Adaptation Tipping Points and Resilience
Adaptation Tipping Points and Resilience Adaptation Tipping Points and Resilience
Assessment of adaptation tipping points 1. Scoping the assessment: make a long list of possible consequences of climate change for a region or sectors 2. Prioritise climate change trends and impacts: From long list to short list. Select impacts based on potential severity and likeliness (e.g. build urgency matrix (use trends + extreme scenarios)) 3. Select indicators and threshold values: determine what effects are acceptable according to: Analysis of policy objectives / standards / administrative arrangements, Public opinion, and/or Statistics 4. Determine adaptation tipping points: how much change sectors can handle, given the thresholds value (independent from time) (e.g. by system analysis linking climate conditions to the thresholds) 5. Translate tipping points to timescale: Use existing scenario (eg IPCC, or from national agencies) to assess when tipping points are likely to occur 6. Determine alternative adaptation strategies: assess how to implement a different strategy or additional measures to postpone / resolve a tipping point (methods depend on scale, score these alternatives to policy targets) 7. Determine decision tree & adaptation pathways: Repeat 4 & 5 for these alternatives + assess how easy it is to switch in time (flexibility/‘no regret’)
Assessment of vuln. / adaptation tipping points 1. Scoping the assessment: make a long list of possible consequences of climate change for a region or sectors Rows: Effects of climate change + scores of likelihood Columns: Impacts (on flood safety, fresh water supply, economic activities (navigation, drinking water, power production)+ scores of severity)
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Assessment of adaptation tipping points<br />
1. Scoping the assessment: make a long list of possible consequences of<br />
climate change for a region or sectors<br />
2. Prioritise climate change trends <strong>and</strong> impacts: From long list to short list.<br />
Select impacts based on potential severity <strong>and</strong> likeliness (e.g. build urgency<br />
matrix (use trends + extreme scenarios))<br />
3. Select indicators <strong>and</strong> threshold values: determine what effects are<br />
acceptable according to: Analysis of policy objectives / st<strong>and</strong>ards /<br />
administrative arrangements, Public opinion, <strong>and</strong>/or Statistics<br />
4. Determine adaptation tipping points: how much change sectors can<br />
h<strong>and</strong>le, given the thresholds value (independent from time) (e.g. by system<br />
analysis linking climate conditions to the thresholds)<br />
5. Translate tipping points to timescale: Use existing scenario (eg IPCC, or<br />
from national agencies) to assess when tipping points are likely to occur<br />
6. Determine alternative adaptation strategies: assess how to implement a<br />
different strategy or additional measures to postpone / resolve a tipping<br />
point (methods depend on scale, score these alternatives to policy targets)<br />
7. Determine decision tree & adaptation pathways: Repeat 4 & 5 for these<br />
alternatives + assess how easy it is to switch in time (flexibility/‘no regret’)