M
Martin E. Gurtz
Researcher at United States Geological Survey
Publications - 18
Citations - 3254
Martin E. Gurtz is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Water quality & Drainage basin. The author has an hindex of 13, co-authored 18 publications receiving 3174 citations.
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Journal ArticleDOI
The role of disturbance in stream ecology.
Vincent H. Resh,Arthur V. Brown,Alan P. Covich,Martin E. Gurtz,Hiram W. Li,G. Wayne Minshall,Seth R. Reice,Andrew L. Sheldon,J. Bruce Wallace,Robert C. Wissmar +9 more
TL;DR: In this paper, the authors define disturbance in stream ecosystems to be: any relatively discrete event in time that is characterized by a frequency, intensity, and severity outside a predictable range, and that disrupts ecosystem, community, or population structure and changes resources or the physical environment.
OtherDOI
Design of the National Water-Quality Assessment Program; occurrence and distribution of water-quality conditions
TL;DR: The National Water Quality Assessment Program of the U.S. Geological Survey is designed to assess the status of and trends in the quality of the Nation's ground and surface water resources and to link the status and trends with an understanding of the natural and human factors that affect quality of water as mentioned in this paper.
ReportDOI
Revised Methods for Characterizing Stream Habitat in the National Water-Quality Assessment Program
Faith A. Fitzpatrick,Ian R. Waite,Patricia J. D'Arconte,Michael R. Meador,Molly A. Maupin,Martin E. Gurtz +5 more
TL;DR: Gilliom et al. as mentioned in this paper developed a spatially hierarchical framework that incorporates habitat data at basin, segment, reach, and microhabitat scales for stream habitat characterization.
OtherDOI
Methods for collecting benthic invertebrate samples as part of the National Water-Quality Assessment Program
TL;DR: This approach provides guidance on site, reach, and habitat selection and methods and equipment for qualitative multihabitat sampling and semi-quantitative single habitat sampling and Appropriate quality-assurance and quality-control guidelines are used to maximize the ability to analyze data within and among study units.