Biodiv Sci ›› 2024, Vol. 32 ›› Issue (10): 24296.  DOI: 10.17520/biods.2024296  cstr: 32101.14.biods.2024296

• Original Papers • Previous Articles     Next Articles

Correlation analysis of urban green landscape patterns and bird diversity based on passive acoustic monitoring technology

Le Li1(), Chengyun Zhang2(), Nancai Pei1(), Bingtao Gao1(), Na Wang3(), Jiarui Li1, Ruichen Wu1, Zezhou Hao1,*()()   

  1. 1. Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China
    2. School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
    3. Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System/Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
  • Received:2024-07-06 Accepted:2024-10-10 Online:2024-10-20 Published:2024-11-26
  • Contact: *E-mail: zezhouhao@caf.ac.cn
  • Supported by:
    Fundamental Research Funds of CAF(CAFYBB2023MA016);National Natural Science Foundation of China(32301669)

Abstract:

Aim: Urbanization-induced habitat fragmentation and habitat quality degradation have negatively impacts on biodiversity. Birds, as essential components of global biodiversity, act as critical indicators of ecological changes. Urban green spaces play a pivotal role in bird diversity conservation. Understanding the relationship between green space landscape characteristics and bird diversity is vital for sustainable urban landscape management and biodiversity conservation. This study aims to explore the response of bird diversity to urban green landscape pattern in different feeding guilds.

Methods: The synchronous continuous recordings were conducted by passive acoustic monitoring technology at 30 urban parks across Guangzhou for 6 months. Deep learning models were used to identify species information. Redundancy analysis, random forest regression, and classification and regression tree models were used to quantify the relationship between bird species and green space landscape characteristics.

Results: The analysis showed that higher green space ratios and patch areas positively affected bird species richness, while reduced habitat connectivity negatively affected species numbers. Birds with different feeding habits exhibited varying responses to landscape characteristics. Omnivorous birds were more adaptable to fragmented environment, carnivorous birds were highly sensitive to habitat connectivity, and insectivorous birds relied on larger green space patches. In addition, bird species richness showed a negative correlation with artificial nighttime light, with insectivorous birds being most sensitive to this disturbance. Nonlinear correlations were observed between bird species richness and green space landscape characteristics, with different response processes and thresholds. For example, exclusive feeding guild species richness increased when the average green space patch area exceeded 0.01-0.02 ha within a 2 km circular buffer zone or when isolated island area proportion were below 0.92%-10.40%.

Conclusion: It is suggested to reduce the negative impact of artificial lighting on birds in order to enhance overall urban bird diversity. It is also necessary to protect and restore residual habitats dominated by native species, establish corridors and new complementary habitats and enhance habitat connectivity in landscape management.

Key words: passive acoustic monitoring, bird diversity, avian feeding guild, urban green space, landscape connectivity