智慧化数据集成技术在海南热带雨林国家公园的展望--以睡莲属植物为例

Prospects of Intelligent data Integration of wild water lilies in Hainan Tropical Rainforest National Park

摘要

海南作为中国生物多样性保护的核心区域，孕育了延药睡莲（Nymphaea nouchaliBurm. f.）等珍稀野生睡莲（NymphaeaL.）资源，其生态保护与恢复工作亟需科技赋能。智慧化数据集成技术通过多源数据融合与智能分析，解决国家公园睡莲保护中监测碎片化、保护精准度不足等关键性问题。文章系统梳理海南野生睡莲的物种资源现状与保护挑战，重点阐述智慧化数据集成在睡莲生境监测、种群动态追踪、气候变化响应等领域的应用机制，深入分析 “天空地”一体化监测、大数据平台构建、人工智能分析等前沿技术的集成应用模式，并结合国家公园生态保护需求，通过构建‘天空地’一体化监测体系，实现了对睡莲属植物的精准监测与保护，为推动热带雨林湿地生态系统保护科学化、物种恢复精准化及管理现代化提供理论参考与技术支撑。

Abstract

Hainan, as a core area for biodiversity conservation in China, is home to rare wild water lily resources such as Nymphaeaspp. The ecological protection and restoration of these species urgently require technological empowerment. Intelligent data integration technologies through multi-source data integration and smart analysis address key issues in the conservation of water lilies in national parks, such as fragmented monitoring and insufficient protection accuracy. A systematical review was made of the status of wild water lily species and the challenges of their conservation in Hainan. It focuses on the application mechanisms of intelligent data integration in habitat monitoring, population dynamics tracking, and climate change response. Furthermore, it analyzes the integrated application modes of cutting-edge technologies, including "sky-earth" integrated monitoring, big data platform construction, and artificial intelligence analysis. By constructing a "sky-earth" integrated monitoring system, the paper achieves precise monitoring and protection of Nymphaea species, providing theoretical references and technological support for advancing the scientific conservation of tropical rainforest wetland ecosystems, the precise restoration of species, and the modernization of management in national parks.

关键词

智慧化数据集成技术 / 海南热带雨林国家公园 / 野生睡莲 / 生物多样性保护 / 天空地监测 / 生态恢复

Key words

Technology of intelligent data integration / Hainan Tropical Rainforest National Park / wild water lilies / biodiversity conservation / Space-Air-Ground monitoring / ecological restoration

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基金资助

国家自然科学基金面上项目(32172614)