Soto Ismael, Ahmed Danish A, Balzani Paride, Cuthbert Ross N, Haubrock Phillip J
University of South Bohemia in České Budějovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Zátiší 728/II, 389 25 Vodňany, Czech Republic.
Center for Applied Mathematics and Bioinformatics, Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Kuwait.
Sci Total Environ. 2023 May 10;872:161818. doi: 10.1016/j.scitotenv.2023.161818. Epub 2023 Feb 16.
Identifying general patterns and trends underlying the impacts and dynamics of biological invasions has proven elusive for scientists. Recently, the impact curve was proposed as a means to predict temporal impacts of invasive alien species, characterised by a sigmoidal growth pattern with an initial exponential increase, followed by a subsequent rate of decline and approaching a saturation level in the long-term where impact is maximised. While the impact curve has been empirically demonstrated with monitoring data of a single invasive alien species (the New Zealand mud snail, Potamopyrgus antipodarum), broadscale applicability remains to be tested for other taxa. Here, we examined whether the impact curve can adequately describe the invasion dynamics of 13 other aquatic species (within Amphipoda, Bivalvia, Gastropoda, Hirudinea, Isopoda, Mysida, and Platyhelminthes) at the European level, employing multi-decadal time series of macroinvertebrate cumulative abundances from regular benthic monitoring efforts. For all except one tested species (the killer shrimp, Dikerogammarus villosus), the sigmoidal impact curve was strongly supported (R > 0.95) on a sufficiently long time-scale. For D. villosus, the impact had not yet reached saturation, likely reflecting the ongoing European invasion. The impact curve facilitated estimation of introduction years and lag phases, as well as parameterisation of growth rates and carrying capacities, providing strong support for the boom-bust dynamics typically observed in several invader populations. These findings suggest that impact can grow rapidly before saturating at a high level, with timely monitoring often lacking for the detection of invasive alien species post-introduction. We further confirm the applicability of the impact curve to determine trends in invasion stages, population dynamics, and impacts of pertinent invaders, ultimately helping inform the timing of management interventions. We hence call for improved monitoring and reporting of invasive alien species over broad spatio-temporal scales to permit further testing of large-scale impact consistencies across various habitat types.
对于科学家而言,识别生物入侵影响和动态背后的一般模式和趋势已被证明是难以捉摸的。最近,有人提出用影响曲线来预测外来入侵物种的时间影响,其特征是呈S形增长模式,初期呈指数增长,随后下降速度逐渐减慢,并在长期内接近饱和水平,此时影响最大。虽然通过单一外来入侵物种(新西兰泥蜗,Potamopyrgus antipodarum)的监测数据已从经验上证明了影响曲线,但对于其他分类群,其广泛适用性仍有待检验。在这里,我们利用定期底栖生物监测工作中多十年的大型无脊椎动物累积丰度时间序列,研究了影响曲线是否能充分描述欧洲层面上其他13种水生物种(属于双甲目、双壳纲、腹足纲、蛭纲、等足目、糠虾目和扁形动物门)的入侵动态。对于除一种受试物种(杀手虾,Dikerogammarus villosus)之外的所有物种,在足够长的时间尺度上,S形影响曲线得到了有力支持(R>0.95)。对于D. villosus,其影响尚未达到饱和,这可能反映了其在欧洲仍在持续入侵。影响曲线有助于估计引入年份和滞后期,以及对增长率和承载能力进行参数化,为几个入侵种群中通常观察到的兴衰动态提供了有力支持。这些发现表明,影响在达到高水平饱和之前可能会迅速增长,而引入后对外来入侵物种的检测往往缺乏及时监测。我们进一步证实了影响曲线在确定入侵阶段趋势、种群动态以及相关入侵者影响方面的适用性,最终有助于为管理干预的时机提供信息。因此,我们呼吁在广泛的时空尺度上改进对外来入侵物种的监测和报告,以便对不同栖息地类型的大规模影响一致性进行进一步检验。