CAREER: The Delta Connectome: Structure and Transport Dynamic of Delta Networks across Scales and Disciplines

职业：达美连接组：跨规模和学科的达美网络的结构和传输动态

基本信息

批准号：
1350336
负责人：
Paola Passalacqua
金额：
$ 53.27万
依托单位：
University of Texas at Austin
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-06-01 至 2020-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1350336&HistoricalAwards=false
关键词：
CAREER Delta Connectome Structure Transport

项目摘要

Rich in ecosystem diversity and economic resources, deltas host approximately half a billion people. However, anthropogenic disturbance, natural subsidence, and eustatic sea-level rise are major causes of threat to deltas and managing and preserving these dynamic centers of activity is imperative. This CAREER project creates a research/educational framework, the Delta Connectome, based on the general idea of a delta as a directed network of connected paths, which interact continuously at a broad range of spatial and temporal scales that dictate system response to change. Such relationships have been established in many fields, from metabolic networks and food webs, to neural interactions, but similar work on deltaic systems has yet to be developed. The project will use a network-theoretic framework, incorporating remote sensing data analysis, numerical modeling, and field observations, to develop software that will characterize the spatial and temporal variability of deltas and quantify couplings among variables within these systems. How the system responds to change and its resilience to natural and anthropogenic perturbations at varying spatial and temporal scales will then be determined. Specific goals of this project include: (i) the objective quantification of delta morphologic features to identify the signature of vegetation, anthropogenic disturbance, and processes responsible for delta formation and evolution; (ii) the development of an automatic image processing-based tool for the extraction of relevant information from remotely sensed data; (iii) the identification of the environmental controls on channel network and shoreline dynamics through coupled analysis of extracted features; and (iv) the quantification of strength, directionality, statistical significance, and scale of couplings among key variables and the effect of anthropogenic disturbance and change on such couplings. Ultimately, the software will provide a valuable tool for studying deltaic systems and informing coastal restoration. Human-induced activities and climatic shifts are significantly impacting deltas around the world. A quantitative description of the form and structure of deltas and their dynamics is fundamental to address how they react to changes in climatic forces and human pressure. The project provides an innovative combination of teaching, training, learning, and dissemination activities to communicate these impacts to the research community, the public, and future scientists. The tools developed from the project will be released as open source software through the Community Surface Dynamics Modeling System (CSDMS) repository and National Center for Earth-Surface Dynamics (NCED) website. NCED Summer Institutes will provide annual tutorials on software use and the tools will also be integrated into courses taught at the University of Texas at Austin (UT-Austin). Additionally, an Exploration Unit directed to high school students will be developed for the UTeach Engineering Program at UT-Austin. In this unit, remote sensing imagery and visual arts will be used to present environmental problems such as coastal restoration and the effect of humans and climate on the natural environment.

Deltas拥有丰富的生态系统多样性和经济资源，拥有约十亿人。然而，人为干扰，自然的沉降和欣高的海平面上升是威胁三角洲以及管理和保存这些动态活动中心的主要原因。这个职业项目创建了一个研究/教育框架，即Delta Connectome，基于Delta作为指示的连接路径网络的一般思想，该网络在广泛的空间和时间尺度上连续交互，这决定了系统对变化的系统响应。从代谢网络和食物网到神经相互作用，许多领域都建立了这种关系，但是在三角洲系统上的类似工作尚未开发。该项目将使用网络理论框架，结合遥感数据分析，数值建模和现场观测值，以开发软件，这些软件将表征三角洲的空间和时间变化，并量化这些系统中变量之间的耦合。然后将确定系统如何响应变化及其对自然和人为扰动在不同的空间和时间尺度下的弹性。该项目的具体目标包括：（i）三角洲形态特征的客观量化，以确定植被的特征，人为干扰以及负责三角洲形成和进化的过程；（ii）开发基于自动图像处理的工具，以从远程感知的数据中提取相关信息；（iii）通过耦合提取的特征分析，在通道网络和海岸线动力学上识别环境控制；（iv）关键变量之间的强度，方向性，统计意义和耦合尺度的量化以及人为干扰和变化对此类耦合的影响。最终，该软件将为研究三角洲系统和沿海修复提供宝贵的工具。人类引起的活动和气候变化极大地影响了世界各地的三角洲。对三角洲的形式和结构的定量描述及其动力学是针对它们如何应对气候力和人类压力的变化的基础。该项目提供了教学，培训，学习和传播活动的创新组合，以将这些影响传达给研究界，公众和未来的科学家。该项目开发的工具将通过社区表面动态建模系统（CSDMS）存储库和国家地球表面动力学中心（NCED）网站作为开源软件发布。 NCED Summer Institutes将提供有关软件使用的年度教程，工具还将集成到德克萨斯大学奥斯汀分校（UT-Austin）教授的课程中。此外，将为UT-Austin的UTEACH工程计划开发针对高中生的探索部门。在这个单元中，遥感图像和视觉艺术将用于提出环境问题，例如沿海修复以及人类和气候对自然环境的影响。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Biogeochemical and Hydrological Variables Synergistically Influence Nitrate Variability in Coastal Deltaic Wetlands

生物地球化学和水文变量协同影响沿海三角洲湿地硝酸盐变化

DOI：
10.1029/2020jg005737
发表时间：
2021
期刊：
Journal of Geophysical Research: Biogeosciences
影响因子：
0
作者：
Sendrowski, Alicia;Castañeda‐Moya, Edward;Twilley, Robert;Passalacqua, Paola
通讯作者：
Passalacqua, Paola

Resilience of River Deltas in the Anthropocene