R implementation of the Ecological Risk due to Flow Alteration (ERFA) method
bibliographic citation: Laize, C.L.R., Thompson, J.R. (2019). R implementation of the Ecological Risk due to Flow Alteration (ERFA) method. NERC Environmental Information Data Centre. https://doi.org/10.5285/98ec8073-7ebd-44e5-aca4-ebcdefa9d044
description: This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems. Although the code was developed with a geographical focus on southeast Asia (example datasets are provided for the Mekong River Basin), it can be applied for any location where baseline and scenario monthly river flow time series are available. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
provenance: ProvenanceStatement
  label: This application comprises a series of R scripts and also uses the Shiny R package. It was developed using R version 3.4.2 and Shiny version 1.0.5 and has been tested up to R version 3.6.1 and Shiny version 1.3.2 on both the Windows and MacOS operating systems. At a minimum it requires the installation of R but it can also run under R Studio.
publisher: NERC Environmental Information Data Centre
subject: Environmental risk
subject: Modelling
subject: Flow alteration
subject: River ecosystem
subject: Ecological risk
subject: Ecohydrology
subject: Hydroecology
type: Software
license: plain
rights: RightsStatement
  copyright notice: copyright UK Centre for Ecology & Hydrology
rights: RightsStatement
  copyright notice: copyright Natural Environment Research Council
rights: RightsStatement
  copyright notice: copyright University College London (UCL)
access rights: RACC
creator: Laize, C.L.R.
creator: Thompson, J.R.
language: en

Laize, C.
type: Person
family name: Laize
given name: Cedric
member: UK Centre for Ecology & Hydrology

NERC Environmental Information Data Centre
type: Organization

Laize, C.L.R.
type: Person
family name: Laize
given name: C.L.R.
member: UK Centre for Ecology & Hydrology

Thompson, J.R.
type: Person
family name: Thompson
given name: J.R.
member: University College London

Environmental risk
type: Concept

Modelling
type: Concept

UK Centre for Ecology & Hydrology
type: Organization

University College London
type: Organization