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Titolo:
Modelling landscape distributions of large forest owls as applied to managing forests in north-east Victoria, Australia
Autore:
Loyn, RH; McNabb, EG; Volodina, L; Willig, R;
Indirizzi:
Arthur Rylah Inst, Dept Nat Resources & Environm, Heidelberg, Vic 3084, Australia Arthur Rylah Inst Heidelberg Vic Australia 3084 berg, Vic 3084, Australia Royal Melbourne Inst Technol Univ, Dept Stat & Operat Res, Melbourne, Vic 3001, Australia Royal Melbourne Inst Technol Univ Melbourne Vic Australia 3001 Australia Forests Serv, Dept Nat Resources & Environm, E Melbourne, Vic 3002, Australia Forests Serv E Melbourne Vic Australia 3002 elbourne, Vic 3002, Australia
Titolo Testata:
BIOLOGICAL CONSERVATION
fascicolo: 3, volume: 97, anno: 2001,
pagine: 361 - 376
SICI:
0006-3207(200102)97:3<361:MLDOLF>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEW-SOUTH-WALES; SPOTTED OWLS; LEADBEATERS POSSUM; CENTRAL HIGHLANDS; NINOX-STRENUA; POWERFUL OWL; ASH FORESTS; HABITAT; MANAGEMENT; CONSERVATION;
Keywords:
landscape ecology; models; owls; forest management; umbrella species; Ninox; Tyto;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
57
Recensione:
Indirizzi per estratti:
Indirizzo: Loyn, RH Arthur Rylah Inst, Dept Nat Resources & Environm, POB 137, Heidelberg, Vic3084, Australia Arthur Rylah Inst POB 137 Heidelberg Vic Australia3084 Australia
Citazione:
R.H. Loyn et al., "Modelling landscape distributions of large forest owls as applied to managing forests in north-east Victoria, Australia", BIOL CONSER, 97(3), 2001, pp. 361-376

Abstract

A landscape approach was taken to modelling distributions of large forest owls and conserving habitat for them in 1.2 million ha of forest on the Great Dividing Range in north-east Victoria, south-eastern Australia. Owls were surveyed using call playback at 472 sites. selected by stratified random sampling from geographical information system (GIS) data. Habitat data werecollected at each site and at four spatial scales from GIS data. Six owl species were recorded in or near the study region. Data on powerful owls (Ninox strenua) and sooty owls (Tyto tenebricosa) were modelled using logisticregression, and predicted probabilities of occurrence were mapped using GIS. Mapped variables explained more variation than habitat variables assessed at survey sites. Powerful owls were most likely to be observed at sites with mature dry forest, many live hollow-bearing trees, diverse habitats within 2 km, and not much pure regrowth within 5 km. Sooty owls were most likely to be observed at sites with wetter more senescent forest associated with tree-ferns (Cyathea australis and Dicksonia antarctica), blanket-leaf (Bedfordia arborescens) and silver wattles (Acacia dealbata), diverse habitatswithin 500 m and much senescent forest within 5 km. The models were field-tested and found to discriminate well between high and low probability sites. Actual records and then models were used to help select 225 protected areas for large owls, each of approximately 500 ha. (C) 2001 Elsevier ScienceLtd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/07/20 alle ore 23:00:47