生物多样性 ›› 2023, Vol. 31 ›› Issue (5): 22566.  DOI: 10.17520/biods.2022566  cstr: 32101.14.biods.2022566

所属专题: 数据论文 数据论文

• 数据论文 • 上一篇    下一篇

四川老君山国家级自然保护区林下鸟兽多样性及动态变化数据集

陈本平1, 陈建武1, 凌征文1, 杨旭2, 陈鑫2, 李生强3,4,*(), 杨彪5,*()   

  1. 1.四川省屏山县老君山国家级自然保护区保护中心, 四川屏山 645350
    2.成都兴艾信息技术有限公司, 成都 610051
    3.四川省大熊猫科学研究院, 成都 610057
    4.广西师范大学广西珍稀濒危动物生态学重点实验室, 广西桂林 541004
    5.西华师范大学栗子坪大熊猫生态与保护四川省野外科学观测研究站, 四川南充 637009
  • 收稿日期:2022-10-06 接受日期:2023-03-18 出版日期:2023-05-20 发布日期:2023-05-19
  • 通讯作者: * E-mail: shengqiang322@qq.com; yangb315@163.com
  • 基金资助:
    四川省科学技术厅重大科技专项(2021YFS0280);四川省科学技术厅重大科技专项(22ZDYF2289);西华师范大学科研启动项目(18Q038)

Developing a dataset on the diversity and dynamic changes of mammals and birds recorded using camera traps in Laojun Mountain National Nature Reserve, Sichuan, China

Benping Chen1, Jianwu Chen1, Zhengwen Ling1, Xu Yang2, Xin Chen2, Shengqiang Li3,4,*(), Biao Yang5,*()   

  1. 1. Protection Center of Laojun Mountain National Nature Reserve, Pingshan, Sichuan 645350
    2. Chengdu Xing-Ai Information Technology Co., Ltd., Chengdu 610051
    3. Sichuan Academy of Giant Panda Science, Chengdu 610057
    4. Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, Guangxi 541004
    5. Sichuan Liziping Giant Panda Ecology and Conservation Station for Field Scientific Observation and Research, China West Normal University, Nanchong, Sichuan 637009
  • Received:2022-10-06 Accepted:2023-03-18 Online:2023-05-20 Published:2023-05-19
  • Contact: * E-mail: shengqiang322@qq.com; yangb315@163.com

摘要:

物种编目是生物多样性研究和保护的基础, 开展野生动物多样性监测对更新本底物种编目至关重要。目前红外相机的应用十分普通, 已成为陆生大中型兽类和林下鸟类监测的最有效方法之一。老君山国家级自然保护区位于四川省屏山县, 面积35 km2, 是我国第一个以四川山鹧鸪(Arborophila rufipectus)等珍稀濒危雉科鸟类以及常绿阔叶林生态系统为主要保护对象的保护区。本文整理了保护区2013年4月至2020年9月的红外相机监测数据并进行了详细的物种鉴定, 提供了按照年度统计的红外相机监测数据集。本数据集展示了不同监测年度下的相机位点坐标和相机工作日、每个相机位点拍摄的兽类和鸟类物种数、独立有效记录数、整体鸟兽物种名录(包括分布海拔、分布区域以及不同年度下的网格占有率与相对多度指数等)、代表性物种的红外相机照片等。该数据集是保护区开展红外相机监测工作以来首次全面的成果汇总, 可为保护区制定针对性保护与管理决策提供重要科学依据。

数据库(集)基本信息简介

数据库(集)名称 四川老君山国家级自然保护区林下鸟兽多样性及动态变化数据集
作者 陈本平, 陈建武, 凌征文, 杨旭, 陈鑫, 李生强, 杨彪
通讯作者 李生强(shengqiang322@qq.com), 杨彪(yangb315@163.com)
时间范围 2013-2020年
地理区域 1. 地理与管理单元: 四川老君山国家级自然保护区, 面积35 km2; 2. 经纬度范围: 103º57'-104º04' E, 28º39'-28º43' N; 3. 红外相机布设海拔跨度: 1,196-1,933 m
文件大小 数据文件: 918 KB; 代表性物种照片压缩包: 56.5 MB
数据格式 数据文件: *.doc; 代表性物种照片压缩包: *.rar
数据链接 https://www.dataopen.info/home/datafile/index/id/286
https://doi.org/10.24889/do.202305001
https://www.biodiversity-science.net/fileup/1005-0094/DATA/2022566.zip
数据库(集)组成 数据集共包括1个数据文件和2个代表性物种照片压缩包。其中, 数据文件包括7个统计表格和2个分析图, 统计表格包括: 1. 总体监测概况; 2. 监测位点地理坐标; 3. 独立有效记录数; 4. 物种数; 5. 物种名录; 6. 不同区块下鸟兽物种分布; 7. 不同区块物种相对多度(RAI)前8位统计。分析图包括: 1. 兽类和鸟类物种数与有效相机工作日拟合曲线; 2. 相对多度指数前15位兽类物种以及前20位鸟类物种在不同年度下的比较。

关键词: 老君山国家级自然保护区, 红外相机, 兽类, 鸟类, 多样性, 动态变化

Abstract

Species cataloging is the basis of biodiversity research and conservation, and wildlife diversity monitoring is essential for updating local species cataloging data. At present, infrared cameras have become one of the most widely used and effective methods for monitoring large and medium-sized terrestrial mammals and understory birds. The Laojun Mountain National Nature Reserve in Sichuan Province is the first national nature reserve in China to make efforts to protect the Sichuan partridge (Arborophila rufipectus), Phasianidae birds, and evergreen broad-leaved forest ecosystem. In this study, we used infrared camera monitoring to identify the distribution of mammal and bird species in the reserve from April 2013 to September 2020 and to develop a comprehensive camera-trapping dataset of Laojun Mountain. For each camera site, the dataset includes the geographic coordinates of observations, number of mammals and birds identified, number of independent observations, a list of observed mammal and bird species (including distribution among elevations, area of distribution, grid occupancy and relative abundance index in different years, etc.), and infrared photos of observed species. This dataset is the first comprehensive summary of species distributions in the reserve since the infrared camera monitoring work began. This work provides an important basis for scientific decision-making of targeted conservation and management of China’s natural resources.

Database/Dataset Profile

Title Developing a dataset on the diversity and dynamic changes of mammals and birds recorded using camera traps in Laojun Mountain National Nature Reserve, Sichuan, China
Authors Benping Chen, Jianwu Chen, Zhengwen Ling, Xu Yang, Xin Chen, Shengqiang Li, Biao Yang
Corresponding author Shengqiang Li (shengqiang322@qq.com), Biao Yang (yangb315@163.com)
Time range 2013-2020
Geographical scope 1. Management unit: Laojun Mountain National Nature Reserve, Pingshan County, Sichuan Province. Area: 35 km2; 2. Coordinates: 103º57'-104º04' E, 28º39'-28º43' N; Elevation range of camera stations: 1,196-1,933 m
File size Data file: 918 KB; Representative photograph (zipped file): 56.5 MB
Data format Data file: *.doc; Representative photograph (zipped file): *.rar
Data link https://www.dataopen.info/home/datafile/index/id/286
https://doi.org/10.24889/do.202305001
https://www.biodiversity-science.net/fileup/1005-0094/DATA/2022566.zip
Database/Dataset composition The dataset consists of one Microsoft word file and two zipped files of representative photographs. The word file consists of 7 data sheets and 2 analysis diagrams. The data sheets include: 1. Summary of infrared camera survey; 2. Geographic coordinates of camera traps; 3. Number of independent effective observations; 4. Number of species; 5. Mammal and bird species list; 6. Diversity distribution of mammals and birds in different areas; 7. Relative abundance index of the top 8 species. The analysis diagrams include: 1. Curves of estimating species numbers of mammals and birds with effective camera days; 2. Comparison of the top 15 mammal species and the top 20 bird species based on relative abundance index under different years.

Key words: Laojun Mountain National Nature Reserve, camera trap, mammal, bird, diversity, dynamic change