Species-specific traits associated to prediction errors in bird habitat suitability modelling
By J. Seoane, L. M. Carrascal, César Luis Alonso, David Palomino. 2005
100 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/c817dab49ed6d9846d0d251e9e98a46c6ad6a355
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
- Wilfried Thuiller
- Miska Luoto
- Risto Heikkinen
- Miguel B. Araújo
- Mathieu Marmion
- Jorge M. Lobo
- J. Pöyry
- A. Jiménez‐Valverde
In Ecology
- Wilfried Thuiller
- Miska Luoto
- Risto Heikkinen
- Lluís Brotons
- Miguel B. Araújo
- Mathieu Marmion
- Janet Franklin
- R. Kadmon
In Nature and Landscape Conservation
- Wilfried Thuiller
- Miska Luoto
- Risto Heikkinen
- Miguel B. Araújo
- Mathieu Marmion
- Jorge M. Lobo
- J. Pöyry
- Lluís Brotons
Citations in the corpus
- Species traits are associated with the quality of bioclimatic models (2008, background): “A similar result was obtained by Seoane et al. (2005), who observed a positive effect of easily detectable species in the accuracy of bird habitat models in Spain.”
- Updating bird species distribution at large spatial scales: applications of habitat modelling to data from long‐term monitoring programs (2007, background): “…traits associated to species ecology (i.e. range size and niche breadth) will be difficult to circumvent by either statistical approaches or increasing sampling effort and should always be kept in mind when conducting predictive habitat models for different species (Seoane et al., 2005).”
- Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) (2006, methodology): “An assessment of model performance can also provide a basis for comparing alternative modelling techniques (Loiselle et al . 2003; Segurado & Araujo 2004; Pearson et al . 2006) and enables the user to investigate how different properties of the data and/or the species affect the accuracy of predicti”
- The performance of state-of-the-art modelling techniques depends on geographical distribution of species. (2009, background): “For example, Seoane et al. (2005) showed that the predictive power of regression trees (RT) was highest when modelling species with high prevalence, and Dormann (2007) and Reineking and Schröder (2006) showed that different autologistic regression methods were severely impacted by the prevalence of…”
- Modelling invasion for a habitat generalist and a specialist plant species (2008, background): “…the range of B. tectorum, which has been a Diversity and Distributions, 14, 808–817, Journal compilation © 2008 Blackwell Publishing Ltd 812 No claim to original US government works concern with other generalist species (Dettmers et al., 2002; Hepinstall et al., 2002; Seoane et al., 2005).”
- Using species distribution models to predict new occurrences for rare plants (2009, background): “This is a challenge for SDMs because they are meant to identify the overall extent of a species’ range and may perform poorly if that range is heterogeneous or not well-sampled (Pearce et al., 2001; Seoane et al., 2005; McPherson & Jetz, 2007).”