Disruption of an ant-plant mutualism shapes interactions between lions and their primary prey

Data and file overview:

1. Kamaru_Path_Analysis_Data.csv
2. Kamaru_Path_Analysis.R
3. Kamaru_Zebra_RSF_Data.csv
4. Kamaru_Zebra_RSF.R

Layers used to build Zebra RSF:

1. Kamaru_DWater: distance to water
2. Kamaru_DGlade: distance to glade
3. Kamaru_DSettlement: distance to human settlement
4. Kamaru_OPC_Veg: vegetation layer (classes: V. drepanolobium, E. divinorum, others)

SPECIFIC INFORMATION FOR: Kamaru_Path_Analysis_Data.csv

1. Number of variables: 11
2. Description: This data file includes 105 zebra kill sites and paired random locations from June 2019 to August 2020. It also includes: (A) monthly utilization distributions of lion prides associated with each kill site and paired point; and (B) zebra densities estimated from resource selection functions, associated with each kill site, and paired random location. Please see our supplementary materials for more details on data and methods.
3. Variable list:

(A) rsf.block: Resource Selection Function blocks (block 1: Jan-Apr 2019, block 2: May-Sep 2019, block 3: Oct 2019 – Jan 2020, block 4: Feb-May 2020, block 5: Jun-Sep 2020)

(B) Kill_ID: kill identifier.

(C) Lion_ID: individual lion pride identifier.

(D) Date (Day, Month, Year) when a specific kill occurred.

(E) Zebra_kill (1 = kill site, 0 = paired random location).

(F). Species: Zebra.

(G) Visibility: openness measurement using a rangefinder in (m).

(H) Lion_activity: Utilization distributions (UD) of lions.

(I) Invasion (1 = invaded by big-headed ants, 0 = uninvaded by big-headed ants).

(J) zeb.rsf: resource selection function value.

(K) zeb.density: zebra density estimated from resource selection functions.

SPECIFIC INFORMATION FOR: Kamaru_Zebra_RSF_Data.csv

1. Number of variables: 10
2. Description: This data file includes 182 zebra sightings, paired with 10 random points created for each sighting/used point. Also, the data includes actual GPS locations of each sighting and the total number of zebras in each sighting. Please see our supplementary materials for more details on data and methods.
3. Variable list:

(A) Species: Zebra.

(B) Date (Day, Month, Year) for that sighting.

(C) Survey: count identifier (Survey 2 to 21).

(D) GPS location (X and Y), longitude and latitude of that sighting location.

(E) Transect: Transect number.

(F) Used: (1= zebra sighting, 0 = paired point).

(G) zebra.ct: total number of zebras in each sighting.

R CODE

SPECIFIC INFORMATION FOR: Kamaru_Path_Analysis.R

1. Description: Apply this code to Kamaru_Path_Analysis_Data.csv to build nested path models.

SPECIFIC INFORMATION FOR: Kamaru_Zebra_RSF.R

1. Description: Apply this code to Kamaru_Zebra_RSF_Data.csv to build resource selection functions for zebra. Use the following layers: Kamaru_DWater, Kamaru_DGlade, Kamaru_DSettlement and Kamaru_OPC_Veg to build the Zebra RSF.