| 引用本文: | 向悟生, 王 斌, 胡天宇, 陆 芳, 陶旺兰, 李冬兴,李健星, 李先琨.基于新一代中国植被图(1:50万)方法的漓江流域植被类型与分布[J].广西植物,2026,46(4):575-585.[点击复制] |
| XIANG Wusheng, WANG Bin, HU Tianyu, LU Fang, TAO Wanglan,
LI Dongxing, LI Jianxing, LI Xiankun.Vegetation types and distribution in the Lijiang River basin based on the new generation 1:500 000 China vegetation map compilation method[J].Guihaia,2026,46(4):575-585.[点击复制] |
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| 基于新一代中国植被图(1:50万)方法的漓江流域植被类型与分布 |
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向悟生1, 王 斌1, 胡天宇2, 陆 芳1, 陶旺兰1, 李冬兴1,李健星1, 李先琨1*
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1. 广西壮族自治区
中国科学院 广西植物研究所, 广西喀斯特植物保育与恢复生态学重点实验室/弄岗喀斯特生态系统广西野外科学
观测研究站, 广西 桂林 541006;2. 中国科学院植物研究所 植被与环境变化重点实验室, 北京 100093
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| 摘要: |
| 漓江流域地处我国南方喀斯特典型分布区,地层起源古老、喀斯特发育历史漫长。植被类型多样且空间分异复杂,但高精度群系尺度的分布信息缺乏。该文基于众源采集植被数据、多源遥感融合技术和多尺度影像分割等新一代1:50万中国植被图方法,识别漓江流域植被的主要群系或群系组类型,并分析其面积组成与空间分布特征。结果表明:(1)植被类型具有较高的多样性和复杂性,共识别到4个植被型组、10个植被型和23个群系(组)。(2)人工干预植被类型占流域面积超过87%,其中马尾松林、马尾松针阔混交林、杉木林和毛竹林合计占比超61%,农业植被占比约26%,而原生地带性常绿阔叶林合计不足5%。(3)群系空间分异规律明显。地带性植被分布于碎屑岩区域,非地带性植被分布于喀斯特区域; 垂直方向上,呈现典型常绿阔叶林带转换为常绿落叶阔叶混交林带的海拔梯度特征; 水平方向上,四周山地以森林群系为主,中部平缓区域以灌丛群系和农业植被群系为主。该研究阐明了漓江流域植被的群系分类、面积组成和空间分布等特征与规律,为漓江流域生态系统保护和修复,以及流域的可持续发展和生态价值评估提供科学基础和依据。 |
| 关键词: 漓江流域, 喀斯特, 众源采集, 多尺度分割, 植被型, 群系, 面积组成, 空间分布 |
| DOI：10.11931/guihaia.gxzw202604012 |
| 分类号:Q948 |
| 文章编号:1000-3142(2026)04-0575-11 |
| 基金项目:广西重点研发计划项目(桂科AB22080057); 中国科学院战略性先导科技专项(XDA19050401)。 |
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| Vegetation types and distribution in the Lijiang River basin based on the new generation 1:500 000 China vegetation map compilation method |
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XIANG Wusheng1, WANG Bin1, HU Tianyu2, LU Fang1, TAO Wanglan1,
LI Dongxing1, LI Jianxing1, LI Xiankun1*
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1. Guangxi Key Laboratory of Karst Plant Conservation and Restoration Ecology, Guangxi Institute of Botany, Chinese Academy of
Sciences, Guangxi Zhuang Autonomous Region, Nonggang Karst Ecosystem Observation and Research Station of Guangxi,
Guilin 541006, Guangxi, China;2. Key Laboratory of Vegetation and Environmental Change, Institute of Botany,
the Chinese Academy of Sciences, Beijing 100093, China
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| Abstract: |
| The Lijiang River basin, located in a typical karst region of southern China, has an ancient stratigraphic origin and a long history of karst development. It harbors diverse and spatially complex vegetation alliance types. However, highresolution distribution data at the alliance level have been lacking. Based on the new generation 1:500 000 China vegetation map compilation method, which integrates crowdsourced vegetation data, multi-source remote sensing fusion, and multi-scale image segmentation, this study identified the major vegetation alliance types(or alliance groups)in the Lijiang River basin and analyzed their area composition and spatial distribution patterns. The results were as follows:(1)The vegetation types exhibited high diversity and complexity. A total of 4 vegetation formation groups, 10 vegetation formations, and 23 alliances(groups)were identified.(2)Anthropogenically influenced vegetation types accounted for more than 87% of the basin's area. Specifically, Pinus massoniana forest, P. massoniana mixed needleleaf and broadleaf forest, Cunninghamia lanceolata forest, and Phyllostachys edulis forest together occupied over 61% of the basin, while agricultural vegetation(food crops and orchards)covered approximately 26%. In contrast, primary zonal evergreen broadleaf forests(e.g., Castanopsis eyrei forest and C. carlesii forest)together comprised less than 5% of the total basin area.(3)Clear spatial differentiation patterns were observed among alliances. Zonal alliances were strictly confined to nonkarst mountains(e.g., Yuechengling, Haiyangshan, Jiaqiaoling), whereas nonzonal alliances(e.g., Cyclobalanopsis glauca mixed evergreen and deciduous broadleaf forest, Vitex negundo + Loropetalum chinense shrubland)dominated the karst areas. Vertically, a distinct altitudinal zonation was evident, transitioning from typical evergreen broadleaf forest belt to mixed evergreendeciduous broadleaf forest belt. Horizontally, forest alliances mainly occupied the surrounding mountainous regions, whereas shrubland and agricultural alliances prevailed in the central gentle terrain. This study reveals the classification, area composition, and spatial distribution patterns of vegetation alliances in the Lijiang River basin, providing a scientific basis and supporting evidence for the conservation and restoration of the basin's vegetation ecosystems, as well as for sustainable development planning and assessment. |
| Key words: the Lijiang River basin, karst, crowdsourced, multi-scale image segmentation, vegetation formation, alliance, area composition, spatial distribution |
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