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

Occurrence
Dernière version Publié par University of Science, Vietnam National University Hanoi le sept. 25, 2024 University of Science, Vietnam National University Hanoi

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Description

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.

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 1 002 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est University of Science, Vietnam National University Hanoi. Ce travail est sous licence Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 62cff18a-116e-4582-834d-9e9b3f08722d.  University of Science, Vietnam National University Hanoi publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.

Mots-clé

Occurrence

Contacts

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

Couverture géographique

Xuan Lien Nature Reserve, Thanh Hoa, Vietnam

Enveloppe géographique Sud Ouest [19,854, 104,956], Nord Est [20,021, 105,301]

Couverture taxonomique

Pas de description disponible

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

Couverture temporelle

Date de début / Date de fin 2023-02-27 / 2023-06-09

Données sur le projet

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.

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

Méthodes d'échantillonnage

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.

Etendue de l'étude 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.

Description des étapes de la méthode:

  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.

Métadonnées additionnelles

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