Collinearity in ecological niche modeling: Confusions and challenges
TLDR
It is concluded that Maxent is robust to predictor collinearity in model training, the strategy of excluding highly correlated variables has little impact because Maxent accounts for redundant variables, and coll inearity shift and environmental novelty can negatively affect Maxent model transferability.Abstract:
University of Arizona Office of Research, Discovery, and Innovation; Oklahoma State University [NSF-OCI 1126330]; University of Tennesseeread more
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A checklist for maximizing reproducibility of ecological niche models
TL;DR: A checklist to guide studies in reporting at least the minimum information necessary for ecological niche modelling reproducibility is proposed, offering a straightforward way to balance efficiency and accuracy.
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Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
Neftalí Sillero,Salvador Arenas-Castro,Urtzi Enriquez-Urzelai,Urtzi Enriquez-Urzelai,Cândida Gomes Vale,Diana Sousa-Guedes,Fernando Martínez-Freiría,Raimundo Real,A. Márcia Barbosa +8 more
TL;DR: A step-by-step guideline explaining best practices for calculating correlative ecological niche models considering their conceptual and statistical assumptions and limitations is presented.
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Mapping the potential of mangrove forest restoration based on species distribution models: A case study in China
Wenjia Hu,Yuyu Wang,Dian Zhang,Weiwei Yu,Guangcheng Chen,Tian Xie,Zhenghua Liu,Zhiyuan Ma,Jianguo Du,Bixiao Chao,Guangchun Lei,Bin Chen +11 more
TL;DR: The results showed that the MaxEnt model performed better than GARP in predicting potential mangrove distributions, and the RPI approach, which combines suitability and land use data, is proposed as a rapid estimator method for locating theoretically available areas for restoration.
References
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TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI
Fitting Linear Mixed-Effects Models Using lme4
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Very high resolution interpolated climate surfaces for global land areas.
Robert J. Hijmans,Susan E. Cameron,Susan E. Cameron,Juan L. Parra,Peter G. Jones,Andy Jarvis +5 more
TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
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Maximum entropy modeling of species geographic distributions
TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
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Gian-Reto Walther,Eric Post,Peter Convey,Annette Menzel,Camille Parmesan,Trevor J. C. Beebee,Jean-Marc Fromentin,Ove Hoegh-Guldberg,Franz Bairlein +8 more
TL;DR: A review of the ecological impacts of recent climate change exposes a coherent pattern of ecological change across systems, from polar terrestrial to tropical marine environments.