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Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance

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Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance. / Reaney, Sim M.; Lane, Stuart N. ; Heathwaite, A. Louise et al.
In: Ecological Modelling, Vol. 222, No. 4, 24.02.2011, p. 1016-1029.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Reaney SM, Lane SN, Heathwaite AL, Dugdale LJ. Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance. Ecological Modelling. 2011 Feb 24;222(4):1016-1029. doi: 10.1016/j.ecolmodel.2010.08.022

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Reaney, Sim M. ; Lane, Stuart N. ; Heathwaite, A. Louise et al. / Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance. In: Ecological Modelling. 2011 ; Vol. 222, No. 4. pp. 1016-1029.

Bibtex

@article{072bb94860ae451b81723603c152645f,
title = "Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance",
abstract = "Research has demonstrated that landscape or watershed scale processes can influence instream aquatic ecosystems, in terms of the impacts of delivery of fine sediment, solutes and organic matter. Testing such impacts upon populations of organisms (i.e. at the catchment scale) has not proven straightforward and differences have emerged in the conclusions reached. This is: (1) partly because different studies have focused upon different scales of enquiry; but also (2) because the emphasis upon upstream land cover has rarely addressed the extent to which such land covers are hydrologically connected, and hence able to deliver diffuse pollution, to the drainage network However, there is a third issue. In order to develop suitable hydrological models, we need to conceptualise the process cascade. To do this, we need to know what matters to the organism being impacted by the hydrological system, such that we can identify which processes need to be modelled. Acquiring such knowledge is not easy, especially for organisms like fish that might occupy very different locations in the river over relatively short periods of time. However, and inevitably, hydrological modellers have started by building up piecemeal the aspects of the problem that we think matter to fish. Herein, we report two developments: (a) for the case of sediment associated diffuse pollution from agriculture, a risk-based modelling framework, SCIMAP, has been developed, which is distinct because it has an explicit focus upon hydrological connectivity; and (b) we use spatially distributed ecological data to infer the processes and the associated process parameters that matter to salmonid fry. We apply the model to spatially distributed salmon and fry data from the River Eden, Cumbria, England. The analysis shows, quite surprisingly, that arable land covers are relatively unimportant as drivers of fry abundance. What matters most is intensive pasture, a land cover that could be associated with a number of stressors on salmonid fry (e.g. pesticides, fine sediment) and which allows us to identify a series of risky field locations, where this land cover is readily connected to the river system by overland flow. (C) 2010 Elsevier B.V. All rights reserved.",
keywords = "Diffuse pollution, Hydrological connectivity, Land cover, Salmonids, Fine sediment, Risk, ATLANTIC SALMON, WATER-QUALITY, AGRICULTURAL LAND, BIOTIC INTEGRITY, BUFFER ZONES, AQUATIC ECOSYSTEMS, STREAM ECOSYSTEMS, CATCHMENT-SCALE, SPECIES TRAITS, POLLUTION",
author = "Reaney, {Sim M.} and Lane, {Stuart N.} and Heathwaite, {A. Louise} and Dugdale, {Lucy J.}",
year = "2011",
month = feb,
day = "24",
doi = "10.1016/j.ecolmodel.2010.08.022",
language = "English",
volume = "222",
pages = "1016--1029",
journal = "Ecological Modelling",
issn = "0304-3800",
publisher = "Elsevier",
number = "4",

}

RIS

TY - JOUR

T1 - Risk-based modelling of diffuse land use impacts from rural landscapes upon salmonid fry abundance

AU - Reaney, Sim M.

AU - Lane, Stuart N.

AU - Heathwaite, A. Louise

AU - Dugdale, Lucy J.

PY - 2011/2/24

Y1 - 2011/2/24

N2 - Research has demonstrated that landscape or watershed scale processes can influence instream aquatic ecosystems, in terms of the impacts of delivery of fine sediment, solutes and organic matter. Testing such impacts upon populations of organisms (i.e. at the catchment scale) has not proven straightforward and differences have emerged in the conclusions reached. This is: (1) partly because different studies have focused upon different scales of enquiry; but also (2) because the emphasis upon upstream land cover has rarely addressed the extent to which such land covers are hydrologically connected, and hence able to deliver diffuse pollution, to the drainage network However, there is a third issue. In order to develop suitable hydrological models, we need to conceptualise the process cascade. To do this, we need to know what matters to the organism being impacted by the hydrological system, such that we can identify which processes need to be modelled. Acquiring such knowledge is not easy, especially for organisms like fish that might occupy very different locations in the river over relatively short periods of time. However, and inevitably, hydrological modellers have started by building up piecemeal the aspects of the problem that we think matter to fish. Herein, we report two developments: (a) for the case of sediment associated diffuse pollution from agriculture, a risk-based modelling framework, SCIMAP, has been developed, which is distinct because it has an explicit focus upon hydrological connectivity; and (b) we use spatially distributed ecological data to infer the processes and the associated process parameters that matter to salmonid fry. We apply the model to spatially distributed salmon and fry data from the River Eden, Cumbria, England. The analysis shows, quite surprisingly, that arable land covers are relatively unimportant as drivers of fry abundance. What matters most is intensive pasture, a land cover that could be associated with a number of stressors on salmonid fry (e.g. pesticides, fine sediment) and which allows us to identify a series of risky field locations, where this land cover is readily connected to the river system by overland flow. (C) 2010 Elsevier B.V. All rights reserved.

AB - Research has demonstrated that landscape or watershed scale processes can influence instream aquatic ecosystems, in terms of the impacts of delivery of fine sediment, solutes and organic matter. Testing such impacts upon populations of organisms (i.e. at the catchment scale) has not proven straightforward and differences have emerged in the conclusions reached. This is: (1) partly because different studies have focused upon different scales of enquiry; but also (2) because the emphasis upon upstream land cover has rarely addressed the extent to which such land covers are hydrologically connected, and hence able to deliver diffuse pollution, to the drainage network However, there is a third issue. In order to develop suitable hydrological models, we need to conceptualise the process cascade. To do this, we need to know what matters to the organism being impacted by the hydrological system, such that we can identify which processes need to be modelled. Acquiring such knowledge is not easy, especially for organisms like fish that might occupy very different locations in the river over relatively short periods of time. However, and inevitably, hydrological modellers have started by building up piecemeal the aspects of the problem that we think matter to fish. Herein, we report two developments: (a) for the case of sediment associated diffuse pollution from agriculture, a risk-based modelling framework, SCIMAP, has been developed, which is distinct because it has an explicit focus upon hydrological connectivity; and (b) we use spatially distributed ecological data to infer the processes and the associated process parameters that matter to salmonid fry. We apply the model to spatially distributed salmon and fry data from the River Eden, Cumbria, England. The analysis shows, quite surprisingly, that arable land covers are relatively unimportant as drivers of fry abundance. What matters most is intensive pasture, a land cover that could be associated with a number of stressors on salmonid fry (e.g. pesticides, fine sediment) and which allows us to identify a series of risky field locations, where this land cover is readily connected to the river system by overland flow. (C) 2010 Elsevier B.V. All rights reserved.

KW - Diffuse pollution

KW - Hydrological connectivity

KW - Land cover

KW - Salmonids

KW - Fine sediment

KW - Risk

KW - ATLANTIC SALMON

KW - WATER-QUALITY

KW - AGRICULTURAL LAND

KW - BIOTIC INTEGRITY

KW - BUFFER ZONES

KW - AQUATIC ECOSYSTEMS

KW - STREAM ECOSYSTEMS

KW - CATCHMENT-SCALE

KW - SPECIES TRAITS

KW - POLLUTION

UR - http://www.scopus.com/inward/record.url?scp=78651419149&partnerID=8YFLogxK

U2 - 10.1016/j.ecolmodel.2010.08.022

DO - 10.1016/j.ecolmodel.2010.08.022

M3 - Journal article

VL - 222

SP - 1016

EP - 1029

JO - Ecological Modelling

JF - Ecological Modelling

SN - 0304-3800

IS - 4

ER -