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

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 1.002 registros.

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.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

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

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é 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

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 62cff18a-116e-4582-834d-9e9b3f08722d.  University of Science, Vietnam National University Hanoi publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Participant Node Managers Committee.

Palavras-chave

Occurrence

Contatos

Cobertura Geográfica

Xuan Lien Nature Reserve, Thanh Hoa, Vietnam

Cobertura Taxonômica

Nenhuma descrição disponível

Cobertura Temporal

Dados Sobre o Projeto

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.

Métodos de Amostragem

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.

Descrição dos passos do método:

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.

Metadados Adicionais