Modelling landscape distributions of large forest owls as applied to managing forests in north-east Victoria, Australia

By R. Loyn, E. McNabb, L. Volodina, R. Willig. 2001

94 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/78006ad8dd75a580145c1157ba4d253c1d624b12

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

1. Brendan A. Wintle
2. T. Skartsi
3. George Stamou
4. M. McCarthy
5. Mark A. Burgman
6. Kostas Poirazidis
7. F. Sergio
8. V. Goutner

In Ecology

1. F. Sergio
2. P. Pedrini
3. L. Marchesi
4. P. Hammond
5. Brendan A. Wintle
6. M. Brambilla
7. T. Skartsi
8. George Stamou

In Nature and Landscape Conservation

1. F. Sergio
2. Brendan A. Wintle
3. T. Skartsi
4. P. Hammond
5. George Stamou
6. M. McCarthy
7. Mark A. Burgman
8. Kostas Poirazidis

Citations in the corpus

• Using habitat models to identify suitable sites for marine protected areas for harbour porpoises (Phocoena phocoena) (2010, methodology): “Information on species–habitat relationships is clearly important when designing and implementing protected areas (Hooker et al., 1999; Hyrenbach et al., 2000; Loyn et al., 2001; Cabeza et al., 2004; Rondinini et al., 2005; Louzao et al., 2006; Moilanen and Wintle, 2007; Hamaide et al., 2009).”
• GIS-models work well, but are not enough: Habitat preferences of Lanius collurio at multiple levels and conservation implications (2009, background): “Such multiscale approaches for modelling habitats are not new (Hall and Mannan, 1999; Luck, 2002), but studies involving analyses combining both GIS and on-ground variables are rare (Loyn et al., 2001; Gibson et al., 2004).”
• Integrating individual habitat choices and regional distribution of a biodiversity indicator and top predator (2004, background): “…restrict the extent of further survey areas (e.g. Johansson et al., 1994); (3) plan priority sites for species or biodiversity conservation (e.g. Loyn et al., 2001); (4) formulate further hypotheses to be tested, so as to investigate the causes of the non-occupation of habitat patches predicted…”
• ESTIMATING AND DEALING WITH DETECTABILITY IN OCCUPANCY SURVEYS FOR FOREST OWLS AND ARBOREAL MARSUPIALS (2005, background): “…survey effort required to detect the species in this study with, say, 90% confidence, is beyond the effort generally invested in most impact assessment, pre-logging, monitoring, and biodiversity surveys for these species (National Parks & Wildlife Service 1998, Anonymous 1999, Loyn et al. 2001).”
• Modelling nesting habitat as a conservation tool for the Eurasian black vulture (Aegypius monachus) in Dadia Nature Reserve, northeastern Greece (2004, background): “Recent studies suggest that the quantification of raptor habitat selection can make possible the prediction of species presence, and thus significantly contribute to the development of conservation measures for endangered species (Newton et al., 1981; Donazar et al., 1993; Austin et al., 1996; Ferre”