Distribution patterns in butterflies and birds of the Czech Republic: separating effects of habitat and geographical position
By David Storch, M. Konvička, J. Benes, J. Martínková, Kevin J. Gaston. 2003
108 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/d7a7e84ad114bd587ddaa0e40bc1654c59840c74
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
- Ross K. Meentemeyer
- Tomás Václavík
- Miguel B. Araújo
- Pedro Segurado
- W. Kunin
- Jane Elith
- Wilfried Thuiller
- John A. Kupfer
In Ecology, Evolution, Behavior and Systematics
- G. Weiblen
- Tomás Václavík
- Ross K. Meentemeyer
- W. Kunin
- David Storch
- V. Novotný
- Pedro Segurado
- A. L. Šizling
In Nature and Landscape Conservation
- Miguel B. Araújo
- Ross K. Meentemeyer
- Tomás Václavík
- Pedro Segurado
- W. Kunin
- G. Weiblen
- Wilfried Thuiller
- John A. Kupfer
Citations in the corpus
- From communities to continents: beta diversity of herbivorous insects (2005, background): “2001), on latitudinal and longitudinal gradients in species richness (Storch et al. 2003), as well as regional species lists for comparison with local communities.”
- Power‐law species–area relationships and self‐similar species distributions within finite areas (2004, background): “The difference was 0.26 ± 0.19 for BD and 0.09 ± 0.19 for pBD. Figure A1 The first three stages of the construction of a random self-similar distribution, which was used for the testing the hypothesis that the spatial distribution of birds within the Czech Republic (CR) and central Europe (CE) can b”
- Consequences of spatial autocorrelation for niche‐based models (2006, methodology): “Patterns of species’ distributions may be spatially autocorrelated because of contagious population dynamics and historical factors, but they may also be the result of spatial structure among environmental predictors ( Storch et al. 2003 ).”
- Accounting for multi‐scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) (2012, background): “While the origins and scales of spatial dependence in biogeographical observations are manifold, two types of factors are commonly recognized: (1) exogenous factors associated with broad-scale spatial trends in underlying environmental conditions, and (2) endogenous factors caused by local-scale pro”