Predicting the past distribution of species climatic niches.
By D. Nogués-Bravo. 2009
509 citations recorded by the source corpus.
Subfields: Ecological Modeling, Genetics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/999654ae98bf6cc8e5904b48a22974f5c62b531c
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
- Jorge M. Lobo
- Miguel B. Araújo
- Antoine Guisan
- Joaquín Hortal
- Wilfried Thuiller
- Jane Elith
- A. Jiménez‐Valverde
- A. Townsend Peterson
In Genetics
- Jorge M. Lobo
- Joaquín Hortal
- Miguel B. Araújo
- A. Jiménez‐Valverde
- Thiago Fernando Rangel
- Sara Varela
- A. Bunn
- E. DeChaine
In Nature and Landscape Conservation
- Jorge M. Lobo
- Antoine Guisan
- Miguel B. Araújo
- Wilfried Thuiller
- Joaquín Hortal
- Jens‐Christian Svenning
- A. Jiménez‐Valverde
- Jane Elith
Citations in the corpus
- Space can substitute for time in predicting climate-change effects on biodiversity (2013, background): “This approach pools community and climate data across multiple time periods and thus integrates across shifting niches, no-analog climates, and other factors to capture multiple realizations of community–climate relationships (49).”
- Applications and future challenges in marine species distribution modeling (2011, background): “(Nogues-Bravo, 2009; Rödder and Dambach, 2009).”
- Large carnivore expansion in Europe is associated with human population density and land cover changes (2021, background): “…(Ancillotto et al., 2016; Maiorano et al., 2013; NoguésBravo, 2009), thus reducing the niche underestimation due to limited or spatially biased observations, and preventing model extrapolation beyond the environmental space of the training dataset (Maiorano et al., 2013; Nogués-Bravo, 2009).”
- Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions (2013, methodology): “For this reason, the use of a single model algorithm and a single GCM to project changes in species distributions has been criticized (Nogu es-Bravo, 2009).”
- Palaeoclimatic models help to understand current distribution of Caucasian forest species (2012, background): “Nogués-Bravo (2009) emphasized that the majority of palaeodistribution reconstructions have not been tested using independent data.”
- Past tree range dynamics in the Iberian Peninsula inferred through phylogeography and palaeodistribution modelling: A review (2010, background): “However, an increasing number of studies is attempting to reconstruct past species distributions (Cheddadi et al., 2006; Martínez-Meyer and Peterson, 2006; Hilbert et al., 2007; Pearman et al., 2008; Rodríguez-Sánchez and Arroyo, 2008; see Nogués-Bravo, 2009 for a review).”
- Accounting for uncertainty when mapping species distributions: The need for maps of ignorance (2011, background): “SDMs have become widely accepted tools to predict realized and/or potential species distributions, forecast global change impacts on biodiversity, or hindcast the past distributions of extant and extinct species (see, e.g. Araújo and Guisan, 2006; Guisan and Thuiller, 2005; Guisan and Zimmermann, 20”
- Phylogenetic signals in the climatic niches of the world's amphibians (2010, background): “Phylogenetic niche conservatism can be defined as the tendency of closely related species to be more similar than expected based on phylogenetic relationships (Losos 2008a); put more broadly, it is the temporal constancy of the ecological niche (Pearman et al. 2008, Nogués-Bravo 2009).”
- Drawbacks to palaeodistribution modelling: the case of South American seasonally dry forests (2013, methodology): “Although the fossil record is also an important source of evidence of palaeodistributions, it is usually spatially and temporally sparse (Nogués-Bravo, 2009; Svenning et al., 2011; Varela et al., 2011).”