同舟云学术

Assessing the effect of sample bias correction in species distribution models

Published:2022-12 Issue: Volume:145 Page:109487
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Dubos Nicolas,Préau Clémentine,Lenormand Maxime,Papuga Guillaume,Monsarrat Sophie,Denelle Pierre,Louarn Marine Le,Heremans Stien,May Roel,Roche Philip,Luque Sandra

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference76 articles.

1. Using distribution models to test alternative hypotheses about a species’ environmental limits and recovery prospects;Anderson;Biol. Conserv.,2009

2. Five (or so) challenges for species distribution modelling;Araújo;J. Biogeogr.,2006

3. Validation of species–climate impact models under climate change;Araújo;Glob. Change Biol.,2005

4. Standards for distribution models in biodiversity assessments;Araújo;Sci. Adv.,2019

5. Disentangling the relative effect of light pollution, impervious surfaces and intensive agriculture on bat activity with a national-scale monitoring program;Azam;Landscape Ecol.,2016

Cited by 20 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. Invasive alien plants in the Qinghai-Tibetan Plateau (China): Current state and future predictions;Ecological Indicators;2024-09

2. Bias correction in species distribution models based on geographic and environmental characteristics;Ecological Informatics;2024-07

3. No optimal spatial filtering distance for mitigating sampling bias in ecological niche models;Journal of Biogeography;2024-04-25

4. Assessing the Vulnerability of Medicinal and Aromatic Plants to Climate and Land-Use Changes in a Mediterranean Biodiversity Hotspot;Land;2024-01-24

5. Effective strategies for correcting spatial sampling bias in species distribution models without independent test data;Diversity and Distributions;2024-01-08