A multi-scale approach for predicting river temperatures and habitats

预测河流温度和栖息地的多尺度方法

• 批准号: 184846-2011
• 负责人: Curry, RanaldAllen
• 金额: $ 2.04万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507708
• 关键词: multi; scale; approach; predicting; river

The pioneers of river sciences identified the complex interconnectedness of rivers, their valleys, and the plants and animals that make up these ecosystems. They predicted the future challenges for science and in particular, understanding the impacts of human activities on landscapes and consequences for rivers. Over the years, we studied rivers at small scales, but with the creation of geographical-information-systems, GIS, the computational ability exists to handle and analyze an overwhelming amount of landscape scale information generated from remote sensing via satellites and air craft. This has allowed us to begin to incorporate more complexity into studies of river ecosystems because we can expand the scale from sites to reaches to catchments to landscapes.

河流科学的先驱们发现了河流、河谷以及构成这些生态系统的动植物之间复杂的相互联系。 他们预测了未来科学面临的挑战，特别是了解人类活动对景观的影响和对河流的影响。 多年来，我们在小尺度上研究河流，但随着地理信息系统（GIS）的建立，计算能力已经可以处理和分析通过卫星和航空器遥感产生的大量景观尺度信息。 这使我们开始将更多的复杂性纳入河流生态系统的研究，因为我们可以扩大规模，从网站到达到集水区景观。