Spatial and environmental determinants of vascular plant species richness distribution in the Iberian Peninsula and Balearic Islands

By Jorge M. Lobo, I. Castro, J. Moreno. 2001

202 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/bc6d7ffc4cc36b6b0821e834fdf38e855ec473e5

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Citations in the corpus

Ecogeographical land characterization maps as a tool for assessing plant adaptation and their implications in agrobiodiversity studies (2012, background): “…variables (Allard 1996; Pérez de la Vega 1996; Ceballos-Silva and LópezBlanco 2003; Ferguson et al. 2005), edaphic variables (Marchand 1973; Lobo et al. 2001; Ceballos-Silva and López-Blanco 2003; Jarvis et al. 2006), and geophysical variables (Nichols et al. 1998; Lobo et al. 2001;…”
Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity (2010, background): “These models have wide relevance in conservation biology (Araújo et al. 2005b; Rissler et al. 2006), biogeography (Lobo et al. 2001; Luoto et al. 2006; Richards et al. 2007), reserves design (Araújo & Williams 2000; Margules & Pressey 2000; OrtegaHuerta & Peterson 2004) and climate change…”
Refugia within refugia – patterns in endemism and genetic divergence are linked to Late Quaternary climate stability in the Iberian Peninsula (2014, background): “Indeed, many other factors than Pleistocene climatic changes and contemporary climatic conditions can also be influencing the current patterns of endemism in this region, such as topography, habitat heterogeneity or lithology (see Lobo et al., 2001).”
Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions (2018, background): “Recent approaches to partition the variation build on comparison of pure biotic, pure environmental, and joint environmental and biotic models (e.g., de Ara (cid:2) ujo, Marcondes-Machado, & Costa, 2014; Lobo, Castro, & Moreno, 2001; Meier et al., 2010).”
An ED-based Protocol for Optimal Sampling of Biodiversity (2005, background): “…the continuous p-median form, although the spatially-dependent variation present in the data must be taken into account to separate the effect of non-environmental spatially-structured factors (see Borcard et al. 1992, Legendre and Legendre 1998, Lobo et al. 2001, 2002, and Legendre et al. 2002).”
The influence of paleoclimate on present-day patterns in biodiversity and ecosystems (2015, background): “…to modern environments may themselves also include a paleoclimatic signal as geographic and topographic climate configurations themselves have long histories (cf. Ruddiman 2014), as discussed in several studies (Lobo et al. 2001, Svenning & Skov 2007, Svenning et al. 2008a, Wiens & Donoghue 2004).”
Diversity and community composition of butterflies and odonates in an ENSO-induced fire affected habitat mosaic: a case study from East Kalimantan, Indonesia (2004, unknown): “Borcard et al. (1992), Lobo et al. (2001) and Tuomisto et al. (2003) described the variance partitioning.”
Modelling the species richness distribution of French dung beetles (Coleoptera, Scarabaeidae) and delimiting the predictive capacity of different groups of explanatory variables (2002, background): “As manipulative experiments and causal modelling are almost impossible approximations in the case of coarser spatial scale studies, factors correlated with the number of species provide the starting point for the identification of factors that might possibly explain geographical species richness pat”
Parsimony analysis of endemicity and its application to animal and plant geographical distributions in the Ibero‐Balearic region (western Mediterranean) (2002, background): “In fact, an objective con®rmation for a correlation between plant diversity and elevational range in the Iberian Peninsula has recently been presented by Lobo et al. (2001), and similar results have been published for at least some insect taxa (MartõÂn & Gurrea, 1990).”
Improving generalized regression analysis for the spatial prediction of forest communities (2006, methodology): “A partial regression analysis using detrending techniques was used by Lobo et al. (2001) and Nogués-Bravo & Martinez-Rica (2004) in the context of species-richness modelling.”
Butterfly species richness in mainland Portugal: predictive models of geographic distribution patterns (2004, methodology): “Thus, no direct causal relationships can be demonstrated with the regression methodology used (Austin et al. 1996, Lobo et al. 2001).”