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Identifying 120 years of decline in ecosystem structure and maturity of Great South Bay, New York using the Ecopath modelling approach

机译:使用Ecopath建模方法确定纽约大南湾生态系统结构和成熟度下降120年

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摘要

Mass balanced models yield valuable information regarding ecological function and delivery of ecosystem services, but often rely on data collected well before many species were reduced to fractions of their original abundance. Lagoonal systems, such as Great South Bay (GSB), NY, sit on the interface of terrestrial and marine ecosystems and are prone to anthropogenic stressors but proximity to land also makes the presence of data regarding historic populations and structure more likely. To quantify over a century of ecosystem change, Ecopath models were developed for GSB at each of four time periods where commercial and scientific data exist: 1880s, 1930s, 1980s and 2000s. The results indicated that the GSB has experienced a decline in ecosystem maturity, loss of top keystone predators, a decline in connectivity to the ocean though the reduction of migratory species and increasing dominance of low trophic level organisms. These changes undermine the delivery of ecosystem services, increase conflicts over limited resources and suggest that present day restoration targets fail to recognize appropriate baselines. We discuss the role of stochastic events, which result in state changes that could be defined as regime shifts, and ecosystem connectivity to the long-term stability of lagoonal systems.
机译:质量平衡模型可提供有关生态功能和生态系统服务提供的有价值的信息,但通常会在许多物种减少到其原始丰度的一部分之前就充分依赖收集的数据。纽约州大南湾(GSB)之类的泻湖系统位于陆地和海洋生态系统的界面上,容易产生人为压力,但与土地的距离也使得存在有关历史种群和结构的数据的可能性更大。为了量化一个世纪的生态系统变化,在存在商业和科学数据的四个时间段中的每个时间段,为GSB开发了Ecopath模型:1880年代,1930年代,1980年代和2000年代。结果表明,尽管减少了迁徙物种并增加了低营养水平生物的主导地位,但GSB经历了生态系统成熟度下降,主要基石捕食者丧失,与海洋的连通性下降。这些变化破坏了生态系统服务的提供,加剧了有限资源之间的冲突,并表明当今的恢复目标未能认识到适当的基准。我们讨论了随机事件的作用,随机事件导致状态变化(可定义为政权转移)以及生态系统与泻湖系统长期稳定性的连通性。

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