Historic distribution and driving factors of human-caused fires in the Chinese boreal forest between 1972 and 2005

Journal of Plant Ecology

Volumn 8, Issue 5, 2014, Pages 480-490

  Guo, Futao ^a,b   Innes, John L ^b   Wang, Guangyu ^b   Ma, Xiangqing ^a   Sun, Long ^c   Hu, Haiqing ^c   Su, Zhangwen ^a  

^a FUJIAN AGRICULTURE AND FORESTRY UNIVERSITY   (China)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c NORTHEAST FORESTRY UNIVERSITY   (China)

Author keywords

anthropogenic fire; boreal forest; K function; Kernel intensity estimation; logistic regression; spatial distribution

Indexed keywords

EID: 84943645758     PISSN: 17529921     EISSN: 1752993X     Source Type: Journal    
DOI: 10.1093/jpe/rtu041     Document Type: Article

References (47)

1. Amatulli G, Pérez-Cabello F, de la Riva J (2007) Mapping lightning/human-caused wildfres occurrence under ignition point location uncertainty. Ecol Modelling 200:321-33.
2. BC Ministry of Forests and Range, Wildfre Management Branch (2009) Climate Change and Fire Management Research strategy, 2010.
3. Bergeron Y, Gauthier S, Flannigan M, et al. (2004) Fire regimes at the transition between mixed wood and coniferous boreal forest in northwestern Quebec. Ecology 85:1916-32.
4. Catry FX, Rego FC, Bação FL, et al. (2009) Modeling and mapping wildfre ignition risk in Portugal. Int J Wildland Fire 18:921-31.
5. Chang Y, Zhu Z, Bu R, et al. (2013) Predicting fre occurrence patterns with logistic regression in Heilongjiang Province, China. Landsc Ecol 28:1989-2004.
6. Chas-Amill ML, Touza J, Prestemon JP (2010) Spatial distribution of human-caused forest fres in Galicia (NWSpain). In Perona G, Brebbia CA (eds). WIT Transactions on Ecology and the Environment, Vol. 137. Southampton: WIT Press, Error! Hyperlink reference not valid., ISSN 1743-3541 (online).
7. Collins BM, Miller JD, Thode AE, et al. (2009) Interactions among wildland fres in a long-established Sierra Nevada natural fre area. Ecosystems 12:114-28.
8. Cressie NAC (1993) Statistics for Spatial Data (Revised Edition). New York: Wiley Publishing.
9. de la Riva J, Pérez-Cabello F, Lana Renault N, et al. (2004) Mapping wildfre occurrence at a regional scale. Remote Sens Environ 92:363-9.
10. de Vasconcelos MJP, Silva S, Tome M, et al. (2001) Spatial prediction of fre ignition probabilities: comparing logistic regression and neural networks. Photogramm Eng Remote Sens 67:73-81.
11. del Hoyo VL, Martín Isabel M, Martínez Vega F (2011) Logistic regression models for human-caused wildfre risk estimation: analysing the effect of the spatial accuracy in fre occurrence data. Eur J Forest Res 130:983-96.
12. Dimitrakopoulos A P, Mitsopoulos ID (2006) Global Forest Resources Assessment 2005-Report on Fires in the Mediterranean Region. Forestry Department, FAO.
13. Dixon PM (2002) Ripley's K function. In El-Shaarawi AH, Piegorsch WW (eds). Encyclopedia of Environmetrics. Chichester: John Wiley& Sons, 1796-803.
14. Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38-49.
15. Galiana L, Aguilar S, Lázaro A (2013) An assessment of the effects of forest-related policies upon wildland fres in the European Union: applying the subsidiarity principle. Forest Policy Econ 29:36-44.
16. Garcia CV, Woodard P, Titus S, et al. (1995) A logit model for predicting the daily occurrence of human caused forest-fres. Int J Wildland Fire 5:101-11.
17. Gavin J, Haberman S, Verrall R (1993) Moving weighted average graduation using kernel estimation. Insur Mathem Econ 12:113-26.
18. Genton MG, Butry DT, Gumperta M, et al. (2006) Spatio-temporal analysis of wildfre ignitions in the St. Johns River water management district. Int J Wildland Fire 15:87-97.
19. Gianni B P, Zumbrunnen T, Bürgi M, et al. (2013) Fire regime shifts as a consequence of fre policy and socio-economic development: an analysis based on the change point approach. Forest Policy Econ 29:7-18.
20. Grala K, Cooke WH III (2010) Spatial and temporal characteristics of wildfres in Mississippi, USA. Int J Wildland Fire 19:14-28.
21. Gralewicz NJ, Nelson TA, Wulder MA (2012) Spatial and temporal patterns of wildfre ignitions in Canada from 1980 to 2006. Int J Wildland Fire 21:230-42.
22. Guo FT, Hu HQ, Sun L, et al. (2011) Spatial patterns of lightning-ignited forest fres in Daxing'an mountains, Heilongjiang Province, China, 1973-1997. Adv Mat Res 183-185:2268-74.
23. Hosmer DW, Lemeshow S (2000) Applied Logistic Regression. New York: Wiley.
24. Jiang H, Apps MJ, Peng CH, et al. (2002) Modelling the infuence of harvesting on Chinese boreal forest carbon dynamics. Forest Ecol Manag 169:65-82.
25. Jiménez-valverde A (2012) Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling. Global Ecol Biogeogr 21:498-507.
26. Joanne H, Martin O (2009) Weather-Based Estimation of Wildfre Risk. SFB 649 discussion paper 2009; No. 2009, 032.
27. Koutsias N, Kalabokidis KD, Allgöwer B (2004) Fire occurrence patterns at landscape level: beyond positional accuracy of ignition points with kernel density estimation methods. Nat Resour Model 17:359-76.
28. Kuter N, Yenilmez F, Kuter S (2011) Forest fre risk mapping by kernel density estimation. Croat J For Eng 32:599-610.
29. Lafon CW, Grissino-Mayer HD (2007) Spatial patterns of fre occurrence in the central Appalachian Mountains and implications for wildland fre management. Phys Geog 28:1-20.
30. Legendre P, Legendre L (1998) Numerical Ecology. Amsterdam: Elsevier, 723.
31. Liu ZH, Yang J, Chang Y, et al. (2012) Spatial patterns and drivers of fre occurrence and its future trend under climate change in a boreal forest of Northeast China. Glob Change Biol 18:2041-56.
32. Lozano FJ, Suárez-Seoane S, de Luis E (2007) Assessment of several spectral indices derived from multi-temporal landsat data for fre occurrence probability modelling. Remote Sens Environ 107:533-44.
33. Martínez J, Vega-Garcia C, Chuvieco E (2009) Human-caused wildfre risk rating for prevention planning in Spain. J Environ Manage 90:1241-52.
34. Nielsen DR, Wendroth O (2003) Spatial and temporal statistics. Sampling feld soils and their vegetation. In Nielsen DR, Wendroth O (eds). Geo Ecology Textbook. Reiskirchen: Catena.
35. Padilla M, Vega-Garcia C (2011) On the comparative importance of fre danger rating indices and their interaction with spatial and temporal fre occurrences in Spain. Int J Wildland Fire 20:46-58.
36. Peterson CJ, Squiers ER (1995) An unexpected change in spatial pattern across 10 years in an Aspen-White Pine forest. J Ecol 83:847-55.
37. Podur J, Martell DL, Csillag F (2003) Spatial patterns of lightning-caused forest fres in Ontario, 1976-1998. Ecol Model 164:1-20.
38. Prestemon JP, Butry DT (2005) Time to burn: modeling wildland arson as an autoregressive crime function. Am J Agric Econ 87:756-70.
39. Stoyan D, Penttinen A (2000) Recent applications of point process methods in forestry statistics. Stat Sci 15:61-78.
40. State Forestry Administration (2009) China Forest Resources Report-The seventh national forest resources inventory. Beijing, China: State Forestry Administration.
41. Syphard AD, Radeloff VC, Keeley JE, et al. (2007) Human infuence on California fre regimes. Ecol Appl 17:1388-402.
42. Tian XR, Su LF, Zhao FJ, et al. (2011) Future impacts of climate change on forest fre danger in northeastern China. J Forestry Res 22:437-46.
43. Venables WN, Ripley BD (1999) Modern Applied Statistics With S-Plus. New York: Springer Press, 500.
44. Vilar L, Woolford DG, Martell DL, et al. (2010) A model for predicting human-caused wildfre occurrence in the region of Madrid, Spain. Int J Wildland Fire 19:325-37.
45. Wotton BM, Nock CA, Flannigan MD (2010) Forest fre occurrence and climate change in Canada. Int J Wildland Fire 19:253-71.
46. Zhong MH, Fan WC, Liu TM, et al. (2003) Statistical analysis on current status of China forest fre safety. Fire Safety J 38:257-69.
47. Xu CH, Li ZD, Qiu Y (1997) Fire disturbance history in virgin forest in northern region of Daxing'anling Mountains. Acta Ecologica Sinica 17:3-9.