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

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 1,002 筆紀錄。

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版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 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 註冊

此資源已向GBIF註冊，並指定以下之GBIF UUID: 62cff18a-116e-4582-834d-9e9b3f08722d。  University of Science, Vietnam National University Hanoi 發佈此資源，並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。

關鍵字

Occurrence

聯絡資訊

地理涵蓋範圍

Xuan Lien Nature Reserve, Thanh Hoa, Vietnam

分類群涵蓋範圍

無相關描述

時間涵蓋範圍

計畫資料

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.

取樣方法

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.

方法步驟描述:

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.

額外的詮釋資料