西南山地红外相机监测网络建设进展

doi:10.17520/biods.2020038

生物多样性 ›› 2020, Vol. 28 ›› Issue (9): 1049-1058. DOI: 10.17520/biods.2020038

所属专题：青藏高原生物多样性与生态安全

• 中国野生动物红外相机监测网络专题 • 上一篇下一篇

西南山地红外相机监测网络建设进展

李晟¹^,^*(), William J. McShea², 王大军¹, 申小莉³, 卜红亮¹, 官天培⁴, 王放⁵, 古晓东⁶, 张晓峰⁷, 廖灏泓⁸

1 北京大学生命科学学院, 北京 100871
2 Smithsonian Conservation Biology Institute, Front Royal, VA 22630, USA
3 中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
4 绵阳师范学院生态安全与保护四川省重点实验室, 四川绵阳 621000
5 复旦大学生命科学学院, 上海 200438
6 四川省林业与草原局, 成都 610081
7 陕西省林业局, 西安 710082
8 大自然保护协会中国部, 云南丽江 674100

收稿日期:2020-02-09 接受日期:2020-07-13 出版日期:2020-09-20 发布日期:2020-07-20
通讯作者: 李晟
作者简介:*E-mail: shengli@pku.edu.cn
基金资助:
生态环境部生物多样性调查、观测与评估项目(2019HJ2096001006);生物多样性保护重大工程专项(2110404: MM-2017-026);生物多样性保护重大工程专项(2018-02-06- M2019-43/44)

Construction progress of the Camera-trapping Network for the Mountains of Southwest China

Sheng Li¹^,^*(), William J. McShea², Dajun Wang¹, Xiaoli Shen³, Hongliang Bu¹, Tianpei Guan⁴, Fang Wang⁵, Xiaodong Gu⁶, Xiaofeng Zhang⁷, Haohong Liao⁸

1 School of Life Sciences, Peking University, Beijing 100871, China
2 Smithsonian Conservation Biology Institute, Front Royal, VA 22630, USA
3 State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
4 Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Teachers’ College, Mianyang, Sichuan 621000, China
5 School of Life Sciences, Fudan University, Shanghai 200438, China
6 Forestry and Grassland Administration of Sichuan Province, Chengdu 610081, China
7 Forestry Administration of Shaanxi Province, Xi’an 710082, China
8 The Nature Conservancy—China Program, Lijiang, Yunnan 674100, China

Received:2020-02-09 Accepted:2020-07-13 Online:2020-09-20 Published:2020-07-20
Contact: Sheng Li

1. 附录1 西南山地红外相机网络记录到的兽类与鸟类物种.pdf(278KB)

摘要/Abstract

摘要：

中国西南山地是全球生物多样性热点区。西南山地红外相机监测网络是我国生物多样性监测的区域性红外相机网络之一。该网络由北京大学牵头, 始建于2002年, 合作单位包括科研院所、高校、保护组织、政府部门、保护地管理机构等。网络主要覆盖青藏高原东缘大横断山区域的秦岭、岷山、邛崃山、相岭、凉山、沙鲁里山、云岭7大山系。网络内目前共有41个监测样区, 包括自然保护区、社区保护地、林场等多种类型。网络内监测样区均采用标准的网格化布设规程, 采取统一数据结构与数据库结构、建立离散式数据库进行分散管理的总体架构, 所有监测样区的数据库保持一致的结构和统一的核心字段, 由每个监测样区建立并维护各自独立的数据库。截至2019年12月, 网络内布设有效调查/监测位点5,738个, 已处理数据中调查工作量(以有效相机日计)合计约120.74万天, 积累红外相机照片/视频(删除连续空拍后) 302.59万份, 另有111.16万份待处理。共记录到分属7目21科的63种野生哺乳动物与分属10目35科的182种野生鸟类物种, 其中国家一、二级重点保护野生动物分别有18与39种。西南山地网络今后的重点工作方向包括: (1)基于通用元数据结构建立统一的在线数据库平台; (2)加强网络内保护地数据管理与分析能力建设; (3)为区域内生物多样性保护与保护地管理提供持续支持; (4)针对野生动物种间关系、群落构建机制以及大型食肉动物的生态功能开展深入的动物生态学研究。

关键词: 中国西南山地, 大横断山, 生物多样性监测, 红外相机, 保护地网络, 生物多样性平台

Abstract

The Mountains of Southwest China is a global biodiversity hotspot. The Camera-trapping Network for the Mountains of Southwest China (SW China Network) has been established as one of the regional camera-trapping networks to measure biodiversity in China. This network was first initiated by Peking University in 2002, and now includes numerous partners from academic institutions, universities, conservation organizations, government agencies, and protected area administrations. The SW China Network spans across seven mountain ranges (i.e., Qinling, Minshan, Qionglai, Xiangling, Liangshan, Shaluli and Yunling Mountains) along the eastern edge of the Qinghai-Tibetan Plateau. Forty-one protected areas (e.g., nature reserves, community-managed protected areas, and timberlands, etc.) have joined the network, with each following a standardized survey protocol. Each protected area maintains its own camera-trapping database that is constructed using a common metadata structure. By December 2019, the SW China Network has generated approximately 3,025,900 camera-trapping images (excluding the empty images) at 5,738 survey stations, over 1,207,000 camera-days. An additional ~1,100,000 images are yet to be processed. We have recorded 63 wild mammal species (belonging to 7 orders and 21 families) and 182 wild bird species (belonging to 10 orders and 35 families), among which 18 are listed as Class-I, and 39 as Class-II National Key Protected Species. The network has four focal areas in the future: (1) construct an online data platform based on a common metadata structure, (2) provide training for reserve staff on camera data analysis to build local capacity for data management and analysis, (3) provide supports for regional biodiversity conservation and protected area management, and (4) conduct wildlife ecology research on the interspecific relationship, community assembly mechanisms, and ecological roles of large carnivores.

Key words: Mountains of Southwest China, Great Hengduan Mountains, biodiversity monitoring, camera- trapping, protected area network, biodiversity infrastructure

李晟, William J. McShea, 王大军, 申小莉, 卜红亮, 官天培, 王放, 古晓东, 张晓峰, 廖灏泓 (2020) 西南山地红外相机监测网络建设进展. 生物多样性, 28, 1049-1058. DOI: 10.17520/biods.2020038.

Sheng Li, William J. McShea, Dajun Wang, Xiaoli Shen, Hongliang Bu, Tianpei Guan, Fang Wang, Xiaodong Gu, Xiaofeng Zhang, Haohong Liao (2020) Construction progress of the Camera-trapping Network for the Mountains of Southwest China. Biodiversity Science, 28, 1049-1058. DOI: 10.17520/biods.2020038.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.biodiversity-science.net/CN/10.17520/biods.2020038

https://www.biodiversity-science.net/CN/Y2020/V28/I9/1049

图/表 3

参考文献 26

[1]	He BS, Sun RQ, Chen P, Dong W, Wang J, Wang DJ, Li S (2016) Baseline survey of mammal and bird diversity using camera-trapping in the Changqing National Nature Reserve of Shaanxi Province. Acta Theriologica Sinica, 36, 348-356.(in Chinese with English abstract)
	[ 何百锁, 孙瑞谦, 陈鹏, 董伟, 王军, 王大军, 李晟 (2016) 基于红外相机技术调查长青国家级自然保护区兽类和鸟类多样性. 兽类学报, 36, 348-356.]
[2]	Hu XX, Li JQ, Luo X, Zeweng TX, Chen X, Zhang LS, Guan TP (2019) Preliminary survey of mammal and bird biodiversity using camera traps in the Yading National Nature Reserve of Sichuan Province, China. Acta Theriologica Sinica, 39, 333-343.(in Chinese with English abstract)
	[ 胡茜茜, 李佳琦, 罗旭, 泽翁他许, 陈星, 张卢水, 官天培 (2019) 基于红外相机的四川亚丁国家级自然保护区鸟兽多样性初报. 兽类学报, 39, 333-343.]
[3]	Hu XX, Zheng WC, Li JQ, Li S, Yang H, Chen X, Guan TP (2018) Preliminary survey on mammal and bird diversity at Siguniang Mountains National Nature Reserve, Sichuan, China. Biodiversity Science, 26, 1325-1331.(in Chinese with English abstract)
	[ 胡茜茜, 郑维超, 李佳琦, 李晟, 杨晗, 陈星, 官天培 (2018) 四姑娘山国家级自然保护区鸟兽多样性初步调查. 生物多样性, 26, 1325-1331.]
[4]	Jiang ZG, Jiang JP, Wang YZ, Zhang E, Zhang YY, Li LL, Xie F, Cai B, Cao L, Zheng GM, Dong L, Zhang ZW, Ding P, Luo ZH, Ding CQ, Ma ZJ, Tang SH, Cao WX, Li CW, Hu HJ, Ma Y, Wu Y, Wang YX, Zhou KY, Liu SY, Chen YY, Li JT, Feng ZJ, Wang Y, Wang B, Li C, Song XL, Cai L, Zang CX, Zeng Y, Meng ZB, Fang HX, Ping XG (2016) Red List of China’s Vertebrates. Biodiversity Science, 24, 500-551.(in Chinese and in English)
	[ 蒋志刚, 江建平, 王跃招, 张鹗, 张雁云, 李立立, 谢锋, 蔡波, 曹亮, 郑光美, 董路, 张正旺, 丁平, 罗振华, 丁长青, 马志军, 汤宋华, 曹文宣, 李春旺, 胡慧建, 马勇, 吴毅, 王应祥, 周开亚, 刘少英, 陈跃英, 李家堂, 冯祚建, 王燕, 王斌, 李成, 宋雪琳, 蔡蕾, 臧春鑫, 曾岩, 孟智斌, 方红霞, 平晓鸽 (2016) 中国脊椎动物红色名录. 生物多样性, 24, 500-551.]
[5]	Jiang ZG, Liu SY, Wu Y, Jiang XL, Zhou KY (2017) China’s mammal diversity (2nd edition). Biodiversity Science, 25, 886-895.(in Chinese with English abstract)
	[ 蒋志刚, 刘少英, 吴毅, 蒋学龙, 周开亚 (2017) 中国哺乳动物多样性(第2版). 生物多样性, 25, 886-895.]
[6]	Lei KM, Sun HO, Mai L, Kuang PG, Liu Y, Zhao SJ, Xiao CL, Liu Y (2016) Using the infrared camera to investigate animal diversity in Jiuzhaigou National Nature Reserve. Journal of Sichuan Forestry Science and Technology, 37(1), 88-91.(in Chinese with English abstract)
	[ 雷开明, 孙鸿鸥, 麦浪, 旷培刚, 刘源, 赵上娟, 肖长林, 刘洋 (2016) 利用红外相机调查九寨沟国家级自然保护区鸟兽多样性. 四川林业科技, 37(1), 88-91.]
[7]	Li JQ, Xu HG, Wan YQ, Sun JX, Li S, Cai L (2018) Progress in construction of China Mammal Diversity Observation Network (China BON-Mammals). Journal of Ecology and Rural Environment, 34, 12-19.(in Chinese with English abstract)
	[ 李佳琦, 徐海根, 万雅琼, 孙佳欣, 李晟, 蔡蕾 (2018) 全国哺乳动物多样性观测网络(China BON-Mammals)建设进展. 生态与农村环境学报, 34, 12-19.]
[8]	Li S, McShea WJ, Wang D, Huang J, Shao L (2012a) A direct comparison of camera-trapping and sign transects for monitoring wildlife in the Wanglang National Nature Reserve, China. Wildlife Society Bulletin, 36, 538-545.
[9]	Li S, McShea WJ, Wang D, Lu Z, Gu X (2012b) Gauging the impact of management expertise on the distribution of large mammals across protected areas. Diversity and Distributions, 18, 1166-1176.
[10]	Li S, McShea WJ, Wang DJ, Gu XD, Zhang XF, Zhang L, Shen XL (2020) Retreat of large carnivores across the giant panda distribution range. Nature Ecology & Evolution, 4, 1327-1331. URL PMID
[11]	Li S, Wang DJ, Bu HL, Liu XG, Jin T (2016) Camera-trapping survey on the mammal diversity of the Laohegou Nature Reserve, Sichuan Province. Acta Theriologica Sinica, 36, 282-291.(in Chinese with English abstract)
	[ 李晟, 王大军, 卜红亮, 刘小庚, 靳彤 (2016) 四川省老河沟自然保护区兽类多样性红外相机调查. 兽类学报, 36, 282-291.]
[12]	Li S, Wang DJ, Gu XD, McShea WJ (2010a) Beyond pandas, the need for a standardized monitoring protocol for large mammals in Chinese nature reserves. Biodiversity and Conservation, 19, 3195-3206.
[13]	Li S, Wang DJ, Lu Z, McShea WJ (2010b) Cats living with pandas: The status of wild felids within giant panda range, China. Cat News, 52, 20-23.
[14]	Li S, Wang DJ, Xiao ZS, Li XH, Wang TM, Feng LM, Wang Y (2014) Camera-trapping in wildlife research and conservation in China: Review and outlook. Biodiversity Science, 22, 685-695.(in Chinese with English abstract) DOI URL
	[ 李晟, 王大军, 肖治术, 李欣海, 王天明, 冯利民, 王云 (2014) 红外相机技术在我国野生动物研究与保护中的应用与前景. 生物多样性, 22, 685-695.]
[15]	McShea WJ, Forrester T, Costello R, He Z, Kays R (2016) Volunteer-run cameras as distributed sensors for macrosystem mammal research. Landscape Ecology, 31, 55-66. DOI URL
[16]	Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature, 403, 853-858. URL PMID
[17]	Shang XT, Luo CP, Li B, Zheng Y, Zhou ZQ, Zhang L, Li S (2020) Diversity and fauna composition of birds in the Wanglang National Nature Reserve, Sichuan. Sichuan Journal of Zoology, 39, 93-106.(in Chinese with English abstract)
	[ 尚晓彤, 罗春平, 李斌, 郑勇, 周智强, 张立, 李晟 (2020) 四川王朗国家级自然保护区鸟类多样性与区系组成. 四川动物, 39, 93-106.]
[18]	Shen XL, Li S, McShea WJ, Wang DJ, Yu JP, Shi XG, Dong W, Mi XC, Ma KP (2020) Effectiveness of management zoning designed for flagship species in protecting sympatric species. Conservation Biology, 34, 158-167. DOI URL PMID
[19]	Shi XG, Hu Q, Li JQ, Tang Z, Yang J, Li WJ, Shen XL, Li S (2017) Camera-trapping surveys of the mammal and bird diversity in Wolong National Nature Reserve, Sichuan Province. Biodiversity Science, 25, 1131-1136.(in Chinese with English abstract) DOI URL
	[ 施小刚, 胡强, 李佳琦, 唐卓, 杨建, 李文静, 申小莉, 李晟 (2017) 利用红外相机调查四川卧龙国家级自然保护区鸟兽多样性. 生物多样性, 25, 1131-1136.]
[20]	Shi XY, Shi XG, Hu Q, Guan TP, Fu Q, Zhang J, Yao M, Li S (2019) Evaluating the potential habitat overlap and predation risk between snow leopards and free-range yaks in the Qionglai Mountains, Sichuan. Biodiversity Science, 27, 951-959.(in Chinese with English abstract) DOI URL
	[ 史晓昀, 施小刚, 胡强, 官天培, 付强, 张剑, 姚蒙, 李晟 (2019) 四川邛崃山脉雪豹与散放牦牛潜在分布重叠与捕食风险评估. 生物多样性, 27, 951-959.]
[21]	Wang DJ, Li S, McShea WJ, Li MF (2006) Use of remote-trip cameras for wildlife surveys and evaluating the effectiveness of conservation activities at a nature reserve in Sichuan Province, China. Environmental Management, 28, 942-951.
[22]	Wang F, McShea WJ, Wang DJ, Li S (2015) Shared resources between giant panda and sympatric wild and domestic mammals. Biological Conservation, 186, 319-325. DOI URL
[23]	Wang F, McShea WJ, Wang DJ, Li S, Zhao Q, Wang H, Lu Z (2014) Evaluating landscape options for corridor restoration between giant panda reserves. PLoS ONE, 9, e105086. DOI URL PMID
[24]	Xu HM, Wang HH, Zhang ZY, Lei JD, Li SW (2018) Evidence of wolf occurrence in the southern area of the Three Parallel Rivers Region. Sichuan Journal of Zoology, 37, 463-464.(in Chinese)
	[ 徐会明, 王浩瀚, 张志云, 雷建东, 李施文 (2018) 狼分布于三江并流区南部区域的实证资料. 四川动物, 37, 463-464.]
[25]	Zheng GM (2017) A Checklist on the Classification and Distribution of the Birds of China, 3rd edn. Science Press, Beijing.(in Chinese)
	[ 郑光美 (2017) 中国鸟类分类与分布名录(第三版), 科学出版社, 北京.]
[26]	Zhu SY, Duan F, Li S (2017) Promoting diversity inventory and monitoring of birds through the camera-trapping network in China: Status, challenges and future outlook. Biodiversity Science, 25, 1114-1122.(in Chinese with English abstract) DOI URL
	[ 朱淑怡, 段菲, 李晟 (2017) 基于红外相机网络促进我国鸟类多样性监测: 现状、问题与前景. 生物多样性, 25, 1114-1122.]

名称 Name		省区Province*		样区类型Type**		面积 Area (km²)	中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year			数据截至 Data by	网格大小 Grid size			已处理数据 Processed data						未处理照片数 No. of un-processed images (×10⁴)
名称 Name		省区Province*		样区类型Type**		面积 Area (km²)	中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year			数据截至 Data by	网格大小 Grid size			总有效相机工作日 Camera- days		有效相机位点数 No. of survey stations		照片数 No. of images (×10⁴)		未处理照片数 No. of un-processed images (×10⁴)
秦岭 Qinling Mountains
1. 平河梁 PHL		SX		NNR		211	108.49°		33.46°		2017			2019	0.5 km × 0.5 km			1,679		36		1.36		0.00
2. 观音山 GYS		SX		NNR		135	107.94°		33.65°		2017			2019	0.5 km × 0.5 km			1,435		28		2.45		0.00
3. 老县城 LXC		SX		NNR		126	107.74°		33.78°		2017			2019	0.5 km × 0.5 km			1,352		27		1.45		0.00
4. 黄柏塬 HBY		SX		NNR		218	107.62°		33.82°		2010			2013	1 km × 1 km			7,729		162		17.29		0.00
5. 长青 CQ		SX		NNR		299	107.62°		33.53°		2008			2019	1 km × 1 km			22,339		602		7.24		9.88
6. 牛尾河 NWH		SX		PNR		135	107.34°		33.73°		2010			2013	1 km × 1 km			8,327		145		15.55		4.24
岷山 Minshan Mountains
7. 唐家河 TJH		SC		NNR		400	104.76°		32.58°		2001			2019	1 km × 1 km			305,140		836		64.56		24.00
8. 老河沟 LHG		SC		LPA		110	104.70°		32.51°		2016			2019	1 km × 1 km			118,575		210		37.81		0.00
9. 福寿 FS		SC		CPA		19	104.75°		32.46°		2019			2019	1 km × 1 km			3,000		16		1.56		0.00
10. 薅子坪 HZP		SC		CPA		47	104.59°		32.57°		2018			2019	1 km × 1 km			10,000		28		2.15		0.00
11. 黄土梁 HTL		SC		TL		400	104.32°		32.80°		2011			2013	1 km × 1 km			5,691		170		7.8		0.00
12. 小河沟 XHG		SC		PNR		282	104.32°		32.61°		2005			2019	1 km × 1 km			17,145		267		0.91		0.20
13. 大桥 DQ		SC		TL		58	104.26°		32.32°		2017			2017	1 km × 1 km			1,679		29		0.29		0.00
14. 宽坝 KB		SC		TL		40	104.28°		32.17°		2015			2016	1 km × 1 km			2,062		49		0.53		0.00
15. 王朗 WL		SC		NNR		323	104.07°		32.97°		2004			2019	1 km × 1 km, 0.02 km × 0.02 km			29,890		380		13.53		8.50
16. 九寨沟 JZG		SC		NNR		643	103.88°		33.12°		2013			2019	1 km × 1 km			19,144		87		3.68		0.00
17. 雪宝顶 XBD		SC		NNR		636	103.89°		32.55°		2005			2019	1 km × 1 km			11,310		65		5.74		2.45
18. 小寨子沟 XZZG		SC		NNR		444	103.88°		31.95°		2017			2019	2 km × 2 km			22,140		164		1.08		18.23
19. 龙溪-虹口 LXHK		SC		NNR		310	103.62°		31.23°		2011			2019	1 km × 1 km			169,602		69		9.42		0.30
邛崃山 Qionglai Mountains
20. 卧龙 WWL		SC		NNR		2,000	103.23°		31.05°		2006			2019	1 km × 1 km, 5 km × 5 km			126,286		503		28.15		0.53
21. 鞍子河 AZH		SC		PNR		150	103.22°		30.80°		2010			2019	1 km × 1 km			24,229		171		7.93		0.73
22. 黑水河 HSH		SC		PNR		318	103.04°		30.77°		2014			2019	1 km × 1 km			6,144		52		6.17		6.00
23. 米亚罗 MYL		SC		PNR		3,688	102.83°		31.66°		2018			2019	1 km × 1 km			19,182		59		4.89		1.61
24. 四姑娘山 SGNS		SC		NNR		485	102.75°		31.25°		2017			2018	1 km × 1 km			11,013		61		2.23		0.00
相岭-凉山 Xiangling-Liangshan Mountains
25. 八月林 BYL		SC		CNR		102	102.98°		29.14°		2015			2019	1 km × 1 km			19,588		49		1.99		0.00
26. 黑竹沟 HZG		SC		NNR		296	102.97°		28.89°		2014			2016	1 km × 1 km			2,030		46		1.52		6.47
27. 美姑大风顶 MG		SC		NNR		506	103.11°		28.67°		2014			2016	1 km × 1 km			1,655		34		2.24		6.99
28. 申果庄 SGZ		SC		PNR		337	102.87°		28.53°		2008			2019	沿样线设置 Along transects			10,259		145		4.05		0.00
29. 冶勒 YL		SC		PNR		243	102.10°		28.91°		2008			2019	1 km × 1 km			7,500		125		2.50		0.00
沙鲁里山 Shaluli Mountains
30. 格西沟 GXG		SC		NNR		229	100.93°		30.05°		2016			2019	1 km × 1 km			29,588		58		4.51		4.10
31. 措柯 CK		SC		NA		91	100.68°		29.94°		2016			2019	1 km × 1 km			23,170		58		3.07		2.79
32. 柯拉 KL		SC		NA		79	100.54°		29.88°		2016			2019	1 km × 1 km			17,520		48		1.69		1.53
33. 神仙山 SXS		SC		PNR		391	100.73°		29.71°		2016			2019	1 km × 1 km			29,470		78		4.02		0.93
34. 雄龙西 XLX		SC		PNR		1,711	100.15°		30.92°		2018			2019	4 km × 4 km			14,493		113		2.14		0.00
名称 Name	省区Province*		样区类型Type**		面积 Area (km²)			中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year	数据截至 Data by			网格大小 Grid size	已处理数据 Processed data						未处理照片数 No. of un-processed images (×10⁴)
名称 Name	省区Province*		样区类型Type**		面积 Area (km²)			中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year	数据截至 Data by			网格大小 Grid size	总有效相机工作日 Camera- days		有效相机位点数 No. of survey stations		照片数 No. of images (×10⁴)		未处理照片数 No. of un-processed images (×10⁴)
35. 海子山 HZS	SC		NNR		4,592			99.78°		29.65°		2019	2019			1 km × 1 km	2,040		20		0		2.10
36. 亚丁 YD	SC		NNR		1,233			100.20°		28.49°		2017	2019			1 km × 1 km	28,807		58		12.98		1.38
37. 竹巴笼 ZBL	SC		PNR		282			99.06°		29.68°		2019	2019			1 km × 1 km	1,980		20		0		2.00
云岭 Yunling Mountains
38. 老君山 LJS	YN		NGP		1,110			99.63°		26.85°		2013	2019			1 km × 1 km	61,200		510		13.26		2.60
39. 巴美 BM	YN		LPA		70			98.71°		28.85°		2017	2019			沿样线设置 Along transects	1,805		10		0.35		0
40. 云岭 LPYL	YN		PNR		759			99.31°		26.42°		2015	2019			1 km × 1 km	4,800		60		1.80		1.80
41. 云龙天池 YLTC	YN		NNR		145			99.28°		25.89°		2015	2019			1 km × 1 km	6,400		90		2.70		1.80
合计 Total					23,653												1,207,398		5,738		302.59		111.16

名称 Name		省区Province*		样区类型Type**		面积 Area (km²)	中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year			数据截至 Data by	网格大小 Grid size			已处理数据 Processed data						未处理照片数 No. of un-processed images (×10⁴)
名称 Name		省区Province*		样区类型Type**		面积 Area (km²)	中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year			数据截至 Data by	网格大小 Grid size			总有效相机工作日 Camera- days		有效相机位点数 No. of survey stations		照片数 No. of images (×10⁴)		未处理照片数 No. of un-processed images (×10⁴)
秦岭 Qinling Mountains
1. 平河梁 PHL		SX		NNR		211	108.49°		33.46°		2017			2019	0.5 km × 0.5 km			1,679		36		1.36		0.00
2. 观音山 GYS		SX		NNR		135	107.94°		33.65°		2017			2019	0.5 km × 0.5 km			1,435		28		2.45		0.00
3. 老县城 LXC		SX		NNR		126	107.74°		33.78°		2017			2019	0.5 km × 0.5 km			1,352		27		1.45		0.00
4. 黄柏塬 HBY		SX		NNR		218	107.62°		33.82°		2010			2013	1 km × 1 km			7,729		162		17.29		0.00
5. 长青 CQ		SX		NNR		299	107.62°		33.53°		2008			2019	1 km × 1 km			22,339		602		7.24		9.88
6. 牛尾河 NWH		SX		PNR		135	107.34°		33.73°		2010			2013	1 km × 1 km			8,327		145		15.55		4.24
岷山 Minshan Mountains
7. 唐家河 TJH		SC		NNR		400	104.76°		32.58°		2001			2019	1 km × 1 km			305,140		836		64.56		24.00
8. 老河沟 LHG		SC		LPA		110	104.70°		32.51°		2016			2019	1 km × 1 km			118,575		210		37.81		0.00
9. 福寿 FS		SC		CPA		19	104.75°		32.46°		2019			2019	1 km × 1 km			3,000		16		1.56		0.00
10. 薅子坪 HZP		SC		CPA		47	104.59°		32.57°		2018			2019	1 km × 1 km			10,000		28		2.15		0.00
11. 黄土梁 HTL		SC		TL		400	104.32°		32.80°		2011			2013	1 km × 1 km			5,691		170		7.8		0.00
12. 小河沟 XHG		SC		PNR		282	104.32°		32.61°		2005			2019	1 km × 1 km			17,145		267		0.91		0.20
13. 大桥 DQ		SC		TL		58	104.26°		32.32°		2017			2017	1 km × 1 km			1,679		29		0.29		0.00
14. 宽坝 KB		SC		TL		40	104.28°		32.17°		2015			2016	1 km × 1 km			2,062		49		0.53		0.00
15. 王朗 WL		SC		NNR		323	104.07°		32.97°		2004			2019	1 km × 1 km, 0.02 km × 0.02 km			29,890		380		13.53		8.50
16. 九寨沟 JZG		SC		NNR		643	103.88°		33.12°		2013			2019	1 km × 1 km			19,144		87		3.68		0.00
17. 雪宝顶 XBD		SC		NNR		636	103.89°		32.55°		2005			2019	1 km × 1 km			11,310		65		5.74		2.45
18. 小寨子沟 XZZG		SC		NNR		444	103.88°		31.95°		2017			2019	2 km × 2 km			22,140		164		1.08		18.23
19. 龙溪-虹口 LXHK		SC		NNR		310	103.62°		31.23°		2011			2019	1 km × 1 km			169,602		69		9.42		0.30
邛崃山 Qionglai Mountains
20. 卧龙 WWL		SC		NNR		2,000	103.23°		31.05°		2006			2019	1 km × 1 km, 5 km × 5 km			126,286		503		28.15		0.53
21. 鞍子河 AZH		SC		PNR		150	103.22°		30.80°		2010			2019	1 km × 1 km			24,229		171		7.93		0.73
22. 黑水河 HSH		SC		PNR		318	103.04°		30.77°		2014			2019	1 km × 1 km			6,144		52		6.17		6.00
23. 米亚罗 MYL		SC		PNR		3,688	102.83°		31.66°		2018			2019	1 km × 1 km			19,182		59		4.89		1.61
24. 四姑娘山 SGNS		SC		NNR		485	102.75°		31.25°		2017			2018	1 km × 1 km			11,013		61		2.23		0.00
相岭-凉山 Xiangling-Liangshan Mountains
25. 八月林 BYL		SC		CNR		102	102.98°		29.14°		2015			2019	1 km × 1 km			19,588		49		1.99		0.00
26. 黑竹沟 HZG		SC		NNR		296	102.97°		28.89°		2014			2016	1 km × 1 km			2,030		46		1.52		6.47
27. 美姑大风顶 MG		SC		NNR		506	103.11°		28.67°		2014			2016	1 km × 1 km			1,655		34		2.24		6.99
28. 申果庄 SGZ		SC		PNR		337	102.87°		28.53°		2008			2019	沿样线设置 Along transects			10,259		145		4.05		0.00
29. 冶勒 YL		SC		PNR		243	102.10°		28.91°		2008			2019	1 km × 1 km			7,500		125		2.50		0.00
沙鲁里山 Shaluli Mountains
30. 格西沟 GXG		SC		NNR		229	100.93°		30.05°		2016			2019	1 km × 1 km			29,588		58		4.51		4.10
31. 措柯 CK		SC		NA		91	100.68°		29.94°		2016			2019	1 km × 1 km			23,170		58		3.07		2.79
32. 柯拉 KL		SC		NA		79	100.54°		29.88°		2016			2019	1 km × 1 km			17,520		48		1.69		1.53
33. 神仙山 SXS		SC		PNR		391	100.73°		29.71°		2016			2019	1 km × 1 km			29,470		78		4.02		0.93
34. 雄龙西 XLX		SC		PNR		1,711	100.15°		30.92°		2018			2019	4 km × 4 km			14,493		113		2.14		0.00
名称 Name	省区Province*		样区类型Type**		面积 Area (km²)			中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year	数据截至 Data by			网格大小 Grid size	已处理数据 Processed data						未处理照片数 No. of un-processed images (×10⁴)
名称 Name	省区Province*		样区类型Type**		面积 Area (km²)			中心经度Longitude (E)		中心纬度Latitude (N)		起始年份 Start year	数据截至 Data by			网格大小 Grid size	总有效相机工作日 Camera- days		有效相机位点数 No. of survey stations		照片数 No. of images (×10⁴)		未处理照片数 No. of un-processed images (×10⁴)
35. 海子山 HZS	SC		NNR		4,592			99.78°		29.65°		2019	2019			1 km × 1 km	2,040		20		0		2.10
36. 亚丁 YD	SC		NNR		1,233			100.20°		28.49°		2017	2019			1 km × 1 km	28,807		58		12.98		1.38
37. 竹巴笼 ZBL	SC		PNR		282			99.06°		29.68°		2019	2019			1 km × 1 km	1,980		20		0		2.00
云岭 Yunling Mountains
38. 老君山 LJS	YN		NGP		1,110			99.63°		26.85°		2013	2019			1 km × 1 km	61,200		510		13.26		2.60
39. 巴美 BM	YN		LPA		70			98.71°		28.85°		2017	2019			沿样线设置 Along transects	1,805		10		0.35		0
40. 云岭 LPYL	YN		PNR		759			99.31°		26.42°		2015	2019			1 km × 1 km	4,800		60		1.80		1.80
41. 云龙天池 YLTC	YN		NNR		145			99.28°		25.89°		2015	2019			1 km × 1 km	6,400		90		2.70		1.80
合计 Total					23,653												1,207,398		5,738		302.59		111.16

西南山地红外相机监测网络建设进展

Construction progress of the Camera-trapping Network for the Mountains of Southwest China

RichHTML

PDF (PC)

补充材料

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 26

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张明军, 王合升, 颜文博, 符运南, 王琦, 曾治高. 海南大田国家级自然保护区小灵猫的活动节律与栖息地选择[J]. 生物多样性, 2024, 32(6): 23420-.
[2]	楼晨阳, 任海保, 陈小南, 米湘成, 童冉, 朱念福, 陈磊, 吴统贵, 申小莉. 钱江源国家公园森林群落的物种多样性、结构多样性及其对黑麂出现概率的影响[J]. 生物多样性, 2023, 31(6): 22518-.
[3]	赵坤明, 陈圣宾, 杨锡福. 基于红外相机技术调查四川都江堰破碎化森林鸟兽多样性及优势种活动节律[J]. 生物多样性, 2023, 31(6): 22529-.
[4]	陈本平, 陈建武, 凌征文, 杨旭, 陈鑫, 李生强, 杨彪. 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[J]. 生物多样性, 2023, 31(5): 22566-.
[5]	李珍珍, 杜梦甜, 朱原辛, 王大伟, 李治霖, 王天明. 基于红外相机的不可个体识别动物种群密度估算方法[J]. 生物多样性, 2023, 31(3): 22422-.
[6]	王怡涵, 赵倩倩, 刁奕欣, 顾伯健, 翁悦, 张卓锦, 陈泳滨, 王放. 基于红外相机调查上海市区小灵猫的活动节律、栖息地利用及其对人类活动的响应[J]. 生物多样性, 2023, 31(2): 22294-.
[7]	史湘莹, 李雪阳, 魏春玥, 孙戈, 刘震, 赵翔, 周嘉鼎, 樊简, 李成, 吕植. 雅鲁藏布大峡谷鸟兽多样性及其海拔和季节分布[J]. 生物多样性, 2023, 31(2): 22491-.
[8]	孙翊斐, 王士政, 冯佳伟, 王天明. 东北虎豹国家公园森林声景的昼夜和季节变化[J]. 生物多样性, 2023, 31(1): 22523-.
[9]	王东, 赛青高娃, 王子涵, 赵宏秀, 连新明. 长江源区同域分布兔狲、藏狐和赤狐的时空重叠度[J]. 生物多样性, 2022, 30(9): 21365-.
[10]	孔玥峤, 刘炎林, 贺成武, 李天醍, 李全亮, 马存新, 王大军, 李晟. 评估荒漠猫的日活动节律: 基于红外相机与卫星颈圈数据的对比[J]. 生物多样性, 2022, 30(9): 22081-.
[11]	初漠嫣, 梁书洁, 李沛芸, 贾丁, 阿卜杜赛麦提·买尔迪亚力, 李雪阳, 姜楠, 赵翔, 李发祥, 肖凌云, 吕植. 三江源国家级自然保护区内云塔村雪豹种群动态[J]. 生物多样性, 2022, 30(9): 22157-.
[12]	邓雪琴, 刘统, 刘天时, 徐恺, 姚松, 黄小群, 肖治术. 河南内乡宝天曼国家级自然保护区豹猫及其潜在猎物之间日活动节律的季节性[J]. 生物多样性, 2022, 30(9): 22263-.
[13]	王双贵, 郭志宏, 顾伯健, 李天醍, 苏玉兵, 马伯丞, 管宏信, 黄巧雯, 王放, 张卓锦. 六盘山华北豹的栖息地利用及保护建议[J]. 生物多样性, 2022, 30(9): 22342-.
[14]	乔江, 贾国清, 周华明, 龚林, 蒋勇, 肖能文, 高晓奇, 温安祥, 王杰. 四川贡嘎山国家级自然保护区鸟兽多样性[J]. 生物多样性, 2022, 30(2): 20395-.
[15]	张健, 孔宏智, 黄晓磊, 傅声雷, 郭良栋, 郭庆华, 雷富民, 吕植, 周玉荣, 马克平. 中国生物多样性研究的30个核心问题[J]. 生物多样性, 2022, 30(10): 22609-.