Changes in utilization of canal crossing structures by desert mammal communities during the COVID-19 lockdown
Abstract
Wildlife crossing structures (WCSs) are widely adopted for alleviating the negative impacts caused by anthropogenic linear infrastructures (ALIs). However, research on canal WCSs in desert environments remains scarce, particularly regarding how anthropogenic disturbance influences their utilization by desert mammals.
Using long-term camera trap monitoring data from northern Xinjiang, China, we examined the dynamics of desert mammals in utilizing canal WCSs. Leveraging the quasi-experimental conditions created by COVID-19, we investigated the changes in encounter rates, activity patterns and potential predator-prey interactions before, during, and after the lockdown.
Focusing on four focal species (Red fox Vulpes vulpes, Goitered gazelle Gazella subgutturosa, Gray wolf Canis lupus, and Tolai hare Lepus tolai), we observed annual activity periodicity and increased encounter rates during lockdown. Activity patterns shifted in species-specific ways, influenced by diel phenotypes. Predator-prey interaction was further complicated by changes in anthropogenic disturbance.
Our findings highlight how local environment and species traits jointly shape wildlife responses to anthropogenic disturbance. Species-specific reactions during the pandemic were influenced by tolerance to anthropogenic disturbance, reflected by functional traits and population status. Changes in predator-prey interaction like more distinct avoidance behaviours can exacerbate the system’s instability, further underscore the importance of minimizing human impact.
Practical implication. Our research represents a pioneering effort in understanding the impacts of COVID-19 lockdown on wildlife utilization of canal WCSs. The findings may guide ecological conservation efforts and inform effective WCSs construction in arid regions. We recommend implementing vehicle management measures and enhancing structural complexity to alleviate the negative impacts of anthropogenic disturbances and improve WCSs performance.
Dataset DOI: 10.5061/dryad.g4f4qrg2b
Description of the data and file structure
The dataset consists of camera trap observations collected from August 2018 to December 2023 at 13 canal wildlife crossing structures (WCSs) in northern Xinjiang, China, using 15 camera traps. It includes independent event records of all observed mammal species and anthropogenic disturbance (i.e., human and livestock) along with datetime, type, species, location (longitude, latitude), width, and pandemic stage (i.e., pre-COVID-19 period, COVID-19 period, and post-COVID-19 period). This dataset enables the analysis of changes in encounter rates, activity patterns, and predator-prey dynamics in relation to anthropogenic disturbances, particularly during the varying stages of the COVID-19 lockdown.
Files and variables
File: data.csv
Description:
Variables
- file: The file number of camera trap detection.
- camera: The specific WCSs of camera trap detection.
- date: The date of camera trap detection.
- time: The time of camera trap detection.
- year: The year of camera trap detection.
- datetime: The datetime of camera trap detection.
- type: The type of camera-trap detection, including mammal, human and livestock.
- species: The specific species name of the camera trap detection.
- pandemic stage: The specific period of COVID-19, including COVID-19 period (pre-CP), COVID-19 period (CP) and post-COVID-19 (post-CP).
- longitude: The longitude of WCSs.
- latitude: The latitude of WCSs.
- width: The width of WCSs (unit: meters).
Code/software
The Excel will be accessible to view the data.
