图①：罗春平在进行巡护。受访者供图 图②：张立勋团队安装的声纹采集器。受访者供图 图③：山东省东营市东营区大明公园。 不知道你有没有这样的感受： 我们生活的周边，来自大自然的声音越来越多。 美丽中国不仅看得见、闻得见，也能听得见。 在城市里，寸土寸金的土地上建起了口袋公园，鸟鸣声、流水声声声入耳；在国家公园里，野生动物的叫声和风 吹树林的声音汇成美丽的旋律...... 不只是我们在"听"，更多科技力量也加入"听"的行列——这些年，不少地方利用声纹监测设备监测鸟类等动物的 痕迹，不断进步的科技为我们保护动物提供了更便利的工具。 此刻，不妨让我们去聆听更多自然的声音，听见更美的中国。 ——编 者 在国家公园听见万物和谐 2025年12月25日午夜，大熊猫国家公园王朗片区腹地，巡护员值班室灯火通明，巡护员罗春平推开房门，一阵熟 悉的鸣叫从远处的山脊传来——"咩……呦……" "这是中华斑羚的声音。"罗春平静静听了片刻，在巡护日志上工整地记录下这个熟悉的声响。 王朗，中国最早的4个以保护大熊猫为主的保护区之一，保存着完整的原始森林生态系统，不仅是大熊猫、川金丝 猴等珍稀野生动物的家园，也是罗春平守护的地方。2002年1 ...

Core Viewpoint - The integration of advanced technology, such as drones and AI systems, significantly enhances the monitoring and protection of migratory birds in various natural reserves across China, leading to more efficient and precise conservation efforts [6][9][11]. Group 1: Technological Advancements in Bird Conservation - The Tianjin Qilihai Wetland has implemented a comprehensive drone system that autonomously patrols the area, ensuring 24/7 coverage and reducing human intervention [6][7]. - In Hunan's Yongzhou, a network of drones, video surveillance, and AI monitoring systems has been established to protect migratory routes, showcasing a shift from traditional methods to high-tech solutions [9][10]. - The use of sound recognition technology, such as voiceprint collectors, allows for continuous and accurate monitoring of bird populations, with over 320,000 valuable bird sound data collected since the launch of the monitoring platform [11][12]. Group 2: Impact on Conservation Efficiency - The deployment of drones in the Qilihai Wetland allows for efficient coverage of 149.28 square kilometers, completing patrols in approximately 20 minutes [6][7]. - The integration of AI algorithms with surveillance systems in Yongzhou enables real-time monitoring and alerts for any illegal activities, enhancing the overall efficiency of bird protection efforts [10]. - The AI recognition system developed by Lanzhou University has achieved an accuracy rate exceeding 85% in identifying bird species from audio data, demonstrating the effectiveness of technology in wildlife research [12][13].