The University of Southampton
University of Southampton Institutional Repository

Fingerprinting source contributions to bed sediment-associated organic matter in the headwater sub-catchments of the River Itchen SAC, Hampshire, UK. Rivers

Fingerprinting source contributions to bed sediment-associated organic matter in the headwater sub-catchments of the River Itchen SAC, Hampshire, UK. Rivers
Fingerprinting source contributions to bed sediment-associated organic matter in the headwater sub-catchments of the River Itchen SAC, Hampshire, UK. Rivers
Excessive accumulation of sediment‐associated organic matter in river beds has detrimental impacts on aquatic ecology, including fish. Sediment and source samples were collected from 3 headwater tributaries of the River Itchen, in southern England. Near infrared spectra and bulk stable carbon and nitrogen isotopes were employed as fingerprint properties to quantify the relative contributions from catchment‐based (farmyard manures/slurries, damaged road verges, and septic tanks) and channel‐based (decaying instream vegetation, watercress farms, and fish farms) sources. The findings suggested that over the duration of the sampling period, the final estimated median relative contributions in the Candover Stream subcatchment were in the order: farmyardmeasures/slurries 74% > decaying instream vegetation 15% > watercress farms 6% > septic tanks 3% > damaged road verges 2%. For the River Arle subcatchment, corresponding estimated median relative contributions were in the order: watercress farms 40% > farmyard manures/slurries 28% > decaying instream vegetation 21% > fish farms 7% > damaged road verges and septictanks 2% each. Similar contributions were estimated for the Tichborne Stream subcatchment: watercress farms 36% > farmyard manures/slurries 26% > decaying instream vegetation 26% and damaged road verges and septic tanks at 6% each. These source apportionment estimates will contribute to stakeholder engagement and targeted management interventions.
bulk stable isotopes, farm manures, fish farms, NIR reflectance spectroscopy, sediment‐associated
1535-1459
1515–1526
Zhang, Y.
f812509d-2a3c-41aa-8ba1-68210952d5a6
Collins, A.
ee2d0353-3274-456f-9166-f798175ce869
McMillan, S.
7b1af5fc-7554-4030-a68a-61297345f281
Dixon, E.
8001e64c-3ad2-44f0-b4f4-9191f4208276
Cancer-Berroya, E.
eb99f0a1-b72b-42d0-91a7-1a60d6d394d7
Poiret, C.
2c4dc135-9146-4da8-925f-12218ee9a723
Stringfellow, A.
024efba8-7ffc-441e-a268-be43240990a9
Zhang, Y.
f812509d-2a3c-41aa-8ba1-68210952d5a6
Collins, A.
ee2d0353-3274-456f-9166-f798175ce869
McMillan, S.
7b1af5fc-7554-4030-a68a-61297345f281
Dixon, E.
8001e64c-3ad2-44f0-b4f4-9191f4208276
Cancer-Berroya, E.
eb99f0a1-b72b-42d0-91a7-1a60d6d394d7
Poiret, C.
2c4dc135-9146-4da8-925f-12218ee9a723
Stringfellow, A.
024efba8-7ffc-441e-a268-be43240990a9

Zhang, Y., Collins, A., McMillan, S., Dixon, E., Cancer-Berroya, E., Poiret, C. and Stringfellow, A. (2017) Fingerprinting source contributions to bed sediment-associated organic matter in the headwater sub-catchments of the River Itchen SAC, Hampshire, UK. Rivers. River Research and Applications, 33 (10), 1515–1526. (doi:10.1002/rra.3172).

Record type: Article

Abstract

Excessive accumulation of sediment‐associated organic matter in river beds has detrimental impacts on aquatic ecology, including fish. Sediment and source samples were collected from 3 headwater tributaries of the River Itchen, in southern England. Near infrared spectra and bulk stable carbon and nitrogen isotopes were employed as fingerprint properties to quantify the relative contributions from catchment‐based (farmyard manures/slurries, damaged road verges, and septic tanks) and channel‐based (decaying instream vegetation, watercress farms, and fish farms) sources. The findings suggested that over the duration of the sampling period, the final estimated median relative contributions in the Candover Stream subcatchment were in the order: farmyardmeasures/slurries 74% > decaying instream vegetation 15% > watercress farms 6% > septic tanks 3% > damaged road verges 2%. For the River Arle subcatchment, corresponding estimated median relative contributions were in the order: watercress farms 40% > farmyard manures/slurries 28% > decaying instream vegetation 21% > fish farms 7% > damaged road verges and septictanks 2% each. Similar contributions were estimated for the Tichborne Stream subcatchment: watercress farms 36% > farmyard manures/slurries 26% > decaying instream vegetation 26% and damaged road verges and septic tanks at 6% each. These source apportionment estimates will contribute to stakeholder engagement and targeted management interventions.

Text
Zhang et al, 2017 - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 25 May 2017
e-pub ahead of print date: 9 August 2017
Published date: December 2017
Keywords: bulk stable isotopes, farm manures, fish farms, NIR reflectance spectroscopy, sediment‐associated

Identifiers

Local EPrints ID: 416085
URI: http://eprints.soton.ac.uk/id/eprint/416085
ISSN: 1535-1459
PURE UUID: 5a314527-87a8-4212-b0c5-dcf4d3567e2d
ORCID for A. Stringfellow: ORCID iD orcid.org/0000-0002-8873-0010

Catalogue record

Date deposited: 01 Dec 2017 17:30
Last modified: 16 Mar 2024 03:06

Export record

Altmetrics

Contributors

Author: Y. Zhang
Author: A. Collins
Author: S. McMillan
Author: E. Dixon
Author: E. Cancer-Berroya
Author: C. Poiret
Author: A. Stringfellow ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×