城市生态公益林再野化的草本植物及其生境热点快速监测识别技术

编号 lyqk011417

中文标题 城市生态公益林再野化的草本植物及其生境热点快速监测识别技术

作者 杨博  孙彦伟  郑思俊  朱义  陈雪初  黄静蕾  敖东力 

作者单位 1. 上海市园林科学规划研究院 上海 200232;
2. 上海城市困难立地绿化工程技术研究中心 上海 200232;
3. 上海市建设用地和土地整理事务中心 上海 200232;
4. 自然资源部大都市区国土空间生态修复工程技术创新中心 上海 200003;
5. 华东师范大学 上海 200241

期刊名称 中国城市林业 

年份 2024 

卷号 22

期号 2

栏目名称 专题2:城市生态空间再野化 

中文摘要 受乔木遮挡影响,难以采用遥感技术监测城市生态公益林内现状草本植被,而人工监测费时费力。为攻关此难题,以生境热点监测识别为突破口,开发一种适用于中观尺度城市生态公益林的快速监测识别技术体系,通过分析高分辨率的遥感影像,快速识别原生草本植物多样性较高的空间范围,对此类空间开展重点法抽样,经对上海市金山区农林水乡生态公益林实地验证,该方法效果较好,具体表现为:单独使用一种抽样法时,重点法的探测效率更高,草本原生种探测效率约为79%,优于系统法+路径法组合使用(72%);两种方法组合使用时,重点法能够将物种探测效率提高16%~24%,其中系统法+重点法的草本原生种探测效率约为88%,路径法+重点法的草本原生种探测效率约为96%。研究结果说明生境热点内的草本原生种数量较多,生境热点识别技术有效;明确生境热点的空间范围,能够提高生物多样性监测效率、降低监测人力和时间成本,为生态修复工程规划、设计、施工和评估提供重要的空间信息;同时,利用人工智能技术开展公众参与监测研究,降低了监测成本,能够保障监测识别的准确性和可持续性。因此,该技术能够为城市生态公益林再野化提供有力的技术支持,具有广阔的应用前景。

关键词 城市生态公益林  再野化  草本植物  生境热点  快速监测识别技术 

基金项目 自然资源部大都市区国土空间生态修复工程技术创新中心课题(CXZX202305);上海市社会发展科技攻关项目(22DZ1202105);上海市社会发展科技攻关项目(22DZ1202605);上海市社会发展科技攻关项目(23DZ1204400)

英文标题 Rapid Monitoring and Identification Technology for Herbaceous Plants and Their Hotspot Habitats in Rewilding Urban Ecological Forests

作者英文名 Yang Bo, Sun Yanwei, Zheng Sijun, Zhu Yi, Chen Xuechu, Huang Jinglei, Ao Dongli

单位英文名 1. Shanghai Academy of Landscape Architecture and Planning, Shanghai 200232, China;
2. Shanghai Engineering Research Center for Greening Technology ofDifficult Urban Sites, Shanghai 200232, China;
3. Shanghai Construction Land and Land Consolidation Service Center, Shanghai 200003, China;
4. Technology Innovation Center for Land Spatial Eco-restoration in Metropolitan Area, Ministry of Natural Resources, Shanghai 200003, China;
5. East China Normal University, Shanghai 200241, China

英文摘要 Due to the shading by trees, it is difficult to use remote sensing technology to monitor the herbaceous vegetation in urban ecological forests, while manual monitoring is time-consuming and laborious. To address this challenge, this study puts the focus on habitat hotspot monitoring and identification to develop a rapid monitoring and identification technology system suitable for meso-scale urban ecological forests. With the high-resolution remote sensing images, the technology system is expected to quickly identify the spatial range with native herbaceous plants of high diversity, based which the importance sampling could be conducted. Field verification in Jinshan District of Shanghai shows that this method has good results, especially when only one sampling method could be used. The importance sampling if used along has a high detection efficiency for of native herbaceous plants at 79%, which is better than the combined use of systematic method and path method, which has a detection efficiency at 72%. When in combined use with other sampling methods, the importance sampling method can increase the efficiency of species detection by 16% to 24%. The combined use of systematic and importance sampling methods can improve the detection efficiency of native herbaceous plants up to about 88%, while the detection efficiency of native herbaceous plants using path and importance sampling method is about 96%. This indicates that there are a large number of native herbaceous plant species in habitat hotspots, and habitat hotspot identification technology is effective. Identifying the spatial range of habitat hotspots can improve the efficiency of biodiversity monitoring, reduce manpower/time costs in monitoring, and provide important spatial information for the planning, design, implementation, and evaluation of ecological restoration project. At the same time, using artificial intelligence technology can help with the research on the monitoring of public participation, reduce monitoring costs, and ensure the accuracy and sustainability of the monitoring and identification. This technology could provide a strong technical support for the rewilding of urban ecological forests, which would have broad application prospects and development potential.

英文关键词 urban ecological forest;rewilding;herbaceous plant;habitat hotspot;rapid monitoring and identification technology

起始页码 56

截止页码 63

投稿时间 2024/2/7

作者简介 杨博(1983-),男,硕士,高级工程师,研究方向为城市生态空间规划。E-mail:yb@shsyky.com

通讯作者介绍 郑思俊(1982-),男,博士,教授级高工,研究方向为城市生态修复。E-mail:zsj@shsyky.com

E-mail zsj@shsyky.com

DOI 10.12169/zgcsly.2024.02.07.0001

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