Applying Multivariate Statistical Methods for Predicting Pinus Forest Fire Danger at Bidoup-Nui Ba National Park

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  • Authors: Le Van Huong1, Nguyen Ngoc Kieng2, Nguyen Dang Hoi3, Dang Hung Cuong3,4
  • Affiliations:
    1. Bidoup-Nui Ba National Park, Danhim Village, Lacduongdictrist, Lamdong Province, Vietnam
    2. Hochiminh University of agriculture and forestry, Ho Chi Minh, Vietnam
    3. Vietnam – Russia Tropical Center, Ha Noi, Vietnam
    4. Southern Federal University, Russia, Rostov-on-Don, Russia
  • Issue: No. 1 (13) (2020)
  • Section: Biodiversity research and environmental monitoring
  • Pages: 45–53
  • Keywords: Bidoup-Nui Ba, canonical correlation analysis, discriminant function analysis, Fisher classification function, models of predicting forest fire danger
  • DOI: 10.21072/eco.2021.13.05
  • UDC: 614.84:253(597)
  • EDN: UHTEEF
  • Published: Mar 11, 2020
  • Views: 153 Downloads: 76
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Le Van Huong, Nguyen Ngoc Kieng, Nguyen Dang Hoi, Dang Hung Cuong. Applying Multivariate Statistical Methods for Predicting Pinus Forest Fire Danger at Bidoup-Nui Ba National Park. Proceedings of the T.I.Vyazemsky Karadag Scientific Station - Nature Reserve of the Russian Academy of Sciences, 2020, no. 1 (13), pp. 45-53. https://doi.org/10.21072/eco.2021.13.05

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Abstract

The paper presents results of applying multivariate statistical methods (CCA: canonical correlation analysis and DFA: discriminant function analysis) for determining canonical correlation between a set of variables {T, H, m1, K} and a set of variables {Pc, Tc} (T: temperature, H: relative humidity, m1: mass of dry fuels, K: burning coefficient, K = m1/M, with M: total mass of fire fuels, Pc: % burned fuels and Tc: burningtime) as well as through results of discriminant function analysis DFA to set up models of predicting forest fire danger at Bidoup - Nui Ba National Park. From research data in November, December, January, February and March in the period of 2015-2017 from 340 sampling plots (each 2mx2m), at Bidoup - Nui Ba National Park, we carry on data processing on Excel (calculating) and Statgraphics (multivariate statistical methods: CCA&DFA). Three results were revealed from our analysis: (i) Canonical correlation between a set of variables {T, H, m1, K} and a set of variables {Pc, Tc} is highly significant (R = 0.675581 & P = 3.17*10-58<< 0.05); therefore, we can use a set of variables {T, H, m1, K} in models of predicting forest fire danger, (ii) Coefficients of standardized & unstandardized canonical discriminant functions (SCDF &UCDF) and Fisher classification function (FCF) are determined, (iii) Setting up two models of predicting forest fire danger (Mahalanobis distance model & Fisher classification function model).

Keywords: Bidoup-Nui Ba, canonical correlation analysis, discriminant function analysis, Fisher classification function, models of predicting forest fire danger

Authors

Le Van Huong

PhD, director

Bidoup-Nui Ba National Park, Danhim Village, Lacduongdictrist, Lamdong Province, Vietnam
Nguyen Ngoc Kieng

D. Sc.

Hochiminh University of agriculture and forestry, Ho Chi Minh, Vietnam
Nguyen Dang Hoi

PhD, director

Vietnam – Russia Tropical Center, Ha Noi, Vietnam
Dang Hung Cuong

Master of Geography, researcher

Vietnam – Russia Tropical Center, Ha Noi, Vietnam / Southern Federal University, Russia, Rostov-on-Don, Russia

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