scispace - formally typeset
C

Chris Soulsby

Researcher at University of Aberdeen

Publications -  397
Citations -  17896

Chris Soulsby is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Groundwater & Surface runoff. The author has an hindex of 75, co-authored 370 publications receiving 15497 citations. Previous affiliations of Chris Soulsby include Technical University of Berlin & National Rivers Authority.

Papers
More filters
Journal ArticleDOI

Assessing runoff generation in riparian wetlands: monitoring groundwater-surface water dynamics at the micro-catchment scale.

TL;DR: The results of a study from an experimental catchment in the Scottish Highlands where spatio-temporal runoff processes in RW were investigated using isotopes, alkalinity and hydrometric measurements are reported to better understand the heterogeneity in GW–SW interactions.
Journal ArticleDOI

Incorporating estimates of capture probability and river network covariance in novel habitat – abundance models: Assessing the effects of conservation stocking on catchment-scale production of juvenile Atlantic salmon (Salmo salar) from a long-term electrofishing dataset

TL;DR: In the Girnock Burn data set, the authors of as discussed by the authors showed that the benefit of conservation stocking can not be quantified, even where implemented to best scientific standards, and that there was no overall benefit of stocking.
Journal ArticleDOI

Hydrology in Scotland: towards a scientific basis for the sustainable management of freshwater resources: foreword to thematic issue

TL;DR: The main scientific events associated with understanding the science of hydrology in Scotland are summarized and major contemporary research themes are outlined.
Journal ArticleDOI

To what extent does hydrological connectivity control dynamics of faecal indicator organisms in streams? Initial hypothesis testing using a tracer-aided model.

TL;DR: In this article, a tracer-aided hydrological model was used within a coupled modelling approach to explore the role of connectivity in governing stream faecal coliform (FC) dynamics.