Collaborative Research: Cross-Scale Interactions Among Climate, Land-Use, and River-Water Quality

合作研究：气候、土地利用和河流水质之间的跨尺度相互作用

• 批准号: 1359970
• 负责人: Jason Julian
• 金额: $ 7.22万
• 依托单位: Texas State University - San Marcos
• 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: 2014-08-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1359970&HistoricalAwards=false
• 关键词: Collaborative; Research; Cross; Scale; Interactions

Water quality is one of the world's most valued natural resources. Given recent and predicted changes in both climate (more frequent and intense droughts in some regions) and land use (agricultural intensification associated with increasing global demand for meat, dairy, and forestry products), it is important to understand how simultaneous changes in climate and land use affect water quality. For example, does agricultural intensification during a drought increase sediment runoff into rivers, and at what scales do these effects take place? This project will use remote sensing and computer visualization tools to analyze how interactions between shifting climate and land use affect river water quality across multiple interacting scales: from minutes to decades, and from small catchments to regional drainage basins. The proposed research will demonstrate how these cross-scale interactions affect a natural resource with multidimensional societal relevance: water treatment, recreation, safety, tourism, and ecosystem health. Findings from this research will inform emerging US data monitoring networks as to at which spatial and temporal scales water sampling should be conducted to capture interactions from climate and land use. Project results and data will be communicated to the public through various means, including open-access journals, a public website, and college/high school workshops. A fundamental question that this project will investigate is whether simultaneous shifts in climate and land use result in positive feedbacks and cascading events that lead to dramatic and widespread changes in river water quality. Previous studies have not been able to assess the effects of climate-land use interactions on river water quality over multiple spatial and temporal scales simultaneously due to (1) not having a toolkit that can analyze multiple dimensions and spatial-temporal scales simultaneously; (2) lack of resources (i.e., long-term and consistent water quality datasets with fine resolution); and (3) lack of technology (i.e., ability to capture land cover changes with fine spatial and temporal resolution). This project overcomes these limitations by using (1) a sophisticated set of visualization tools to analyze in combination; (2) one of the world's most comprehensive and extensive water quality datasets (25 years with corresponding climate data); and (3) a fused 8-day temporal resolution and 30-meter spatial resolution land cover dataset that has been developed for the entire country of New Zealand. Thus, this research will be the first time that the interactive effects of climate and land use changes on a suite of water quality variables will be assessed over multiple spatial-temporal scales simultaneously. Further, the application of sophisticated visual analysis tools to investigate landscape dynamics across multiple scales simultaneously could be the impetus for a new paradigm in Geography and Spatial Sciences.

水质是世界上最宝贵的自然资源之一。考虑到气候（某些地区干旱更加频繁和严重）和土地利用（与全球对肉类、奶制品和林业产品需求增加相关的农业集约化）的近期和预测变化，了解气候和土地利用的同时变化如何影响水质是很重要的。例如，干旱期间农业集约化是否会增加流入河流的沉积物，这些影响在多大程度上发生？该项目将使用遥感和计算机可视化工具来分析气候变化和土地利用之间的相互作用如何在多个相互作用的尺度上影响河流水质：从几分钟到几十年，从小流域到区域流域。拟议的研究将展示这些跨尺度的相互作用如何影响具有多维社会相关性的自然资源：水处理，娱乐，安全，旅游和生态系统健康。这项研究的结果将为美国新兴的数据监测网络提供信息，以确定应在哪些空间和时间尺度上进行水采样，以捕获气候和土地利用的相互作用。项目结果和数据将通过各种方式向公众传播，包括开放获取期刊，公共网站和大学/高中研讨会。该项目将调查的一个基本问题是，气候和土地利用的同时变化是否会导致正反馈和级联事件，导致河流水质发生巨大而广泛的变化。以前的研究无法同时在多个空间和时间尺度上评估气候-土地利用相互作用对河流水质的影响，原因是（1）没有可以同时分析多个维度和时空尺度的工具包;（2）缺乏资源（即，具有精细分辨率的长期和一致的水质数据集）;以及（3）缺乏技术（即，以精细的空间和时间分辨率捕捉土地覆盖变化的能力）。该项目克服了这些局限性，使用（1）一套复杂的可视化工具进行组合分析;（2）世界上最全面和最广泛的水质数据集之一（25年的相应气候数据）;（3）为整个新西兰开发的融合8天时间分辨率和30米空间分辨率土地覆盖数据集。因此，这项研究将是第一次，气候和土地利用变化对一套水质变量的相互作用的影响将同时在多个时空尺度进行评估。此外，复杂的视觉分析工具，同时调查跨多个尺度的景观动态的应用可能是地理和空间科学的新范式的动力。

项目成果

State-shifting at the edge of resilience: River suspended sediment responses to land use change and extreme storms

恢复能力边缘的状态转变：河流悬浮沉积物对土地利用变化和极端风暴的响应

• DOI: 10.1016/j.geomorph.2017.09.004
• 发表时间: 2018
• 期刊: Geomorphology
• 影响因子: 3.9
• 作者: Abbott, Samantha;Julian, Jason P.;Kamarinas, Ioannis;Meitzen, Kimberly M.;Fuller, Ian C.;McColl, Samuel T.;Dymond, John R.
• 通讯作者: Dymond, John R.

River water quality changes in New Zealand over 26 years: response to land use intensity

• DOI: 10.5194/hess-21-1149-2017
• 发表时间: 2017-02-23
• 期刊: HYDROLOGY AND EARTH SYSTEM SCIENCES
• 影响因子: 6.3
• 作者: Julian, Jason P.;de Beurs, Kirsten M.;Ausseil, Anne-Gaelle E.
• 通讯作者: Ausseil, Anne-Gaelle E.

Nonlinear Changes in Land Cover and Sediment Runoff in a New Zealand Catchment Dominated by Plantation Forestry and Livestock Grazing

• DOI: 10.3390/w8100436
• 发表时间: 2016-10-01
• 期刊: WATER
• 影响因子: 3.4
• 作者: Kamarinas, Ioannis;Julian, Jason P.;de Beurs, Kirsten M.
• 通讯作者: de Beurs, Kirsten M.

Disturbance analyses of forests and grasslands with MODIS and Landsat in New Zealand

• DOI: 10.1016/j.jag.2015.10.009
• 发表时间: 2016-03
• 期刊: Int. J. Appl. Earth Obs. Geoinformation
• 作者: K. Beurs;B. Owsley;J. P. Julian