Butterfly species richness in mainland Portugal: predictive models of geographic distribution patterns

By Joaquín Hortal, P. Garcia-Pereira, E. García‐Barros. 2004

98 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f3316db4a1717ee891db09fef07a5e50f6b2e94a

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

An elevational shift in butterfly species richness and composition accompanying recent climate change (2007, methodology): “As a first measure of sampling effort at each site, we calculated the rate of species accumulation per individual on the final visit (Gotelli & Colwell, 2001; Hortal et al., 2004).”
The effect of prevalence and its interaction with sample size on the reliability of species distribution models (2009, background): “Whenever possible, reliable absences can also be obtained from places with well-known inventories (see, e.g., Hortal et al. 2004, 2007) where the absence of a non-reported species can be determined with higher certainty.”
Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines (2007, background): “E-mail: j.elith@unimelb.edu.au © 2007 The Authors 266 Diversity and Distributions , 13 , 265–275, Journal compilation © 2007 Blackwell Publishing Ltd urgent need to manage and conserve biodiversity, there has been an increasing focus on their use in conservation planning — not only for estimating sp”
Spatial distribution and environmental correlates of Australian snubfin and Indo‐Pacific humpback dolphins (2006, background): “Because all approaches to reserve design and implementation implicitly assume some knowledge of the spatial distribution of organisms (Pressey and Cowling 2001), increased understanding of the spatial distribution of the species of interest should translate to opportunities for managing human activi”
An ED-based Protocol for Optimal Sampling of Biodiversity (2005, methodology): “These curves have been used as a tool to predict total species richness by extrapolating the function found to its asymptote, but its utility is still being debated (see for example Colwell and Coddington 1994; Gotelli and Colwell 2001; Willott 2001; Moreno and Halffter 2001; Hortal et al. 2004).”
Determinants of local spider (Araneidae and Thomisidae) species richness on a regional scale: climate and altitude vs. habitat structure (2007, methodology): “As inventories are almost always incomplete, and because the degree of incompleteness is variable, it is necessary to reduce the survey bias to obtain data that is as accurate and comparable as possible ( Hortal, 2004; Hortal et al. , 2004 ).”
Bias in freshwater biodiversity sampling: the case of Iberian water beetles (2008, unknown): “Collector’s curves are generally considered a good approach to evaluate the quality of inventories (Soberón & Llorente, 1993; Jiménez-Valverde & Hortal, 2003; Hortal et al ., 2004).”
Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges (2010, methodology): “Please cite this article as: Rocchini, D., et al., Remotely sensed spectral open challenges, Ecological Informatics (2010), doi:10.1016/j.ecoinf.201”
Ecology of butterflies in Europe (2009, background): “, 2001) as well as species richness and biodiversity hotspots (Maes et al., 2003; Hortal et al., 2004) on different spatial and temporal scales.”