Department of Mathematical Sciences, Centre for Invasion Biology, Stellenbosch University, Matieland, 7600, South Africa.
Department of Botany and Zoology, Centre for Invasion Biology, Stellenbosch University, Matieland, 7600, South Africa.
Ecology. 2018 Dec;99(12):2763-2775. doi: 10.1002/ecy.2528. Epub 2018 Nov 12.
Communities comprising alien species with different residence times are natural experiments allowing the assessment of drivers of community assembly over time. Stochastic processes (such as dispersal and fluctuating environments) should be the dominant factors structuring communities of exotic species with short residence times. In contrast, communities should become more similar, or systematically diverge, if they contain exotics with increasing resident times, due to the increasing importance of deterministic processes (such as environmental filtering). We use zeta diversity (the number of species shared by multiple assemblages) to explore the relationship between the turnover of native species and two categories of alien species with different residence times (archaeophytes [introduced between 4000 BC and 1500 AD] and neophytes [introduced after 1500 AD]) in a network of nature reserves in central Europe. By considering multiple assemblages simultaneously, zeta diversity allows us to determine the contribution of rare and widespread species to turnover. Specifically, we explore the relative effects of assembly processes representing isolation by distance, environmental filtering, and environmental stochasticity (fluctuating environments) on zeta diversity using Multi-Site Generalized Dissimilarity Modelling (MS-GDM). Four clusters of results emerged. First, stochastic processes for structuring plant assemblages decreased in importance with increasing residence time. Environmental stochasticity only affected species composition for neophytes, offering possibilities to predict the spread debt of recent invasions. Second, native species turnover was well explained by environmental filtering and isolation by distance, although these factors did not explain the turnover of archaeophytes and neophytes. Third, native and alien species compositions were only correlated for rare species, whereas turnover in widespread alien species was surprisingly unrelated to the composition of widespread native species. Site-specific approaches would therefore be more appropriate for the monitoring and management of rare alien species, whereas species-specific approaches would suit widespread species. Finally, the size difference of nature reserves influences not only native species richness, but also their richness-independent turnover. A network of reserves must therefore be designed and managed using a variety of approaches to enhance native diversity, while controlling alien species with different residence times and degrees of commonness.
包含居留时间不同的外来物种的群落是自然实验,可以评估随时间推移群落组装的驱动因素。随机过程(如扩散和波动的环境)应该是结构短居留时间外来物种群落的主要因素。相比之下,如果群落中包含居留时间较长的外来物种,由于确定性过程(如环境过滤)的重要性增加,群落应该变得更加相似或系统地分化。我们使用 zeta 多样性(多个组合中共享的物种数量)来探索原生物种周转率与两种具有不同居留时间的外来物种类别(古植物(公元前 4000 年至公元 1500 年之间引入)和新植物(公元 1500 年之后引入))之间的关系在中欧的自然保护区网络中。通过同时考虑多个组合,zeta 多样性允许我们确定稀有和广泛物种对周转率的贡献。具体来说,我们使用多站点广义差异模型(MS-GDM)来探索代表距离隔离、环境过滤和环境随机性(波动环境)的组装过程对 zeta 多样性的相对影响。结果出现了四个聚类。首先,随着居留时间的增加,结构植物组合的随机过程的重要性降低。环境随机性仅影响新植物的物种组成,为预测最近入侵的扩散债务提供了可能性。其次,虽然这些因素不能解释古植物和新植物的周转率,但环境过滤和距离隔离很好地解释了原生物种的周转率。第三,只有稀有物种的本地和外来物种组成相关,而广泛外来物种的周转率与广泛本地物种的组成出人意料地无关。因此,对于稀有外来物种的监测和管理,站点特定的方法将更为合适,而对于广泛的物种,物种特定的方法将更合适。最后,自然保护区的大小差异不仅影响本地物种的丰富度,还影响其独立于物种丰富度的周转率。因此,必须使用各种方法来设计和管理保护区网络,以提高本地多样性,同时控制具有不同居留时间和常见程度的外来物种。