globalchange  > 气候减缓与适应
DOI: 10.1080/19475705.2019.1615559
WOS记录号: WOS:000474740600001
论文题名:
Probabilistic modelling of wildfire occurrence based on logistic regression, Niassa Reserve, Mozambique
作者: Sozinho Nhongo, Eufrasio Joao1,2; Fontana, Denise Cybis2; Guasselli, Laurindo Antonio2; Bremm, Carolina3
通讯作者: Sozinho Nhongo, Eufrasio Joao
刊名: GEOMATICS NATURAL HAZARDS & RISK
ISSN: 1947-5705
EISSN: 1947-5713
出版年: 2019
卷: 10, 期:1, 页码:1772-1792
语种: 英语
英文关键词: Miombo vegetation ; wildland fire ; forest fire ; fire risk ; spatial patterns ; MODIS
WOS关键词: FOREST-FIRE OCCURRENCE ; SPATIAL-PATTERNS ; CLIMATE-CHANGE ; SIERRA-NEVADA ; BURNT AREA ; PREDICTION ; VEGETATION ; IGNITION ; CHINA ; RISK
WOS学科分类: Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向: Geology ; Meteorology & Atmospheric Sciences ; Water Resources
英文摘要:

Fires are one of the main factors for disturbances in Niassa Reserve-Mozambique, with economic and environmental impacts. There are cyclical records of fire occurrences across the reserve. However, studies on the main causative factors and identification of more susceptible locations are very limited. In this perspective, this study had as objectives: (1) determine the main significant factors for wildfire occurrences; (2) Map the probability of wildfire occurrences, using logistic regression. Independent variables included vegetation index (NDVI), climatic, topographic and socioeconomic data. The analysis period was from 2001 to 2015 and comprised the months with more occurrences of wildfire (May to December). According to the results, the main factors that determine the occurrence of fires were: NDVI, temperature, elevation, followed by precipitation, slope, relative humidity and human settlements. The spatial distribution of probability of fire occurrence reveals that zones with high and very high risk are located at the west and central west zones (areas with higher accumulation of dry biomass); medium risk zones are located in the centre of the reserve, while in central east and east zones the probability of fire occurrence is low and very low risk. Results showed that the expectation of wildfire ignition using logistic regression presented good precision (area under the curve 74%).


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/126429
Appears in Collections:气候减缓与适应

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作者单位: 1.Zambezi Univ, Fac Environm Engn & Nat Resources, Chimoio, Mozambique
2.Univ Fed Rio Grande do Sul, State Ctr Res Remote Sensing & Meteorol, Porto Alegre, RS, Brazil
3.Secretariat Agr Livestock & Irrigat, Dept Diag & Agr Res, Porto Alegre, RS, Brazil

Recommended Citation:
Sozinho Nhongo, Eufrasio Joao,Fontana, Denise Cybis,Guasselli, Laurindo Antonio,et al. Probabilistic modelling of wildfire occurrence based on logistic regression, Niassa Reserve, Mozambique[J]. GEOMATICS NATURAL HAZARDS & RISK,2019-01-01,10(1):1772-1792
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