Grinnellian and Eltonian niches and geographic distributions of species.

By Jorge Soberón. Ecology Letters, 2007

1,840 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Plant Science

View Paper: https://www.semanticscholar.org/paper/92f733fe4697fba863ff01fcdbff61fcec5d0c3a

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Citations in the corpus

A network approach for inferring species associations from co-occurrence data (2016, background): “If species interact with each other or share resource or scenopoetic requirements (Soberón 2007) not adequately described”
Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity (2015, background): “We define the Hutchinsonian shortfall as lack of knowledge about the tolerance of species to abiotic conditions—their Grinnellian niche (sensu Soberón 2007).”
Adapting to climate change: a perspective from evolutionary physiology (2010, background): “…and how additional biological mechanisms might be incorporated to improve their utility (e.g. Pearson & Dawson 2003, Elith et al. 2006, Hijmans & Graham 2006, Brooker et al. 2007, Soberón 2007, Sutherst et al. 2007, Beale et al. 2008, Jeschke & Strayer 2008, Keith et al. 2008, Elith & Graham 2009).”
The bioclimatic envelope of the wolverine (Gulo gulo): do climatic constraints limit its geographic distribution? (2010, background): “…et corrélons ces facteurs climatiques avec des données géographiques spatiales sur les emplacements des terriers de gloutons et les sites de télémétrie en Amérique du Nord et en Fennoscandie, ainsi qu’avec notre compréhension actuelle de l’aire de répartition circumboréale du glouton.”
Temperature dependence of the reproduction niche and its relevance for plant species distributions (2012, neutral): “…use Hutchinson’s niche definition [e.g. correlative species distribution models (SDMs): Guisan & Zimmermann, 2000; Guisan & Thuiller, 2005; Soberón, 2007], although some use Rosenzweig’s definition (Chuine & Beaubien, 2001; Règnière et al., 2009; Kearney et al., 2010; Dormann et al.,…”
Uses and misuses of bioclimatic envelope modeling. (2012, background): “…bioclimatic envelope models estimate potential distribu- tions (i.e., the geographic projection of the estimated realized niches of species), rather than the occupied distributional area of the species (Araújo and Guisan 2006, Soberón 2007, 2010, Hirzel and Lay 2008, Soberón and Nakamura 2009).”
Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (2009, background): “The ecological niche has become a central theme in species distribution modelling (Kearney 2006; Soberon 2007; Pearman et al. 2008).”
Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics (2018, background): “It is generally assumed that climate is the main driver of species distributions at large spatial scales (Sober on, 2007).”
Predicting potential distributions of invasive species: where to go from here? (2010, background): “potential distribution (Soberon, 2007)? Ideally, the HSM should predict the fundamental niche of the invader and not”
Multi-model ensemble projections of climate change effects on global marine biodiversity (2015, background): “In reality, if these data only reflect a subset of a species’ true niche space due to the impact of, for example, adaptation, species interactions, and dispersal on a species’ distribution, both the estimated climatic envelope, and the way that it might be projected to estimate a potential current o”