Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern
By Dan L. Warren, Amber N. Wright, Stephanie N. Seifert, H. B. Shaffer. 2014
287 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/4583941fbc6b622e439afa23f51a23c52bdb69a8
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In Ecological Modeling
In Ecology
In Public Health, Environmental and Occupational Health
Citations in the corpus
- kuenm: an R package for detailed development of ecological niche models using Maxent (2019, background): “Although recent contributions to the field have highlighted effects of model settings on final results ( Warren et al., 2014 ), parameters are still often selected based on simple protocols, and final models are generally constructed based on single parameterizations.”
- Predictor complexity and feature selection affect Maxent model transferability: Evidence from global freshwater invasive species (2020, methodology): “…Rödder et al., 2009), the identification of priority conservation areas for rare or threatened species (e.g., Breiner et al., 2015), quantification of climate change risks (e.g., Warren et al., 2014), and elucidating ecological processes driving species diversification (e.g., Acevedo et al., 2014).”
- ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models (2014, background): “…(e.g. Ara ujo & Guisan 2006; Elith, Kearney & Phillips 2010; Anderson & Gonzalez 2011; Elith et al. 2011; Warren & Seifert 2011; Ara- ujo & Peterson 2012; Merow, Smith & Silander 2013; Shche- glovitova & Anderson 2013; Syfert, Smith & Coomes 2013; Radosavljevic & Anderson 2014; Warren et al. 2014).”
- Effect of the Maxent model’s complexity on the prediction of species potential distributions (2016, unknown): “…位模型具有开放性、构建相对简单、所需参数较少 等特点, 从而被越来越多的学者所采用。与分子系 统学的发展历程不同, 生态位模型的广泛应用推动 着其理论基础不断向前发展, 其中生态位概念、生 态位与物种分布的关系、生态位模型与生态位的关 系等理论的丰富和发展是构建合理模型的重要基 础(Peterson & Soberón, 2012; 乔慧捷等, 2013; 朱 耿平等, 2013)。 生态位模型所模拟的物种分布朝着两个方向, 即现实分布和潜在分布, 它们在不同领域分别有着 广泛的应用。前者以模拟物种现实分布为目的, 模 型构建后不需要转移, 主要应用于保护区的界定和…”