测绘通报 ›› 2025, Vol. 0 ›› Issue (2): 118-121,168.doi: 10.13474/j.cnki.11-2246.2025.0221

• 技术交流 • 上一篇    下一篇

基于遥感与地理信息技术的重要树种生境适宜性量化分析——以安吉小鲵国家级自然保护区为例

金姗姗1,2, 冯存均1,2, 左石磊1,2, 方露露1,2, 李晓天1,2   

  1. 1. 浙江省测绘科学技术研究院, 浙江 杭州 310012;
    2. 自然资源部地理国情监测重点实验室, 浙江 杭州 310012
  • 收稿日期:2024-05-28 发布日期:2025-03-03
  • 作者简介:金姗姗(1986—),女,硕士,高级工程师,主要从事自然资源监测工作。E-mail:675979338@qq.com
  • 基金资助:
    浙江省“尖兵”“领雁”重大科技攻关项目(2023C03137)

Quantitative analysis of habitat suitability of important tree species based on remote sensing and geographic information technology: a case study of Hynobius Anji National Nature Reserve

JIN Shanshan1,2, FENG Cunjun1,2, ZUO Shilei1,2, FANG Lulu1,2, LI Xiaotian1,2   

  1. 1. Zhejiang Academy of Surveying and Mapping, Hangzhou 310012, China;
    2. Key Laboratory of National Geographic Census and Monitoring, Hangzhou 310012, China
  • Received:2024-05-28 Published:2025-03-03

摘要: 安吉小鲵国家级自然保护区属于森林和野生动物类型的自然保护区,生物多样性丰富,境内分布有银缕梅、鹅掌楸、香果树、金钱松、南方红豆杉等多个珍稀濒危树种。近年来,随着生物多样性保护在全球范围内得到广泛关注和重视,保护区内重要树种的保护监测和生境分析也正在加大实施力度。开展重要树种生境适宜性探测是树种保护的基础和前提。遥感与地理信息技术与生物多样性传统调查方式相比,在生物生境适宜性空间量化分析应用中,可大大提升探测效率和预测精准性。本文利用遥感与地理信息技术,标定提取目标树种的分布位置及区域,并利用最大熵模型进行树种的适宜性生境分析,从而确定各类树种的生境偏好,预测其潜在分布范围。通过地面调查和无人机验证,树种提取平均精度可达75%以上。适宜生境预测分析结果为重要树种潜在分布探寻提供了重要的支撑,为合理高效地保护濒危树种和时空动态监测提供了保障。

关键词: 重要树种, 遥感, 地理信息, 生境适宜性

Abstract: Anji Hynobius National Nature Reserve is a nature reserve of forest and wild animals, with rich biodiversity. There are several rare and endangered tree species distributed in the territory, such as witch hazel, liriodendron, fragrant fruit tree, Jinqian pine, southern Yew and so on. In recent years, as biodiversity conservation has been widely concerned and valued around the world, conservation monitoring and habitat analysis of important tree species in protected areas are also being intensified. Habitat suitability detection of important tree species is the basis and premise of tree species protection. Compared with the traditional survey methods of biodiversity, remote sensing can greatly improve the detection efficiency and prediction accuracy in the application of spatial quantitative analysis of habitat suitability. In this study, remote sensing and geographic information technology is used to calibrate and extract the distribution location and region of target tree species, and the maximum entropy model is used to analyze the suitable habitat of tree species, so as to determine the habitat preference of various tree species and predict their potential distribution range. Through ground survey and UAV verification, the average accuracy of tree species extraction can reach more than 75%. The results of suitable habitat prediction analysis provide important support for the exploration of potential distribution of important tree species, and provide a guarantee for reasonable and efficient protection of endangered tree species and spatio-temporal dynamic monitoring.

Key words: important tree species, remote sensing, geographic information, habitat suitability

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