Conservatism of ecological niche characteristics in North American plant species over the Pleistocene‐to‐Recent transition
By E. Martínez‐Meyer, A. Townsend Peterson. 2006
214 citations recorded by the source corpus.
Subfields: Atmospheric Science, Ecological Modeling, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/c89717016b1403c876db364a47c4b766cdc979cf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- A. Hampe
- D. Nogués-Bravo
- Wilfried Thuiller
- Jorge M. Lobo
- Linda Beaumont
- S. Normand
- F. Rodríguez‐Sánchez
- J. Arroyo
In Ecological Modeling
- A. Townsend Peterson
- Jorge M. Lobo
- Wilfried Thuiller
- Miguel B. Araújo
- Jens‐Christian Svenning
- Joaquín Hortal
- Rune Halvorsen
- D. Nogués-Bravo
In Nature and Landscape Conservation
- Jorge M. Lobo
- Wilfried Thuiller
- A. Townsend Peterson
- Jens‐Christian Svenning
- Miguel B. Araújo
- Joaquín Hortal
- Jane Elith
- Antoine Guisan
Citations in the corpus
- Ecological niche modelling of montane mammals in the Great Basin, North America: examining past and present connectivity of species across basins and ranges (2009, background): “…time (for example from the LGM to the present) and space, which appears to hold true over a variety of case studies (e.g. Peterson et al., 1999; Peterson & Holt, 2003; Wiens & Graham, 2005; Martı́nez-Meyer & Peterson, 2006), and especially in mountain-dwelling taxa (Guralnick & Pearman, in press).”
- Ice age distributions of European small mammals: insights from species distribution modelling (2009, background): “If such models are then projected onto maps of LGM climatic conditions, the geographical distribution of suitable climatic conditions for the species during the LGM can be assessed (e.g. Cheddadi et al., 2006; Martı́nez-Meyer & Peterson, 2006; Carstens & Richards, 2007).”
- Distribution modelling and statistical phylogeography: an integrative framework for generating and testing alternative biogeographical hypotheses (2007, background): “Whereas recent work has demonstrated niche conservatism in several groups (Peterson & Vieglais, 2001; Martı́nez-Meyer et al., 2004; Kozak & Wiens, 2006; Martı́nez-Meyer & Peterson, 2006), it is not known whether this assumption holds true for most organisms.”
- Past and future range shifts and loss of diversity in dwarf willow (Salix herbacea L.) inferred from genetics, fossils and modelling (2009, background): “Species distribution models can, as a new approach, provide insights into past ranges and help to locate additional, potential refugial areas (Cheddadi et al ., 2006; Hijmans & Graham, 2006; Martínez-Meyer & Peterson, 2006).”
- Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles (2011, background): “…distributional ranges, such as identifying additional survey sites (Guisan et al., 2006), estimating niche conservatism (Peterson et al., 1999; Martı́nez-Meyer & Peterson, 2006), assessing species-range shifts caused by climate change (Araújo & Rahbek, 2006; Thuiller et al., 2006), 166…”
- Bayesian estimation of the global biogeographical history of the Solanaceae (2017, background): “This taxon sampling includes all but three of the 98 Solanaceae genera [Darcyanthus Hunz., Capsicophysalis Averett & M. Mart ınez and Tubocapsicum (Wettst.)”
- Environmental Niche Equivalency versus Conservatism: Quantitative Approaches to Niche Evolution (2008, methodology): “Peterson et al. (1999) and Martinez-Meyer and Peterson (2006) tested the ability of the model for species X to predict species Y by comparing the number of occurrences of Y correctly predicted from X, denoted cX(Y), to the number of correct predictions expected under a specific null hypothesis.”
- Applications of species distribution modeling to paleobiology (2011, background): “Notably, paleobiology provides an important background for testing predictive ability across time and under major climate change, forming a crucial basis for evaluating the ability of SDM to predict the biodiversity consequences of future climate change (Martínez-Meyer et al., 2004; Martínez-Meyer a”