Data for behavioral state-dependent habitat selection analysis of translocated female greater sage-grouse, North Dakota 2018-2020
Authors/Creators
- 1. Utah State University
- 2. United States Geological Survey
- 3. North Dakota Game and Fish Department
Description
This dataset is associated with the article, "Behavioral state-dependent habitat selection and implications for animal translocations" (Picardi et al., 2021, Journal of Applied Ecology).
Post-release monitoring of translocated animals can be used to inform future translocation protocols. In particular, quantifying habitat selection of translocated individuals may help identify features that characterize suitable settlement habitat and inform the choice of future release sites; however, because translocated animals undergo post-release behavioral modification, the underlying behavioral state needs to be taken into account.
We analyzed behavioral state-dependent habitat selection in female greater sage-grouse (Centrocercus urophasianus) translocated from Wyoming to North Dakota, USA, using Hidden Markov Models in combination with Integrated Step Selection Analysis. This dataset includes GPS tracks (resampled at a 6-hour resolution using a Continuous Time Movement Model) for 48 individuals translocated between 2018 and 2020, along with environmental variables associated with each location. We segmented each track into behavioral phases corresponding to an exploratory state, characterized by broad and directed movements, and a restricted state, characterized by short and tortuous movements. Then, we quantified habitat selection in each state while also accounting for seasonality and individual reproductive status.
Habitat selection of translocated sage-grouse differed between the post-release exploration and the settlement phase. While in the exploratory state, sage-grouse exhibited natal habitat preference induction by selecting for high sagebrush cover, typical of their natal area but not of the release area. In the restricted state, sage-grouse selected for gentle topography and also adjusted their habitat selection based on the season and their reproductive needs.
Notes
This dataset contains three objects:
1. Picardi-et-al_JApplEcol_HMM-Data.rds contains the tracks we used in input to the Hidden Markov Model for behavioral segmentation;
2. Picardi-et-al_JApplEcol_iSSA-Data-State1.rds contains steps that were classified as "restricted state" by the Hidden Markov Model. We sampled 100 random steps per used step and associated each step with environmental predictors described in the manuscript. We used these data in input to the Integrated Step Selection Analysis.
3. Picardi-et-al_JApplEcol_iSSA-Data-State2.rds contains steps that were classified as "exploratory state" by the Hidden Markov Model. We sampled 100 random steps per used step and associated each step with environmental predictors described in the manuscript. We used these data in input to the Integrated Step Selection Analysis.
FILE Picardi-et-al_JApplEcol_HMM-Data.rds
Object type: data.frame
Fields:
"ID": individual identifier
"hen_name": name assigned to each individual
"step": step length (m)
"angle": turning angle (radians)
"timestamp": date and time the location was acquired
"with_brood": boolean variable describing whether the female had a brood at that time (1 if with brood, 0 if without brood because the female didn't reproduce, the brood fledged, or the brood died)
"status": status of the female at the time of release (PNH = pre-nesting hen; NBH = non-brood hen; TBH = brood hen)
"dst": days since translocation
"dst_scaled": days since translocation, scaled and centered
FILES Picardi-et-al_JApplEcol_iSSA-Data-State1.rds & Picardi-et-al_JApplEcol_iSSA-Data-State2.rds
Object type: nested data.frame
Fields:
"hen_name": name assigned to each individual
"rsteps": tibble of data for each individual
Fields within "rsteps":
"ID": individual identifier
"t1_": timestamp of the location at which the step begins
"t2_": timestamp of the location at which the step ends
"dt_": duration of the step
"step_id_": incremental number identifying the steps
"case_": boolean variable defining whether the step is used (TRUE) or random (FALSE)
"sl_": step length (m)
"ta_": turning angle (radians)
"cos_ta_": cosine of the turning angle
"log_sl_": logarithm of the step length
"status": status of the female at the time of release (PNH = pre-nesting hen; NBH = non-brood hen; TBH = brood hen)
"with_brood": boolean variable describing whether the female had a brood at that time (1 if with brood, 0 if without brood because the female didn't reproduce, the brood fledged, or the brood died)
"state": behavioral state assigned via the Viterbi algorithm based on the fitted Hidden Markov Model (1 = restricted, 2 = exploratory)
"dist_to_mesic_log_scaled": logarithm of the distance to mesic habitat (scaled and centered)
"dist_to_roads_log_scaled": logarithm of the distance to roads (scaled and centered)
"dist_to_well_pads_log_scaled": logarithm of the distance to well pads (scaled and centered)
"sagebrush_scaled": percent sagebrush cover (scaled and centered)
"perennial_herb_scaled": percent perennial herbaceous cover (scaled and centered)
"sage_contig_scaled": sagebrush patch contiguity (scaled and centered)
"slope_scaled": slope (scaled and centered)
"asp_sin": sine of the aspect
"asp_cos": cosine of the aspect
Files
Files
(85.0 MB)
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Additional details
Related works
- Is derived from
- https://github.com/picardis/bsdhs (URL)