浙江九龙山国家级自然保护区六种兽类占域分析及其影响因素

郑伟成; 郑子洪; 刘菊莲; 王宇; 杨晓君; 黄林平; 丁平; 曾頔

doi:10.16829/j.slxb.150733

兽类学报 >

2023 , Vol. 43 >Issue 4: 378 - 386

DOI: https://doi.org/10.16829/j.slxb.150733

研究论文

浙江九龙山国家级自然保护区六种兽类占域分析及其影响因素

郑伟成 ,
郑子洪 ,
刘菊莲 ,
王宇 ,
杨晓君 ,
黄林平 ,
丁平 ,
曾頔

展开

1 浙江九龙山国家级自然保护区管理中心, 遂昌 323300;
2 浙江大学生命科学学院, 杭州 310058;
3 华东师范大学生态与环境科学学院, 上海 200241

郑伟成(1976-)，男，高级工程师，主要从事保护区生物多样性保护与研究.

收稿日期: 2022-09-07

修回日期: 2023-04-12

网络出版日期: 2023-08-02

基金资助

遂昌县县校合作项目(2020-HZ15)；丽水市本级公益性技术应用研究项目(2021SJC090)

收起

The occupancy of six mammal species and the potential impacting factors in Jiulongshan National Nature Reserve, Zhejiang Province

ZHENG Weicheng ,
ZHENG Zihong ,
LIU Julian ,
WANG Yu ,
YANG Xiaojun ,
HUANG Linping ,
DING Ping ,
ZENG Di

Expand

1 Administration Center of Zhejiang Jiulongshan National Nature Reserve, Suichang 323300, China;
2 College of Life Sciences, Zhejiang University, Hangzhou 310058, China;
3 School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China

Received date: 2022-09-07

Revised date: 2023-04-12

Online published: 2023-08-02

Fold

摘要

我国是世界上兽类多样性最高的国家之一，也是濒危兽类分布的大国。了解濒危兽类在保护区内的分布及影响因素，将有助于开展科学有效的兽类多样性保护和提高保护区的管理效率。然而现有的研究较多集中于自然保护区内的物种编目，探讨多个物种在保护区内的空间分布格局及其影响因素的研究还相对缺乏。本研究以九龙山国家级自然保护区中6种濒危兽类为研究对象，基于占域模型评估这些物种的空间分布及影响因素，以期为后续的监测和保护提供科学依据。结果表明，藏酋猴(Macaca thibetana)平均占域率最高(48.62%)，豹猫(Prionailurus bengalensis)平均占域率最低(2.14%)；豹猫的平均探测率最高(22.95%)，藏酋猴探测率最低(1.75%)。其中，海拔是影响猕猴(Macaca mulatta)、中华鬣羚(Capricornis milneedwardsii)和豹猫占域率的重要因素，而100 m内是否有水源则是影响黑麂(Muntiacus crinifrons)、中华鬣羚和豹猫探测率的重要因素。本研究表明，海拔是影响九龙山地区濒危兽类分布的重要环境因素，而水源则是影响监测效率的重要环境因素。在后续的监测和管理中，我们应针对这些因素开展监测和保护策略的调整和优化。

关键词： 占域模型; 空间分布格局; 红外相机; 濒危兽类监测; 环境因素

本文引用格式

郑伟成 , 郑子洪 , 刘菊莲 , 王宇 , 杨晓君 , 黄林平 , 丁平 , 曾頔 . 浙江九龙山国家级自然保护区六种兽类占域分析及其影响因素[J]. 兽类学报, 2023 , 43(4) : 378 -386 . DOI: 10.16829/j.slxb.150733

Abstract

China is one of the countries with the most mammal species and threatened mammals in the world. It is essential to understand the spatial distribution of threatened mammals and the underlying impacting factors to enhance the protection efficiency of the natural reserves. Although mammal surveys have been conducted in most nature reserves in China, many researchers have focused on basic data collection. The local distribution of mammals and the potential impacting factors in nature reserves are still unclear, especially for some threatened mammal species. We used camera trap data of six mammal species in Jiulongshan National Nature Reserve to assess the occupancy of these species and the potential impacting factors by the Bayesian single-species occupancy models. The results indicated that the Macaca thibetana had the highest occupancy probability (48. 62%), and Prionailurus bengalensis had the lowest occupancy probability (2. 14%). For detection probability, P. bengalensis was the highest (22. 95%) and M. thibetana was the lowest (1. 75%). Furthermore, altitude was the most important factor in determining the occupancy of M. mulatta, Capricornis milneedwardsii, and P. bengalensis. The probability of water in one hundred meters significantly affected the detections of Muntiacus crinifrons, C. milneedwardsii, and P. bengalensis. The present study reveals that altitude and water are essential environmental factors that affect the occupancy and detection probability, respectively. In the future, nature reserve managers could adjust the monitoring and protective strategies according to our results.

Key words： Occupancy model; Spatial distribution; Camera traps; Endangered mammals; Environmental factors

参考文献

Bailey L L, MacKenzie D I, Nichols J D. 2014. Advances and applications of occupancy models. Methods in Ecology and Evolution, 5(12):1269-1279.
Cao M, Peng L, Liu S. 2015. Analysis of the network of protected areas in China based on a geographic perspective:Current status, issues and integration. Sustainability, 15617-15631.
Chen L, Bao Y X, Zhang L L, Cheng H Y, Zhang J Y, Zhou Y Q. 2010. Seasonal changes in habitat selection by black muntjac(Muntiacus crinifrons) in Jiulong Mountain Nature Reserve. Acta Ecologica Sinica, 30 (5):1227-1237. (in Chinese)
Devarajan K, Morelli T L, Tenan S. 2020. Multi-species occupancy models:review, roadmap, and recommendations. Ecography, 43 (11):1612-1624.
Dirzo R, Young H S, Galetti M, Ceballos G, Isaac N J B, Collen B. 2014. Defaunation in the anthropocene. Science, 345 (6195):401-406.
Dorazio R M, Royle J A. 2005. Estimating size and composition of biological communities by modeling the occurrence of species. Journal of the American Statistical Association, 100 (470):389-398.
Ellison A M. 2004. Bayesian inference in ecology. Ecology Letters, 7(6):509-520.
Iknayan K J, Tingley M W, Furnas B J, Beissinger S R. 2014. Detecting diversity:emerging methods to estimate species diversity.
Trends in Ecology & Evolution, 29 (2):97-106.
Jiang G S, Li J Z. 2021. Research advances and prepectives on habitat assessment and protection of endangered mammals of China. Acta Theriologica Sinica, 41 (5):604-613. (in Chinese)
Kellner K F, Fowler N L, Petroelje T R, Kautz T M, Beyer Jr D E, Belant J L. 2022. ubms:An R package for fitting hierarchical occupancy and N-mixture abundance models in a Bayesian framework. Methods in Ecology and Evolution, 13 (3):577-584.
Lacher T E Jr, Davidson A D, Fleming T H, Gómez-Ruiz E P, McCracken G F, Owen-Smith N, Peres C A, Vander Wall S B. 2019.
The functional roles of mammals in ecosystems. Journal of Mammalogy, 100 (3):942-964.
Li C Q, Tian J P, Yang G M, Peng C C, Su H J. 2022. Preliminary study on the temporal and spatial pattern of the coexistence of four ungulate species in Xishui National Nature Reserve, Guizhou. Journal of Mountain Agriculture and Biology, 41 (4):71-77. (in Chinese)
Li S, McShea W J, Wang D, Huang J, Shao L. 2012. A direct comparison of camera-trapping and sign transects for monitoring wildlife in the Wanglang National Nature Reserve, Chinaa. Wildlife Society Bulletin, 36 (3):538-545.
Li S, Wang D J, Gu X, McShea W J. 2010. Beyond pandas, the need for a standardized monitoring protocol for large mammals in Chinese nature reserves. Biodiversity and Conservation, 19 (11):3195-3206.
Li S, Wang D J, Xiao Z S, Li X H, Wang T M, Feng L M, Wang Y. 2014. Camera-trapping in wildlife research and conservation in China:review and outlook. Biodiversity Science, 22 (6):685-695. (in Chinese)
Liu J L, Zhou Y Y, Pan J H, Zheng W C, Pan C C, Jin X F. 2013. Analyses on community characteristics and population structure of Bretschneidera sinensis in Zhejiang Jiulongshan National Nature Reserve. Journal of Plant Resources and Environment, 22(3):95-99. (in Chinese)
Liu L W, Pan C C, Liu J L, He L. 2015. Resources and fauna of butterflies in Jiulongshan Mountain National Nature Reserve. Chinese Journal of Ecology, 34 (12):3438-3441. (in Chinese)
Liu X H, Wu P F, He X B, Zhao X Y. 2018. Application and data mining of infra-red camera in the monitoring of species. Biodiversity Science, 26 (8):850-861. (in Chinese)
MacKenzie D I, Nichols J D, Lachman G B, Droege S, Andrew R J, Langtimm C A. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology, 83 (8):2248-2255.
Miller D A W, Grant E H C. 2015. Estimating occupancy dynamics for large-scale monitoring networks:amphibian breeding occupancy across protected areas in the northeast United States. Ecology and Evolution, 5 (21):4735-4746.
O'Brien T G, Kinnaird M F, Wibisono H T. 2003. Crouching tigers, hidden prey:Sumatran tiger and prey populations in a tropical forest landscape. Animal Conservation, 6 (2):131-139.
Rich L N, Davis C L, Farris Z J, Miller D A W, Tucker J M, Hamel S, Farhadinia M S, Steenweg R, Di Bitetti M S, Thapa K. 2017. Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys. Global Ecology and Biogeography, 26 (8):918-929.
Rich L N, Miller D A W, Robinson H S, McNutt J W, Kelly M J. 2016. Using camera trapping and hierarchical occupancy modelling to evaluate the spatial ecology of an African mammal community. Journal of Applied Ecology, 53 (4):1225-1235.
Russell R E, Royle J A, Saab V A, Lehmkuhl J F, Block W M, Sauer J R. 2009. Modeling the effects of environmental disturbance on wildlife communities:avian responses to prescribed fire. Ecological Applications, 19 (5):1253-1263.
Shao X N, Song D Z, Huang Q W, Li S, Yao M. 2019. Fast surveys and molecular diet analysis of carnivores based on fecal DNA and metabarcoding. Biodiversity Science, 27 (5):543-556. (in Chinese)
Vehtari A, Gelman A, Gabry J. 2017. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and computing, 27 (5):1413-1432.
Wan Y Q, Wu J, Mo Y M, Wu Z J, Li G F, Xu H G. 2017. Distribution and site occupancy analysis of 11 species of amphibians in Guangxi. Journal of Ecology and Rural Environment, 33 (3):281-287.
Wegge P, Pokheral C P, Jnawali S R. 2004. Effects of trapping effort and trap shyness on estimates of tiger abundance from camera trap studies. Animal Conservation, 7 (3):251-256.
Xiao W H, Shu Z F, Chen L J, Yao W T, Ma Y, Zhang Y M, Xiao Z S. 2019. Using occupancy models in wildlife camera-trapping monitoring and the study case. Biodiversity Science, 27 (3):249-256.(in Chinese)
Xiao Z S, Li X H, Jiang G S. 2014. Applications of camera trapping to wildlife surveys in China. Biodiversity Science, 22 (6):683-684. (in Chinese)
Xiao Z S, Li X Y, Xiang Z F, Li M, Jiang X L, Zhang L B. 2017. Overview of the mammal diversity observation network of Sino BON. Biodiversity Science, 25 (3):237-245. (in Chinese)
Xiao Z S. 2016. Wildife resource inventory using camera-trapping in Natural Reserve in China. Acta Theriologica Sinica, 36 (3):270-271. (in Chinese)
Xu W H, Yue X L, Gao P, Xia S J. 2013. Potential ecological habitat of Muntiacus crinifrons within National Nature Reserve of Mount Tianmu, Zhejiang Province. Journal of Zhejiang A & F University, 30 (6):896-903. (in Chinese)
Zheng W C, Chen Z Q, Zheng Z H, Wang Y, Feng L, Guo K, Ma L, Ding G H, Yu Z C, Shangguan H P. 2021. Monitoring of activity of the Asiatic black bear (Ursus thibetanus) in Zhejiang Jiulongshan National Nature Reserve and prediction of potential suitable distribution in east China. Chinese Journal of Zoology, 56 (4):509-521. (in Chinese)
Zheng W C, Zhang S S, Pan C C, Liu J L, Ji G H. 2014. Mammal and avian diversities detected by infrared camera in Jiulongshan National Nature Reserve. Journal of Zhejiang Forestry Science and Technology, (1):17-22. (in Chinese)
刘立伟, 潘成椿, 刘菊莲, 何亮. 2015. 九龙山国家级自然保护区蝶类资源与区系. 生态学杂志, 34 (12):3438-3442.
刘菊莲, 周莹莹, 潘建华, 郑伟成, 潘成椿, 金孝锋. 2013. 浙江九龙山国家级自然保护区伯乐树群落特征及种群结构分析. 植物资源与环境学报, 22 (3):95-99.
刘雪华, 武鹏峰, 何祥博, 赵翔宇. 2018. 红外相机技术在物种监测中的应用及数据挖掘. 生物多样性, 26 (8):850-861.
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 (6):685-695.
李崇清, 田基鹏, 杨光美, 彭彩淳, 粟海军. 2022. 贵州习水国家级自然保护区 4 种有蹄类共存时空格局初探. 山地农业生物学报, 41 (4):71-77.
肖文宏, 束祖飞, 陈立军, 姚武韬, 马勇, 张应明, 肖治术. 2019. 占域模型的原理及在野生动物红外相机研究中的应用案例. 生物多样性, 27 (3):249-256.
肖治术, 李欣海, 姜广顺. 2014. 红外相机技术在我国野生动物监测研究中的应用. 生物多样性, 22 (6):683-684.
肖治术, 李学友, 向左甫, 李明, 蒋学龙, 张礼标. 2017. 中国兽类多样性监测网的建设规划与进展. 生物多样性, 25 (3):237-245.
肖治术. 2016. 红外相机技术促进我国自然保护区野生动物资源编目调查. 兽类学报, 36 (3):270-271.
陈良, 鲍毅新, 张龙龙, 程宏毅, 张家银, 周元庆. 2010. 九龙山保护区黑麂栖息地选择的季节变化. 生态学报, 30 (5):1227-1237.
邵昕宁, 宋大昭, 黄巧雯, 李晟, 姚蒙. 2019. 基于粪便 DNA 及宏条形码技术的食肉动物快速调查及食性分析. 生物多样性, 27(5):543-556.
郑伟成, 陈智强, 郑子洪, 王宇, 冯磊, 郭坤, 马力, 丁国骅, 余著成, 上官海平. 2021. 浙江九龙山国家级自然保护区黑熊活动监测及其华东地区潜在分布区预测. 动物学杂志, 56 (4):509-521.
郑伟成, 章书声, 潘成椿, 刘菊莲, 季国华. 2014. 红外相机技术监测九龙山国家级自然保护区鸟兽多样性. 浙江林业科技, (1):17-22.
姜广顺, 李京芝. 2021. 中国濒危兽类栖息地评估与保护研究进展与展望. 兽类学报, 41 (5):604-613.
徐文辉, 岳晓雷, 高鹏, 夏淑娟. 2013. 天目山国家级自然保护区黑麂潜在栖息地的生态适宜性. 浙江农林大学学报, 30 (6):896-903.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献