Overview example

Subtask Description:
This is not in itself a subtask but it may be useful to create a similar table, where all the indicators –ecological, social and economic- are grouped together.

Action points of the implementation:

Firth of Clyde, Loch Fyne, Scotland.

Policy Issue:
Implications of increased leisure and tourist use of the Firth of Clyde

Human Activities:
Tourism, aquaculture, fisheries, maritime transport

General Information:
As the Scottish Government aims to keep pace with global tourism trends and achieve 50% revenue growth, with social, economic and environmental stability, a study was made to examine the potential for future development of the sailing industry in the Firth of Clyde. The study suggested that the Clyde estuary could double its berthing capacity for recreational boating by 2015, but this created several stakeholder concerns relatively to the impacts of increased leisure boating to other resource users, particularly mussel aquaculture and navigation, especially in relation to competition for space and water quality.

Example of Implementation:

IMPACT (in priorty)







States / Conditions

Societal response


Increase in tourism & leisure


Number of moorings/ berths/ visiting boats



Existing levels (2000)



Number of wildlife operators






Tourism levels






Coastal recreation visitor days / overnight trips




Reduced water quality in the Clyde system

Maintain & improve water quality to legislative standards - EU, UK

Number of reported pollution incidents

Waste water points

Quality elements from the WFD and other water quality directives (eg N, P, coliforms etc)

Acreage of shellfish growing areas with harvest restrictions resulting from pollution

Legislative standards

 Water quality testing failures

Status of monitored beaches

Beach closures

Trend over time

Competition and conflict for space and resources e.g. moorings, infrastructure

Minimise conflict for space and resources by integrated development and MSP within ecological carrying capacity

Number of marinas/moorings

Aquaculture productivity



Land tenure

Number of sectors and proportional representation

Presence of marine spatial planning and/or coastal zone partnerships



Area of coastal water off limits to fishing

Opportunity costs


Disturbance to marine wildlife & ecosystems from leisure operations e.g. wildlife watching, strikes, anchors etc.

Minimise disturbance to wildlife and habitats through appropriate planning and management instruments

Number of wildlife watching tours

Status of indicator species

Presence of management instruments


Number of infringements / reported incidents


Presence of monitoring/reporting programmes


Habitat loss from infrastructure development e.g. marina's etc

Minimise habitat loss from existing and new leisure infrastructure

Land use changes

Status of designated areas

Protected areas as % of total area

Habitats Directive


Percentage change in extent of selected marine and coastal habitats



Socio-economic development in rural communities

Maximise and diversify the socio-economic development in rural communities in the Clyde in a sustainable context


Value of tourism / leisure industry

Population within x km of the coast



Employment tourism / leisure industry




Employment other industries




Average wage / average national wage




Proportion of seafood sold locally




Population age structure




Economic diversity




Unemployment / GDP




Income distribution / socio-economic index



Safety incidents and severity

Improve safety at sea within appropriate regulatory limits and guidelines


Number and severity of accidents




Number of RNLI boat/tourism/leisure related call-outs



Carbon footprint of increased leisure activities and associated travel

Minimise the carbon footprint of leisure travel


Tourist statistics + CO2 emissions (carbon calculator)




Mode or travel / location



This example provides a good connection between the identification of indicators and an approach to DPSIR analysis. Yet it would be probably more useful to add an extra column that would provide the “variable” that would be used for the quantification of every indicator and the source of these data or information.

Callum Whyte, C.Whyte@napier.ac.uk