Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: New South Wales

Sortuj według:

Ogranicz wyniki do:

Reliable automation of bat call identification for eastern New South Wales, Australia, using classification trees and AnaScheme software

100%

Adams M. D., Law B. S., Gibson M. S.

Acta Chiropterologica

2010

tom 12

nr 1

Accurate and efficient identification of bat (Microchiroptera) echolocation calls has been hampered by poor knowledge of the intraspecific variability in calls (including regional variation), a lack of call parameters for use in separating species and the amount of time required to manually identify individual calls or call sequences. We constructed and tested automated bat call identification keys for three regions in New South Wales, Australia, using over 4,000 reference calls in ≈300 call sequences per region. We used the program AnaScheme to extract time, frequency and shape parameters from calls recorded with the Anabat system. Classification trees were built to separate species using these parameters and provided the decision rules for construction of the keys. An ‘Unknown’ category was included in the keys for sequences that could not be confidently identified to species. The reliability of the keys was tested automatically with AnaScheme, using independent sets of reference call sequences, and keys were refined before further testing on additional test sequences. Regional keys contained 18–19 species or included species groups. We report rates of sequence misidentification (accuracy) and correct identification (detection) relative to all sequences (including ‘unknowns’) used to test each version of a key. Refined versions of the keys were accurate, with total misidentification rates of 0.5–5.3% for the three regions. Additionally, total correct identifications for regions were 56–75% (> 50% for most species), an overall high rate of detection. When ‘unknowns’ were ignored, as is common in many published studies, correct identification for regions increased to 91–99%, rates which compare favourably to the most successful classifiers tested to date. The future use of AnaScheme for automated bat call identification is promising, especially for the large-scale temporal and spatial acoustic sampling to which Anabat is particularly suited.

Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik

Measurement of personal exposure to outdoor aeromycota in Northern New South Wales, Australia

88%

Green B. J., O'Meara T., Sercombe J. K., Tovey E. R.

Annals of Agricultural and Environmental Medicine

2006

tom 13

nr 2

Aerobiological sampling traditionally uses a volumetric spore trap located in a fixed position to estimate personal exposure to airborne fungi. In this study, the number and identity of fungi inhaled by human subjects (n=34), wearing Intra-nasal air samplers (INASs), was measured over 2-hour periods in an outdoor community setting, and compared to fungal counts made with a Burkard spore trap and Institute of Occupational Medicine personal filter air samplers (IOMs). All sampling devices were in close proximity and located in an outdoor environment in Casino, northern New South Wales, Australia. Using INASs, the most prevalent fungi inhaled belonged to soil or vegetation borne spores of Alternaria, Arthrinium, Bipolaris, Cladosporium, Curvularia, Epicoccum, Exserohilum, Fusarium, Pithomyces, Spegazzinia and Tetraploa species, Xylariaceae ascospores, in addition to hyphal fragments. These results showed that inhaled fungal exposure in most people varied in a 2-fold range with 10-fold outliers. In addition, the INASs and personal air filters agreed more with each other than with Burkard spore trap counts (r=0.74, p<0.0001). These findings further support a new paradigm of personal fungal exposure, which implicates the inhalation of a spectrum of fungi more closely associated with soil or vegetation borne mycoflora and hyphal fragments than what is collected by stationary spore traps in the same geographic region.

Ograniczanie wyników

1 Acta Chiropterologica

1 Annals of Agricultural and Environmental Medicine

1 Adams M. D.

1 Gibson M. S.

1 Green B. J.

1 Law B. S.

1 O'Meara T.

1 Sercombe J. K.

1 Tovey E. R.

1 2010

1 2006

Wyniki wyszukiwania

Reliable automation of bat call identification for eastern New South Wales, Australia, using classification trees and AnaScheme software

Measurement of personal exposure to outdoor aeromycota in Northern New South Wales, Australia