Niches and distributional areas: Concepts, methods, and assumptions
By Jorge Soberón, Miguel Nakamura. Proceedings of the National Academy of Sciences of the United States of America, 2009
1,236 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/5878d230c707bbc7ff36bb2721fe3278ca6a4410
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
- Miguel B. Araújo
- A. Townsend Peterson
- Jane Elith
- Jorge M. Lobo
- Wilfried Thuiller
- Antoine Guisan
- Jorge Soberón
- R. P. Anderson
In Ecology
- Jane Elith
- Wilfried Thuiller
- A. Townsend Peterson
- Jorge M. Lobo
- Miguel B. Araújo
- Jorge Soberón
- Antoine Guisan
- R. P. Anderson
In Nature and Landscape Conservation
- Wilfried Thuiller
- Miguel B. Araújo
- Jorge M. Lobo
- Antoine Guisan
- A. Townsend Peterson
- Jane Elith
- Jorge Soberón
- R. P. Anderson
Citations in the corpus
- Use of niche models in invasive species risk assessments (2011, background): “This fact hinders full estimation of the FN of species and thus also of their potential distributions (Colwell and Rangel 2009; Rödder et al. 2009; Soberón and Nakamura 2009; Godsoe 2010), which constraints dramatically both the types of data and the techniques that can be used to built useful…”
- How do species interactions affect species distribution models (2012, background): “Recent theoretical work formalizes this idea by showing analytically that SDMs can estimate the probability that an environment is a part of the niche (Soberon and Nakamura 2009, Godsoe 2010a).”
- Food‐web structure varies along environmental gradients in a high‐latitude marine ecosystem (2018, neutral): “2009, Soberón and Nakamura 2009).”
- Niche and area of distribution modeling: a population ecology perspective (2010, methodology): “…scenarios (Soberón and Peterson 2005), it should be clear that ENM cannot be properly interpreted without careful consideration of the features of the algorithm used (Hirzel and Le Lay 2008, Jiménez-Valverde et al. 2008, Soberón and Nakamura 2009) and of the ecological setting (Austin 2002).”
- Ecological niche shifts and environmental space anisotropy: a cautionary note (2011, background): “…and NR can be measured in terms of their position, shape and size (Jackson and Overpeck, 2000; Pearman et al., 2007; Rangel et al., 2007); what matters most from the perspective of niche conservatism is whether the position of NF within E is changing, and at what speed (Soberón and Nakamura, 2009).”
- When and how should biotic interactions be considered in models of species niches and distributions? (2017, background): “Relevant interactors whose populations are affected by the focal species (i.e. are linked to it) must be taken into account in other ways, rather than being used as predictor variables in a niche/distributional model of suitability or presence (Grinnellian niches of Sober on, 2007, 2010; Fig.”
- Hypervolume concepts in niche‐ and trait‐based ecology (2018, methodology): “This can lead to large biases in probabilistic models, and/or inadvertent conditioning of probability distributions on certain sets of conditions, e.g. available environments or species presence (Soberón and Nakamura 2009).”
- Comparing sample bias correction methods for species distribution modeling using virtual species (2021, background): “Studies using SDM rarely incorporate biotic factors, and instead often mix observational occurrence records from realized niches with environmental data describing fundamental niche properties, especially when scenopoetic variables are the only type considered (Soberón and Nakamura 2009).”
- Do joint species distribution models reliably detect interspecific interactions from co‐occurrence data in homogenous environments? (2018, background): “The importance of abiotic factors has long been recognized (Pulliam 2000, Chase and Leibold 2003, Soberón and Nakamura 2009), and correlative species distribution models (SDMs) that relate species’ occurrence to prevailing environmental factors have become the most widely used tools in biogeography…”
- Assessing species climatic requirements beyond the realized niche: some lessons mainly from tree species distribution modelling (2017, background): “See Austin (2007), and Soberón and Nakamura (2009) for more about niches and distributional areas.”
- Global patterns in the shape of species geographical ranges reveal range determinants (2012, background): “…assumption is that 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…”
- Using species distribution models in paleobiogeography: A matter of data, predictors and concepts (2011, methodology): “The potential distribution of a species can be partially estimated from observed occurrences by means of a Multidimensional Enveloping procedure (MDE; see Busby, 1986), taking into account that: (i) the species may be able to survive outside the environmental conditions provided by the observed loca”
- Fine‐scale environmental variation in species distribution modelling: regression dilution, latent variables and neighbourly advice (2011, background): “…account for the differences between observed species distributions (realised niches) and potential distributions (fundamental niches) (Soberón 2007; Soberón & Nkamura 2009) that are generated by process errors such as populations dynamics, spatial dynamics and biotic interactions…”
- Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles (2011, background): “When an SDM aims at geographically representing the environmental niche of a species, such a representation can be called a potential distribution (Jiménez-Valverde et al., 2008; Soberón & Nakamura, 2009).”
- Climatic niche at physiological and macroecological scales: the thermal tolerance–geographical range interface and niche dimensionality (2014, background): “If one factor falls short of the others, the species will fail to accomplish its potential distribution, and the characterization of any of these factors from the observed distribution of the species will be distorted (see Soberón, 2007; Soberón & Nakamura, 2009; Hortal et al., 2012).”
- Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right (2012, background): “…world has emphasized that their focus is on a subset of all ecological niche dimensions that is defined in coarse-resolution dimensions that are relatively unlinked to (i.e., not affected by) the population processes of the species in question (Soberón 2007; Soberón & Nakamura 2009; Soberón 2010).”