Institute for Applied Data Analytics, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE 1410, Brunei.
School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
Sci Total Environ. 2018 Jun 1;625:194-198. doi: 10.1016/j.scitotenv.2017.12.198. Epub 2017 Dec 27.
Data of alien species presences are generally more readily available in protected than non-protected areas due to higher sampling efforts inside protected areas. Are the results and conclusions based on analyses of data collected in protected areas representative of wider non-protected regions? We address this question by analysing some recently published data of alien plants in Greece. Mixed effects models were used with alien species presences in 8.25×8.25km cells as dependent variable and the percentage of protected area, as well as the agricultural and artificial land cover types richness (as indicators of human presence) as independent variables. In addition, the spatial cross-correlation between the percentage of protected area and alien species richness was examined across scales. Results indicated that the percentage of protected area per cell is a poor predictor of alien species richness. Spatial analysis indicated that cells with higher percentage of protected areas have slightly less alien species than cells with lower percentage of protected areas. This result is likely to be driven by the overall negative correlation between habitat protection and anthropogenic activities. Thus, the conclusions deduced by data deriving from protected areas are likely to hold true for patterns of alien species in non-protected areas when the human pressures are accounted for.
由于保护区内的采样工作力度更大,因此有关外来物种存在的数据通常在保护区内比非保护区内更容易获得。基于在保护区内收集的数据进行的分析结果和得出的结论是否能代表更广泛的非保护区?我们通过分析希腊最近公布的一些外来植物数据来回答这个问题。使用混合效应模型,将 8.25×8.25km 单元格中外来物种的存在作为因变量,保护区的比例以及农业和人工土地覆盖类型的丰富度(作为人类存在的指标)作为自变量。此外,还在不同尺度上检查了保护区比例与外来物种丰富度之间的空间互相关。结果表明,每个单元格中的保护区比例是外来物种丰富度的一个较差的预测指标。空间分析表明,保护区比例较高的单元格中的外来物种略少于保护区比例较低的单元格。这一结果可能是由于栖息地保护和人为活动之间的总体负相关关系所致。因此,当考虑到人为压力时,从保护区获得的数据所推导的结论可能适用于非保护区的外来物种模式。