Systematic camera trapping survey for terrestrial vertebrates in Xuan Lien Nature Reserve, Vietnam in 2023

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1,002 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Nguyen A, Le M (2024). Systematic camera trapping survey for terrestrial vertebrates in Xuan Lien Nature Reserve, Vietnam in 2023. Version 1.3. University of Science, Vietnam National University Hanoi. Occurrence dataset. https://cloud.gbif.org/asia/resource?r=2023xuanlienct_01&v=1.3

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is University of Science, Vietnam National University Hanoi. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 62cff18a-116e-4582-834d-9e9b3f08722d.  University of Science, Vietnam National University Hanoi publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Occurrence

Contacts

Geographic Coverage

Xuan Lien Nature Reserve, Thanh Hoa, Vietnam

Taxonomic Coverage

No Description available

Temporal Coverage

Project Data

We provide a dataset of terrestrial vertebrates from systematic camera trapping survey in Xuan Lien Nature Reserve, Thanh Hoa Province, Vietnam, from February 2023 to June 2023. Here, we publish the data using GBIF Darwin Occurrence Core. The survey follows a repeatable systematic grid-based design with the intention of providing baseline data and establishing a monitoring database to support future conservation initiatives and to evaluate the effectiveness of protection activities in the area.

Sampling Methods

The survey followed a systematic grid-based camera trapping design developed by Abrams et al. (2018). In total, we deployed 70 camera traps at 35 locations, which were spaced at about 2.5 km apart with a maximum acceptable deviation of 10% (approximately 250 m). Hence, the minimum distance between any camera stations was 2.0 km. However, at one station, both cameras were lost, and therefore we were only able to retrieve 68 cameras at 34 stations. Each camera trap station consisted of two non-facing camera trap devices (Reconyx Hyperfire) that were set within a 20 x 20 m plot. Cameras were placed on tree trunks 20-40 cm above the ground and were set up to take three burst photos per trigger without delay, recording the date and time of each photo. All cameras were set at high sensitivity level, and were working continuously during the survey.

Method step description:

1. Collected data were copied into folders named by camera and station codes. Each photo was then identified and moved to a corresponding species sub-folder. The completely identified camera dataset was then checked and analyzed using camtrapR package in R to generate basic statistic report for the collected data. Detections from the two camera devices in the same station and within a 60-minute threshold are considered as a single independent detection. The dataset is then structured as an occurrence dataset, formatted according to the recommendations of the Darwin Core Archive. In this dataset, each row corresponds to an independent detection.

Additional Metadata