Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)

Landscape and Urban Planning

Volumn 110, Issue 1, 2013, Pages 64-73

  Dondo Bühler, Mariana ^a   de Torres Curth, Mónica ^a,b,c   Garibaldi, Lucas Alejandro ^a,c  

^a UNIVERSIDAD NACIONAL DE RÍO NEGRO   (Argentina)

^b LABORATORIO ECOTONO   (Argentina)

^c Universidad Nacional de Río Cuarto Consejo Nacional de Investigaciones Científicas y Técnicas   (Argentina)

Author keywords

Fire; Patagonia; Population density; Quantile regression; Socioeconomic vulnerability; Wildland urban interface

Indexed keywords

DEMOGRAPHY; ECONOMIC AND SOCIAL EFFECTS; ECONOMICS; FIRES; HUMAN RESOURCE MANAGEMENT; INVESTMENTS; LAND USE; POPULATION DISTRIBUTION; POPULATION DYNAMICS;

PATAGONIA; POPULATION DENSITIES; QUANTILE REGRESSION; SOCIO-ECONOMIC VULNERABILITY; WILDLAND URBAN INTERFACE;

POPULATION STATISTICS;

ANTHROPOGENIC EFFECT; DEMOGRAPHY; FIRE HISTORY; FIRE MANAGEMENT; FOREST MANAGEMENT; LAND USE PLANNING; POLICY MAKING; POPULATION DENSITY; PRINCIPAL COMPONENT ANALYSIS; SOCIAL POLICY; SOCIOECONOMIC IMPACT; UNEMPLOYMENT; URBAN PLANNING; VULNERABILITY; WELFARE IMPACT;

ARGENTINA; BARILOCHE; PATAGONIA; RIO NEGRO [ARGENTINA];

EID: 84871746873     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2012.10.006     Document Type: Article

References (58)

1. Abalerón C.A. The pros and cons of peri-urban management in a tourist city. Paper produced for the conference rural - Urban encounters: Managing the environment of the peri-urban interface 2001, Development planning Unit, University College London. http://www.bartlett.ucl.ac.uk/dpu.
2. British Columbia Forestal Service & Plan Nacional de Manejo del Fuego (BCFS-PNMF) Guía para la prevención de incendios de interfase 2002, República Argentina (Guide for the prevention of interface fires in Argentina), Available in http://www.ambiente.gov.ar/default.asp?IdArticulo=2488 (in Spanish).
3. Brocklesby M.A., Hinshelwood E. Poverty and the environment: What the poor say. An assessment of poverty-environment linkages in participatory poverty assessments 2001, Centre for Development Studies, University of Wales Swansea, UK.
4. Butry, D. T., & Prestemon, J. P. (2005). Spatio-Temporal Wildland Arson Crime Functions. American Agricultural Economics Association Annual Meeting, Providence, Rhode Island.
5. Butry D., Pye J., Prestemon J. Prescribed fire in the interface: Separating the people from the trees. Proceedings of the eleventh biennial southern silvicultural research conference. General Technical Report SRS-48 2002, 132-136. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, US. K.W. Outcalt (Ed.).
6. Burnham K., Anderson D., Huyvaert K. AIC model selection and multimodel inference in behavioral ecology: Some background, observations, and comparisons. Behavioral Ecology and Sociobiology 2011, 65:23-35.
7. Cade B.S., Richards J.D. User manual for blossom statistical software 2005, U.S. Geological Survey Open-File Report 2005-1353. 124 pp. http://www.fort.usgs.gov/products/publications/pub_abstract.asp?PubID=21536.
8. Cardille J.A., Ventura S.J., Turner M.G. Environmental and social factors influencing wildfires in the upper Midwest, United States. Ecological Applications 2001, 11:111-127.
9. Chou Y.H., Minnich R.A., Chase R.A. Mapping probability of fire occurrence in San Jacinto Mountains, California, USA. Environmental Management 1993, 17:129-140.
10. Collins T.W. Households, forests, and fire hazard vulnerability in the American West: A case study of a California community. Environmental Hazards 2005, 6:23-37.
11. Countryman C.M. The fire environment concept 1972, USDA Forest Service, Pacific Southwest Range and Experiment Station, Berkeley, CA, USA, 12 pp.
12. Cohen J.D. Preventing disaster: Home ignitability in the wildland-urban interface. Journal of Forestry 2000, 98:15-21.
13. de Torres Curth M., Biscayart C., Ghermandi L., Pfister G. Wildland urban interface fires and socioeconomic conditions: A case study of a Northwestern Patagonia city. Environmental Management 2012, 49:876-891.
14. de Torres Curth M.I., Ghermandi L., Pfister G. Los incendios en el noroeste de la Patagonia: su relación con las condiciones meteorológicas y la presión antrópica a lo largo de 20 años. Ecología Austral 2008, 18:153-167. (in Spanish).
15. Dirección General de Estadísticas y Censos (DGEyC) Censo Nacional de Población, Hogares y Viviendas 2001 (National Census of Population and Housing) 2005, Secretaría de Planificación y Control de Gestión. Provincia de Río Negro, Argentina, www.rionegro.gov.ar. Accessed online (in Spanish).
16. Ellis E.C., Klein Goldewijk K., Siebert S., Lightman D., Ramankutty N. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography 2010, 19:589-606.
17. FAO. (2003). Community-based fire management: Case studies from China, The Gambia, Honduras, India, the Lao People's Democratic Republic and Turkey. Rap publication 2003/08. Forest Resources Development Service, Working paper FFM/2. Bangkok, Thailand, FAO Regional Office for Asia and the Pacific.
18. Guyette R.P., Muzika R.M., Dey D.C. Dynamics of an anthropogenic fire regime. Ecosystems 2002, 5:472-486.
19. Haight R.G., Cleland D.T., Hammer R.B., Radeloff V.C., Rupp T.S. Assessing fire risk in the wildland-urban interface. Journal of Forestry 2004, 104:41-48.
20. Instituto Nacional de Estadística y Censos (INDEC). National Census 2010, preliminary results. Accessed online March 2011. http://www.indec.mecon.gov.ar/.
21. Jennings Socioeconomic factors and the incidence of fire 1997, Federal Emergency Management Agency, United States Fire Administration, National Fire Data Center. http://www.usfa.fema.gov/downloads/pdf/statistics/socio.pdf.
22. Johnson J.B., Omland K. Model selection in ecology and evolution. Trends in Ecology and Evolution 2004, 19(2).
23. Johnson Gaither C., Poudyal N.C., Goodrick S., Bowker J.M., Malone S., Gan J. Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach. Forest Policy and Economics 2011, 13:24-36.
24. Jolliffe I. Principal component analysis 2002, Springer, NY, 518 pp. 2nd ed.
25. Katzman, R., Beccaria, L., Filgueira, F., Golbert, L., & Kessler, G. (1999). Vulnerabilidad, activos y exclusión social en Argentina y Uruguay (Vulnerability, assets and social exclusion in Argentina and Uruguay). Documento de Trabajo 107. OIT. Santiago de Chile. ISBN: 92 2 311840 9; ISSN: 1020 3974 (in Spanish). http://intranet.oit.org.pe/index.php%3Foption=com_content%26task=view%26id=507%26Itemid=1154.
26. Keeley J.E. Fire history of San Francisco East Bay region and implications for landscape patterns. International Journal of Wildland Fire 2005, 14:285-296.
27. Keeley J.E., Fotheringham C.J., Morais M. Reexamining fire suppression impacts on shrubland fire regimes. Science 1999, 284:1829-1832.
28. Kitzberger T. ENSO as a forewarning tool of regional fire occurrence in northern Patagonia, Argentina. International Journal of Wildland Fire 2002, 11:33-39.
29. Kitzberger T., Veblen T.T. Influence of climate on Fire in Northern Patagonia, Argentina. Fire and climatic change in temperate ecosystems of the Western Americas 2003, 2296-2321. Springer-Verlag, New York. T.T. Veblen, W.L. Baker, G. Montenegro, T.W. Swetnam (Eds.).
30. Kitzberger T., Veblen T.T., Villalba R. Climatic influences on fire regimes along a rain forest-to-xeric woodland gradient in northern Patagonia, Argentina. Journal of Biogeography 1997, 24:35-47.
31. Koenker R. quantreg: Quantile regression. R package version 4.76 2011, http://cran.rproject.org/package=quantreg.
32. Leone V., Lovreglio R., Martinez-Fernandez J. Forest fires and anthropogenic influences: A study case (Gargano National Park, Italy). Forest fire research & wild-land fire safety 2002, 11-28. Millpress, Rotterdam. X. Viegas (Ed.).
33. Macie E.A., Hermansen L.A. Human influences on forest ecosystems: The Southern wild-land-urban interface assessment 2002, US Department of Agriculture Forest Service, Southern Research Station General Technical Report SRS-55, Asheville, NC, 160 pp. http://www.srs.fs.usda.gov/pubs/gtr/gtr_srs055.pdf.
34. Martell D.L., Otukol S., Stocks B.J. A logistic model for predicting daily people-cause forest fire occurrence in Ontario. Canadian Journal of Forest Research 1987, 17:394-401.
35. Martinez, J., Chuvieco, E., & Martín, P. (2000). Estimación de factores de riesgo humano de ignición en España mediante regresión logística (Estimation of factors of human risk of ignition in Spain, through logistic regression). USDA Forest Service Gen. Tech. Rep. PSW-GTR-208. (in Spanish). http://www.fs.fed.us/psw/publications/documents/psw_gtr208es/psw_gtr208es_281-294_martinez.pdf.
36. Martinez J., Vega García C., Chuvieco E. Human-caused wildfire risk rating for prevention planning in Spain. Journal of Environmental Management 2009, 90:1241-1252.
37. Matossian, B. (2010). Expansión urbana y migración. El caso de los migrantes chilenos en San Carlos de Bariloche como actores destacados en la conformación de barrios populares (Urban growth and migration. Chilean migrants in San Carlos de Bariloche as actors in low class neighborhoods shaping). Scripta Nova. Revista Electrónica de Geografía y Ciencias Sociales. [online]. Barcelona: Universidad de Barcelona, Vol. XIV, no. 331 (76). (in Spanish). http://www.ub.es/geocrit/sn/sn-331/sn-331-76.htm.
38. Mercer D.E., Prestemon J.P. Comparing production function models for wildfire risk analysis in the wildland-urban interface. Forest Policy and Economics 2005, 7:782-795.
39. Mermoz M., Kitberger T., Veblen T.T. Landscape influences on occurrence and spread of wildfires in Patagonian forests and shrublands. Ecology 2005, 86:2705-2715.
40. Mermoz M., Ubeda C., Grigera D., Brion C., Martín C., Bianchi E., et al. El Parque Nacional Nahuel Huapi. Sus características ecológicas y estado de conservación 2009, Editorial APN, PNNH, Bariloche, Argentina, 80 pp. (in Spanish).
41. Naumann C.M., Sacholuz L.A. Mapa de la vegetación del ejido de la ciudad de San Carlos de Bariloche (Vegetation map of San Carlos de Bariloche's municipal district). Revista de Geología Aplicada a la Ingeniería y al Ambiente 2000, 14:92-97. (in Spanish).
42. Padilla M., Vega Garcia C. On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrence in Spain. International Journal of Wildfire 2011, 20:46-58.
43. Paradis E., Claude J., Strimmer K. APE: Analyses of phylogenetics and evolution in R language. Bioinformatics 2004, 20:289-290.
44. PNMF. (2011). Forest fires statistics in Argentina. Last access date: September 2011 (in Spanish). http://www.ambiente.gov.ar/.
45. Porrero Rodríguez M.A. Incendios Forestales. Investigación de causas 2001, Mundi Prensa, Madrid, 158 pp. (in Spanish).
46. Prestemon J., Butry D. Time to burn. Modeling wildland arson as an autorregresive crime function. American Journal of Agricultural Economics 2005, 87(3):756-770.
47. Prestemon J., Butry D., Abt K., Sutphen R. Net benefits of wildfire prevention education efforts. Forest Science 2010, 56(2):181-192.
48. Rangel T.F., Felizola Diniz-Filho J.A., Bini L.M. Towards an integrated computational tool for spatial analysis in macroecology and biogeography. Global Ecology and Biogeography 2006, 15:321-327.
49. Richards S. Testing ecological theory using the Information-Theoretic approach: Examples and cautionary results. Ecology 2005, 86(10):2805-2814.
50. Roman-Cuesta R.M., Garcia M., Retana J. Environmental and human factors influencing fire trends in Enso and Non-Enso years in Tropical Mexico. Ecological Applications 2003, 13(4):1177-1192.
51. SPLIF. (2001-2005). Registros de incendios forestales, provincia de Río Negro (Forest fires records, Río Negro Province). Unpublished data (in Spanish).
52. Sturtevand B.R., Cleland D.T. Human and biophysical factors influencing modern fire disturbance in northern Wisconsin. International Journal of Wildland Fire 2007, 16:398-413.
53. Syphard A.D., Radeloff V.C., Keeley J.E., Hawbaker T.J., Clayton M.K., Stewart S.I., et al. Human influence on California fire regimes. Ecological Applications 2007, 17(5):1388-1402.
54. Syphard A.D., Radeloff V.C., Hawbaker T.J., Stewart S.I. Conservation threats due to human-caused increases in fire frequency in mediterranean-climate ecosystems. Conservation Biology 2009, 23(3):758-769.
55. Veblen T., Kitzberger T., Donnegan J. Climatic and human influences on fire regimes in ponderosa pine forests in the colorado front range. Ecological Applications 2000, 10:1178-1195.
56. Veblen T., Kitzberger T., Raffaele E., Lorenz D.C. Fire history and vegetation changes in northern Patagonia, Argentina. Fire and climatic change in temperate ecosystems of the Western Americas 2003, 265-295. Springer-Verlag, New York. T.T. Veblen, W.L. Baker, G. Montenegro, T.W. Swetnam (Eds.).
57. Vega García C., Woodard P.M., Titus S.J., Adamowicz W.L., Lee B.S. A logit model for predicting the daily occurrence of human caused forest fires. Int. J. Wildland Fire 1995, 5(2):101-111.
58. Vilar de Hoyo, L., Gómez Nieto, I., Martín Isabel, M. P., & Martínez Vega, F. J. (1997). Análisis comparativo de diferentes métodos para la obtención de modelos de riesgo humano de incendios forestales. 4ta Conferencia internacional sobre incendios forestales. Sevilla, Expaña. http://www.fire.uni-freiburg.de/sevilla-2007/contributions.