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Generating space-time hypotheses in complex social-ecological systems.

机译:在复杂的社会生态系统中生成时空假设。

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摘要

As ecosystems degrade globally, ecosystem services that support life are increasingly threatened. Indications of degradation are occurring in the Northern Indian River Lagoon (IRL) estuary in east central Florida. Factors associated with ecosystem degradation are complex, including climate and land use change. Ecosystem research needs identified by the Millennium Ecosystem Assessment (MA) include the need to: consider the social with the physical; account for dynamism and change; account for complexity; address issues of scale; and focus on ecosystem structure and process.;Ecosystems are complex, self-organizing, multi-equilibrial, non-linear, middle-number systems that exist in multiple stable states. Results found are relative to the observation and the frame of analysis, requiring multi-scaled analytical techniques. This study addresses the identified ecosystem research needs and the complexity of the associated factors given these additional constraints.;Relativity is addressed through univariate analysis of dissolved oxygen as a measure of the general health of the Northern IRL. Multiple spatial levels are employed to associate social process scales with physical process scales as basin, sub-basins, and watersheds. Scan statistics return extreme value clusters in space-time. Wavelet transforms decompose time-scales of cyclical data using varying window sizes to locate change in process scales in space over time. Wavelet transform comparative methods cluster temporal process scales across space. Combined these methods describe the space-time structure of process scales in a complex ecosystem relative to the variable examined, where the highly localized results allow for connection to unexamined variables.;The results describe discontinuities in seasonal cycles for dissolved oxygen observations, where discrete temporal intervals of interest are situated in space as indicators of external changing conditions or thresholds of internal change. Process scales are shown to be influenced by local, not global or regional effects, and indicate issues related to governance not management. Discontinuities in expected seasonal cycles are observed at most locations. These localized impairment indicators represent generated spacetime hypotheses through system reduction without summary or aggregation, and focus limited resources to generate additional knowledge and understanding. Similar analysis of other relevant variables is recommended to approach holistic understanding of the complex Northern IRL estuarine system.
机译:随着生态系统在全球范围内退化,支持生命的生态系统服务日益受到威胁。退化的迹象发生在佛罗里达州中东部的北印度河泻湖(IRL)河口。与生态系统退化有关的因素很复杂,包括气候和土地利用的变化。千年生态系统评估(MA)确定的生态系统研究需求包括:考虑社会与自然;解释动力和变化;解释复杂性;解决规模问题;生态系统是复杂的,自组织的,多平衡的,非线性的,中间数的系统,存在多个稳定状态。发现的结果与观察和分析框架有关,需要多尺度分析技术。这项研究解决了已确定的生态系统研究需求以及给定这些额外约束的相关因素的复杂性。相对性通过对溶解氧的单变量分析来解决,以衡量北部IRL的总体健康状况。采用多个空间级别将社会过程规模与物理过程规模相关联,如盆地,子流域和分水岭。扫描统计信息会在时空中返回极值簇。小波变换使用变化的窗口大小分解循环数据的时间尺度,以定位空间过程尺度随时间的变化。小波变换比较方法将整个空间的时间过程尺度聚类。这些方法的结合描述了相对于所考察变量的复杂生态系统中过程规模的时空结构,其中高度局部化的结果允许与未经检验的变量建立联系;结果描述了溶解氧观测的季节性周期的不连续性,其中离散的时间感兴趣的间隔位于空间中,作为外部变化条件或内部变化阈值的指标。流程规模显示受本地,而非全球或区域影响的影响,并指示与治理而非管理相关的问题。在大多数地区,预期季节性周期都出现了不连续性。这些本地化的损害指标代表通过系统缩减而无需汇总或汇总的方式生成的时空假设,并集中有限的资源来产生更多的知识和理解。建议对其他相关变量进行类似分析,以全面理解复杂的北部IRL河口系统。

著录项

  • 作者

    Forbes, Dolores Jane.;

  • 作者单位

    Florida Atlantic University.;

  • 授予单位 Florida Atlantic University.;
  • 学科 Geodesy.;Geography.;Water Resource Management.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 190 p.
  • 总页数 190
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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