Expression and mechanisms of behavioral plasticity in large mammals
Data files
Sep 18, 2025 version files 2.23 GB
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00_prep_GPS_data_bighorn.R
6.60 KB
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00_prep_GPS_data_cougar.R
23.57 KB
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00_prep_GPS_data_mtngoat.R
15.80 KB
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00_prep_GPS_data_muledeer.R
4.35 KB
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00_prep_GPS_data_pronghorn.R
4.47 KB
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00_prep_GPS_data_wolf.R
39.69 KB
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01_clean_filter_GPS_data.R
27.12 KB
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02a_sensitivity_analysis_generate_HR_random_points.R
37.58 KB
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02b_sensitivity_analysis_extract_GIS_tmax.R
14.36 KB
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02c_sensitivity_analysis_run_models_visualize.R
10.89 KB
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03_generate_BB_HRs_random_points.R
18.70 KB
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04_extract_tmax_GIS_data.R
11.47 KB
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05_calculate_speed_scale_center_data.R
17.20 KB
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06_run_RSF_speed_models.R
5.96 KB
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07_correlation_matrix_PCA_behavioral_responses.R
9.12 KB
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08_quantify_population_plasticity_metrics.R
71.46 KB
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09_visualize_individual_behavioral_plasticity_coefficients.R
6.35 KB
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10_explain_visualize_variation_in_behavioral_plasticity.R
95.42 KB
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11_more_visualize_variation_in_behavioral_plasticity.R
81.77 KB
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bighorn_allSeminoe_result_SC.csv
69.02 KB
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bighorn_allSeminoe_SC_data.csv
23.71 MB
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bighorn_jackson_result_SC.csv
10.60 KB
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bighorn_jackson_SC_data.csv
5.77 MB
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bighorn_YNPnr_result_SC.csv
22.50 KB
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bighorn_YNPnr_SC_data.csv
20.87 MB
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bison_YNPinterior_result_SC.csv
265.50 KB
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bison_YNPinterior_SC_data.csv
413.97 MB
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bison_YNPnr_result_SC.csv
311.88 KB
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bison_YNPnr_SC_data.csv
380.64 MB
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cougar_YNPnr_result_SC.csv
28.93 KB
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cougar_YNPnr_SC_data.csv
59.21 MB
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datasets_metadata.xlsx
17 KB
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elk_sierramadre_result_SC.csv
182.24 KB
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elk_sierramadre_SC_data.csv
305.67 MB
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elk_whitemountain_result_SC.csv
116.60 KB
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elk_whitemountain_SC_data.csv
74.63 MB
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moose_jackson_result_SC.csv
136.11 KB
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moose_jackson_SC_data.csv
136.60 MB
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moose_sublette_result_SC.csv
275.77 KB
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mtngoat_PALSRC_result_SC.csv
54.83 KB
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mtngoat_PALSRC_SC_data.csv
18.15 MB
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muledeer_chokecherry_result_SC.csv
223.35 KB
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muledeer_chokecherry_SC_data.csv
205.86 MB
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muledeer_hoback_result_SC.csv
190.75 KB
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muledeer_hoback_SC_data.csv
158.85 MB
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pronghorn_shirleybasin_result_SC.csv
137.64 KB
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pronghorn_shirleybasin_SC_data.csv
133.21 MB
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pronghorn_sublette_result_SC.csv
86.08 KB
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pronghorn_sublette_SC_data.csv
65.55 MB
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README.md
4.49 KB
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wolf_YNPinterior_result_SC.csv
21.58 KB
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wolf_YNPinterior_SC_data.csv
31.76 MB
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wolf_YNPnr_result_SC.csv
100.67 KB
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wolf_YNPnr_SC_data.csv
193 MB
Abstract
Behavioral plasticity, the alteration of behavior in response to stimuli, is becoming increasingly important in the context of human-induced rapid environmental change. Theoretical and empirical studies suggest that the expression and magnitude of behavioral plasticity are likely facilitated or constrained primarily by two factors: environmental variation and endogenous traits such as body size. The contextual role of these factors on behavioral plasticity, however, is poorly understood; there are relatively few studies that have compared the magnitude and potential drivers of behavioral plasticity at different levels (i.e., population and individual) across species, especially in free-ranging animals with diverse behavioral traits such as large mammals. Here, we quantify and test potential hypotheses for the mechanisms underpinning behavioral plasticity at the individual and population level in response to variation in summer temperatures for 1,068 animal years in 17 populations across 9 species of large mammals. All populations displayed behavioral plasticity in response to increased temperatures, modifying their relative selection for heat-relieving habitat attributes (e.g., elevation) and heat-generating behavior (i.e., movement speed). We found strong support for the hypothesis that the variability of the physical environment is an important driver of behavioral plasticity—both mean population behavioral plasticity and variation among individuals within each population in plasticity were lower with increased heterogeneity of habitat attributes such as tree cover. Yet, the variability in environmental conditions (i.e., the magnitude of the temperature increase) had no effect on behavioral plasticity within and among populations. We did not detect an effect of endogenous traits on the expression of behavioral plasticity; however, we note that data availability limited our tests of this hypothesis to a select few endogenous traits (body size, feeding guild, and sex of the tracked individuals) that predominantly vary at the species level, for which we had 1-3 replicate populations per species. Our results provide an integrative and generalizable understanding of the expression of behavioral plasticity among populations of large mammals in temperate environments and emphasize the important but nuanced role of environmental variation in determining the scope of behavioral plasticity in these populations.
Dataset DOI: 10.5061/dryad.stqjq2cfh
Description of the data and file structure
Animal movement data from 1068 unique animal-years representing 575 individuals of 17 populations of 9 species of large mammals collected between 2001 and 2019: Rocky Mountain bighorn sheep (Ovis canadensis canadensis), American bison (Bison bison bison), North American cougar (Puma concolor cougar), Rocky Mountain elk (Cervus canadensis nelsoni), Shiras moose (Alces alces shirasi), mountain goat (Oreamnos americanus), Rocky Mountain mule deer (Odocoileus hemionus hemionus), American pronghorn (Antilocapra americana americana), and gray wolf (Canis lupus).
Files and variables
File: datasets_metadata.xlsx
Description: metadata for each dataset
File: "..."_result_SC.csv
Description: beta coefficients from Resource Selection Functions for each large mammal population.
Variables
- species: species name
- population: population name
- spec_pop: combined species and population name
- id_yr: individual ID
- n_all: total number of points
- n_used: total number of used points
- n_speed: total number of points used to calculate movement speed
- relatTmax_HR_Lquant: lower quantile for relative Tmax in individual home range (relative daily max. temperature)
- relatTmax_HR_Uquant: upper quantile for relative Tmax in individual home range (relative daily max. temperature)
- coefs: names of the RSF coefficients
- Estimate: estimate beta coefficient value
- SE: standard error for the estimated beta coefficient value
- z: z-score for the estimated beta coefficient value
- P: p-value for the estimated beta coefficient value
File: "..."_data.csv
Description: animal location data used to fit the RSF models for each study population
Variables
- id: id
- species: species name
- population: population name
- spec_pop: combined species and population name
- id_yr: individual ID
- sex: individual sex (M/F)
- pack: pack ID (if applicable for species)
- timeOfDay: day or night
- used: 1 used, 0 random available locations
- tmax: daily max temperature (C)
- relatTmax: relative daily max temperature
- tmax_HR: daily max temperature across the home range (C)
- relatTmax_HR: relative daily max temperature across the home range
- elev: elevation (meters)
- trasp: topographic solar-radiation index
- cti: compound topographic index
- perCover: percent tree canopy cover
- dist: step length (meters)
- dt: time between locations (fix rate)
- speed: movement speed (ms-1)
- speed_log: log of movement speed
- elev_SC: scaled and centered elevation
- trasp_SC: scaled and centered topographic solar-radiation index
- cti_SC: scaled and centered compound topographic index
- perCover_SC: scaled and centered percent tree canopy cover
- speed_log_SC: scaled and centered log movement speed
File: 10_explain_visualize_variation_in_behavioral_plasticity.R
Description: R code
File: 11_more_visualize_variation_in_behavioral_plasticity.R
Description: R code
File: 04_extract_tmax_GIS_data.R
Description: R code
File: 07_correlation_matrix_PCA_behavioral_responses.R
Description: R code
File: 05_calculate_speed_scale_center_data.R
Description: R code
File: 09_visualize_individual_behavioral_plasticity_coefficients.R
Description: R code
File: 02c_sensitivity_analysis_run_models_visualize.R
Description: R code
File: 06_run_RSF_speed_models.R
Description: R code
File: 03_generate_BB_HRs_random_points.R
Description: R code
File: 02b_sensitivity_analysis_extract_GIS_tmax.R
Description: R code
File: 00_prep_GPS_data_bighorn.R
Description: R code
File: 01_clean_filter_GPS_data.R
Description: R code
File: 00_prep_GPS_data_wolf.R
Description: R code
File: 02a_sensitivity_analysis_generate_HR_random_points.R
Description: R code
File: 00_prep_GPS_data_pronghorn.R
Description: R code
File: 00_prep_GPS_data_muledeer.R
Description: R code
File: 00_prep_GPS_data_mtngoat.R
Description: R code
File: 00_prep_GPS_data_cougar.R
Description: R code
File: 08_quantify_population_plasticity_metrics.R
Description: R code
Code/software
All data and code can be accessed using the R environment.
