2024年浙江省景宁畲族自治县望东垟、毛垟乡昆虫快速普查数据集

doi:10.19788/j.issn.2096-6369.100050

农业大数据学报 ›› 2025, Vol. 7 ›› Issue (3): 393-399.doi: 10.19788/j.issn.2096-6369.100050

2024年浙江省景宁畲族自治县望东垟、毛垟乡昆虫快速普查数据集

徐志忠¹(), 吴耀成²^,^*(), 熊小倩³, 张衢华², 柳飞杨², 余惠玲³

1.景宁畲族自治县毛垟乡农业农村服务中心，浙江丽水 323500
2.景宁畲族自治县生态林业发展中心，浙江丽水 323500
3.北京富群环境科技研究院，北京 100193

收稿日期:2024-12-16 接受日期:2025-05-03 出版日期:2025-09-26 发布日期:2025-09-28
通讯作者: 吴耀成，E-mail：289204292@qq.com。
作者简介:徐志忠，E-mail：13587199301@163.com。
基金资助:
景宁畲族自治县科技计划项目：景宁毛垟乡望东垟高山湿地自然保护区森林康养(2023C27)

2024 Zhejiang Province Jingning She Autonomous County Wangdongyang and Maoyang Township Insect Rapid Census Dataset

XU ZhiZong¹(), WU YaoCheng²^,^*(), XIONG XiaoQian³, ZHANG QuHua², LIU FeiYang², YU HuiLing³

1. Maoyang Township Agricultural and Rural Service Center, Jingning She Autonomous County Lishui 323500, Zhejiang, China
2. Jingning She Autonomous County Ecological Forestry Development Center, Lishui 323500, Zhejiang, China
3. Beijing Fuqun Environmental Technology Research Institute, Beijing 100193, China

Received:2024-12-16 Accepted:2025-05-03 Published:2025-09-26 Online:2025-09-28

摘要/Abstract

摘要：

本文呈现了基于在浙江省丽水市景宁畲族自治县进行的一次昆虫快速调查所获得的昆虫物种数据集。在为期3天的调查中，共获得443条物种记录，涵盖15目昆虫。采集到的昆虫照片经晓虫AI鉴定，鉴定结果和可信度均在数据集中有所记录。基于这一数据集，我们提出了结合快速调查、拍照和AI鉴定技术的方法，以实现区域性昆虫多样性众包数据采集。并探讨了利用公众参与和AI技术降低昆虫多样性调查成本的可能性，以及数据众包在生物多样性调查与保护工作中的重要性。

数据摘要：

项目	描述
数据库（集）名称	2024年浙江省景宁畲族自治县望东垟、毛垟乡昆虫快速普查数据集
所属学科	农业科学
研究主题	昆虫多样性
数据时间范围	2024年5月－6月
数据地理空间覆盖	浙江省景宁畲族自治县望东垟乡、毛垟乡
数据类型与技术格式	.docx,.jpg,.xlsx
数据库（集）组成	本数据集包括一个数据说明文件，以及气象数据、物种列表与物种图片。气象数据包含调查期间日均气象和小时气象记录共两个xls文件。物种数据包含1个清单文件，和按照目分列的物种图片数据共15个文件夹。其中图片文件共442个。
数据量	4.52 GB
主要数据指标	拍摄时间地点、物种分类信息、AI识别准确率、温湿度、气压、风向、负氧离子
数据可用性	CSTR:17058.11.sciencedb.agriculture.00173; https://cstr.cn/17058.11.sciencedb.agriculture.00173 Doi:10.57760/sciencedb.agriculture.0017; https://doi.org/10.57760/sciencedb.agriculture.00173
经费支持	景宁畲族自治县科技计划项目：景宁毛垟乡望东垟高山湿地自然保护区森林康养(2023C27).

关键词: 昆虫, 生物多样性, AI识别, 数据众包, 浙江省

Abstract:

Herein we present a dataset of insect species obtained from a rapid insect survey conducted in Jingning She Autonomous County, Lishui City, Zhejiang Province. During the 3-day survey, a total of 443 species records were collected, covering insects from 15 orders. Insect photos collected were identified by XiaoChong AI, with identification results and confidence levels also documented in the dataset. Based on this dataset, we propose a method that integrates rapid surveys, photography, and AI identification technology to achieve regional insect biodiversity crowdsourced data collection. We also discuss the potential of reducing the cost of insect biodiversity surveys through public participation and AI technology, as well as the significance of data crowdsourcing in biological diversity research and conservation efforts.

Data summary:

Items	Description
Dataset name	2024 Zhejiang Province Jingning She Autonomous County Wangdongyang and Maoyang Township Insect Rapid Census Dataset
Specific subject area	Agricultural science
Research topic	Insect diversity
Time range	May to June, 2024
Geographical scope	Wangdongyang and Maoyang Township, Jingning She Autonomous County, Zhejiang Province
Data types and technical formats	.docx,.jpg,.xlsx
Dataset structure	The dataset includes data description files, meteorological data, species lists, and species images. The meteorological data includes two Excel files: one for daily average weather records and one for hourly weather records during the survey period. The species data includes one checklist file and 15 folders of species image data categorized by order, containing a total of 442 image files.
Volume of dataset	4.52 GB
Key index in dataset	shooting time and location, species classification information, AI recognition accuracy, temperature and humidity, air pressure, wind direction, negative oxygen ions
Data accessibility	CSTR:17058.11.sciencedb.agriculture.00173; https://cstr.cn/17058.11.sciencedb.agriculture.00173 Doi:10.57760/sciencedb.agriculture.0017; https://doi.org/10.57760/sciencedb.agriculture.00173
Financial support	Jingning She Autonomous County Science and Technology Program Project: Jingning Maoyang Township Wangdongyang High Mountain Wetland Nature Reserve Forest Health Care (2023C27)

Key words: insects, biodiversity, AI identification, data crowdsourcing, Zhejiang province

徐志忠, 吴耀成, 熊小倩, 张衢华, 柳飞杨, 余惠玲. 2024年浙江省景宁畲族自治县望东垟、毛垟乡昆虫快速普查数据集[J]. 农业大数据学报, 2025, 7(3): 393-399.

XU ZhiZong, WU YaoCheng, XIONG XiaoQian, ZHANG QuHua, LIU FeiYang, YU HuiLing. 2024 Zhejiang Province Jingning She Autonomous County Wangdongyang and Maoyang Township Insect Rapid Census Dataset[J]. Journal of Agricultural Big Data, 2025, 7(3): 393-399.

图/表 3

参考文献 11

[1]	王炜晔, 翟大业, 刘金龙. 我国生物多样性保护自然-社会科学交叉融合与发展. 生态学报, 2024, 44(13):5459-5475.
	WANG W Y, ZHAI D Y, LIU J L. Research on interdisciplinary integration and development of natural-social sciences for biodiversity conservation in China. Acta Ecologica Sinica, 2024, 44(13):5459-5475.
[2]	VANDER SCHEE B A. Crowsourcing: why the power of the crowd is driving the future of business. Journal of Consumer Marketing, 2010:1565-1566.
[3]	VOHLAND K, LAND-ZANDSTRA A, CECCARONL L, et al. The science of citizen science[M]. Berlin: Springer, 2021.
[4]	吕佳乐, 徐学农. 大数据驱动的天敌资源调查与监测体系构建研究. 农业大数据学报, 2020, 2(4):78-85. doi: 10.19788/j.issn.2096-6369.200410
	LV J L, XU X N. Conceptual establishment of a natural enemy resources survey and monitoring system based on big data. Journal of Agricultural Big Data, 2021, 2(4):78-85.
[5]	张九庆. 中国应积极推动公民科研. 科技中国, 2019(6):47-49.
	ZHANG J Q. China should actively promote citizen science. Scitech in China, 2019(6):47-49.
[6]	JÚNIOR T D C, RIEDER R. Automatic identification of insects from digital images: A survey. Computers and Electronics in Agriculture, 2020, 178:105784.
[7]	高欣, 朱曦, 鲁庆彬, 等. 浙江望东垟高山湿地自然保护区物种多样性研究// 中国生物多样性保护与研究进展Ⅶ——第七届全国生物多样性保护与持续利用研讨会论文集. 浙江林学院资源动物研究所, 2006.
	GAO X, ZHU X, LU Q, et al. The studies of species biodiversity in Wangdongyang wetland natural reserve of Zhejiang province// 中国生物多样性保护与研究进展Ⅶ——第七届全国生物多样性保护与持续利用研讨会论文集. Zhejiang Academy of Forestry, 2006.
[8]	刘日林, 刘立伟, 周建青. 浙江景宁望东垟和大仰湖湿地保护区昆虫[M]. 北京: 中国农业科学技术出版社, 2022.
	LIU R, LIU L, ZHOU J. Insects of the Dongyang Wetland Nature Reserve in Jingning, Zhejiang[M]. Beijing: China Agricultural Science and Technology, 2022.
[9]	陈莉娟, 刘日林, 李梦斐, 等. 景宁望东垟高山湿地自然保护区和景宁大仰湖湿地群自然保护区昆虫多样性研究. 浙江林业科技, 2023, 43(6):93-98.
	CHEN L, LIU R, LI M, et al. Composition and diversity of insect in Wangdongyang alpine wetland nature reserve and Dayanghu wetlands nature reserve. Journal of Zhejiang Forestry Science and Technology, 2023, 43(6):93-98.
[10]	刘日林, 杨佳, 叶文晶, 等. 景宁望东垟高山湿地省级自然保护区两栖动物资源调查. 自然博物, 2017, 4:25-29.
	LIU R, TANG J, YE W, et al. A study on amphibians in Wangdongyang alpine wetland provincial nature reserve, Jingning County. Research of Natural History and Museum, 2017, 4:25-29.
[11]	季必浩, 陈莉娟, 徐洪峰, 等. 景宁望东垟、大仰湖保护区湿地植物调查及分析. 林业科技通讯, 2018(7):57-67.
	JI B, CHEN L, XU H, et al. The investigation and analysis on wetland plants in Wangdongyang and Dayanghu nature reserve of Jingning. Forest Science and Technology, 2018(7):57-67.

目	物种总数	识别到种的物种数	识别到种的比率 (%)	识别到种的物种中平均可信度（%）
半翅目 Hemiptera	34	20	58.82	88.37
蜚蠊目 Blattodea	3	0	0.00	-
蜉蝣目 Ephemeroptera	14	3	21.43	65.45
革翅目 Dermaptera	1	0	0.00	-
广翅目 Megaloptera	1	1	100.00	92.12
襀翅目 Plecoptera	1	0	0.00	-
鳞翅目 Lepidoptera	216	145	67.13	88.46
毛翅目 Trichoptera	9	3	33.33	51.30
膜翅目 Hymenoptera	25	11	44.00	77.41
啮虫目 Psocoptera	2	0	0.00	-
鞘翅目 Coleoptera	64	35	54.69	80.04
蜻蜓目 Odonata	10	6	60.00	89.67
双翅目 Diptera	54	30	55.56	71.69
螳螂目 Mantodea	1	1	100.00	99.98
直翅目 Orthoptera	8	3	37.50	68.74
总计 Total	443	258	58.24	84.04

2024年浙江省景宁畲族自治县望东垟、毛垟乡昆虫快速普查数据集

2024 Zhejiang Province Jingning She Autonomous County Wangdongyang and Maoyang Township Insect Rapid Census Dataset

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 11

相关文章 3

Metrics

本文评价

推荐阅读 0

[1]	张文明, 黄传涛, 孙永海, 侯开雄, 鲁敏, 王文静, 飞从志. 2018—2021年云南楚雄地区云南红梨等作物上瓢虫数据集[J]. 农业大数据学报, 2022, 4(4): 87-93.
[2]	刘海燕, 杨榕, 侯彤瑜, 赵维, 姚兆群, 王海江, 张泽, 高攀, 吕新. 新疆棉田土壤微生物资源大数据平台建设与可视化分析[J]. 农业大数据学报, 2021, 3(1): 45-55.
[3]	许哲平,邵曾婷,朱学军,王昉,王媛媛,肖曼,马克平. 农业生物多样性大数据平台建设研究和展望[J]. 农业大数据学报, 2019, 1(2): 76-87.