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

Registro biológico
Última versión publicado por University of Science, Vietnam National University Hanoi el sept. 25, 2024 University of Science, Vietnam National University Hanoi
Fecha de publicación:
25 de septiembre de 2024
Licencia:
CC-BY-NC 4.0

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Descripción

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.

Registros

Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 1.002 registros.

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es University of Science, Vietnam National University Hanoi. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 62cff18a-116e-4582-834d-9e9b3f08722d.  University of Science, Vietnam National University Hanoi publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.

Palabras clave

Occurrence

Contactos

Anh Nguyen
  • Originador
  • Lecturer, Point of contact
Faculty of Environmental Sciences, University of Science, Vietnam National University, Hanoi, Vietnam
VN
Minh Le
  • Originador
  • Senior Lecturer, Administrative point of contact
Central Institute for Natural Resources and Environmental Studies, Vietnam National University, Hanoi, Vietnam
VN
Anh Nguyen
  • Originador
  • Lecturer
Faculty of Environmental Sciences, University of Science, Vietnam National University, Hanoi, Vietnam
VN
Minh Le
  • Originador
  • Senior Lecturer
Central Institute for Natural Resources and Environmental Studies, Vietnam National University, Hanoi, Vietnam
VN

Cobertura geográfica

Xuan Lien Nature Reserve, Thanh Hoa, Vietnam

Coordenadas límite Latitud Mínima Longitud Mínima [19,854, 104,956], Latitud Máxima Longitud Máxima [20,021, 105,301]

Cobertura taxonómica

No hay descripción disponible

Class Aves (Birds), Mammalia (Mammals), Reptilia (Reptiles)

Cobertura temporal

Fecha Inicial / Fecha Final 2023-02-27 / 2023-06-09

Datos del proyecto

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.

Título Assessing conservation status, distribution of terrestrial mammals and identifying priority conservation areas for the Roosevelt’s Muntjac in Xuan Lien Nature Reserve
Fuentes de Financiación This research has been done under the research project QG.22.72 of Vietnam National University, Hanoi.

Métodos de muestreo

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.

Área de Estudio Our survey was conducted from February 2023 to June 2023. The survey followed a systematic grid-based camera trapping design developed by Abrams et al. (2018). Due to the operation of Cua Dat hydro powerplant in the southeastern part of the reserve, and the subsequent raised water level of the Chu River since 2010, some areas of Xuan Lien has been isolated for around 15 years. Subsequently, our survey only covered about 77% of the reserve. However, the core zone of the reserve was fully covered by our survey.

Descripción de la metodología paso a paso:

  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.

Metadatos adicionales

Identificadores alternativos 62cff18a-116e-4582-834d-9e9b3f08722d
https://cloud.gbif.org/asia/resource?r=2023xuanlienct_01