Dollar, Evan; Edwards, Francois; Laize, Cedric; May, Linda
ORCID: https://orcid.org/0000-0003-3385-9973; Acreman, Michael; Wood, Paul.
2013
Monitoring and assessment of environmental impacts of droughts (SC120024): work package 4. Final report.
Bristol, UK, Environment Agency, 47pp.
(Report SC120024/R1, CEH Project no. C04647)
(Unpublished)
Abstract
The Environment Agency is responsible for managing water resources in England and
Wales. During droughts, the Agency monitors, reports and mitigates their effect on the
environment. Monitoring and reporting is undertaken to provide the evidence-base for
decisions on appropriate mitigation measures. The NDSN (National Drought
Surveillance Network) was established by the Environment Agency in 2010 to provide
this evidence-base. A recent (2012) literature review highlighted the limitations of our
current understanding of the ecological effects of drought as there are few long-term
drought studies. Similarly, a review of the NDSN, informed by the literature review,
recommended the NDSN be enhanced by including macrophyte, fish and diatom data
(in addition to macro-invertebrate data) and by collecting water quality, temperature
and hydraulic information at all NDSN sites. It was also recommended that monitoring
frequency be increased.
In an earlier phase of this work, an existing methodology, DRUWID (DRIEDUP With
Incremental Drought), was used as a framework for developing regional
ecohydrological models with a particular emphasis on assessing and predicting the
effects of long-term drought. It was demonstrated that DRUWID could be successfully
applied to assess the ecological effects of drought, but that further testing and
validation was required. A conceptual framework was developed for rivers based on
the understanding that drought progressively reduces the volume of water and the
wetted habitat of a water body, variably affecting lateral, vertical and longitudinal
connectivity. Conceptual abiotic and biotic response curves to drying and re-wetting
were developed which were aligned to the Environment Agency’s four state drought
model (normal situation – developing drought – drought – severe drought – recovering
from drought – normal situation).
This study represents an extension of the aforementioned drought work. An
assumption was made that the objective of the NDSN is to develop drought curves for
different river types that in future would allow for the development of critical thresholds
that would either flag Ecological Quality Ratio failures and / or deliver an early warning
signal to trigger specific management measures. Accordingly, this study has been
tailored as an adaptive management approach, with the work representing a ‘proof of
concept’ of an adaptive approach. Thus, DRUWID has been applied to assess the
ecological effects of drought. DRUWID outputs have been input to a GIS which plots
drought effects at a national-scale. This information has been used to iteratively
update the conceptual drought curves for rivers. With further work and refinement,
these curves could be used to help set early warning signals or critical thresholds for
management intervention. In adopting this approach, significant learning has been
achieved, which has highlighted knowledge, information and management gaps. This
learning has been taken forward by making a number of general strategy
recommendations for enhancing the NDSN including the need for an appropriate river
typology, more frequent and consistent collection of species-level and River Habitat
Survey data and the importance of collecting site-level hydraulic, temperature and light
information. Ecohydrological models could be enhanced by the incorporation of
hydraulic information rather than just flow. Ultimately, however, a monitoring strategy
should seek to capture effects and manage drought at the landscape-scale.
A preliminary set of curves has also been developed to represent the response of an
‘average’ lake to drought based on expert opinion. Recommendations have been
made for a lake monitoring programme, including the importance of bathymetric survey
data and hydraulic modelling.
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