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Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate

From a policy perspective, it is important to understand forestry effects on surface waters from a landscape perspective. The EU Water Framework Directive demands remedial actions if not achieving good ecological status. In Sweden, 44 % of the surface water bodies have moderate ecological status or...

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Autores principales: Löfgren, Stefan, Fröberg, Mats, Yu, Jun, Nisell, Jakob, Ranneby, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210647/
https://www.ncbi.nlm.nih.gov/pubmed/25260924
http://dx.doi.org/10.1007/s10661-014-4054-5
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author Löfgren, Stefan
Fröberg, Mats
Yu, Jun
Nisell, Jakob
Ranneby, Bo
author_facet Löfgren, Stefan
Fröberg, Mats
Yu, Jun
Nisell, Jakob
Ranneby, Bo
author_sort Löfgren, Stefan
collection PubMed
description From a policy perspective, it is important to understand forestry effects on surface waters from a landscape perspective. The EU Water Framework Directive demands remedial actions if not achieving good ecological status. In Sweden, 44 % of the surface water bodies have moderate ecological status or worse. Many of these drain catchments with a mosaic of managed forests. It is important for the forestry sector and water authorities to be able to identify where, in the forested landscape, special precautions are necessary. The aim of this study was to quantify the relations between forestry parameters and headwater stream concentrations of nutrients, organic matter and acid-base chemistry. The results are put into the context of regional climate, sulphur and nitrogen deposition, as well as marine influences. Water chemistry was measured in 179 randomly selected headwater streams from two regions in southwest and central Sweden, corresponding to 10 % of the Swedish land area. Forest status was determined from satellite images and Swedish National Forest Inventory data using the probabilistic classifier method, which was used to model stream water chemistry with Bayesian model averaging. The results indicate that concentrations of e.g. nitrogen, phosphorus and organic matter are related to factors associated with forest production but that it is not forestry per se that causes the excess losses. Instead, factors simultaneously affecting forest production and stream water chemistry, such as climate, extensive soil pools and nitrogen deposition, are the most likely candidates The relationships with clear-felled and wetland areas are likely to be direct effects.
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spelling pubmed-42106472014-10-31 Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate Löfgren, Stefan Fröberg, Mats Yu, Jun Nisell, Jakob Ranneby, Bo Environ Monit Assess Article From a policy perspective, it is important to understand forestry effects on surface waters from a landscape perspective. The EU Water Framework Directive demands remedial actions if not achieving good ecological status. In Sweden, 44 % of the surface water bodies have moderate ecological status or worse. Many of these drain catchments with a mosaic of managed forests. It is important for the forestry sector and water authorities to be able to identify where, in the forested landscape, special precautions are necessary. The aim of this study was to quantify the relations between forestry parameters and headwater stream concentrations of nutrients, organic matter and acid-base chemistry. The results are put into the context of regional climate, sulphur and nitrogen deposition, as well as marine influences. Water chemistry was measured in 179 randomly selected headwater streams from two regions in southwest and central Sweden, corresponding to 10 % of the Swedish land area. Forest status was determined from satellite images and Swedish National Forest Inventory data using the probabilistic classifier method, which was used to model stream water chemistry with Bayesian model averaging. The results indicate that concentrations of e.g. nitrogen, phosphorus and organic matter are related to factors associated with forest production but that it is not forestry per se that causes the excess losses. Instead, factors simultaneously affecting forest production and stream water chemistry, such as climate, extensive soil pools and nitrogen deposition, are the most likely candidates The relationships with clear-felled and wetland areas are likely to be direct effects. Springer International Publishing 2014-09-27 2014 /pmc/articles/PMC4210647/ /pubmed/25260924 http://dx.doi.org/10.1007/s10661-014-4054-5 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Löfgren, Stefan
Fröberg, Mats
Yu, Jun
Nisell, Jakob
Ranneby, Bo
Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate
title Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate
title_full Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate
title_fullStr Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate
title_full_unstemmed Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate
title_short Water chemistry in 179 randomly selected Swedish headwater streams related to forest production, clear-felling and climate
title_sort water chemistry in 179 randomly selected swedish headwater streams related to forest production, clear-felling and climate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210647/
https://www.ncbi.nlm.nih.gov/pubmed/25260924
http://dx.doi.org/10.1007/s10661-014-4054-5
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