Replication Data for: Forest management impacts on stream integrity at varying intensities and spatial scales: do effects accumulate spatially?

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Description:
Catchment explanatory variables (harvest intensity, roads, forest structure/composition, slope...) and abiotic (sediment deposition, water temperature, water chemistry, dissolved organic matter quality) and biotic (leaf decomposition, biofilm, macroinvertebrates, sculpin) indicators of stream condition measured in six sites along the river network within three basins ranging in forest management intensity (intensive, extensive, minimal) in New Brunswick in 2017 and 2018.
Author(s):
Erdozain, Maitane

Erdozain, Maitane

University of New Brunswick
0000-0002-4078-0131
, Kidd, Karen

Kidd, Karen

McMaster University
, Emilson, Erik

Emilson, Erik

Canadian Forest Service
0000-0002-1516-9728
, Capell, Scott

Capell, Scott

Canadian Forest Service
, Luu, Taylor

Luu, Taylor

McMaster University
, Kreutzweiser, Dave

Kreutzweiser, Dave

Canadian Forest Service
, and Gray, Michelle

Gray, Michelle

University of New Brunswick
0000-0002-0073-7366
Contributor(s):
Capell, Scott, Luu, Taylor, McKee, Graydon, Emilson, Erik, Kreutzweiser, Dave, Kidd, Karen, and Erdozain, Maitane
Source Repository:
McMaster University Dataverse
Series:
Forest management impacts on stream integrity at varying intensities and spatial scales: do effects accumulate spatially?
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP2/B2URHU
Publication date:
2020-08-21
Subjects:
Earth and Environmental Sciences
Keywords:
temperature, algae, sediment, stream, water chemistry, biotic, abiotic, leaf decomposition, biofilm, Dissolved Organic Material, macroinvertebrates, and sculpin
Identifier:
https://doi.org/10.5683/SP2/B2URHU

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Citation

APA Citation:
Erdozain, M., Kidd, K., Emilson, E., Capell, S., Luu, T., Kreutzweiser, D., & Gray, M. (2020). Replication Data for: Forest management impacts on stream integrity at varying intensities and spatial scales: do effects accumulate spatially? [Data set]. McMaster University Dataverse. https://doi.org/10.5683/SP2/B2URHU
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