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Historical watershed stressors for the Laurentian Great Lakes

This report provides a detailed set of historical stressor data for 60 watersheds comprising the Laurentian Great Lakes basin. Archival records were transcribed from public records to create quantitative data on human activities: population, mining, deforestation, and agriculture. Yearly records of...

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Detalles Bibliográficos
Autores principales: Reavie, Euan D., Cai, Meijun, Brown, Terry N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220797/
https://www.ncbi.nlm.nih.gov/pubmed/30443346
http://dx.doi.org/10.1002/gdj3.53
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author Reavie, Euan D.
Cai, Meijun
Brown, Terry N.
author_facet Reavie, Euan D.
Cai, Meijun
Brown, Terry N.
author_sort Reavie, Euan D.
collection PubMed
description This report provides a detailed set of historical stressor data for 60 watersheds comprising the Laurentian Great Lakes basin. Archival records were transcribed from public records to create quantitative data on human activities: population, mining, deforestation, and agriculture. Yearly records of stressors are provided from 1780 through 2010. These data may be used to track historical impacts on Great Lakes coastal and open water conditions. They may further be used to examine corresponding effects on response variables such as biological communities quantified during monitoring and palaeoecological programmes. OPEN PRACTICES: [Image: see text] This article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.1594/PANGAEA.885879. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.
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spelling pubmed-62207972018-11-13 Historical watershed stressors for the Laurentian Great Lakes Reavie, Euan D. Cai, Meijun Brown, Terry N. Geosci Data J Data Papers This report provides a detailed set of historical stressor data for 60 watersheds comprising the Laurentian Great Lakes basin. Archival records were transcribed from public records to create quantitative data on human activities: population, mining, deforestation, and agriculture. Yearly records of stressors are provided from 1780 through 2010. These data may be used to track historical impacts on Great Lakes coastal and open water conditions. They may further be used to examine corresponding effects on response variables such as biological communities quantified during monitoring and palaeoecological programmes. OPEN PRACTICES: [Image: see text] This article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.1594/PANGAEA.885879. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki. John Wiley and Sons Inc. 2018-10-29 2018-06 /pmc/articles/PMC6220797/ /pubmed/30443346 http://dx.doi.org/10.1002/gdj3.53 Text en © 2018 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Papers
Reavie, Euan D.
Cai, Meijun
Brown, Terry N.
Historical watershed stressors for the Laurentian Great Lakes
title Historical watershed stressors for the Laurentian Great Lakes
title_full Historical watershed stressors for the Laurentian Great Lakes
title_fullStr Historical watershed stressors for the Laurentian Great Lakes
title_full_unstemmed Historical watershed stressors for the Laurentian Great Lakes
title_short Historical watershed stressors for the Laurentian Great Lakes
title_sort historical watershed stressors for the laurentian great lakes
topic Data Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220797/
https://www.ncbi.nlm.nih.gov/pubmed/30443346
http://dx.doi.org/10.1002/gdj3.53
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