H046 - DNA Informed Hydrology: techniques and applications of genetic data in watershed science.

 Dear colleagues,

Please consider submitting your abstract to our new AGU session: H046 - DNA Informed Hydrology: techniques and applications of genetic data in watershed science. 

We are interested in learning about research directly related to or in support of the use of DNA-related data in hydrologic sciences.   Please see the full abstract below.

We look foward to meeting in December (virtually or in person)!

Kind regards,

Dawn URycki (she/her/hers)

PhD candidate

Water Resources Engineering and Biological and Ecological Engineering

Oregon State University

ury...@oregonstate.edu | 541.737.2041

Let it be acknowledged that Oregon State University in Corvallis, Oregon is located within the traditional homelands of the Ampinefu Band of Kalapuya. Following the Willamette Valley Treaty of 1855, Kalapuya people were forcibly removed to reservations in western Oregon. Today, living descendants of these people are a part of the Confederated Tribes of Grand Ronde Community of Oregon (https://www.grandronde.org) and the Confederated Tribes of the Siletz Indians (http://ctsi.nsn.us).

H046 - DNA Informed Hydrology: techniques and applications of genetic data in watershed science

Despite the wide availability of complex hydrologic observations, our understanding of many hydrologic processes remains incomplete due to the limited amount of information that can be gleaned from traditional data sources. In contrast, naturally-occurringDNAconstitutes a novel type of ecohydrologic observation comprised of many thousands of features reflecting taxonomically and functionally diverse micro-and macro-organisms and processes. As applications of various types of genetic data, including amplicon sequencing and environmental DNA (eDNA) metagenomics and multiomics, gain traction across research disciplines, the utility of these data in hydrologic studies is just beginning to be investigated. This session will focus on DNA informed hydrology and explore the ways in which genetic data can be leveraged to contribute to hydrologic knowledge, either by complementing existing methods or with new and innovative approaches.