Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment
Abstract The importance of conceptualizing the dynamics of storage‐driven saturation area connectivity in runoff generation has been central to the development of TOPMODEL and similar low parameterized rainfall–runoff models. In this contribution, we show how we developed a 40‐year hydrometric data...
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crwiley:10.1002/hyp.10862 2024-06-02T08:03:42+00:00 Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment Soulsby, C. Birkel, C. Tetzlaff, D. NERC/JPI SIWA 2016 http://dx.doi.org/10.1002/hyp.10862 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.10862 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.10862 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/hyp.10862 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Hydrological Processes volume 30, issue 14, page 2482-2497 ISSN 0885-6087 1099-1085 journal-article 2016 crwiley https://doi.org/10.1002/hyp.10862 2024-05-03T11:19:58Z Abstract The importance of conceptualizing the dynamics of storage‐driven saturation area connectivity in runoff generation has been central to the development of TOPMODEL and similar low parameterized rainfall–runoff models. In this contribution, we show how we developed a 40‐year hydrometric data base to simulate storage–discharge relationships in the Girnock catchment in the Scottish Highlands using a simple conceptual model. The catchment is a unique fisheries reference site where Atlantic salmon populations have been monitored since 1966. The modelling allowed us to track storage dynamics in hillslopes, the riparian zone and groundwater, and explicitly link non‐linear changes of streamflows to landscape storage and connectivity dynamics. This provides a fundamental basis for understanding how the landscape and riverscape are hydrologically connected and how this regulates in‐stream hydraulic conditions that directly influence salmonids. We use the model to simulate storage and discharge dynamics over the 40‐year period of fisheries records. The modelled storage‐driven connectivity provides an ecohydological context for understanding the dynamics in stream flow generation which determine habitat hydraulics for different life stages of salmon population. This new, long‐term modelling now sets this variability in the riverscape in a more fundamental context of the inter‐relationships between storage in the landscape and stream flow generation. This provides a simple, robust framework for future ecohydrological modelling at this site, which is an alternative to more increasingly popular but highly parameterized and uncertain commercial ecohydrological models. It also provides a wider, novel context that is a prerequisite for any model‐based scenario assessment of likely impacts resulting from climate or land use change. Copyright © 2016 The Authors Hydrological Processes Published by John Wiley & Sons Ltd. Copyright © 2016 The Authors Hydrological Processes Published by John Wiley & Sons Ltd. Article in Journal/Newspaper Atlantic salmon Wiley Online Library Hydrological Processes 30 14 2482 2497 |
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Wiley Online Library |
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English |
description |
Abstract The importance of conceptualizing the dynamics of storage‐driven saturation area connectivity in runoff generation has been central to the development of TOPMODEL and similar low parameterized rainfall–runoff models. In this contribution, we show how we developed a 40‐year hydrometric data base to simulate storage–discharge relationships in the Girnock catchment in the Scottish Highlands using a simple conceptual model. The catchment is a unique fisheries reference site where Atlantic salmon populations have been monitored since 1966. The modelling allowed us to track storage dynamics in hillslopes, the riparian zone and groundwater, and explicitly link non‐linear changes of streamflows to landscape storage and connectivity dynamics. This provides a fundamental basis for understanding how the landscape and riverscape are hydrologically connected and how this regulates in‐stream hydraulic conditions that directly influence salmonids. We use the model to simulate storage and discharge dynamics over the 40‐year period of fisheries records. The modelled storage‐driven connectivity provides an ecohydological context for understanding the dynamics in stream flow generation which determine habitat hydraulics for different life stages of salmon population. This new, long‐term modelling now sets this variability in the riverscape in a more fundamental context of the inter‐relationships between storage in the landscape and stream flow generation. This provides a simple, robust framework for future ecohydrological modelling at this site, which is an alternative to more increasingly popular but highly parameterized and uncertain commercial ecohydrological models. It also provides a wider, novel context that is a prerequisite for any model‐based scenario assessment of likely impacts resulting from climate or land use change. Copyright © 2016 The Authors Hydrological Processes Published by John Wiley & Sons Ltd. Copyright © 2016 The Authors Hydrological Processes Published by John Wiley & Sons Ltd. |
author2 |
NERC/JPI SIWA |
format |
Article in Journal/Newspaper |
author |
Soulsby, C. Birkel, C. Tetzlaff, D. |
spellingShingle |
Soulsby, C. Birkel, C. Tetzlaff, D. Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
author_facet |
Soulsby, C. Birkel, C. Tetzlaff, D. |
author_sort |
Soulsby, C. |
title |
Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
title_short |
Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
title_full |
Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
title_fullStr |
Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
title_full_unstemmed |
Modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
title_sort |
modelling storage‐driven connectivity between landscapes and riverscapes: towards a simple framework for long‐term ecohydrological assessment |
publisher |
Wiley |
publishDate |
2016 |
url |
http://dx.doi.org/10.1002/hyp.10862 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.10862 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.10862 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/hyp.10862 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
Hydrological Processes volume 30, issue 14, page 2482-2497 ISSN 0885-6087 1099-1085 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/hyp.10862 |
container_title |
Hydrological Processes |
container_volume |
30 |
container_issue |
14 |
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2482 |
op_container_end_page |
2497 |
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1800748311815127040 |