Modelling the distribution of bats in relation to landscape structure in a temperate mountain environment
By C. Jaberg, Antoine Guisan. 2001
204 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/958bc5cc29e9dd4888fc1532c928244420b7b55b
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
- Antoine Guisan
- Wilfried Thuiller
- Rune Halvorsen
- Jane Elith
- Jorge M. Lobo
- A. Hirzel
- N. E. Zimmermann
- Miguel B. Araújo
In Ecology
- Antoine Guisan
- Rune Halvorsen
- Jane Elith
- A. Hirzel
- Wilfried Thuiller
- Scott E. Nielsen
- Miguel B. Araújo
- N. E. Zimmermann
In Ecology, Evolution, Behavior and Systematics
- Antoine Guisan
- N. E. Zimmermann
- Anthony Lehmann
- U. Hofer
- Joshua B. Johnson
- A. Hirzel
- Orly Razgour
- Julia Hanmer
Citations in the corpus
- Shifts in bat community structure related to evolved traits and features of human-altered landscapes (2008, background): “The relationship between species of bats within a community and urban environments is often mixed (Jaberg and Guisan 2001; Gehrt and Chelsvig 2003, 2004).”
- Improving generalized regression analysis for the spatial prediction of forest communities (2006, methodology): “Jackknife has also been used (Jaberg & Guisan, 2001; Maggini et al., 2002), but for large data sets it is asymptotically equivalent to measures of agreement on the training data set.”
- Evaluating resource selection functions (2002, background): “A less satisfying but possibly necessary approach is simply to develop different RSF models for different seasons, years or localities ( Jaberg and Guisan, 2001 ).”
- Large-scale habitat selection by agricultural steppe birds in Spain: identifying species–habitat responses using generalized additive models (2002, background): “Such models are beginning not only to provide accurate predictions of distributions ( Jarberg & Guisan 2001 ) but also to answer ecological questions about habitat selection, the co-occurrence of species and competition between them (Leathwick & Austin 2001).”
- Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, methodology): “Reference Region Scope Verification Taxon Data1 Allouche et al. (2006) Israel Methodological Informal validation Plants P Anadón et al. (2007) Spain Species conservation Same data Reptiles P-A Anderson et al. (2002) Ecuador, Colombia, Venezuela Biogeography Partitioning Mammals P Araújo et al. (2005”
- Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study (2011, background): “…of to predict habitat suitability for species of conservation concern: The grey 1.08.010 bats, because their nocturnal nature, wide home ranges, and problems with identification, render it difficult to conduct comprehensive mapping of distributions (Jaberg and Guisan, 2001; Greaves et al., 2006).”
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data (2004, methodology): “In turn, such superiority of higher resolution predictors and less data might not be true for non-fixed organisms, as the required resolution for these is certainly dependent on a larger home range of target species, as suggested for bats by Jaberg & Guisan (2001).”
- Sampling period, size and duration influence measures of bat species richness from acoustic surveys (2012, methodology): “…detection of bats have been used to document activity patterns (Hayes 1997; Tibbels & Kurta 2003), resource use (Vaughan, Jones & Harris 1997; Williams, O’Farrell & Riddle 2006; Zukal & Rehak 2006), species rich- ness (Wickramasinghe et al. 2003) and species distribution (Jaberg & Guisan 2001).”
- Which is the optimal sampling strategy for habitat suitability modelling (2002, background): “However, many examples also exist of modelling studies based on heterogeneous data (mostly stored in biological data banks; see Margules and Austin, 1994), where no design could be set up prior to the sampling (e.g. Hausser, 1995; Franklin, 1998; Jaberg and Guisan, 2001).”
- The ghost of past species occurrence: improving species distribution models for presence-only data (2006, methodology): “Each model run was evaluated using a leave-one-out jack-knife procedure (Manly 1997; Guisan & Zimmermann 2000; Jaberg & Guisan 2001 ).”
- Generalized linear and generalized additive models in studies of species distributions: setting the scene (2002, background): “…plant species (Lehmann 1998), of terrestrial animal species (Pereira & Itami 1991, Augustin et al. 1996, Manel et al. 1999, Guisan & Hofer 2001, Jaberg & Guisan 2001, Zimmermann & Breitenmoser 2002), of birds (Manel et al. 1999, 2000), of aquatic animal species (invertebrates; Manel et al.…”
- GIS-models work well, but are not enough: Habitat preferences of Lanius collurio at multiple levels and conservation implications (2009, background): “The habitat suitability maps so obtained can be used to facilitate conservation, increment or restoration of critical habitats and have broad use in conservation biology and wildlife management (Manel et al., 1999; Jaberg and Guisan, 2001; Gibson et al., 2004).”
- Predicting reptile distributions at the mesoscale: relation to climate and topography (2003, methodology): “…original data set cannot be split into subsets for 2003 Blackwell Publishing Ltd, Journal of Biogeography, 30, 1233–1243 calibration and evaluation, resampling techniques, such as Jackknife or cross-validation, provide an alternative approach for evaluating the model (e.g. Jaberg & Guisan, 2001).”