Progressing our understanding of Rhinonicteris over the past 18 years - - PowerPoint PPT Presentation

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Progressing our understanding of Rhinonicteris over the past 18 years - - PowerPoint PPT Presentation

Progressing our understanding of Rhinonicteris over the past 18 years Dr Kyle Armstrong How far we have come Postgraduate Research at UWA Field surveys distribution, habitat use and spatial pop structure Phylogeographic and


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Progressing our understanding of Rhinonicteris over the past 18 years

Dr Kyle Armstrong

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How far we have come

Postgraduate Research at UWA

  • Field surveys – distribution, habitat use and spatial pop structure
  • Phylogeographic and taxonomic comparisons

Rise of acoustic surveys with AnaBat

  • Project specific surveys
  • Monitoring studies

Reinventing acoustic surveys with ‘full spectrum’

  • Balancing expediency and accuracy in analysis
  • Automated and semi-automated approaches
  • New standards needed

Mixing research with mining

  • Population genetic studies

Contributing to conservation and management

  • BAP, MAP, SPRAT, Commonwealth survey guidelines

Postdoctoral work

  • Resolving taxonomic status  ABRS
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Field surveys – distribution, habitat use and spatial pop structure

(Armstrong 2000, 2001, 2003; Armstrong and Anstee 2000)

Postgraduate Research

Data from Armstrong 2003 PhD thesis; KN Armstrong and Gaia Resources unpub ms

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  • Pilbara high freq phonic type

(Armstrong and Coles 2007, Armstrong and Kerry 2011)

  • Some subtle morphological differences

(Armstrong 2002, 2005)

  • Previous genetic work (mtDNA) showed

some genetic divergence (Armstrong 2006) Taxonomy

  • Bat Action Plan, EPBC Listing

Postgraduate Research

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  • First comprehensive acoustic surveys were undertaken for

several clients between 2001 – 2003 by Biota Environmental Sciences

  • AnaBat-based surveys became the standard in the

following years

  • Monitoring studies with BHP Billiton, Atlas Iron, Rio Tinto

Iron Ore based on comprehensive standardised approach

  • Monitoring during drilling programmes

(Armstrong 2010)

Rise of acoustic surveys with AnaBat

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Inferring usage from activity

Possible roosting – peaks after dusk, much activity before dawn. High

  • importance. Permanent diurnal roost,

transient diurnal roost, maternity roost. Drinking? – visiting pool before foraging, before roosting. Important for maintaining presence, useful for monitoring. Not necessarily a diurnal roost. Night roost – low level visitation during the night, refuge for resting? Lowest activity. Less critical habitat, but of value. Night roost.

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Advantages

  • Good mic zone of reception, esp. for ultra-high frequency bats
  • Greater sensitivity, all things considered
  • Better resolution of calls for Rhinonicteris and Macroderma, harmonics for
  • thers, some still difficult
  • Several brands and models available
  • Lots of functionality with accompanying software

Challenges

  • Many gigabytes of data to analyse in short timeframes, similar budget
  • expectation. Balancing expediency and accuracy in analysis
  • Careful consideration of the effects of
  • sensitivity settings,

 thresholding and parsing

  • filter use,

 file scrubbers,

  • format conversion, and
  • ther automated processes including for species-level identification.
  • New standards needed  ABS
  • Principles of good survey design

Reinventing acoustic surveys with ‘full spectrum’

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Auto-manual hybrid process

  • Download and convert WAC to WAV
  • SoundID – non-trivial
  • Visual Basic script in Excel for data

management

  • Manual checking of each marked WAV for

target

  • Compile and graph
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Automated analysis in SoundID

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Example monitoring project

(Atlas Iron)

  • About 750 GB (3 weeks from 6 units)
  • 290,532 WAVs (5 sec or less)
  • 519,803 hits (above 100 kHz)
  • 520 matches
  • 244 WAVs with matches
  • 100 WAVs with target
  • CPU time 179 hours = 22 office days
  • More for a person
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Small benchmark test

  • 16,000 WAV files
  • Manual searching for Rhinonicteris
  • Gave 76 WAV, 0% false neg/pos
  • Automated SoundID analysis 39% detection
  • Convert to ZCA 29% detection
  • Improved with a new SoundID version, improved
  • ptimisation, 70% detection
  • But auto detection rate back to 30% (13,000 file test set) in
  • pen habitat rather than cave entrance
  • ZCA from Kaleidoscope had greater detection than SoundID.

But not appropriate for cave entrances.

  • Similar patterns between WAV and ZCA, both better than

recording in ZCA with AnaBat equipment.

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  • Connectedness of colonies, population level genetic diversity
  • Good genetic diversity, elevated inbreeding only in peripatric West

Pilbara group

  • MtDNA suggests high female philoptary, with two subpops
  • Microsatellites suggest males move throughout the Pilbara, responsible

gene flow

  • Demonstrated opportunity for avoidance of human disturbances (low

level chronic, non-catastrophic) BUT females less likely to move

Mixing research with mining

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What we still face

  • How do we deal with uncertainty?
  • What detection methods are appropriate?
  • How can we maintain rigour in acoustic surveys?
  • How to overcome practical constraints to info gathering?
  • How can we confirm roosts?
  • How do we place a value on roosts?
  • How do we protect colonies with large aggregations?
  • How do we ensure there are no concomitant impacts?
  • How important is foraging habitat?
  • How far can they move? And is this useful info?
  • How close can mining come to a roost? Intractable?
  • What should monitoring achieve? Triggers? Contingencies?
  • What should we do when a roost coincides with an ore body?
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Key threatening processes

Mammal Action Plan Vulnerable A3c; D2 Area of occupancy <10 km2, declining Unknown number of mature individuals 6-7 subpopulations  actually just one population, two subpops … Key threats include:

  • Deterioration of old mines (includes flooding)
  • Human disturbance of roosts
  • Habitat loss (caves, mines)

Plus

  • Roadkill near roosts
  • Concomitant effects
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Conservation objectives (draft Mammal Action Plan)

  • 1. Maintain viability of colonies throughout the population
  • 2. Review and collate unpublished information collected by

mining companies

  • 3. Develop a regional management plan that prevents extensive

destruction of roost sites

  • 4. Acquire/manage land for conservation purposes where

significant roosts occur

  • 5. Encourage non-invasive or low impact activities that confirm

the diurnal use of potential roost sites following acoustic detection at cave sites

  • 6. Ensure any exploratory surveys, monitoring programmes and

research projects do not introduce disturbance

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Plugging the gaps – highest priority needs

From BAP, SPRAT, MAP, Comm Cons Advice, my more recent thoughts

Research

  • Estimating abundance, studies of social behaviour, diet – PhD
  • Complete taxonomy – being undertaken currently

Proactive and focussed management

  • Roost protection, esp. old disused mines
  • Develop a set of standard guidelines for mining proponents to

follow, flowchart, regional management plan (incl ghost bat), collated information, update Commonwealth documents

  • Long term monitoring of known roosts, and engagement with

private programmes Rigorous consultancy work

  • Non-invasive surveys with appropriate gear and visitation
  • Roost confirmation as a standard survey approach
  • Artificial roost experiments
  • Long term monitoring where appropriate
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  • summary of what is known based on published science and
  • bservations with good evidence in unpublished reports.
  • flowchart for approach, provide a standardised path for

developers to follow

  • management options, guidance for offsets
  • buffer zone size guidance
  • guidance for monitoring projects - design constraints, triggers

and appropriate contingency responses

  • artificial habitat guidance note - when and how it would be

appropriate, and a strategy outline

  • monitoring programme at key sites to assess concurrent impacts,

to establish baseline and maintain vigilance

Regional management plan

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Effect of ‘non-invasive’ monitoring

Let’s be careful when we think about research topics. Is the knowledge likely to have a net positive effect?