School of Environment, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing Normal University, Beijing, China.
School of Environment, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing Normal University, Beijing, China; Advance Institute of Natural Sciences, Beijing Normal University, Zhuhai, China.
J Environ Manage. 2023 Sep 15;342:118297. doi: 10.1016/j.jenvman.2023.118297. Epub 2023 Jun 1.
Understanding the spatiotemporal landscape dynamics and spread pathways of invasive plants, as well as their interactions with geomorphic landscape features, are of great importance for predicting and managing their future range-expansion in non-native habitats. Although previous studies have linked geomorphic landscape features such as tidal channels to plant invasions, the potential mechanisms and critical characteristics of tidal channels that affect the landward invasion by Spartina alterniflora, an aggressive plant in global coastal wetlands, remain unclear. Here, using high-resolution remote-sensing images of the Yellow River Delta from 2013 to 2020, we first quantified the evolution of tidal channel networks by analyzing the spatiotemporal dynamics of their structural and functional characteristics. The invasion patterns and pathways of S. alterniflora were then identified. Based on the above-mentioned quantification and identification, we finally quantified the influences of tidal channel characteristics on S. alterniflora invasion. The results showed that tidal channel networks presented increasing growth and development over time, and their spatial structure evolved from simple to complex. The external isolated expansion of S. alterniflora played a dominant role during the initial invasion stage, and then they connected the discrete patches into the meadow through marginal expansion. Afterwards, tidal channel-driven expansion gradually increased and became the primary way during the late invasion stage, accounting for about 47.3%. Notably, tidal channel networks with higher drainage efficiency (shorter OPL, higher D and E) attained larger invasion areas. The longer the tidal channels and the more sinuous the channel structure, the greater the invasion potential by S. alterniflora. These findings highlight the importance of structural and functional properties of tidal channel networks in driving plant invasion landward, which should be incorporated into future control and management of invasive plants in coastal wetlands.
了解入侵植物的时空景观动态和传播途径,以及它们与地貌景观特征的相互作用,对于预测和管理它们在非原生栖息地的未来范围扩展非常重要。尽管先前的研究已经将地貌景观特征(如潮汐通道)与植物入侵联系起来,但影响全球沿海湿地中具有侵略性的植物互花米草(Spartina alterniflora)向内陆入侵的潮汐通道的潜在机制和关键特征仍不清楚。在这里,我们使用 2013 年至 2020 年黄河三角洲的高分辨率遥感图像,通过分析其结构和功能特征的时空动态,首次量化了潮汐通道网络的演变。然后确定了互花米草的入侵模式和途径。基于上述量化和识别,我们最后量化了潮汐通道特征对互花米草入侵的影响。结果表明,潮汐通道网络随着时间的推移呈现出不断增长和发展的趋势,其空间结构从简单到复杂演变。互花米草的外部孤立扩展在初始入侵阶段起主导作用,然后通过边缘扩展将离散斑块连接成草地。之后,潮汐通道驱动的扩展逐渐增加,并在后期入侵阶段成为主要方式,占比约为 47.3%。值得注意的是,排水效率较高(较短的 OPL、较高的 D 和 E)的潮汐通道网络达到了更大的入侵面积。潮汐通道越长,通道结构越曲折,互花米草的入侵潜力就越大。这些发现强调了潮汐通道网络的结构和功能特性在驱动植物向内陆入侵方面的重要性,这应该被纳入未来对沿海湿地入侵植物的控制和管理中。