National Disaster Loss Databases (using DesInventar methodology)
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http://www.fao.org/economic/ess/ess-events/infosystem/en/ Expert consultation: Establishing an information system on damage and losses from disasters in crops, livestock, fisheries, aquaculture and forestry.
![The framework applies to the risk of small-scale
and large-scale, frequent and infrequent,
sudden and slow-onset disasters, caused by natural
or man-made hazards as well as related
environmental, technological and biological hazards
and risks. [Sendai Framework Para15]
For a period of 15 years
Sendai Framework
2015-2030](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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National Disaster Loss Databases (using DesInventar methodology)
- 1. National Disaster Loss Databases (using DesInventar methodology) 9-10 June, Rome, Italy Julio Serje – Sylvain Ponserre
- 2. The framework applies to the risk of small-scale and large-scale, frequent and infrequent, sudden and slow-onset disasters, caused by natural or man-made hazards as well as related environmental, technological and biological hazards and risks. [Sendai Framework Para15] For a period of 15 years Sendai Framework 2015-2030
- 3. 24(a) To promote the collection, analysis, management and use of relevant data and practical information and ensure its dissemination, taking into account the needs of different categories of users, as appropriate; Priority 1: Understanding disaster Risk Sendai Framework 2015-2030 24(d) To systematically evaluate, record, share and publicly account for disaster losses and understand the economic, social, health, education, environmental and cultural heritage impacts,
- 4. Global Assessment Report on Disaster Risk Reduction A growing number of national disaster loss databases are providing access to detailed losses that was previously not possible. Direct economic losses would be around 60% higher than those internationally reported
- 5. Global Assessment Report on Disaster Risk Reduction A large amount of damage occurs in small disaster events - constantly eroding essential development assets. The G∀R15 dataset only uses records of disaster of geological or weather related origin from 65 datasets covering 82 countries and 3 states . One of the highlights of G∀R 2015 analysis is the economic valuation of direct damage
- 6. Global Assessment Report on Disaster Risk Reduction 1970-2013 328,000 records 221 million ha of crops damaged 32 million lost cattle 377billion US$ of estimated economic losses 92 billion US$ of estimated economic losses only for agriculture sector (crops – livestock) 24% of estimated losses are assigned to agriculture sector (crops – livestock)
- 7. Global Assessment Report on Disaster Risk Reduction Based on 78 medium and large scale disasters
- 8. A tool for collecting disaster loss data. Currently, 16 quantitative, 12 qualitative common indicators plus unlimited custom indicators (soon aligned with the OIEWG recommendations) Wide coverage of disasters regardless of scales. (no thresholds) Disaggregation of data to subnational units (county/municipality) Collected and validated locally within the country. DesInventar Tool and methodology
- 10. Detailed disaster loss data for more than 90countries are available Developed by UNISDR, La Red and supported by UNDP, DesInventar is a free and open source tool that helps to analyze the disaster trends and their impacts in a systematic manner. But more importantly, DesInventar proposes a methodology that allows to develop analysis in a comparative way between the countries that have joined the initiative. DesInventar Tool and methodology
- 11. DesInventar Natural hazards – Severe impact on agriculture Niger Mali Senegal Togo
- 12. Niger Mali DesInventar Natural hazards – Severe impact on agriculture *Ravagers and locust pilgrims etc
- 13. DesInventar Economic valuation Loss on crops = number of hectares affected (C2a) * Aoha * 0.25 (damage ratio) Aoha = ∑ (Areai * Yieldi * Pricei / Total Area)
- 14. Aoha = (2,596,619,819/ 10,936,810) ∑ xx = DesInventar Economic valuation Areai YieldiPriceix x Total Area xx = xx = US$
- 15. DesInventar Economic valuation Loss on crops = 2,633,783 (C2a) * 237.4 * 0.25 (damage ratio) Loss on crops = 156 million US$ The yearly average of loss on crops, is around 4.1 million US$ (taking in account only years with damages reported).
- 16. DesInventar Challenges and Recommendations Collect good quality data, ideally disaggregated, on physical damage per hazardous event. Additional efforts to capture the number of hectares affected per type of crop for each hazardous event will be beneficial. Same for the type of livestock. Do not Forget, than Impact of small scale disasters on agriculture and food security is extremely relevant. Collect and record indicators of physical damage, possibility to improve methodologies that can be applied in the future. Turn over of people trained
- 17. DesInventar Challenges and Recommendations Convene experts to make this disaster loss tracking system adapted to the agricultural sector. Use an UNIQUE tool for the UN system, that can serve multiple purpose (SGD – UNFCCC – FAO – OCHA – UNDP etc.) - Develop API “data exchange” with multiple platforms. https://data.humdata.org/https://www.desinventar.net
- 18. Thank you What is not measured is invisible What is invisible is lost What is lost, cannot be acted on!
Editor's Notes
- Priority 1
- Priority 1
- Direct economic losses would be around 60% higher than those internationally reported
- 214 million of hectares = Extensives disasters – less then 30 deaths or 600 houses destroyed. 96 %
- Multilingual.
- Multilingual.
- 38 années