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"Avian responses to fire regimes in montane dry sclerophyll forests of " by Michael John Macquarie Franklin

Wildfires are becoming larger and more frequent in forests under climate change, with corresponding increases in area burnt recently and at high-severity. Australian fire regimes are changing rapidly, but the implications for fauna are poorly understood. The first of two overarching aims of this research was to increase understanding of the mechanisms and processes that underpin avian responses to fire regimes in montane dry sclerophyll forests of south-eastern Australia. The second was to investigate the implications of altered fire regimes for birds through evaluation of their responses where fire activity is currently high. ....

Acoustic Survey , Avian Ecology , Bayesian Inference , Dry Sclerophyll Forest ,

Marine Notice: Acoustic Survey in Celtic Sea South of Kilmore Quay

The Bangor University survey is due to commence on Tuesday 23 August and finish on Monday 5 September, weather allowing ....

Coastal Notes , Marine Notice , Acoustic Survey , Celtic Sea ,

"Forest avifauna exhibit enduring responses to historical high-severity" by Michael J.M. Franklin, Richard E. Major et al.

Forest fire size, frequency and severity are increasing worldwide, with corresponding reductions in long-unburnt habitat and greater modification of forest structure over wider areas. Understanding the implications for animals is imperative in optimizing management for species persistence and overall biodiversity. We investigated how avian responses to historical high-severity fire differ in forests at short (five years) and mid-range (16 years) time since fire, including whether increased time since fire mitigates any negative responses to high-severity fire. Sites were established in fire-prone dry forests of the Greater Blue Mountains World Heritage Area, Australia. A Bayesian latent variable analysis of bird data obtained from acoustic recordings was used to estimate the occurrence of 74 species in relation to time since fire (short, mid-range), the spatial extent of historical high-severity fire (limited, extensive), and their interaction. Time since fire influenced the number of ....

Greater Blue Mountains World Heritage Area , Acoustic Survey , Bayesian Inference , Fire Severity , Forest Birds , Latent Variable Model , Ime Since Fire ,