Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling

By Simon Ferrier, Michael Drielsma, G. Manion, G. Watson. Biodiversity and Conservation, 2002

501 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d0ae06a30cfa15752fa78507727cdce82dfbe08e

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Citations in the corpus

Soil nutritional factors improve models of plant species distribution: an illustration with Acer campestre (L.) in France (2006, methodology): “Among existing techniques, generalized linear models (GLMs; McCullagh & Nelder, 1997) and generalized additive models (GAMs; Hastie & Tibshirani, 1997) are the most commonly used (e.g. Bio et al., 1998; Bio, 2000; Austin, 2002; Ferrier et al., 2002; Luoto et al., 2006).”
Improving generalized regression analysis for the spatial prediction of forest communities (2006, background): “…al., in press); spread of invasive species (Peterson, 2003); habitat loss and fragmentation (Opdam & Washer, 2004); biodiversity analysis from museum-based data (Graham et al., 2004); richness hotspots (Lehmann et al., 2002a; Moser et al., 2005); and reserve network design (Ferrier et al., 2002).”
Modelling species diversity through species level hierarchical modelling (2005, unknown): “See, for example, Ferrier et al. (2002) and references therein.”
Model‐based uncertainty in species range prediction (2006, methodology): “, 2006), conservation prioritization (e.g. Araújo & Williams, 2000; Ferrier et al., 2002; Raxworthy et al., 2003; Williams et al., 2005), range filling (Svenning & Skov, 2004), niche evolution (Peterson et al.”
The effect of species response form on species distribution model prediction and inference (2009, background): “The weight of site v in relation to site u can be defined as a function of geographical distance (Augustin et al., 1996; Osborne et al., 2001; Segurado et al., 2006) or environmental distance between the two sites (Augustin et al., 1998; Ferrier et al., 2002).”
Species’ Distribution Modeling for Conservation Educators and Practitioners (2010, methodology): “In many cases the model is used to ‘fill the gaps’ around known occurrences (e.g., Anderson et al., 2002a; Ferrier et al., 2002).”
ESTIMATING AND DEALING WITH DETECTABILITY IN OCCUPANCY SURVEYS FOR FOREST OWLS AND ARBOREAL MARSUPIALS (2005, methodology): “Advances in methods for analyzing binary data (e.g., McCullagh and Nelder 1989, Hanski 1994, Hall 2000, Ferrier et al. 2002) may also be partly responsible for the rise in presence/absence studies.”
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review (2007, background): “Usually, weight functions are related to geographical distance between data points (Augustin et al. 1996, Araújo and Williams 2000, Osborne et al. 2001, Brownstein et al. 2003) or environmental distance (Augustin et al. 1998, Ferrier et al. 2002).”
Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. (2015, background): “Under these circumstances, ‘community-level’ modelling strategies (Ferrier et al. 2002; Ferrier & Guisan 2006) may offer significant advantages.”
Spatial modelling of biodiversity at the community level (2006, methodology): “This idea underpins the recently developed technique of generalized dissimilarity modelling (GDM; Ferrier 2002; Ferrier et al. 2002), a non-linear extension of permutational matrix regression (Legendre et al. 1994).”
Connectivity, Probabilities and Persistence: Comparing Reserve Selection Strategies (2006, background): “To our knowledge, only Ferrier et al. (2002) and Cabeza (2003) have applied species-specific parameters to evaluate connectivity of the landscape in the context of multiple-species reserve design.”
Building statistical models to analyze species distributions. (2006, background): “Fortunately, there are useful review papers that organize and categorize model approaches (Guisan and Zimmermann 2000, Ferrier et al. 2002, Guisan et al. 2002).”