Curriculum for the Environment & Ecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599-3280, USA.
Department of Sciences and Mathematics, Saint Mary-of-the-Woods College, Saint Mary of the Woods, Indiana, 47876, USA.
Ecology. 2017 Dec;98(12):3086-3095. doi: 10.1002/ecy.2028. Epub 2017 Nov 8.
Biological invasions can have dramatic impacts on communities and biodiversity, and are critical considerations in conservation and management decisions. We present a novel analysis to determine how exotic species success varies with community richness and scale of measurement. Using 5,022 plots representing natural vegetation of the Carolinas, we calculated native and exotic species richness of all vascular plants at five grain sizes. To avoid spatial pseudoreplication, we randomly selected unique subplots from each larger plot, re-selecting 100 times to develop an empirical distribution of the native-exotic richness relationship (NERR). Because observed NERRs vary with spatial scale, we developed separate scale-specific null-model distributions to compare to the empirical data. For each spatial scale, we compared the empirical distribution of 100 slopes to the null distribution containing 99 permutations of species origin per empirical slope. We also analyzed the dataset according to broad assignments corresponding to environmental conditions, using the formation type assigned to each community. The plots followed across most scales the general trend that exotic richness increases with native richness. At the smallest scale, however, the NERR was negative. The slope of the NERR is significantly higher than the null model at the largest observed scale and significantly lower than the null model at the smallest two observed scales. The NERR for most formations follows the general pattern with scale for the entire dataset. Warm temperate forests expressed essentially 0 slope at the largest spatial grain, decreasing to a negative relationship at 1 m and smaller. Temperate freshwater marshes and wet meadows and shrublands expressed a positive relationship at all spatial grains, demonstrating that unique environmental and biogeographic conditions differentially affect exotic species. Further, these results indicate that exotic species are unevenly distributed across natural communities and that community assembly processes vary with scale.
生物入侵会对群落和生物多样性产生巨大影响,是保护和管理决策中的重要考虑因素。我们提出了一种新的分析方法,以确定外来物种的成功与群落丰富度和测量尺度的关系。我们利用代表卡罗莱纳州自然植被的 5022 个样本来计算所有维管束植物的本地和外来物种丰富度,共使用了 5 种粒度。为了避免空间伪重复,我们从每个较大的样方中随机选择了唯一的子样方,重新选择了 100 次,以开发一个关于本地-外来物种丰富度关系(NERR)的经验分布。由于观察到的 NERR 随空间尺度而变化,我们开发了单独的尺度特异性零模型分布,以便与经验数据进行比较。对于每个空间尺度,我们比较了 100 个坡度的经验分布与包含每个经验坡度物种起源 99 次随机排列的零分布。我们还根据环境条件的广泛分配情况对数据集进行了分析,使用分配给每个群落的形成类型。在大多数尺度下,样方遵循外来物种丰富度随本地物种丰富度增加的一般趋势。然而,在最小的尺度上,NERR 是负的。在最大观测尺度上,NERR 的斜率显著高于零模型,在最小的两个观测尺度上显著低于零模型。对于大多数形成类型,NERR 遵循整个数据集的一般模式。暖温带森林在最大的空间粒度上基本上没有斜率,在 1 米和更小的空间粒度上减小到负相关。温带淡水沼泽和湿地以及灌丛和疏林在所有空间粒度上都表现出正相关关系,这表明独特的环境和生物地理条件对外来物种有不同的影响。此外,这些结果表明,外来物种在自然群落中分布不均匀,群落组装过程随尺度而变化。