Data from: Comparative evaluation of noninvasive DNA sampling and line transect surveys for spring density estimation of black grouse and capercaillie
Data files
Jun 06, 2025 version files 76.76 KB
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captures2012_black_grouse.txt
898 B
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captures2012_capercaillie.txt
852 B
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captures2013_black_grouse.txt
2.15 KB
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README.md
4.46 KB
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trapfile2012_black_grouse.txt
20.27 KB
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trapfile2012_capercaillie.txt
20.27 KB
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trapfile2013_black_grouse.txt
27.86 KB
Abstract
Reliable abundance estimates provide essential information in ecology, conservation, and management of many wild grouse populations. In this 3-year study, we comparatively evaluate the suitability of traditional line transect distance sampling of flushed birds versus a spatial capture-recapture survey with noninvasive DNA samples for individual identification to estimate spring densities of black grouse and capercaillie in a ~30 km2 boreal forest area in central Norway. The number of observed flushed birds during each field survey period and survey year was low, and did not allow for reliable estimation of abundance from distance sampling in any of the three years, with a total search effort of 745 km. Collection of noninvasive DNA samples and spatial capture-recapture models provided absolute spring density estimates of 1.6 and 2.3 black grouse km-2 in two out of three survey years, and 0.7 capercaillie km-2 in one out of three survey years. Spring population surveys based on a collection of noninvasive DNA samples in a boreal forest habitat could be a better alternative to traditional line transect surveys based on distance sampling of flushed birds in estimating abundance for black grouse and capercaillie, but rely on a sufficient number of unique individuals captured and recaptured at different spatial locations.
Dataset DOI: 10.5061/dryad.mw6m9067z
Description of the data and file structure
The dataset contains six input files for the spatial capture-recapture models analysed with function of the package ‘secr’ (ver. 3.1.0, Efford 2017) in an R environment (ver. 3.4.2, R Core Team 2017). The “trapfile2012_black grouse.txt”, “trapfile2013_black grouse.txt” and “trapfile2012_capercaillie.txt” contains the detector arrays. The “captures2012_black grouse.txt”, “captures2013_black grouse.txt” and “captures 2012_capercaillie.txt” contains the detection of individuals at different detectors. A null model (ɡ0 and σ constant) was fitted from which density estimates was derived.
Efford, M. G. 2017. secr: Spatially explicit capture-recapture models. R package version 3.1.0. https://CRAN.R-project.org/package=secr.
R Core Team. 2017. R: A language and environment for statistical computing. - R version 3.4.2. R Foundation for Statistical Computing. Vienna, Austria, R Foundation for Statistical Computing. Vienna, Austria.
Files and variables
File: captures2012_black_grouse.txt
Description: contains columns with data on "year", "animal_id", "day" of capture and "trap_id" of capture for black grouse in 2012.
Variables
- year: year
- animal_id: animal identifier
- day: capture day of the year
- trap_id: trap identifier for capture
File: captures2012_capercaillie.txt
Description: contains columns with data on "year", "animal_id", "day" of capture and "trap_id" of capture for capercaillie in 2012
Variables
- year: year
- animal_id: animal identifier
- day: capture day of the year
- trap_id: trap identifier for capture
File: captures2013_black_grouse.txt
Description: contains columns with data on "year", "animal_id", "day" of capture and "trap_id" of capture for black grouse in 2013.
Variables
- year: year
- animal_id: animal identifier
- day: capture day of the year
- trap_id: trap identifier for capture
File: trapfile2012_black_grouse.txt
Description: contains columns with data on "trap_id", "x"- and "y" coordinates of the trap in WGS84 UTM33North, and trapping sessions indicating if the trap was active (1) or not (0) for black grouse in 2012.
Variables
- trap_id: trap identifier
- x: x-coordinates in WGS84, UTM zone 33N
- y: y-coordinates in WGS84, UTM zone 33N
- occ1:sampling session 1
- occ2:sampling session 2
- occ3:sampling session 3
- occ4:sampling session 4
- occ5:sampling session 5
- occ6:sampling session 6
File: trapfile2012_capercaillie.txt
Description: contains columns with data on "trap_id", "x"- and "y" coordinates of the trap in WGS84 UTM33North, and trapping sessions indicating if the trap was active (1) or not (0) for capercaillie in 2012.
Variables
- trap_id: trap identifier
- x: x-coordinates in WGS84, UTM zone 33N
- y: y-coordinates in WGS84, UTM zone 33N
- occ1: sampling session 1
- occ2: sampling session 2
- occ3: sampling session 3
- occ4: sampling session 4
- occ5: sampling session 5
- occ6: sampling session 6
File: trapfile2013_black_grouse.txt
Description: contains columns with data on "trap_id", "x"- and "y" coordinates of the trap in WGS84 UTM33North, and trapping sessions indicating if the trap was active (1) or not (0) for black grouse in 2013.
Variables
- trap_id: trap identifier
- x: x-coordinates in WGS84, UTM zone 33N
- y: -coordinates in WGS84, UTM zone 33N
- occ1:sampling session 1
- occ2:sampling session 2
- occ3:sampling session 3
- occ4:sampling session 4
- occ5:sampling session 5
- occ6:sampling session 6
- occ7:sampling session 7
- occ8:sampling session 8
- occ9:sampling session 9
- occ10:sampling session 10
- occ11:sampling session 11
- occ12:sampling session 12
Code/software
R Core Team. 2017. R: A language and environment for statistical computing. - R version 3.4.2. R Foundation for Statistical Computing. Vienna, Austria, R Foundation for Statistical Computing. Vienna, Austria.
Efford, M. G. 2017. secr: Spatially explicit capture-recapture models. R package version 3.1.0. https://CRAN.R-project.org/package=secr.
