Spatiotemporal Dynamics of Salt Marsh Vegetation regulated by Plant Invasion and Abiotic Processes in the Yangtze Estuary: Observations with a Modeling Approach
Spatiotemporal Dynamics of Salt Marsh Vegetation regulated by Plant Invasion and Abiotic Processes in the Yangtze Estuary: Observations with a Modeling Approach
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长江口植物入侵和非生物过程调控盐沼植被时空动态：模型观测
DOI：
10.1007/s12237-014-9804-7
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发表时间：
2015-01-01
影响因子：
2.7
通讯作者：
Yuan, Lin
中科院分区：
文献类型：
--
作者：
Ge, Zhen-Ming;Zhang, Li-Quan;Yuan, Lin
泥滩淤积、植被演替、植物入侵和相关的人为影响的自然过程使长江口成为研究盐沼动态的理想区域。为了了解控制盐沼植被时空动态的生物和非生物因素与外来植物(互花米草)扩张的关系以及本土物种(芦荟和芦荟)的响应，在崇明东滩和九段沙湿地建立了一个包含关键生态过程的网格模型。在2000-2008年模拟期间，OFS地区。由于湿地面积的迅速扩大，这两个湿地的湿地数量都显著减少。互花似锦。扩张率OFP。澳大利亚的速度很慢。模拟的盐沼植被时空动态与观测值的符合率为73%~91%。各盐沼物种分布面积的准确率更高(89-97%)。模拟和观测都表明，早期盐沼演替时期是建立盐沼生态系统的关键时期。互花米草在引进后。对2008-2015年期间的预测表明，外地行动的扩张率。交替花卉的速度会变慢。相比之下，该模型预测了OFS的分布。Mariqueter和P.澳大利亚将以稳定的速度增长。这背后的可能原因是，在目前的沉积速度下，栖息地在海拔阈值以上的增长与以前栖息地殖民的快速速度相比是微不足道的。在过去的十年里，互花似锦。研究表明，该模型在模拟和预测长江口盐沼植被动态方面具有一定的潜力，并表明，只要参数设置得当，该模型可以成功地应用于其他地区。最后，简要讨论了该模型的局限性及其在滨海湿地入侵物种监测和控制中的潜力。
The natural processes of mudflat accretion, vegetation succession, and plant invasion and associated anthropogenic impacts make the Yangtze Estuary an ideal area for the study of salt marsh dynamics. In order to understand the biotic and abiotic factors regulating the spatiotemporal dynamics of salt marsh vegetation in relation to the expansion of the exotic plant (Spartina alterniflora) and the consequent responses of native species (Phragmites australisandScirpus mariqueter), a grid-based model was developed incorporating the key ecological processes at Chongming Dongtan and Jiuduansha wetlands. During the simulation period of 2000–2008, the area ofS. mariqueterdecreased significantly at both wetlands, due to the rapid expansion ofS. alterniflora. The expansion rate ofP. australiswas slow. When compared with observations, the simulated spatiotemporal dynamics of salt marsh vegetation showed a percentage match of 73–91 %. The accuracy of the distribution area for each salt marsh species was even higher (89–97 %). Both simulation and observation revealed that the period of early salt marsh succession was crucial for colonization and establishment ofS. alternifloraafter its introduction. Projections for the period 2008–2015 indicated that the expansion rate ofS. alterniflorawould slow down. In contrast, the model predicted that the distribution ofS. mariqueterandP. australiswould increase at a steady pace. The probable reason behind this is that the accretion of habitat above the elevation threshold at the current rate of sedimentation is marginal compared to the previously rapid rate of habitat colonization byS. alternifloraover the past decade. This study indicates the model’s potential for simulating and predicting the dynamics of salt marsh vegetation in the Yangtze Estuary and demonstrates that, when appropriately parameterized, the model could be successfully applied elsewhere. Finally, the limitations of the model and its potential for monitoring and controlling invasive species in coastal wetlands are briefly discussed.