课题基金 / 基金详情

Global Observatory of Lake Responses to Environmental Change (GloboLakes)

Global Observatory of Lake Responses to Environmental Change (GloboLakes)
全球湖泊对环境变化反应的观测站 (GloboLakes)
批准号:
NE/J021717/1
负责人:
Stephen Maberly
金额:
$48.24万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2012
资助国家:
英国
项目状态:
已结题
起止时间:
2012 至 --

项目摘要

项目成果

Stephen Maberly的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
There are around 304 million lakes globally. These provide essential resources for human survival and are an important component of global biogeochemical cycles. Lakes are also fragile systems that are sensitive to multiple pressures including nutrient enrichment, climate change and hydrological modification, making them important 'sentinels' of environmental perturbation. However, traditional monitoring has only produced data from a tiny fraction of the global population of lakes and disentangling the causes of change requires consistently-produced data from a large number of lakes, along with measurements of possible causes of change. Satellite observations (remote sensing) and the establishment of a global lake observatory would produce a step-change in our ability to detect and attribute the causes of changes in lakes world-wide. This is now possible for three reasons: (1) the improved wavebands, spatial resolution and frequency of data collection from satellite sensors is now sufficient to monitor inland waters; (2) formulae to correct for atmospheric properties and to convert the detected reflected light to useful lake properties have been developed; and (3) computing power has increased to the point that allows near real time and archived information from satellites to be processed. GloboLakes will analyse 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This is an ambitious project that is only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions. The eight objectives of GloboLakes are to:(i) develop remote sensing algorithms to estimate lake biogeochemical and physical parameters;(ii) make these algorithms operational and process satellite data;(iii) compile integrated spatio-temporal information on climatic and catchment data for >1000 lakes;(iv) integrate data and assess uncertainty in data sources;(v) detect spatial and temporal patterns in lake water quality;(vi) attribute the causes of lake response to environmental conditions;(vii) forecast lake sensitivity to environmental change;(viii) apply data to lake management and the monitoring of freshwater resources.The project will focus on the retrieval of surface water temperature as this has a fundamental effect on lake ecology, the concentration of coloured dissolved organic matter and suspended solids that derive largely from the catchment, the abundance of phytoplankton measured as the concentration of the pigment, chlorophyll a, and the abundance of cyanobacteria (blue-green algae) that can potentially be toxic. Knowledge of the conditions of lakes and their sensitivity to change is also extremely valuable for the management of lakes and reservoirs and GloboLakes will provide information and products specifically for environmental managers. A satellite due to be launched during the course of the project, called Sentinel 2, will provide even greater spatial resolution allowing data to be collected and exploited from even smaller lakes. This will be investigated by GloboLakes and incorporated into the framework of a global lake observatory.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data
利用卫星遥感数据进行自适应平滑识别全球湖泊生态过程的空间结构
DOI: 10.1016/j.spasta.2022.100615
发表时间: 2022
期刊: Spatial Statistics
影响因子: 2.3
作者: [Gong M]
通讯作者: Gong M
DOI: 10.1038/s41597-022-01889-z
发表时间: 2023-01-14
期刊: SCIENTIFIC DATA
影响因子: 9.8
作者: [Carrea, Laura, Cretaux, Jean-Francois, Liu, Xiaohan, Wu, Yuhao, Calmettes, Beatriz, Duguay, Claude R., Merchant, Christopher J., Selmes, Nick, Simis, Stefan G. H., Warren, Mark, Yesou, Herve, Mueller, Dagmar, Jiang, Dalin, Embury, Owen, Berge-Nguyen, Muriel, Albergel, Clement]
通讯作者: Albergel, Clement
Hydroscape:connectivity x stressor interactions in freshwater habitats
  • 批准号:
    NE/N00597X/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $6.02万
  • 财政年份:
    2019
  • 负责人:
    Stephen Maberly
  • 依托单位:
Hydroscape:connectivity x stressor interactions in freshwater habitats
  • 批准号:
    NE/N00597X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $95.21万
  • 财政年份:
    2015
  • 负责人:
    Stephen Maberly
  • 依托单位:
Characterisation of the nature, origins and ecological significance of dissolved organic matter in freshwater ecosystems
  • 批准号:
    NE/K010603/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $39.82万
  • 财政年份:
    2014
  • 负责人:
    Stephen Maberly
  • 依托单位:
Whole lake responses to species invasion mediated by climate change
  • 批准号:
    NE/H000208/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $41.18万
  • 财政年份:
    2009
  • 负责人:
    Stephen Maberly
  • 依托单位:
海外基金