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基于公民科学的1985-2024年北京观鸟游憩行为时空特征及驱动因素OACHSSCD

Spatiotemporal characteristics and drivers of birdwatching recreation in Beijing based on nearly 40 years of citizen science data

中文摘要英文摘要

采用地理空间分析方法,利用eBird平台1985-2024年观测记录的公民科学数据,探讨了北京观鸟游憩者行为的时序特征、空间演化规律及驱动因素.结果表明:(1)时序演进呈现政策响应特征,活动量经缓增期(1985-2004)、稳增期(2005-2014)后,于生态政策强化期(2015-2024)实现爆发式增长,年均增长率达17.3%.春秋季占比超60%的集中特征,精准契合东亚—澳洲候鸟迁飞节律,体现人类活动对生物钟的主动调适.(2)空间格局经历三阶段重构:单核集聚(城市公园)→轴向扩展(沿交通廊道)→网络化布局(水库湿地),2015-2024年空间重心向海淀东南迁移,印证城市生态建设从服务供给向系统韧性提升的战略转型.(3)驱动机制呈现多元耦合特征,构建"生态基底-经济动能-社会支持"联动模型,发现鸟类资源丰度与人均GDP构成核心驱动力,与公园数量、绿地覆盖率等形成协同放大效应.研究证实公民科学数据在城市生态研究中的方法论价值,为迁徙廊道保护、生态游憩规划提供决策支持.

Understanding the intricate interplay between urban development,human recreational demands,and biodiversity conservation is paramount for achieving sustainable and resilient cities under global environmental change.Beijing,as a rapidly expanding megacity within the critical East Asian-Australasian Flyway(EAAF),faces immense pressure balancing ecological preservation with the well-being of its over 20 million inhabitants.Birdwatching,a prominent nature-based recreational activity,serves as a vital indicator of human-nature interactions and public engagement with biodiversity.Analyzing its long-term evolution is not merely an academic pursuit but a strategic necessity for informing urban green space planning,wetland conservation policies,and fostering ecological civilization within China's capital.Utilizing the burgeoning resource of citizen science(CS)data offers an unprecedented,cost-effective opportunity to track these complex socio-ecological dynamics across extensive temporal and spatial scales.This study presents a novel approach by integrating citizen science data with geospatial analysis to investigate the dynamic evolution of birdwatching recreational behavior in Beijing.Utilizing a comprehensive dataset of observational records from the eBird platform(1985-2024),the research proposes a three-dimensional analytical framework-encompassing temporal features,spatial evolution,and driving mechanisms-to systematically elucidate the patterns,trends,and underlying factors shaping birdwatching activities.The results include:(1)Temporal analysis revealed a policy-driven evolution of birdwatching activities,characterized by three distinct phases:a period of gradual growth(1985-2004),a phase of steady increase(2005-2014),and a period of rapid expansion during the ecological policy reinforcement phase(2015-2024),with an average annual growth rate of 17.3%.Over 60%of activities occurred in spring and autumn,closely aligning with the migratory rhythms of the East Asian-Australasian Flyway,highlighting the adaptive response of human recreational behavior to ecological phenology.(2)Spatially,birdwatching activities have undergone three stages:initial monocentric clustering in urban parks,followed by axial expansion along transportation corridors,and a subsequent transition to a networked configuration centered on wetland core areas.Over the past decade,the spatial centroid of these activities has shifted 12.7 km southeast toward Haidian,reflecting Beijing's strategic pivoted in urban ecological development from service-oriented provision to systemic resilience.(3)The driving mechanisms exhibit multifaceted coupling characteristics,supporting integrated model of"ecological foundation-economic momentum-social support",which revealed that bird resource abundance and per capita GDP constituted the core driving forces,synergistically amplified by factors such as the number of parks and green space coverage.This study demonstrates the methodological value of citizen science data in urban ecological research,providing a robust framework for analyzing human-nature interactions.

丛丽;杨军

北京林业大学园林学院,北京 100083北京林业大学园林学院,北京 100083||中山大学旅游学院,珠海 519082

观鸟游憩时空格局特征演化规律公民科学数据生态旅游游憩者行为

birdwatching recreationspatiotemporal patternsevolutionary patternscitizen science dataecological tourismrecreational behavior

《生态学报》 2026 (5)

2320-2336,17

中央高校基本科研业务资助项目(2021SRZ01)

10.20103/j.stxb.202504281035

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