4. Indicators for sustainable development Flashcards
1
Q
What is the difference between an indicator an index?
A
Indicators measure a single topic.
An index merges multiple indicators.
1
Q
Describe the two ways of measuring sustainable development.
A
- Summarize everything in an aggregated index. E.g. human development index, combining many indicators.; Happy Planet Index.
- Not striving to tell everything but creating an Indicator collection. E.g.: Sustainable Development Goals.
2
Q
Name 1 strength and 1 weakness of indices.
A
Strengths
- Single number
- Easy to communicate
Weaknesses
- Too simplistic and one dimensional: averages out (if one thing gets better, and one things gets worse, there would be no change)
- Might have missing data and more incomplete
- Calculation methods might be arbitrary (e.g. with normalisation)
- You need to decide what is more important, and weighs more
3
Q
Name 1 strength and 1 weakness of indicator collections
A
Strengths
- Multi dimensional, holistic (can show nuances and trade offs)
- No calculation errors
Weaknesses
- Difficult to communicate, too much information
4
Q
What does an indicator do?
A
- Simplify complicated problems
- Give insight in such problems
- Quantify important underlying goals
- Enable to support decision
5
Q
What are two weaknesses of the Red List Index?
A
- There might be differences in species distribution and vulnerable to presence/absence and monitoring;
- Doesn’t account for invasive species that might have a detrimental impact
- Monitoring might be costly despite working with volunteers
- Doesn’t show drivers.
6
Q
Describe 1 strength and 1 weakness of MSA.
A
Weakness:
- Hard to decide baseline scenario
- Strongly aggregates biodiversity data and pressures, giving all an equal weight
Strengths:
- Gives info about ecosystem as a whole + interaction between species
- Spatially explicit
7
Q
Name three characteristics of a good indicator
A
A good indicator is:
- Measurable
- Comparable over time, space, etc.
- Represents what you are trying to measure
- Robust
- Complete; helps capturing full system
- Reproducible (for this it should be well documented and transparent)
- Data should not be expensive
- Sensitive to change
- Easy to understand
- Should be inclusive
- Data should be collected and shared ethically
- Should support decision making
8
Q
What is the EU framework for measuring indicator quality?
A
- Relevant; linked to the objectives
- Accepted: by staff, stakeholders, scientists
- Credible: unambiguous and easy to interpret
- Easy to monitor
- Robust against manipulation and error