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Draft National Wind Farm Development Guidelines - July 2010

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that it was first observed. Where more than one individual is seen simultaneously each bird<br />

provides a separate flight record.<br />

A utilisation rate should incorporate the amount of available flight time per annum for key<br />

species. This must account for variables of seasonal, diurnal/nocturnal and tidal cycles that<br />

may affect presence at the site and patterns of bird activity. In addition to truly nocturnal<br />

birds, many diurnal birds also fly during the hours of darkness.<br />

Visual counting by trained ornithological observers is the usual method employed for point<br />

count surveys of birds. Similar techniques may be applicable to visual counting of<br />

crepuscular flights of fruit bats and cave-dwelling bats as they fly from colony locations.<br />

However this method is not applicable to documenting truly nocturnal activities of birds or<br />

bats. It is also limited during daylight when weather conditions reduce visibility, and even<br />

due to observers’ capacity to detect birds over distance. Vertical and horizontal marine<br />

surveillance radar have been used to document diurnal and nocturnal birds and bat<br />

movements at some overseas wind farm sites (Johnson and Strickland 2003, 2004;<br />

EchoTrack 2005) and has potential for this application in Australia. Data from radar does<br />

not readily permit identification of species and generally requires calibration against<br />

simultaneous visual observation of birds during daylight hours, monitoring of the calls of<br />

nocturnal birds and use of acoustic bat detectors as means to identify species in flight.<br />

Representative sampling of bird and bat utilisation should encompass all variations that<br />

occur in the course of a year.<br />

Flight height<br />

Flight-height data for birds collected in the course of wind farm assessments in southeastern<br />

Australia indicates that many bird taxa rarely fly within rotor-swept height and that<br />

interactions with turbines by such taxa are thus unlikely (Biosis Research unpublished data).<br />

For these taxa assessment for collision risk will not be required other than for exceptional<br />

sites or circumstances. Liaison with relevant authorities should be undertaken to determine<br />

taxa that may not require assessment for a particular location.<br />

Data requiring heights of bird flights may require calibrated estimation of heights. More<br />

precise data for height above the ground may be obtained from vertical radar. Longrange<br />

thermal imaging and some range-finding technologies offer capacity to record<br />

distance from observer to a bird or bat and may allow height above ground to be derived<br />

from data records. However, such technologies are not without limitations which should be<br />

evaluated in determining whether they are applicable to a particular wind farm site. The<br />

cost and precision of such methods may also not be warranted in all situations. Flight<br />

heights or height estimates should be recorded rather than simple allocation of flight<br />

records to ‘below-‘, ‘within-, ‘above rotor-swept zone’. This permits data to be used for<br />

analysis regardless of any changes to turbine dimensions that might occur during planning<br />

of the wind farm.<br />

Site population census<br />

Collision risk modelling may require a census or estimation of the annual maximum<br />

numbers of individuals of key species that could encounter and interact with the turbine<br />

array. For birds, this may be obtained from appropriately designed simultaneous counts<br />

designed to document the complement of birds present across the site. Any available<br />

historical records of maximum numbers should also be taken into account. There is a<br />

substantial literature on bird census techniques and Bibby et al. (2000) provides a good<br />

introductory overview.<br />

Collision risk modelling<br />

Quantified collision risk modelling is a predictive mechanism used to project the annual<br />

number of flights made by key species that are at risk of collision and may thus result in<br />

fatalities. Inputs required to undertake such modelling include standardised bird utilisation<br />

data; number and geographic layout of turbines; and dimensions and other parameters of<br />

turbines. Pre-requisites for an outcome measured in terms of an expected annual number<br />

Page 138 <strong>Draft</strong> <strong>National</strong> <strong>Wind</strong> <strong>Farm</strong> <strong>Development</strong> <strong>Guidelines</strong> – 2 <strong>July</strong> <strong>2010</strong>

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