Understanding the spatial heterogeneity of bird community distribution within urban greenways is crucial for optimizing ecological functions and supporting urban biodiversity. While ecological corridors enhance connectivity and biodiversity, specific mechanisms by which landscape composition and configuration influence bird diversity remain unclear. This study examines bird community distribution along the Qingshan Lake Greenway in Hangzhou during autumn and winter, using 17 observation points across wetlands, forests, and mixed habitats. The key findings indicate that wetlands have significantly higher species richness compared to forests and mixed habitats, underscoring wetlands’ critical role in supporting diverse bird communities. Greenways primarily facilitate short-distance bird movement with limited permeability between habitats. Additionally, greenway effectiveness in enhancing bird diversity depends heavily on design and structural characteristics. This research highlights the necessity of incorporating microhabitat design and diverse habitat configurations in greenway planning to enhance ecological connectivity and biodiversity. It provides essential insights for urban planners and ecologists, emphasizing detailed landscape composition and configuration analyses. Future research should include year-round studies and advanced ecological monitoring technologies to validate and expand these findings, ultimately contributing to more effective urban biodiversity conservation and sustainable development strategies.

Agricultural intensification has led to biodiversity loss and compromised ecosystem services, necessitating sustainable pest management strategies. This study evaluates the efficacy of wildflower strips (WFS) in enhancing natural enemy communities and suppressing pest activity in rice-wheat rotation landscapes of eastern China. An experiment compared WFS (10-species mixtures) with natural grass strips (CK) across biodiversity, functional traits, and pest dynamics. WFS significantly increased parasitic wasp α-diversity (species richness: +195.5%, activity density: +362.0%) and suppressed pest (Armadillidium vulgare) populations by 68%, primarily through female-biased sex ratios and functional trait shifts. Key species like Lindenius mesopleuralis and Ectemnius continuus emerged as indicators of WFS habitats. Spider communities showed no β-diversity differentiation but exhibited functional guild shifts (e.g., web-building specialists). Plant community composition, particularly floral resource availability and phenological continuity, drove natural enemy assembly and pest regulation, outperforming the CK group in rare species conservation. Our findings highlight WFS as a precision tool for enhancing pest control through targeted plant selection and trait-mediated interactions. This study advances the understanding of habitat-driven pest regulation, providing a framework for optimizing ecological intensification in agroecosystems.

Traditional field surveys of urban park biodiversity lack efficiency and scale, whereas LiDAR offers precise 3D vegetation quantification. This study investigates how 3D vegetation structural complexity impacts urban park plant diversity. We integrated Unmanned Aerial Vehicle (UAV) and handheld LiDAR data with ground-based quadrat surveys to capture comprehensive vegetation structures. Using six key 3D structural metrics, we modeled their relationship with plant diversity via Random Forest. Results indicate canopy height standard deviation (Hstd) primarily influences cultivated plant diversity, while the vegetation density index (VDI) drives spontaneous diversity. The model predicted species richness better (30.63% variance explained) than the Shannon index (7.63%). These drivers exhibited significant non-linear effects and potential ecological thresholds. A strong synergy emerged: when the vertical structure is complex and the 3D spatial density is high, the predicted plant diversity initially exhibits a trend of saturation and stabilization. Ultimately, multi-dimensional 3D vegetation structure proves to be a robust indicator of plant diversity. Our proposed multi-platform LiDAR fusion framework enables rapid, precise ecological assessments, providing methodological references and support for the transition from 2D to 3D green quality evaluation in the fine-scale management of similar cities.