Heterogeneity and Resilience Dynamics of Submerged Macrophytes in the Littoral Zone of Lake Constance (HRSC) Analysis of spatio-temporal changes of submerged macrophytes and their interactions with ecosystem functions by integrating knowledge-based, multi
Heterogeneity and Resilience Dynamics of Submerged Macrophytes in the Littoral Zone of Lake Constance (HRSC) Analysis of spatio-temporal changes of submerged macrophytes and their interactions with ecosystem functions by integrating knowledge-based, multi
批准号:
389595933
负责人:
Professor Dr. Klaus Schmieder
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2021-12-31
中文摘要
由于营养水平的波动,康斯坦茨湖的沿海植被在过去几十年里发生了巨大的变化。然而,尽管物种组成的变化是众所周知的,但还没有研究探讨这些变化如何影响空间异质性,或者它们如何在功能上影响依赖的生物群落。同样缺乏对水生生态系统理论概念进行检验的长期研究。因此,这一联合项目的目的是首次分析康斯坦茨湖沉水植物结构的空间异质性。我们将分析从激光雷达和高光谱数据中提取的大型植物3D斑块,并量化结构异质性和生物量的区域模式。在此基础上,我们将推导出功能方面的空间显式模型,并通过将这些模型转换到1967、1978和1993年的地理信息系统数据来分析长期弹性动态。因此,通过将康斯坦茨湖长期的、空间高分辨率的地理信息系统数据与当前水环境中的遥感技术相结合,我们将创造一个独特的机会,更好地了解富营养化和少营养化如何影响沉水植被结构的空间异质性和沿海生态系统对严重干扰的恢复能力。此外,我们还将能够在滨海生态系统中测试理论概念,并促进景观湖泊学这一年轻的研究领域的发展。
英文摘要
The littoral vegetation of Lake Constance has changed drastically over the past decades due to fluctuations in nutrient levels. However, although much is known about the resulting changes in species composition, no studies have explored how these changes affect spatial heterogeneity or how they functionally influence dependant biological communities. Similarly lacking are long-term studies testing theoretical concepts in aquatic ecosystems. Therefore, the aims of this joint project are to analyse for the first time the spatial heterogeneity of submersed macrophyte structures in Lake Constance. We will analyse the macrophyte 3D patches extracted from LiDAR and hyperspectral data and quantify the regional patterns in structural heterogeneity and biomass. From this, we will deduce spatially explicit models of functional aspects and analyse the long-term resilience dynamics by transferring these models to the GIS data from 1967, 1978 and 1993. Thus, by integrating long-term, spatially high-resolution GIS data of Lake Constance with a combination of current remote sensing techniques in an aquatic environment, we will create a unique opportunity to better understand how eutrophication and oligotrophication affect spatial heterogeneity of submersed vegetation structures and the resilience capacity of the littoral ecosystem from severe disturbances. Furthermore, we will be able to test theoretical concepts in littoral ecosystems and promote the young research field of landscape limnology.
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