Biodiv Sci ›› 2024, Vol. 32 ›› Issue (10): 24262. DOI: 10.17520/biods.2024262 cstr: 32101.14.biods.2024262
• Original Papers • Previous Articles Next Articles
Juan Tan1,2, Dandan Zhu3, Qing Wang1, Min Wang1,*()
Received:
2024-06-25
Accepted:
2024-09-12
Online:
2024-10-20
Published:
2024-12-09
Contact:
*E-mail: wangm@saes.sh.cn
Supported by:
Juan Tan, Dandan Zhu, Qing Wang, Min Wang. Application of passive acoustic technology in monitoring bird diversity in urban park green space: A case study of Chunshen Park in Minhang District, Shanghai[J]. Biodiv Sci, 2024, 32(10): 24262.
Fig. 1 Distribution of voicing equipments and survey transects for bird biodiversity monitoring in Chunshen Park. CS1, Mixed forest in forest-wetland complex; CS2, Monotypic forest in forest-wetland complex; CS3, Mixed forest.
处理流程 Process flow | 数据状态 Data status | 数据量 Data volume | ||
---|---|---|---|---|
林湿复合混交林 Mixed forest in forest-wetland complex (CS1) | 林湿复合纯林 Monotypic forest in forest-wetland complex (CS2) | 混交林 Mixed forest (CS3) | ||
1. 筛选置信度 ≥ 60%的独立事件数据 Filter independent event data with a confidence level of at least 60% | 有效数据 Valid data | 6,368 | 3,335 | 1,650 |
2. 专家初步确认 Preliminary confirmation by experts | 确认 Confirm | 6,289 | 3,298 | 1,624 |
待确认 To be confirmed | 79 | 37 | 26 | |
3. 二次识别确认 Secondary identification confirmation | 无效数据 Invalid data | 14 | 2 | 4 |
确认 Confirm | 26 | 10 | 8 | |
修改 Modify | 39 | 25 | 14 | |
4. 最终确认 Final confirmation | 准确数据 Accurate data | 6,354 | 3,333 | 1,646 |
Table 1 Data processing information of acoustic equipment for bird biodiversity monitoring in Chunshen Park
处理流程 Process flow | 数据状态 Data status | 数据量 Data volume | ||
---|---|---|---|---|
林湿复合混交林 Mixed forest in forest-wetland complex (CS1) | 林湿复合纯林 Monotypic forest in forest-wetland complex (CS2) | 混交林 Mixed forest (CS3) | ||
1. 筛选置信度 ≥ 60%的独立事件数据 Filter independent event data with a confidence level of at least 60% | 有效数据 Valid data | 6,368 | 3,335 | 1,650 |
2. 专家初步确认 Preliminary confirmation by experts | 确认 Confirm | 6,289 | 3,298 | 1,624 |
待确认 To be confirmed | 79 | 37 | 26 | |
3. 二次识别确认 Secondary identification confirmation | 无效数据 Invalid data | 14 | 2 | 4 |
确认 Confirm | 26 | 10 | 8 | |
修改 Modify | 39 | 25 | 14 | |
4. 最终确认 Final confirmation | 准确数据 Accurate data | 6,354 | 3,333 | 1,646 |
Fig. 2 Comparison of bird community composition between acoustic monitoring and line transect surveys in Chunshen Park. CS1, Mixed forest in forest-wetland complex; CS2, Monotypic forest in forest-wetland complex; CS3, Mixed forest.
监测方法 Monitoring method | 多样性指数 Diversity index | 林湿复合混交林 Mixed forest in forest-wetland complex (CS1) | 林湿复合纯林 Monotypic forest in forest-wetland complex (CS2) | 混交林 Mixed forest (CS3) |
---|---|---|---|---|
声纹监测 Acoustic monitoring | Simpson优势度指数 Simpson dominance index | 0.269 | 0.210 | 0.172 |
Shannon-Wiener多样性指数 Shannon-Wiener diversity index | 1.408 | 1.336 | 1.600 | |
Pielou均匀度指数 Pielou evenness index | 0.374 | 0.376 | 0.458 | |
样线调查 Line transect surveys | Simpson优势度指数 Simpson dominance index | 0.106 | 0.159 | 0.486 |
Shannon-Wiener多样性指数 Shannon-Wiener diversity index | 2.646 | 2.135 | 1.316 | |
Pielou均匀度指数 Pielou evenness index | 0.771 | 0.788 | 0.475 |
Table 2 Characteristics of bird communities investigated by acoustic monitoring and line transect surveys in Chunshen Park
监测方法 Monitoring method | 多样性指数 Diversity index | 林湿复合混交林 Mixed forest in forest-wetland complex (CS1) | 林湿复合纯林 Monotypic forest in forest-wetland complex (CS2) | 混交林 Mixed forest (CS3) |
---|---|---|---|---|
声纹监测 Acoustic monitoring | Simpson优势度指数 Simpson dominance index | 0.269 | 0.210 | 0.172 |
Shannon-Wiener多样性指数 Shannon-Wiener diversity index | 1.408 | 1.336 | 1.600 | |
Pielou均匀度指数 Pielou evenness index | 0.374 | 0.376 | 0.458 | |
样线调查 Line transect surveys | Simpson优势度指数 Simpson dominance index | 0.106 | 0.159 | 0.486 |
Shannon-Wiener多样性指数 Shannon-Wiener diversity index | 2.646 | 2.135 | 1.316 | |
Pielou均匀度指数 Pielou evenness index | 0.771 | 0.788 | 0.475 |
Fig. 3 Seasonal variation characteristics of bird community structure surveyed by acoustic monitoring and line transect surveys. CS1, Mixed forest in forest-wetland complex; CS2, Monotypic forest in forest-wetland complex; CS3, Mixed forest.
[1] |
Alcocer I, Lima H, Sugai LSM, Llusia D (2022) Acoustic indices as proxies for biodiversity: A meta-analysis. Biological Reviews of the Cambridge Philosophical Society, 97, 2209-2236.
DOI PMID |
[2] | Budka M, Jobda M, Szałański P, Piórkowski H (2022) Acoustic approach as an alternative to human-based survey in bird biodiversity monitoring in agricultural meadows. PLoS ONE, 17, e0266557. |
[3] | Campos IB, Landers TJ, Lee KD, Lee WG, Friesen MR, Gaskett AC, Ranjard L (2019) Assemblage of focal species recognizers-AFSR: A technique for decreasing false indications of presence from acoustic automatic identification in a multiple species context. PLoS ONE, 14, e0212727. |
[4] |
Cen YH, Wang P, Chen QC, Zhang CY, Yu S, Hu K, Liu Y, Xiao RB (2023) Spatiotemporal characteristics and influencing factors of animal soundscape in urban green spaces. Biodiversity Science, 31, 22359. (in Chinese with English abstract)
DOI |
[岑渝华, 王鹏, 陈庆春, 张承云, 余上, 胡珂, 刘阳, 肖荣波 (2023) 城市绿地动物声景的时空特征及其驱动因素. 生物多样性, 31, 22359.]
DOI |
|
[5] | Da Silva A, Samplonius JM, Schlicht E, Valcu M, Kempenaers B (2014) Artificial night lighting rather than traffic noise affects the daily timing of dawn and dusk singing in common European songbirds. Behavioral Ecology, 25, 1037-1047. |
[6] | Kahl S (2020) Bird NET: A deep learning solution for avian diversity monitoring. Ecological Informatics, 55, 101019. |
[7] |
Keitt TH, Abelson ES (2021) Ecology in the age of automation. Science, 373, 858-859.
DOI PMID |
[8] | Knight EC, Hannah KC, Foley GJ, Scott CD, Brigham RM, Bayne E (2017) Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs. Avian Conservation and Ecology, 12, 14. |
[9] | Kumar P, Singh R (2023) Artificial intelligence and machine learning for automatic wildlife identification: Recent trends and future directions. Computer Applications in Engineering Education, 31, 220-237. |
[10] |
Li G, Fang C, Li Y, Wang Z, Sun S, He S, Qi W, Bao C, Ma H, Fan Y, Feng Y, Liu X (2022) Global impacts of future urban expansion on terrestrial vertebrate diversity. Nature Communications, 13, 1628.
DOI PMID |
[11] | Lu Y, Yang Y, Sun B, Yuan J, Yu M, Stenseth NC, Bullock JM, Obersteiner M (2020) Spatial variation in biodiversity loss across China under multiple environmental stressors. Science Advances, 6, eabd0952. |
[12] | Lun KH, Zhang YY, Xia CW (2017) Bird diversity monitoring based on sound index. Bulletin of Biology, 52(11), 1-5. (in Chinese) |
[伦可环, 张雁云, 夏灿玮 (2017) 基于声音指数的鸟类多样性监测. 生物学通报, 52(11), 1-5.] | |
[13] | McDonald RI, Mansur AV, Ascensão F, Colbert M, Crossman K, Elmqvist T, Gonzalez A, Güneralp B, Haase D, Hamann M, Hillel O, Huang K, Kahnt B, Maddox D, Pacheco A, Pereira HM, Seto KC, Simkin R, Walsh B, Werner AS, Ziter C (2020) Research gaps in knowledge of the impact of urban growth on biodiversity. Nature Sustainability, 3, 16-24. |
[14] | Mendes R, Nunes VL, Marabuto E, Costa GJ, Silva SE, Paulo OS, Simões PC (2023) Testing drivers of acoustic divergence in cicadas (Cicadidae: Tettigettalna). Journal of Evolutionary Biology, 36, 461-479. |
[15] | Oestreich WK, Oliver RY, Chapman MS, Go M, McKenna MF (2024) Listening to animal behavior to understand changing ecosystems. Trends in Ecology & Evolution, 39, 961-973. |
[16] | Ortega-Álvarez R, MacGregor-Fors I (2009) Living in the big city: Effects of urban land-use on bird community structure, diversity, and composition. Landscape and Urban Planning, 90, 189-195. |
[17] | Peet RK (1975) Relative diversity indices. Ecology, 56, 496-498. |
[18] | Pellissier V, Cohen M, Boulay A, Clergeau P (2012) Birds are also sensitive to landscape composition and configuration within the city centre. Landscape and Urban Planning, 104, 181-188. |
[19] | Pielou EC (1966) The measurement of diversity in different types of biological collections. Journal of Theoretical Biology, 13, 131-144. |
[20] |
Rajan SC, Athira K, Jaishanker R, Sooraj NP, Sarojkumar V (2019) Rapid assessment of biodiversity using acoustic indices. Biodiversity and Conservation, 28, 2371-2383.
DOI |
[21] | Sharma S, Sato K, Gautam BP (2023) A methodological literature review of acoustic wildlife monitoring using artificial intelligence tools and techniques. Sustainability, 15, 7128. |
[22] | Scott JM, Csuti B, Jacobi JD, Estes JE (1987) Species richness. BioScience, 37, 782-788. |
[23] | Simkin RD, Seto KC, McDonald RI, Jetz W (2022) Biodiversity impacts and conservation implications of urban land expansion projected to 2050. Proceedings of the National Academy of Sciences, USA, 119, e2117297119. |
[24] |
Stowell D, Wood MD, Pamuła H, Stylianou Y, Glotin H (2019) Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge. Methods in Ecology and Evolution, 10, 368-380.
DOI |
[25] |
Sugai LSM, Silva TSF, Ribeiro JW Jr, Llusia D (2019) Terrestrial passive acoustic monitoring: Review and perspectives. BioScience, 69, 15-25.
DOI |
[26] | Tian YL, Sun XF, Lü XY, Li X (2022) Characteristics and influencing factors of urban bird diversity in China. Journal of Southwest University (Natural Science Edition), 44(12), 39-49. (in Chinese with English abstract) |
[田永莲, 孙秀锋, 吕鲜艳, 李旭 (2022) 我国城市鸟类多样性特征及其影响因素研究. 西南大学学报(自然科学版), 44(12), 39-49.] | |
[27] |
Tuia D, Kellenberger B, Beery S, Costelloe BR, Zuffi S, Risse B, Mathis A, Mathis MW, van Langevelde F, Burghardt T, Kays R, Klinck H, Wikelski M, Couzin ID, van Horn G, Crofoot MC, Stewart CV, Berger-Wolf T (2022) Perspectives in machine learning for wildlife conservation. Nature Communications, 13, 792.
DOI PMID |
[28] | Wang X, Chen X, Zhang Z (2023) A review of low-power wildlife monitoring devices and their applications in ecological research. Ecological Informatics, 78, 10163. |
[29] | Wang YP, Ding P, Chen SH, Zheng GM (2013) Nestedness of bird assemblages on urban woodlots: Implications for conservation. Landscape and Urban Planning, 111, 59-67. |
[30] | Wei C, Luo CQ (2014) Review of studies on acoustic behavior of cicadas and its systematic and ecological significances. Acta Agriculturae Boreali-Occidentalis Sinica, 23(6), 1-10. (in Chinese with English abstract) |
[魏琮, 罗昌庆 (2014) 蝉总科昆虫的发声行为及相关系统学与生态学研究进展. 西北农业学报, 23(6), 1-10.] | |
[31] |
Whelan CJ, Şekercioğlu ÇH, Wenny DG (2015) Why birds matter: From economic ornithology to ecosystem services. Journal of Ornithology, 156, 227-238.
DOI |
[32] |
Wu KY, Ruan WD, Zhou DF, Chen QC, Zhang CY, Pan XY, Yu S, Liu Y, Xiao RB (2023) Syllable clustering analysis-based passive acoustic monitoring technology and its application in bird monitoring. Biodiversity Science, 31, 22370. (in Chinese with English abstract)
DOI |
[吴科毅, 阮文达, 周棣锋, 陈庆春, 张承云, 潘新园, 余上, 刘阳, 肖荣波 (2023) 基于音节聚类分析的被动声学监测技术及其在鸟类监测中的应用. 生物多样性, 31, 22370.]
DOI |
|
[33] | Yang G, Wang Y, Xu J, Ding YZ, Wu SY, Tang HM, Li HQ, Wang XM, Ma B, Wang ZH (2015) The influence of habitat types on bird community in urban parks. Acta Ecologica Sinica, 35, 4186-4195. (in Chinese with English abstract) |
[杨刚, 王勇, 许洁, 丁由中, 吴时英, 唐海明, 李宏庆, 王小明, 马波, 王正寰 (2015) 城市公园生境类型对鸟类群落的影响. 生态学报, 35, 4186-4195.] | |
[34] | Zhang WW (2024) Community structure and diversity analysis of forest land birds on urban-rural gradients in Shanghai. Forest Inventory and Planning, 49, 164-169. (in Chinese with English abstract) |
[张文文 (2024) 上海市城乡梯度上林地鸟类群落结构及多样性研究. 林业调查规划, 49, 164-169.] | |
[35] | Zhao K, Chen G, Zhang YY (2023) Monitoring bird diversity in Xiao Longmen Forest Area of Beijing based on acoustic index. Journal of Beijing Normal University (Natural Sciences), 59, 607-613. (in Chinese with English abstract) |
[赵凯, 陈功, 张雁云 (2023) 基于声学指数监测北京小龙门林区鸟类多样性. 北京师范大学学报(自然科学版), 59, 607-613.] |
[1] | Jianan Han, Yang Su, Fei Li, Junyan Liu, Yilin Zhao, Lin Li, Jiancheng Zhao, Hongzhu Liang, Min Li. Bryophytes diversity of Hebei Province, China [J]. Biodiv Sci, 2024, 32(9): 24096-. |
[2] | Jiqi Gu, Jianping Chen, Jiangshan Lai. Application of large language models in biodiversity research [J]. Biodiv Sci, 2024, 32(9): 24258-. |
[3] | Yongjin Han, Yongliang Liang, Yijie Tong, Qiang Ding, Zhehao Tian, Lulu Li, Xiaojuan Li, Hao Shen, Yachao Zhu, Ning Liu, Xinpu Wang, Ming Bai. Dataset of beetle specimen images based on three passive acquisition methods in Mt. Helanshan, Ningxia [J]. Biodiv Sci, 2024, 32(9): 24054-. |
[4] | Xiaofei Yan, Tao Wang, Yini Wang, Yiyang Zhao, Shengtao Chen, Xin Sun, Nan Wang. Preliminary species checklist for gastrointestinal trematodes of lizards in the world [J]. Biodiv Sci, 2024, 32(9): 24059-. |
[5] | Yun Zhu, Kaihong Wang, Honglei Li, Xianglong Xu, Wenbin Duan, Hao Chen, Guoqiang Qiu, Weihua Chen, Jing Lu, Changqing Ding. Ethogram and PAE coding system of Crested Ibis in non-breeding season [J]. Biodiv Sci, 2024, 32(9): 24075-. |
[6] | Donghong Li, Yuanyuan Hao, Huilin Gan, Hang Zhang, Yaomeng Liu, Fuyuan Ta, Guixin Hu. Distribution of grasshoppers (Orthoptera: Acridoidea) in different grassland types across the middle zone of the northern Qilian Mountains, western China [J]. Biodiv Sci, 2024, 32(9): 24119-. |
[7] | Rongjiao Li, Jianghai Dong, Wenfang Zheng, Ruyuan Liu, Lijuan Zhao, Ruihe Gao. Soil faunal diversity characteristics and influencing factors across the altitude gradient in the poplar-birch forest of Guandi Mountains [J]. Biodiv Sci, 2024, 32(9): 24070-. |
[8] | Zhiqing Hu, Lu Dong. Effects of urbanization on interspecific interactions involving birds [J]. Biodiv Sci, 2024, 32(8): 24048-. |
[9] | Fei Duan, Mingzhang Liu, Hongliang Bu, Le Yu, Sheng Li. Effects of urbanization on bird community composition and functional traits: A case study of the Beijing-Tianjin-Hebei region [J]. Biodiv Sci, 2024, 32(8): 23473-. |
[10] | Zhixian Sun, Chen Tian, Xin Wang, Yutian Fang, Bo Li, Yahui Zhao. Threats faced by native fishes in tropical coastal cities: A case study of Sanya City, Hainan Province, China [J]. Biodiv Sci, 2024, 32(8): 24165-. |
[11] | Hongyu Niu, Lu Chen, Hengyue Zhao, Gulzar Abdukirim, Hongmao Zhang. Effects of urbanization on animals: From community to individual level [J]. Biodiv Sci, 2024, 32(8): 23489-. |
[12] | Qinyun Wang, Yuquan Zhang, Hao Liu, Ming Li, Fei Liu, Ning Zhao, Peng Chen, Dunwu Qi, Pinjia Que. Avian diversity of Chengdu Research Base of Giant Panda Breeding [J]. Biodiv Sci, 2024, 32(8): 24066-. |
[13] | Rongfei Su, Ruishan Chen, Linlin Yu, Jingbin Wu, Yan Kang. Biodiversity in community habitat gardens in Changning District, Shanghai based on camera trapping [J]. Biodiv Sci, 2024, 32(8): 24068-. |
[14] | Haotian Bai, Shang Yu, Xinyuan Pan, Jiale Ling, Juan Wu, Kaiqi Xie, Yang Liu, Xueye Chen. AI-assisted recognition for passive acoustic monitoring of birds in urban wetland parks [J]. Biodiv Sci, 2024, 32(8): 24188-. |
[15] | Qiong Wu, Zixi Zhao, Taozhu Sun, Yumeng Zhao, Cong Yu, Qin Zhu, Zhongqiu Li. Impact of urban road characteristics and natural landscapes on animal vehicle collisions: A case study in Nanjing [J]. Biodiv Sci, 2024, 32(8): 24141-. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
Copyright © 2022 Biodiversity Science
Editorial Office of Biodiversity Science, 20 Nanxincun, Xiangshan, Beijing 100093, China
Tel: 010-62836137, 62836665 E-mail: biodiversity@ibcas.ac.cn