福建省主要入侵植物空间分异及其影响因素

doi:10.13287/j.1001-9332.201908.010

摘要/Abstract

摘要： 在实地调查数据的基础上,本研究结合GIS空间分析技术和地理探测器模型,分析福建省入侵植物空间分布情况,以及地理与社会环境因子及其交互作用对入侵植物分布的影响.结果表明: 福建省共记录入侵植物82种,其中,优势科为菊科,小蓬草、藿香蓟和空心莲子草出现频次最高.沿海区域的入侵植物物种数量多于内陆区域,福州和厦门为福建省外来入侵植物的两大热点地区.入侵植物在不同海拔均有分布,但入侵植物的种类随着海拔的升高总体呈下降趋势.地理探测器分析显示,自然环境因子中降水和社会经济因子中路网密度、人口密度是入侵植物空间分布的主要影响因子.各因子的空间交互作用会正向影响入侵植物的空间分布,这反映出入侵植物空间分布影响要素的复杂性.综上,将地理探测器应用到入侵植物研究领域是可行的,筛选出的环境指示因子可用于监测福建省入侵植物的适生区,从而为采取有效的防控措施提供科学依据.

Abstract: Based on the field investigation data and the integration GIS spatial methods and geographical detector model, we analyzed the main and interactive effects of geographical and social environmental factors on the distribution of invasive plants in Fujian Province, China. The results showed that a total of 82 invasive plant species were recorded, with Compositae as the dominant family. Conyza canadensis, Ageratum conyzoides, and Alternanthera philoxeroides had the highest frequencies. There were more invasive species in coastal areas than in inland areas. Fuzhou and Xiamen were the hot areas for plant invaision. The invasive plants widely distributed at different altitudes, and the invasion reduced with the increasing altitude. The geographical detector analysis showed that rainfall as a natural environment factor and road density and people density as socio-economy factors were the major driving factors for the distribution of invasive plant species. The multi-factor interaction had a positive effect on the spatial distribution of invasive plants, implying the complexity of impact factors on the distribution of invasive plant species. In conclusion, the geographical detector could be used in the studies of invasive plants, and environmental factors could be also applied for monitoring the suitable establishment areas of invasive plants in Fujian Province. Our results provide a scientific basis for effective management of invasive plants.

李志鹏, 赵健, 陈业滨, 陈宏, 林娜, 邱荣洲. 福建省主要入侵植物空间分异及其影响因素[J]. 应用生态学报, 2019, 30(8): 2682-2690.

LI Zhi-peng, ZHAO Jian, CHEN Ye-bin, CHEN Hong, LIN Na, QIU Rong-zhou. Spatial variation and driving factors of invasive plants in Fujian Province, China[J]. Chinese Journal of Applied Ecology, 2019, 30(8): 2682-2690.

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