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基于被动声学监测技术的城市绿地景观格局与鸟类多样性关联分析     被引量:1

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

文献类型:期刊文献

中文题名:基于被动声学监测技术的城市绿地景观格局与鸟类多样性关联分析

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

作者:李乐[1] 张承云[2] 裴男才[1] 高丙涛[1] 王娜[3] 李嘉睿[1] 武瑞琛[1] 郝泽周[1]

第一作者:李乐

机构:[1]中国林业科学研究院热带林业研究所,广州510520;[2]广州大学电子与通信工程学院,广州510006;[3]广东省科学院广州地理研究所广东省遥感与地理信息系统应用重点实验室/广东省地理空间信息技术与应用公共实验室,广州510070

年份:2024

卷号:32

期号:10

起止页码:154-168

中文期刊名:生物多样性

外文期刊名:Biodiversity Science

收录:;北大核心:【北大核心2023】;CSCD:【CSCD2023_2024】;

基金:中国林业科学研究院基本科研业务费专项资助(CAFYBB2023MA016);国家自然科学基金(32301669)。

语种:中文

中文关键词:被动声学监测;鸟类多样性;取食集团;城市绿地;景观连通性

外文关键词:passive acoustic monitoring;bird diversity;avian feeding guild;urban green space;landscape connectivity

分类号:TU9

摘要:城市化导致的生境破碎化与生境质量下降对生物多样性造成了负面影响。鸟类是全球生物多样性的重要组成部分,也是生态环境变化的重要指示物种。城市绿地在鸟类多样性保护中起着主导作用,理解绿地景观特征与鸟类多样性的关系对城市景观可持续管理和生物多样性保护具有重要意义。为了探究不同取食集团鸟类多样性对城市绿地景观格局的响应差异,本研究基于被动声学监测技术对广州市30个城市公园开展了为期6个月的同步连续监测,并基于深度学习模型识别物种信息,采用冗余分析、随机森林回归、分类和回归树模型量化了鸟类物种数量与绿地景观特征之间的关系。结果表明:较高绿地面积比例和较大斑块面积对鸟类物种数量有积极的影响,而降低生境景观连通性对其有负面影响,但不同食性的鸟类对景观特征的响应存在差异。杂食鸟类更加适应破碎化的环境,食肉鸟对生境连通性高度敏感,食虫鸟则依赖绿地平均斑块面积。此外,夜间人造灯光与鸟类物种数量呈负相关关系,食虫鸟对其的响应更加敏感。鸟类物种数量与绿地景观特征之间呈非线性关系,具有不同的响应过程和阈值。当2 km圆形缓冲区内绿地平均斑块面积高于0.01–0.02 ha或孤岛面积比例低于0.92%–10.40%时,有助于增加专一食性鸟类物种数量。为提升城市鸟类整体多样性,建议减少人造灯光对鸟类的负面影响,并在景观管理中保护和恢复以本地物种为主的残存栖息地、建立廊道和补充性新栖息地、增强生境连通性。
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.

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