Agricultural impact assessment and management after three widespread tephra falls in Patagonia, South America

Heather Craig (), Thomas Wilson, Carol Stewart, Gustavo Villarosa, Valeria Outes, Shane Cronin and Susanna Jenkins
Additional contact information
Heather Craig: University of Canterbury
Thomas Wilson: University of Canterbury
Carol Stewart: Massey University Wellington Campus
Gustavo Villarosa: INIBIOMA (CONICET-Universidad Nacional del Comahue)
Valeria Outes: INIBIOMA (CONICET-Universidad Nacional del Comahue)
Shane Cronin: The University of Auckland
Susanna Jenkins: University of Bristol

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 82, issue 2, No 22, 1167-1229

Abstract: Abstract Agricultural production is often concentrated in volcanically active or previously active areas where weathered volcanic products form fertile soils. However, this proximity means agriculture is exposed to tephra fall hazards. The type and severity of impacts to agricultural systems from tephra fall are dependent on both the hazard intensity metrics (tephra fall characteristics, such as thickness, grain size) and the vulnerability characteristics of the exposed agricultural system(s). Understanding the relationship between significant intensity metrics of tephra fall hazard and farm-scale and region-scale vulnerabilities is key to impact assessment and informing management and recovery strategies. Several large silicic eruptions have occurred over the past 20 years in the Patagonian region of South America, including the 1991 Hudson, 2008 Chaitén, and 2011 Cordón Caulle eruptions. These events deposited varying thicknesses of tephra on thousands of farms distributed across a variety of climates and production styles. Drawing on impact assessment data collected from interviews undertaken on post-event impact assessment reconnaissance trips, and other reports, this study evaluates the importance of tephra thickness as a hazard intensity metric, and vulnerability characteristics, when assessing impacts in the short and long term and, compares the effectiveness of response and recovery strategies. Whilst tephra thickness was the best single indicator of agricultural production losses, other factors, notably climate, farm type, and access to mitigation measures such as irrigation and/or cultivation, were also important indicators of damage. The climatic zone and associated precipitation level was found to be one of the most important characteristics of vulnerability, with higher damage occurring at lower tephra thicknesses in the semi-arid regions compared to farms in the temperate zone.

Keywords: Tephra fall; Agriculture; Tephra impacts; Impact assessment; Management; Cordón Caulle-volcanic complex; Chaitén; Hudson (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-016-2240-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:82:y:2016:i:2:d:10.1007_s11069-016-2240-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-016-2240-1

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().