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

Событие
Последняя версия опубликовано University of Science, Vietnam National University Hanoi сент. 25, 2024 University of Science, Vietnam National University Hanoi
Дата публикации:
25 сентября 2024 г.
Лицензия:
CC-BY-NC 4.0

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Описание

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.

Записи данных

Данные этого occurrence ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 1 002 записей.

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

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Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является University of Science, Vietnam National University Hanoi. Эта работа находится под лицензией Creative Commons Attribution Non Commercial (CC-BY-NC 4.0).

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 62cff18a-116e-4582-834d-9e9b3f08722d.  University of Science, Vietnam National University Hanoi отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Participant Node Managers Committee.

Ключевые слова

Occurrence

Контакты

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

Географический охват

Xuan Lien Nature Reserve, Thanh Hoa, Vietnam

Ограничивающие координаты Юг Запад [19,854, 104,956], Север Восток [20,021, 105,301]

Таксономический охват

Описание отсутсвует

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

Временной охват

Дата начала / Дата окончания 2023-02-27 / 2023-06-09

Данные проекта

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.

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

Методы сбора

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.

Охват исследования 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.

Описание этапа методики:

  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.

Дополнительные метаданные

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