调查支持范围内薇甘菊相对发生风险分区与优先核查节点识别

doi:10.17520/biods.2026055

生物多样性

调查支持范围内薇甘菊相对发生风险分区与优先核查节点识别

普晓妍^1,4, 岩光², 吉道³, 周鑫雨⁴, 冯磊塬⁴, 段志宇⁵, 杨雄显⁵, 杨南², 卢华正^4*

1. 中共西双版纳州委党校（州行政学院），云南景洪；2. 云南西双版纳国家级自然保护区科学研究所，云南景洪；3. 云南西双版纳国家级自然保护区勐腊管护所，云南勐腊；4. 云南西双版纳森林生态系统国家野外科学观测研究站，云南景洪；5. 中国科学院西双版纳热带雨林生态系统研究站，云南勐腊

收稿日期:2026-02-23 修回日期:2026-06-30 接受日期:2026-07-17
通讯作者: 卢华正

Relative occurrence-risk zoning and identification of priority verification nodes for Mikania micrantha within the survey-supported spatial extent

Xiaoyan Pu¹, Guang Yan², Dao Ji³, Xinyu Zhou⁴, Leiyuan Feng⁴, Zhiyu Duan⁵, Xiongxian Yang⁵, Nan Yang², Huazheng Lu⁴*

1. Party School of the CPC Xishuangbanna Dai Autonomous Prefecture Committee (Prefecture Administrative College), Jinghong, Yunnan, China;

2. Scientific Research Institute of Yunnan Xishuangbanna National Nature Reserve, Jinghong, Yunnan, China;

3. Mengla Management and Protection Station of Yunnan Xishuangbanna National Nature Reserve Administration, Mengla, Yunnan, China;

4. Yunnan Xishuangbanna Forest Ecosystem National Observation and Research Station, Jinghong, Yunnan, China;

5. Xishuangbanna Tropical Rainforest Ecosystem Research Station, Chinese Academy of Sciences, Mengla, Yunnan, China

Received:2026-02-23 Revised:2026-06-30 Accepted:2026-07-17
Contact: Huazheng Lu

摘要/Abstract

摘要：

目的：在调查覆盖受限条件下，识别外来入侵植物薇甘菊（Mikania micrantha）的相对发生集中区域及优先核查单元，为保护地外来入侵植物巡查布设、斑块复核和动态监测提供空间参考。方法：以西双版纳国家级自然保护区及其周边区域为研究区，基于薇甘菊发生记录和调查航迹开展空间分析。本研究共获得薇甘菊发生记录336条，并整合调查航迹线要素283个，累计航迹长度为737.75 km。计算发生点至最近调查航迹的距离，并以调查航迹两侧200 m缓冲区构建空间分析支持范围。在该范围内，采用带宽为2 km、分辨率为200 m的高斯核密度估计相对发生强度；依据核密度值的P50、P75和P90划分低、中、高和极高4类相对发生风险区；通过局部极大值识别和邻近合并确定高发生强度节点，并以节点2 km局部调查支持范围内的斑块面积密度划分优先核查等级。

结果：336条发生记录均位于最近调查航迹200 m范围内，发生点至最近调查航迹的平均距离为0.96 m，最大距离为10.90 m。空间分析支持范围面积为282.96 km²。高风险区和极高风险区合计占支持范围面积的25.01%，包含74.11%的发生记录；其中，极高风险区占10.01%，包含44.94%的发生记录。共识别出6个高发生强度节点，其中S4和S1为一级重点核查节点，S3为二级重点核查节点，S2、S5和S6为三级一般核查节点。

结论：薇甘菊发生记录与调查航迹之间具有较强空间对应关系。基于调查航迹构建空间分析支持范围，可在不外推未调查区域风险的前提下，识别调查支持范围内的相对发生风险分区和优先核查节点。该方法可为调查覆盖受限条件下外来入侵植物的空间化巡查和复核提供参考。

关键词: 薇甘菊, 空间分析支持范围, 核密度估计, 相对发生风险

Abstract

Aims: This study aimed to identify areas of concentrated occurrence and priority verification units of the invasive plant Mikania micrantha under constrained survey coverage, and to provide spatial references for survey design, patch verification, and dynamic monitoring in protected areas.

Methods: Spatial analyses were conducted in and around Xishuangbanna National Nature Reserve, China, using occurrence records of M. micrantha and survey tracks. A total of 336 occurrence records and 283 survey-track line features, with a cumulative length of 737.75 km, were integrated. Distances from occurrence records to the nearest survey tracks were calculated, and a 200-m buffer on both sides of the survey tracks was used to define the survey-supported spatial extent. Within this extent, relative occurrence intensity was estimated using Gaussian kernel density estimation with a 2-km bandwidth and 200-m raster resolution. Relative occurrence-risk zones were classified into low, medium, high, and extremely high classes using the P50, P75, and P90 thresholds of kernel-density values. High-occurrence-intensity nodes were identified using local maxima and proximity merging, and priority verification levels were assigned according to patch-area density within the local survey-supported extent of a 2-km node buffer.

Results: All 336 occurrence records were located within 200 m of the nearest survey track, with a mean distance of 0.96 m and a maximum distance of 10.90 m. The survey-supported spatial extent covered 282.96 km². High- and extremely high-risk zones accounted for 25.01% of the extent but contained 74.11% of occurrence records. Extremely high-risk zones occupied 10.01% of the extent and contained 44.94% of occurrence records. Six high-occurrence-intensity nodes were identified. S4 and S1 were classified as Level I priority verification nodes, S3 as a Level II node, and S2, S5, and S6 as Level III nodes.

Conclusion: Occurrence records of M. micrantha showed strong spatial correspondence with survey tracks. Defining a survey-supported spatial extent based on survey tracks enables relative occurrence-risk zoning and priority node identification without extrapolating risk to unsurveyed areas. This approach provides a spatial reference for survey planning and field verification of invasive plants under constrained survey coverage.

Key words: Mikania micrantha, survey-supported spatial extent, kernel density estimation, relative occurrence risk, priority verification nodes

普晓妍, 岩光, 吉道, 周鑫雨, 冯磊塬, 段志宇, 杨雄显, 杨南, 卢华正. 调查支持范围内薇甘菊相对发生风险分区与优先核查节点识别. 生物多样性, DOI: 10.17520/biods.2026055.

Xiaoyan Pu, Guang Yan, Dao Ji, Xinyu Zhou, Leiyuan Feng, Zhiyu Duan, Xiongxian Yang, Nan Yang, Huazheng Lu. Relative occurrence-risk zoning and identification of priority verification nodes for Mikania micrantha within the survey-supported spatial extent. Biodiversity Science, DOI: 10.17520/biods.2026055.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.biodiversity-science.net/CN/10.17520/biods.2026055

[1]	周铝, 郭画, 姚世贸, 田成. 王朗国家级自然保护区红腹角雉时空分布模式[J]. 生物多样性, 2025, 33(7): 24537-.
[2]	周天祥, 杨华林, 张贵权, 杨建, 冯茜, 胡强, 程跃红, 张晋东, 王彬, 周材权. 四川卧龙国家级自然保护区三种高山同域鸡形目鸟类的时空生态位比较[J]. 生物多样性, 2022, 30(6): 22026-.
[3]	陈立军,束祖飞,肖治术. 应用红外相机数据研究动物活动节律——以广东车八岭保护区鸡形目鸟类为例[J]. 生物多样性, 2019, 27(3): 266-272.
[4]	王家宜, 余涵霞, 赖玉芳, 万方浩, 钱万强, 彭长连, 李伟华. 入侵杂草薇甘菊与本地植物粉葛对水分胁迫的生理响应[J]. 生物多样性, 2017, 25(12): 1267-1275.