Habitat size and number in multi-habitat landscapes: a model approach based on species-area curves
By E. Tjørve. 2002
47 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/011410b837c2a5bb3cbf7cfd99147ba8604fa483
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
- K. A. Triantis
- E. Tjørve
- Thomas Wohlgemuth
- Anna M. Hersperger
- Thomas Koellner
- K. Vardinoyannis
- Konstadia Lika
- M. Weiser
In Ecology, Evolution, Behavior and Systematics
- K. A. Triantis
- Thomas Wohlgemuth
- Anna M. Hersperger
- Thomas Koellner
- E. Tjørve
- K. Vardinoyannis
- Konstadia Lika
- M. Mylonas
In Nature and Landscape Conservation
- K. A. Triantis
- E. Tjørve
- Thomas Koellner
- Thomas Wohlgemuth
- Anna M. Hersperger
- K. Vardinoyannis
- Konstadia Lika
- M. Weiser
Citations in the corpus
- Species richness, environmental heterogeneity and area: a case study based on land snails in Skyros archipelago (Aegean Sea, Greece) (2005, background): “At least four models have been proposed that attempt to combine the effects of area and habitat diversity on species richness (Buckley, 1982; Rafe et al., 1985; Tjørve, 2002; Triantis et al., 2003).”
- A model for the species–area–habitat relationship (2003, unknown): “In this direction at least three models have been proposed (Buckley, 1982; Rafe et al., 1985; Tjørve, 2002).”
- Rarefaction method for assessing plant species diversity on a regional scale (2004, methodology): “According to Tjørve (2002b), recent research has suggested that species area curves are sigmoid (e.g. logistic function, Hill function, or Lomolino function) with an upper asymptote (He and Legendre 1996, Lomolino 2000).”
- Shapes and functions of species–area curves (II): a review of new models and parameterizations (2009, methodology): “One remedy for this is to modify the model by replacing log x with log(1 + x) (e.g. Tjørve, 2002), which gives a + b log(1 + x).”