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Applying a landscape ecology approach to quantify the structure, ecology and use of the seascape by coral reef fish assemblages at multple spatial scales.

机译:应用景观生态学方法来量化多个空间尺度上的珊瑚礁鱼群的海景的结构,生态学和用途。

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摘要

Coral reefs are one of the most ecologically and economically important ecosystems on Earth and provide key habitat to coral reef fishes. Global degradation of coral reefs is occurring rapidly as a result of direct anthropogenic stress and global climate change. Scientists and managers must embrace new and innovative ways to address these issues facing our coastal resources and the transdisciplinary approach of landscape ecology provides a theoretical background to address the complex problems facing the natural environment. The overall goal of this research was to integrate bathymetric LiDAR (Light Detection and Ranging) technology with a landscape ecological approach to quantify the structure, ecology and use of the seascape by coral reef fish assemblages.;The first objective was to determine ecologically relevant two dimensional marine landscape pattern metrics through a literature review. The second objective was to evaluate the relationship between three dimensional LiDAR-derived landscape pattern metrics and coral reef fish assemblage structure to support spatially explicit modeling. LiDAR was found to provide valuable rugosity measures and transect sites in hard bottom habitats alone demonstrated significant positive associations with LiDAR-derived habitat complexity and numerical abundance, species richness, and biomass.;The third objective was to develop spatially explicit models of fish assemblage structure across the Main Hawaiian Islands. The results demonstrate that three dimensional LiDAR-derived environmental covariables support more robust spatially predictive modeling of coral reef fish assemblage structure compared to simpler models. The results of this research: (1) represents a critical step in understanding the link between pattern and process in the ocean; (2) advance spatially predictive modeling of fish assemblages; (3) demonstrates a novel application of LiDAR technology in the marine realm; and, (4) had significant implications for marine conservation and management in Hawaii and beyond.
机译:珊瑚礁是地球上最重要的生态和经济生态系统之一,为珊瑚礁鱼类提供了重要的栖息地。由于直接的人为压力和全球气候变化,全球珊瑚礁正在迅速退化。科学家和管理人员必须采用新颖的方法来解决我们沿海资源所面临的这些问题,而景观生态学的跨学科方法为解决自然环境所面临的复杂问题提供了理论背景。这项研究的总体目标是将测深LiDAR(光检测和测距)技术与景观生态学方法相结合,以量化珊瑚礁鱼群的海景的结构,生态学和用途。第一个目标是确定与生态学相关的两个通过文献综述对海洋景观格局进行度量。第二个目标是评估三维LiDAR衍生的景观格局指标与珊瑚礁鱼类组合结构之间的关系,以支持空间显式建模。发现LiDAR可提供有价值的褶皱度,仅在硬底生境中的横断面就显示出与LiDAR衍生的生境复杂性,数量丰富度,物种丰富度和生物量具有显着的正相关关系;第三个目标是建立空间清晰的鱼群结构模型横跨夏威夷主岛。结果表明,与更简单的模型相比,三维LiDAR衍生的环境协变量支持更强大的珊瑚礁鱼组件结构的空间预测建模。这项研究的结果:(1)代表了理解海洋模式与过程之间联系的关键步骤; (2)推进鱼群的空间预测建模; (3)演示了LiDAR技术在海洋领域中的新应用; (4)对夏威夷及其他地区的海洋保护和管理具有重要意义。

著录项

  • 作者

    Wedding, Lisa.;

  • 作者单位

    University of Hawai'I at Manoa.;

  • 授予单位 University of Hawai'I at Manoa.;
  • 学科 Biology Ecology.;Physical Geography.;Biology Oceanography.;Agriculture Fisheries and Aquaculture.;Geography.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 189 p.
  • 总页数 189
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:32

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