Deus Ernesto, Silva Joaquim S, Catry Filipe X, Rocha Miguel, Moreira Francisco
Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal.
Centre for Applied Ecology "Prof. Baeta Neves", InBIO Associate Laboratory, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017, Lisboa, Portugal.
Environ Monit Assess. 2015 Oct;188(10):560. doi: 10.1007/s10661-016-5555-1. Epub 2016 Sep 13.
Car surveys (CS) are a common method for assessing the distribution of alien invasive plants. Google Street View (GSV), a free-access web technology where users may experience a virtual travel along roads, has been suggested as a cost-effective alternative to car surveys. We tested if we could replicate the results from a countrywide survey conducted by car in Portugal using GSV as a remote sensing tool, aiming at assessing the distribution of Eucalyptus globulus Labill. wildlings on roadsides adjacent to eucalypt stands. Georeferenced points gathered along CS were used to create road transects visible as lines overlapping the road in GSV environment, allowing surveying the same sampling areas using both methods. This paper presents the results of the comparison between the two methods. Both methods produced similar models of plant abundance, selecting the same explanatory variables, in the same hierarchical order of importance and depicting a similar influence on plant abundance. Even though the GSV model had a lower performance and the GSV survey detected fewer plants, additional variables collected exclusively with GSV improved model performance and provided a new insight into additional factors influencing plant abundance. The survey using GSV required ca. 9 % of the funds and 62 % of the time needed to accomplish the CS. We conclude that GSV may be a cost-effective alternative to CS. We discuss some advantages and limitations of GSV as a survey method. We forecast that GSV may become a widespread tool in road ecology, particularly in large-scale vegetation assessments.
汽车调查(CS)是评估外来入侵植物分布的常用方法。谷歌街景(GSV)是一项免费的网络技术,用户可以在此体验沿道路的虚拟旅行,有人认为它是汽车调查的一种经济高效的替代方法。我们测试了是否可以使用GSV作为遥感工具,复制葡萄牙全国范围内通过汽车进行的一项调查结果,旨在评估桉树林附近路边蓝桉实生苗的分布情况。沿汽车调查收集的地理参考点用于创建道路样带,在GSV环境中可视作与道路重叠的线条,从而能够使用这两种方法对相同的采样区域进行调查。本文展示了两种方法比较的结果。两种方法都得出了相似的植物丰度模型,选择了相同的解释变量,重要性的层次顺序相同,并且对植物丰度的影响相似。尽管GSV模型的表现较差,且GSV调查检测到的植物较少,但仅通过GSV收集的额外变量提高了模型性能,并为影响植物丰度的其他因素提供了新的见解。使用GSV进行调查所需的资金约为汽车调查的9%,时间为62%。我们得出结论,GSV可能是汽车调查的一种经济高效的替代方法。我们讨论了GSV作为一种调查方法的一些优点和局限性。我们预测,GSV可能会成为道路生态学中一种广泛使用的工具,特别是在大规模植被评估中。