Environmental conditions of boreal springs explained by capture zone characteristics

Pekka M. Rossi, Hannu Marttila, Jussi Jyvasjarvi, Pertti Otto Antero Ala-Aho, Elina Isokangas, Timo Muotka, Bjorn Klove

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Springs are unique ecosystems, but in many cases they are severely threatened and there is an urgent need for better spring management and conservation. To this end, we studied water quality and quantity in springs in Oulanka National Park, north-east Finland. Multivariate statistical methods were employed to relate spring water quality and quantity to hydrogeology and land use of the spring capture zone. This revealed that most springs studied were affected by locally atypical dolostone-limestone bedrock, resulting in high calcium, pH, and alkalinity values. Using Ward's hierarchical clustering, the springs were grouped into four clusters based on their water chemistry. One cluster consisted of springs affected by past small-scale agriculture, whereas other clusters were affected by the variable bedrock, e.g., springs only 1 km from the dolostone-limestone bedrock area were beyond its calcium-rich impact zone. According to a random forest model, the best predictors of spring water chemistry were spring altitude and the stable hydrogen isotope ratio of the water (delta H-2). Thus stable water isotopes could be widely applicable for boreal spring management. They may also provide a rough estimate of groundwater flow route (i.e., whether it is mainly local or regional), which largely determines the chemical characteristics of spring water. Our approach could be applied in other boreal regions and at larger spatial scales for improved classification of springs and for better targeted spring management. (C) 2015 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)992-1002
Number of pages11
JournalJournal of Hydrology
Volume531
Issue number3
Early online date14 Nov 2015
DOIs
Publication statusPublished - Dec 2015

Keywords

  • Groundwater dependent ecosystems
  • Water chemistry
  • Stable isotopes of water
  • Multivariate statistical methods
  • Spring management
  • Karstic Springs
  • Random Forests
  • Groundwater
  • Water
  • Habitats
  • Conservation
  • Chemistry
  • Bryophyte
  • Ecology
  • Finland

Cite this

Rossi, P. M., Marttila, H., Jyvasjarvi, J., Ala-Aho, P. O. A., Isokangas, E., Muotka, T., & Klove, B. (2015). Environmental conditions of boreal springs explained by capture zone characteristics. Journal of Hydrology, 531(3), 992-1002. https://doi.org/10.1016/j.jhydrol.2015.11.009

Environmental conditions of boreal springs explained by capture zone characteristics. / Rossi, Pekka M.; Marttila, Hannu; Jyvasjarvi, Jussi; Ala-Aho, Pertti Otto Antero; Isokangas, Elina; Muotka, Timo; Klove, Bjorn.

In: Journal of Hydrology, Vol. 531, No. 3, 12.2015, p. 992-1002.

Research output: Contribution to journalArticle

Rossi, PM, Marttila, H, Jyvasjarvi, J, Ala-Aho, POA, Isokangas, E, Muotka, T & Klove, B 2015, 'Environmental conditions of boreal springs explained by capture zone characteristics' Journal of Hydrology, vol. 531, no. 3, pp. 992-1002. https://doi.org/10.1016/j.jhydrol.2015.11.009
Rossi PM, Marttila H, Jyvasjarvi J, Ala-Aho POA, Isokangas E, Muotka T et al. Environmental conditions of boreal springs explained by capture zone characteristics. Journal of Hydrology. 2015 Dec;531(3):992-1002. https://doi.org/10.1016/j.jhydrol.2015.11.009
Rossi, Pekka M. ; Marttila, Hannu ; Jyvasjarvi, Jussi ; Ala-Aho, Pertti Otto Antero ; Isokangas, Elina ; Muotka, Timo ; Klove, Bjorn. / Environmental conditions of boreal springs explained by capture zone characteristics. In: Journal of Hydrology. 2015 ; Vol. 531, No. 3. pp. 992-1002.
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title = "Environmental conditions of boreal springs explained by capture zone characteristics",
abstract = "Springs are unique ecosystems, but in many cases they are severely threatened and there is an urgent need for better spring management and conservation. To this end, we studied water quality and quantity in springs in Oulanka National Park, north-east Finland. Multivariate statistical methods were employed to relate spring water quality and quantity to hydrogeology and land use of the spring capture zone. This revealed that most springs studied were affected by locally atypical dolostone-limestone bedrock, resulting in high calcium, pH, and alkalinity values. Using Ward's hierarchical clustering, the springs were grouped into four clusters based on their water chemistry. One cluster consisted of springs affected by past small-scale agriculture, whereas other clusters were affected by the variable bedrock, e.g., springs only 1 km from the dolostone-limestone bedrock area were beyond its calcium-rich impact zone. According to a random forest model, the best predictors of spring water chemistry were spring altitude and the stable hydrogen isotope ratio of the water (delta H-2). Thus stable water isotopes could be widely applicable for boreal spring management. They may also provide a rough estimate of groundwater flow route (i.e., whether it is mainly local or regional), which largely determines the chemical characteristics of spring water. Our approach could be applied in other boreal regions and at larger spatial scales for improved classification of springs and for better targeted spring management. (C) 2015 Elsevier B.V. All rights reserved.",
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note = "Acknowledgments This study was funded by the Academy of Finland AKVA program (project numbers 128377 and 263601) and the University of Oulu (Thule Institute). We acknowledge the help of staff at Oulanka Research Station for logistical help. We also appreciate the thorough and constructive comments by four anonymous reviewers on a previous version of our manuscript.",
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AU - Ala-Aho, Pertti Otto Antero

AU - Isokangas, Elina

AU - Muotka, Timo

AU - Klove, Bjorn

N1 - Acknowledgments This study was funded by the Academy of Finland AKVA program (project numbers 128377 and 263601) and the University of Oulu (Thule Institute). We acknowledge the help of staff at Oulanka Research Station for logistical help. We also appreciate the thorough and constructive comments by four anonymous reviewers on a previous version of our manuscript.

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N2 - Springs are unique ecosystems, but in many cases they are severely threatened and there is an urgent need for better spring management and conservation. To this end, we studied water quality and quantity in springs in Oulanka National Park, north-east Finland. Multivariate statistical methods were employed to relate spring water quality and quantity to hydrogeology and land use of the spring capture zone. This revealed that most springs studied were affected by locally atypical dolostone-limestone bedrock, resulting in high calcium, pH, and alkalinity values. Using Ward's hierarchical clustering, the springs were grouped into four clusters based on their water chemistry. One cluster consisted of springs affected by past small-scale agriculture, whereas other clusters were affected by the variable bedrock, e.g., springs only 1 km from the dolostone-limestone bedrock area were beyond its calcium-rich impact zone. According to a random forest model, the best predictors of spring water chemistry were spring altitude and the stable hydrogen isotope ratio of the water (delta H-2). Thus stable water isotopes could be widely applicable for boreal spring management. They may also provide a rough estimate of groundwater flow route (i.e., whether it is mainly local or regional), which largely determines the chemical characteristics of spring water. Our approach could be applied in other boreal regions and at larger spatial scales for improved classification of springs and for better targeted spring management. (C) 2015 Elsevier B.V. All rights reserved.

AB - Springs are unique ecosystems, but in many cases they are severely threatened and there is an urgent need for better spring management and conservation. To this end, we studied water quality and quantity in springs in Oulanka National Park, north-east Finland. Multivariate statistical methods were employed to relate spring water quality and quantity to hydrogeology and land use of the spring capture zone. This revealed that most springs studied were affected by locally atypical dolostone-limestone bedrock, resulting in high calcium, pH, and alkalinity values. Using Ward's hierarchical clustering, the springs were grouped into four clusters based on their water chemistry. One cluster consisted of springs affected by past small-scale agriculture, whereas other clusters were affected by the variable bedrock, e.g., springs only 1 km from the dolostone-limestone bedrock area were beyond its calcium-rich impact zone. According to a random forest model, the best predictors of spring water chemistry were spring altitude and the stable hydrogen isotope ratio of the water (delta H-2). Thus stable water isotopes could be widely applicable for boreal spring management. They may also provide a rough estimate of groundwater flow route (i.e., whether it is mainly local or regional), which largely determines the chemical characteristics of spring water. Our approach could be applied in other boreal regions and at larger spatial scales for improved classification of springs and for better targeted spring management. (C) 2015 Elsevier B.V. All rights reserved.

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KW - Karstic Springs

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KW - Groundwater

KW - Water

KW - Habitats

KW - Conservation

KW - Chemistry

KW - Bryophyte

KW - Ecology

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JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

IS - 3

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