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Sarah E. Gergel
Researcher at University of British Columbia
Publications - 101
Citations - 6752
Sarah E. Gergel is an academic researcher from University of British Columbia. The author has contributed to research in topics: Land cover & Landscape ecology. The author has an hindex of 33, co-authored 94 publications receiving 5895 citations. Previous affiliations of Sarah E. Gergel include University of Wisconsin-Madison & University of California, Santa Barbara.
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Journal ArticleDOI
Biogeochemical Hot Spots and Hot Moments at the Interface of Terrestrial and Aquatic Ecosystems
Michael E. McClain,Elizabeth W. Boyer,C. Lisa Dent,Sarah E. Gergel,Nancy B. Grimm,Peter M. Groffman,Stephen C. Hart,Judson W. Harvey,Carol A. Johnston,Emilio Mayorga,William H. McDowell,Gilles Pinay +11 more
TL;DR: In this paper, the authors define biogeochemical hot spots as patches that show disproportionately high reaction rates relative to the surrounding matrix, whereas hot moments occur when episodic hydrological flowpaths reactivate and/or mobilize accumulated reactants.
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Landscape indicators of human impacts to riverine systems
TL;DR: A review of chemical, biotic, hydrologic and physical habitat assessment approaches commonly used in riverine systems can be found in this paper, where the authors discuss how landscape indicators can be used to assess the status of rivers.
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Dissolved organic carbon as an indicator of the scale of watershed influence on lakes and rivers
TL;DR: The authors quantifies the extent of the landscape influence using the proportion of wetlands in the watershed measured at different distances to predict dissolved organic carbon (DOC) concentrations in Wisconsin lakes and rivers, and de-termine whether the watershed influence varies with season or hydrologic type of lake.
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Aerial Photography: A Rapidly Evolving Tool for Ecological Management
TL;DR: The benefits and challenges of using aerial photographs for ecological management are discussed, the eight fundamental characteristics used in photograph interpretation are examined, and the feasibility of digital-analysis methods for providing more objective, consistent, and cost-effective results are investigated.
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Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification
TL;DR: In this article, a high-resolution QuickBird image, captured in June 2005, and coincident field data covering the riparian area of Lost Shoe Creek and adjacent forests on Vancouver Island, British Columbia, was used in this analysis.