Workshop: Connecting Alaska Native Communities and U.S. Northwest Coastal Tribes to the Yakut and Evenk Peoples of the Sakha Republic through WIN.

该奖项将支持一系列研讨会，重点关注将美国西北沿海部落和阿拉斯加原住民社区的水原住民网络 (WIN) 与居住在俄罗斯萨哈共和国勒拿河沿岸的雅库特人和埃文克人联系起来。 勒拿河是世界第 11 长河流，拥有第 9 大流域，为北冰洋提供淡水。 WIN 科学家正在创建一个计划，通过该计划，当地人可以全年监测全球流域，而实地科学家则无法做到这一点，因为大多数人只能在夏季访问他们的研究地点几周。 WIN 将培训当地人科学方法来监测勒拿河流域的健康和生产。当地监测将提供世界上最大流域之一的数据；对于了解北冰洋生态系统及其变化至关重要的信息。 WIN 将与俄勒冈健康与科学大学沿海边缘观测与预测科学技术中心 (CMOP) 和伍兹霍尔研究中心的科学家合作，利用这一奖项，在雅库特人和埃文克人之间组织研讨会，将科学家和土著社区聚集在一起，探讨影响世界河流沿岸土著人民知识和文化的问题。 讲习班将包括流域地理信息系统测绘、数字数据库建设和归档、视频记录、照片记录、水质采样协议和技术以及传统知识故事讲述和记录等方面的培训。 这些研讨会还将让 WIN 团队有机会与当地和地区领导人以及政府代表会面，以获得他们对当地参与网络活动的支持。

This award will support a series of workshops focused on connecting the Water Indigenous Network (WIN) of the US North West Coastal Tribes and Alaska Native communities with the Yakut and Evenk Peoples who reside in the Sakha Republic of Russia along the Lena River. The Lena River is the 11th longest river in the world, has the 9th largest watershed, and provides fresh water to the Arctic Ocean. WIN scientists are creating a program by which global watersheds can be monitored year round by local people, something not possible by field scientists because most can only visit their research sites in the summer season for a few weeks. WIN will train local people in scientific methodologies for monitoring the health and production of the Lena River Watershed. Local monitoring will provide data on one of the world?s largest watersheds; information critical to understanding the Arctic Ocean ecosystem and how it is changing. In collaboration with scientists from Oregon Health and Science Universities Science and Technology Center for Coastal Margin Observation and Prediction (CMOP) and the Woods Hole Research Center, with this award WIN will organize workshops among the Yakut and Evenk Peoples to bring scientists and indigenous communities together to explore issues that affect indigenous people?s knowledge and culture along the world?s rivers. The workshops will include training in GIS Mapping of watersheds, digital database construction and archiving, video documentation, photo documentation, water quality sampling protocols and techniques, and traditional knowledge story telling and documentation. The workshops will also give the WIN team the opportunity to meet with local and regional leaders and government representatives to gain their support for local participation in network activities.