Habitat‐based statistical models for predicting the spatial distribution of butterflies and day‐flying moths in a fragmented landscape

By Matthew J. R. Cowley, Robert J. Wilson, J. León-Cortés, David Gutiérrez, C. Bulman, Christopher M Thomas. 2000

130 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/2e12d83cf903418476634e5c5f96a18f61dd2abf

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In Ecological Modeling

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Citations in the corpus

Modelling habitat and spatial distribution of an endangered longhorn beetle - A case study for saproxylic insect conservation (2007, methodology): “Binary logistic regression with backwards, stepwise variable selection is a common statistical method used in conservation biology to estimate occurrence probabilities in relation to predictors (Kleyer et al., 1999; Cowley et al., 2000).”
Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, background): “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”
Functional conservation units for the endangered Alcon Blue butterfly Maculinea alcon in Belgium (Lepidoptera: Lycaenidae) (2004, background): “In all sites, we counted the number of G. pneumonanthe plants and, if the butterfly was present, all M. alcon eggs, except for one site (Fonteintje) where, due to the very large number of plants, only about 1/3 of the G. pneumonanthe plants was counted.”
Modelling butterfly distribution based on remote sensing data (2002, background): “Some examples on butterflies are available for the use of relatively coarse habitat maps in predicting the distribution of insect species (Debinski & Brussard, 1994; Cowley et al., 2000).”
Regionalization of the avifauna of the Baja California Peninsula, Mexico: a parsimony analysis of endemicity and distributional modelling approach (2003, background): “However, considering the immense effort required to know the habitat requirements of each species, new algorithms and other informatic tools have been developed to generate potential distributions based on a species set of individual records (with latitude–longitude data) related to the environmenta”
A Quantitative Conservation Approach for the Endangered Butterfly Maculinea alcon (2004, background): “…to explain site occupancy on the basis of habitat characteristics, especially for butterflies and moths (e.g., Dennis & Eales 1997; Hanski 1999; Cowley et al. 2000; WallisDeVries 2001; Fleishman et al. 2002) but also for amphibians (Sjögren-Gulve & Ray 1996; Vos & Stumpel 1996; Guerry &…”
Spatially explicit, individual-based, behavioural models of the annual cycle of two migratory goose populations (2000, methodology): “…the speci®c questions addressed and the availability and quality of the data (Duncan 1978; Ginzburg et al. 1982; Bayliss 1989; Fogarty, Sissenwine & Cohen 1991; Burgman, Ferson & AkcË akaya 1993; Wanless et al. 1996; Cowley et al. 2000; Gaston et al. 2000; Petty et al. 2000; Sherratt et al. 2000).”
Absent or undetected? Effects of non-detection of species occurrence on wildlife-habitat models (2004, background): “E-mail address: wgu@inhs.purdue.edu (W. Gu). habitat selection patterns of unstudied populations and occurrence of species in poorly sampled areas (Pauley et al., 1993, Edwards et al., 1995, Cowley et al., 2000).”
Butterfly habitats, broad‐scale biotope affiliations, and structural exploitation of vegetation at finer scales: the matrix revisited (2004, background): “Previous research would suggest that this is the case (Brakefield, 1982; Brakefield & Emmet, 1990; Dennis, 2000; Merckx & Van Dyck, 2002).”
Evaluating presence-absence models in ecology: the need to account for prevalence (2001, background): “In all these cases, quantitative distribution models are important (Collingham et al . 2000; Cowley et al . 2000; Milsom et al . 2000; Suarez, Balbontin & Ferrer 2000; Wadsworth et al . 2000).”
Ecology of butterflies in Europe (2009, background): “v) Prediction of species distributions (Dennis & Eales, 1999; Cowley et al., 2000; Fleishman et al., 2001) as well as species richness and biodiversity hotspots (Maes et al.”