ACDC 2019 Naturalist
Pre-analysis report
Estimation of common breeding bird populations on the Cournols - Olloix plateau - in 2019 though ~100 distance sampling point transects of 5 and 10mn (2 seasonal passes) ; using the Naturalist smartphone app. for field surveys
Warning: This is only an extract of the actual report, limited to 2 species

Table of contents

Results: the essence

Study type: Point transect, Radial distance, No clustering.

Units used: Meter for distances, Sq. Kilometer for areas.

Confidence value interval: If not listed in table below, please note that ALL analyses have been run with the same value: 95 .

Adjustment term selection criterion: If not listed in table below, please note that ALL analyses have been run with the same value: AIC .

Note: Most figures have been rounded for readability, but 'CoefVar Density' have been further modified : converted to %

Click on analysis number to get to detailed report

Sample & Model Results (1/2) Results (2/2) Standard distance histogram Detection probability density (PDF) Detection probability
02
Echant1
EspèceSylvia atricapilla
Passagea+b
Adultem
Durée10mn
Mod Key FnHAZARD
Mod Adj SerCOSINE
ExCod2
NObs403
Max Dist511.41
Effort190
AIC4526.8
Chi2 P0
KS P0.52
CoefVar Density9.9
PDetec0.07
EDR/ESW135.2
Density36.95
Min Density30.45
Max Density44.85
Number887
Min Number731
Max Number1076
04
Echant3
EspècePrunella modularis
Passagea+b
Adultem
Durée10mn
Mod Key FnUNIFORM
Mod Adj SerCOSINE
ExCod2
NObs47
Max Dist271.221
Effort190
AIC494.6
Chi2 P0.21
KS P0.47
CoefVar Density24.2
PDetec0.172
EDR/ESW112.4
Density6.24
Min Density3.89
Max Density9.99
Number150
Min Number93
Max Number240
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Traceability

Samples

Espèce Passage Adulte Durée Abrev. Echant Echant
1 Sylvia atricapilla a+b m 10mn SylvAtri-ab-10mn-m 1
3 Prunella modularis a+b m 10mn PrunModu-ab-10mn-m 3

Models

keyFn adjSr estCrit cvInt
0 HNORMAL COSINE AIC 95
1 UNIFORM COSINE AIC 95
2 HAZARD COSINE AIC 95
3 HNORMAL POLY AIC 95
4 UNIFORM POLY AIC 95
5 HAZARD POLY AIC 95

Analyser

Value
Zone ACDC
Surface 24
distanceUnit Meter
areaUnit Sq. Kilometer
runMethod subprocess.run
runTimeOut 300
surveyType Point
distanceType Radial
clustering False
defEstimKeyFn UNIFORM
defEstimAdjustFn POLY
defEstimCriterion AIC
defCVInterval 95
defMinDist None
defMaxDist None
defFitDistCuts None
defDiscrDistCuts None

Computing platform

Version
os Windows Enterprise 10.0.19041 (64bit)
processor Intel64 Family 6 Model 165 Stepping 2, GenuineIntel, 12 CPUs
python cpython (win32) R3.8.2 | packaged by conda-forge | (default, Apr 24 2020, 07:34:03) [MSC v.1916 64 bit (AMD64)]
numpy 1.23.2
pandas 1.2.5
zoopt 0.4.0
matplotlib 3.4.2
jinja2 3.0.1
pyaudisam 1.0.0
DS engine C:/PortableApps/Distance 7/MCDS.exe
Generated on 16/04/2023 18:55:51 with Python 3.8.2, NumPy 1.23.2, Pandas 1.2.5, ZOOpt 0.4.0, Matplotlib 3.4.2, Jinja 3.0.1 ... and PyAuDiSam 1.0.0, with icons from Font Awesome (sources : acdc-2019-nat-ds-params.py, ) .