基于高斯和种群动力学耦合模型的湿地植被演替模拟:鄱阳湖湿地案例研究

Long Sun , Zhen Han , Shiyan Wang , Jie Wang , Xiaobo Liu , Jialin Wang
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引用次数: 0

摘要

湿地植被是湿地生态系统中最重要的初级生产者,也是生态系统健康的指标。2003 年以后,鄱阳湖与长江的 "江湖关系 "发生了重大变化,秋冬季干旱加剧,沙洲淹没期缩短,湿地植被的群落结构和空间分布发生了显著变化。本研究将高斯模型与种群动力学模型相结合,模拟了不同水文年型下湿地植被对淹没持续时间的响应,揭示了植被分布与淹没持续时间之间的关系。研究确定了湿地植被的生长率和死亡率等关键参数,并模拟了鄱阳湖湿地在湿润年(2010 年)、正常年(2001 年)、干旱年(2006 年)、极端湿润年(1998 年)和极端干旱年(2022 年)五个代表性年份的植被演替和空间分布。结果表明,湿地植被对淹没持续时间的反应遵循高斯曲线,每个物种都有一个最佳的淹没持续时间范围。当持续时间超出这一范围时,死亡率就会增加。2010 年,湿地植被的总面积与正常年份相近,但不同植物物种的比例差异很大。与 2001 年相比,箭毒草(Phalaris arundinacea)和蓼(Polygonum criopolitanum)的面积分别增加了 50.92 % 和 24.86 %,而糙叶苇草(Phragmites australis)和箭毒草(Triarrhena lutarioriparia)的面积则分别减少了 71.66 % 和 83.49 %。1998 年,植被总面积大幅缩减,与 2001 年相比减少了 54.74%,与 2006 年相比减少了 64.32%。相比之下,湿地植被总面积在极端干旱的 2022 年达到最大值,与 2001 年相比增加了 41.35%。在优势物种中,Carex spp.、Cynodon dactylon 和 Phragmites australis 在干旱年份显著增加,而 Phalaris arundinacea 和 Polygonum criopolitanum 则更适应洪水条件。
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Simulation of wetland vegetation succession based on coupled Gaussian and population dynamics models: A case study of Poyang Lake wetlands
Wetland vegetation is the most crucial primary producer in wetland ecosystems and serves as an indicator of ecosystem health. After 2003, significant changes occurred in the “river-lake relationship” between Poyang Lake and the Yangtze River, with intensified dry conditions in autumn and winter leading to a shortened inundation period for sandbanks and significant changes in the community structure and spatial distribution of wetland vegetation. By coupling a Gaussian model with a population dynamics model, this study simulated the response of wetland vegetation to inundation duration under different hydrological year types, revealing the relationship between vegetation distribution and inundation duration. Key parameters, such as growth and mortality rates, were identified, and the vegetation succession and spatial distribution of Poyang Lake wetlands were simulated for five representative years: a wet year (2010), a normal year (2001), a dry year (2006), an extreme wet year (1998), and an extreme dry year (2022). The results showed that the response of wetland vegetation to inundation duration followed a Gaussian curve, with each species exhibiting an optimal range of inundation durations. Mortality rates increased when the duration fell outside this range. In 2010, the total area of wetland vegetation was similar to that in a normal year, but the proportions of different plant species varied significantly. Compared to 2001, the areas of Phalaris arundinacea and Polygonum criopolitanum increased by 50.92 % and 24.86 %, respectively, while the areas of Phragmites australis and Triarrhena lutarioriparia decreased by 71.66 % and 83.49 %. In 1998, the total vegetation area shrank considerably, with a 54.74 % reduction compared to 2001 and a 64.32 % reduction compared to 2006. In contrast, the total wetland vegetation area reached its maximum in the extreme dry year of 2022, increasing by 41.35 % compared to 2001. Among dominant species, Carex spp., Cynodon dactylon, and Phragmites australis expanded significantly in dry years, while Phalaris arundinacea and Polygonum criopolitanum were better adapted to flood conditions.
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