Use of niche models in invasive species risk assessments

By A. Jiménez‐Valverde, A. Townsend Peterson, Jorge Soberón, J. Overton, P. Aragón, Jorge M. Lobo. Biological Invasions, 2011

804 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology

View Paper: https://www.semanticscholar.org/paper/58ca429e60d440a275113fc81c925b8619771309

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

In Ecology

Citations in the corpus

Selecting predictors to maximize the transferability of species distribution models: lessons from cross‐continental plant invasions (2017, methodology): “This systematic approach including many of the most widespread Holarctic plant 283 invaders offers strong support to previous discussions raised from more case-specific review 284 (Jiménez-Valverde et al., 2011).”
Potential distribution range of invasive plant species in Spain (2012, background): “Theoretically, modelling the potential distribution range of an alien species should be based on climate matching envelopes build with information from the native range where the species is at equilibrium (Jiménez-Valverde et al. 2011).”
Beyond climate: disturbance niche shifts in invasive species (2015, background): “Evidence is mounting that estimations of invasion risk should not assume niche conservatism (Fitzpatrick et al., 2007; Gallagher et al., 2010) but rather incorporate multiple niche dimensions in both native and introduced ranges (Broennimann & Guisan, 2008; Jiménez-Valverde et al., 2011).”
Using species distribution models in paleobiogeography: A matter of data, predictors and concepts (2011, methodology): “Thus, we stress that discrimination techniques and similar procedures should be avoided for estimating the past distribution of species, because they are quite likely to underestimate their potential distribution (see Jiménez-Valverde et al., 2011).”
Effect of the Maxent model’s complexity on the prediction of species potential distributions (2016, neutral): “…approach) 模型和相关性方案 (correlative approach)模型两种(Soberón & Peterson, 2005; Kearney et al, 2010)。实验机理性方案指的是通过实验测试物种的生理耐受性来推断物种在地理空间中的分布; 相关性方案生态位模型将地理空间和生态空间联系起来, 利用物种已知的分布数据和相关环境变量, 根据一定的算法来构建模型, 判断物种的生态需求, 并将运算结果投射到不同的时间或地理空间中来预测物种的现实分布(realized distribution)和潜在分布(potential…”
Risk Analysis and Bioeconomics of Invasive Species to Inform Policy and Management (2016, neutral): “, the species’ potential distribution (119).”
Variation in niche and distribution model performance: The need for a priori assessment of key causal factors (2012, background): “Since 1990, growth in numbers of papers published in these fields has been almost exponential (Lobo et al., 2010). The following is a summary of relevant conceptual points, which are developed in greater detail in Peterson et al. (2011). The typical correlational methods for SDM and ENM are based on”
Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate (2020, methodology): “Workflow proposals for the risk assessment of plant invasion using SDM–GIS coupling have been documented in previous studies (Jiménez-Valverde et al., 2011; Liang et al., 2014).”
Plant invasions are context‐dependent: multiscale effects of climate, human activity and habitat (2014, background): “The effects of climate, human activity and habitat type on plant invasions are likely interactive rather than additive, further complicating efforts to understand the relative importance of different drivers of invasion (Catford et al., 2009; Jiménez-Valverde et al., 2011).”
kuenm: an R package for detailed development of ecological niche models using Maxent (2019, background): “many potential applications in conservation planning (Franklin, 2013), climate change impacts (Searcy & Shaffer, 2016), biological invasions (Jiménez-Valverde et al., 2011), and the geography of disease transmission risk (Peterson, 2014), among others.”
Predicting distributions of invasive species (2013, methodology): “A model fit in one region cannot be guaranteed to predict reliably in another region that has different correlations between variables (Dormann et al., 2013; Elith et al., 2010; Jiménez-Valverde et al., 2011;).”
Global patterns in the shape of species geographical ranges reveal range determinants (2012, background): “…observed occurrences of species are often expected to represent the range of climate values that the species can tolerate (Sobero´n & Nakamura, 2009; Jime´nez-Valverde et al. , 2011), although the degree to which this expectation is true varies with the degree to which the species current…”