Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data

doi:10.12302/j.issn.1000-2006.201910023

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (1): 205-211.doi: 10.12302/j.issn.1000-2006.201910023

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Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data

CUI Yang(), DI Haiting, XING Yanqiu^*(), CHANG Xiaoqing, SHAN Wei

Center for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, China

Received:2019-10-23 Accepted:2019-12-29 Online:2021-01-30 Published:2021-02-01
Contact: XING Yanqiu E-mail:cuiyang@nefu.edu.cn;yanqiuxing@nefu.edu.cn

Abstract

Abstract:

【Objective】 Heilongjiang Province is one of the most important forestry provinces in China, and it is also one of the areas most seriously damaged by forest fires. In this study, the forest fire point information was obtained from remote sensing data, and the temporal and spatial distribution patterns of forest fire occurrence in Heilongjiang Province in recent years was mapped, so that we could explore the laws of forest fire occurrence. 【Method】 Based on the MCD64A1 data set of fire traces from the Moderate-resolution Imaging Spectroradiometer (MODIS) remote sensing images from 2001 to 2018 in Heilongjiang Province, we extracted the forest fire point information. Then, we combined it with historical fire record data, the normalized difference vegetation index (NDVI), forest type, a digital elevation model (DEM), and other data to study the temporal and spatial distributions of forest fires in Heilongjiang Province. We used the GIS spatial analysis and statistical analysis methods. 【Result】 The number of forest fires and the burned area in Heilongjiang Province fluctuated between 2001 and 2018, overall, the number of forest fires decreased. The number of fires was the highest in 2002, the burned area was the largest in 2003, and the burned area was the smallest in 2008. Spring and autumn were the most frequent periods of forest fires, and there were almost no fires in winter. The spatial distribution of forest fires was heterogeneous. Heihe City had the largest forest fire-burned area out of the 13 prefecture-level administrative regions, followed by Greater Khingan Mountains Prefecture and Suihua City. Daqing City had the smallest forest fire-burned area. The fire-burned area decreased with an increase in altitude. Combined with the distribution of forest types, it was found that the highest probability of fire occurred in coniferous forests, followed by mixed forests and broad-leaved forests. 【Conclusion】 The MCD64A1 data set of fire traces can extract fire information more accurately. By combining it with the vegetation type and elevation information, we identified the temporal and spatial laws of forest fire occurrence in Heilongjiang Province, which provide an important scientific basis for regional forest fire fighting and early warning monitoring.

Key words: forest fire, temporal and spatial distribution, Moderate-resolution Imaging Spectroradiometer(MODIS), MCD64A1, Heilongjiang Province

CLC Number:

S762.1

CUI Yang, DI Haiting, XING Yanqiu, CHANG Xiaoqing, SHAN Wei. Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(1): 205-211.

Figures/Tables 4

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Table 1

References 27

[1]	朱教君, 刘足根. 森林干扰生态研究[J]. 应用生态学报, 2004,15(10):1703-1710.
	ZHU J J, LIU Z G. A review on disturbance ecology of forest[J]. Chin J Appl Ecol, 2004,15(10):1703-1710.DOI: 10.13287/j.1001-9332.2004.0356.
[2]	胡海清, 魏书精, 魏书威, 等. 气候变暖背景下火干扰对森林生态系统碳循环的影响[J]. 灾害学, 2012,27(4):37-41.
	HU H Q, WEI S J, WEI S W, et al. Effect of fire disturbance on forest ecosystem carbon cycle under the background of climate warming[J]. J Catastrophology, 2012,27(4):37-41.DOI: 10.3969/j.issn.1000-811X.2012.04.009.
[3]	OLIVEIRA S, OEHLER F, SAN-MIGUEL-AYANZ J, et al. Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest[J]. For Ecol Manag, 2012,275:117-129.DOI: 10.1016/j.foreco.2012.03.003.
[4]	WU Z W, HE H S, YANG J, et al. Relative effects of climatic and local factors on fire occurrence in boreal forest landscapes of northeastern China[J]. Sci Total Environ, 2014,493:472-480.DOI: 10.1016/j.scitotenv.2014.06.011. doi: 10.1016/j.scitotenv.2014.06.011 pmid: 24960228
[5]	CHANG Y, ZHU Z L, FENG Y T, et al. The spatial variation in forest burn severity in Heilongjiang Province,China[J]. Nat Hazards, 2016,81(2):981-1001.DOI: 10.1007/s11069-015-2116-9.
[6]	JENKINS M J, HEBERTSON E, PAGE W, et al. Bark beetles,fuels,fires and implications for forest management in the Intermountain West[J]. For Ecol Manag, 2008,254(1):16-34.DOI: 10.1016/j.foreco.2007.09.045.
[7]	萨如拉, 周庆, 刘鑫晔, 等. 1980—2015年内蒙古森林火灾的时空动态[J]. 南京林业大学学报(自然科学版), 2019,43(2):137-143.
	SA R L, ZHOU Q, LIU X Y, et al. Studies on the spatial and temporal dynamics of forest fires in Inner Mongolia from 1980 to 2015[J]. J Nanjing For Univ (Nat Sci Ed), 2019,43(2):137-143.DOI: 10.3969/j.issn.1000-2006.20180603.
[8]	田晓瑞, 舒立福, 王明玉, 等. 大兴安岭林火特征分析[J]. 森林防火, 2008 (2):20-21.
	TIAN X R, SHU L F, WANG M Y, et al. Analysis of forest fire characteristics in Daxing’an Mountains[J]. Forest Fire Prevention, 2008 (2):20-21. DOI: 10.3969/j.issn.1002-2511.2008.02.010.
[9]	WASTL C, SCHUNK C, LEUCHNER M, et al. Recent climate change:long-term trends in meteorological forest fire danger in the Alps[J]. Agric For Meteorol, 2012,162/163:1-13.DOI: 10.1016/j.agrformet.2012.04.001.
[10]	张冬有, 邓欧, 李亦秋, 等. 黑龙江省1980—2005年森林火灾时空特征[J]. 林业科学, 2012,48(2):175-179.
	ZHANG D Y, DENG O, LI Y Q, et al. Temporal and spatial characteristics of forest fires in Heilongjiang Province between 1980 and 2005[J]. Sci Silvae Sin, 2012,48(2):175-179.DOI: 10.11707/j.1001-7488.20120227.
[11]	杨广斌, 唐小明, 宁晋杰, 等. 北京市1986—2006年森林火灾的时空分布规律[J]. 林业科学, 2009,45(7):90-95.
	YANG G B, TANG X M, NING J J, et al. Spatial and temporal distributions pattern of forest fire occurred in Beijing from 1986 to 2006[J]. Sci Silvae Sin, 2009,45(7):90-95.DOI: 10.3321/j.issn:1001-7488.2009.07.015.
[12]	刘柯珍, 舒立福, 赵凤君, 等. 基于卫星监测热点的林火分布及发生预报模型[J]. 林业工程学报, 2017,2(4):128-133.
	LIU K Z, SHU L F, ZHAO F J. et al. Research on spatial distribution of forest fire based on satellite hotspots data and forecasting model[J]. J Fore Eng, 2017,2(04), 128-133 DOI: 10.13360/j.issn.2096-1359.2017.04.021.
[13]	李福堂. 基于EOS/MODIS的森林火灾监测模型及应用研究[D]. 武汉:华中科技大学, 2005.
	LI F T. Forest fire monitoring model and application research based on EOS/MODIS[D]. Wuhan: Huazhong University of Science and Technology, 2005.
[14]	KAUFMAN Y J, JUSTICE C O, FLYNN L P, et al. Potential global fire monitoring from Eos-MODIS[J]. J Geophys Res, 1998,103(D24):32215-32238.DOI: 10.1029/98jd01644.
[15]	贾旭, 高永, 魏宝成, 等. 基于MODIS数据的内蒙古地形因子对火灾分布的影响分析[J]. 北京林业大学学报, 2017,39(4):34-39.
	JIA X, GAO Y, WEI B C, et al. Impact of topographic features on the distribution of fire based on MODIS data in Inner Mongolia, northern China[J]. J Beijing For Univ, 2017,39(5):34-40.DOI: 10.13332/j.1000-1522.20170006.
[16]	贾旭, 高永, 齐呼格金, 等. 基于MODIS数据的内蒙古野火时空变化特征[J]. 中国生态农业学报, 2017,25(1):127-135.
	JIA X, GAO Y G J, QI H, et al. MODIS-based spatio-temporal distribution of wildfire in Inner Mongolia[J]. Chin J Eco-Agric, 2017,25(1):127-135.DOI: 10.13930/j.cnki.cjea.160577.
[17]	邓欧, 李亦秋, 冯仲科, 等. 基于空间Logistic 的黑龙江省林火风险模型与火险区划[J]. 农业工程学报, 2012,28(8):200-205.
	DENG O, LI Y Q, FENG Z K, et al. Model and zoning of forest fire risk in Heilongjiang Province based on spatial Logistic[J]. Trans Chin Soc Agric Eng, 2012,28(8):200-205.DOI: 10.3969/j.issn.1002-6819.2012.08.031.
[18]	靳全锋, 叶文晶, 沈培福, 等. 浙江2001—2016年露天生物质燃烧排放污染物时空格局[J]. 环境科学学报, 2019,39(1):259-269.
	JIN Q F, YE W J, SHEN P F, et al. Temporal and spatial patterns of pollutants emitted from the open biomass burning emissions in Zhejiang during 2001 to 2016[J]. Acta Sci Circumstantiae, 2019,39(1):259-269.DOI: 10.13671/j.hjkxxb.2018.0387.
[19]	金森, 胡海清. 黑龙江省林火规律研究Ⅰ.林火时空动态与分布[J]. 林业科学, 2002,38(1):88-94.
	JIN S, HU H Q. Study on forest fire regime of Heilongjiang ProvinceⅠ.Forest fire spatial and temporal dynamics and statistical distribution[J]. Sci Silvae Sin, 2002,38(1):88-94.DOI: 10.3321/j.issn:1001-7488.2002.01.014
[20]	郑琼. 黑龙江省森林火灾的时空分布规律及趋势预测[D]. 哈尔滨:东北林业大学, 2013.
	ZHENG Q. Spatial and temporal distribution pattern of forest fire occurred in Heilongjiang Province and tendency prediction[D]. Harbin:Northeast Forestry University, 2013.
[21]	周小成, 汪小钦. EOS-MODIS数据林火识别算法的验证和改进[J]. 遥感技术与应用, 2006,21(3):206-211.
	ZHOU X C and WANG X Q. Validate and improvement on arithmetic of identifying forest fire based on EOS-MODIS Data[J]. Remote Sens Technol Appl, 2006,21(3):206-211.DOI: 10.3969/j.issn.1004-0323.2006.03.007.
[22]	解伏菊, 肖笃宁, 李秀珍. 大兴安岭北坡火烧迹地森林郁闭度恢复及其影响因子[J]. 生态学报, 2007,27(3):784-792.
	XIE F J, XIAO D N, LI X Z. Forest crown density restoration and influencing factors in the burned area of northern Great Xing’an Mountains[J]. Acta Ecol Sin, 2007,27(3):879-888.DOI: 10.3321/j.issn:1000-0933.2007.03.007.
[23]	LEON J R R, VAN LEEUWEN W J D, CASADY G M. Using MODIS-NDVI for the modeling of post-wildfire vegetation response as a function of environmental conditions and pre-fire restoration treatments[J]. Remote Sens, 2012,4(3):598-621.DOI: 10.3390/rs4030598.
[24]	田晓瑞, 殷丽, 舒立福, 等. 2005—2007年大兴安岭林火释放碳量[J]. 应用生态学报, 2009,20(12):2877-2883.
	TIAN X R, YIN L, SHU L F, et al. Carbon emission from forest fires in Daxing’anling region in 2005-2007[J]. Chin J Appl Ecol, 2009,20(12):2877-2883.DOI: 10.13287/j.1001-9332.2009.0455.
[25]	王志成. 黑龙江省夏季林火发生规律研究[D]. 2006.
	WANG Z C. Study on generating regular of Heilongjiang Province summer forest fire[D]. Harbin: Northeast Forestry University, 2006.
[26]	杜永胜, 王立夫. 中国森林火灾典型案例1953-2005[M]. 北京: 中国林业出版社, 2007:65-68.
	DU Y S, WANG L F. Typical cases of forest fires in China 1953-2005[M]. Beijing: China Forestry Publishing House, 2007:65-68.
[27]	邓光葵, 文明. 城乡结合部森林火灾的特点及防治对策[J]. 西南林学院学报, 2001(3):170-179.
	DENG G C, WEN M. The characteristic and prevention countermeasure of forest fire in the transition area between town and country[J]. J Southwest For Univ, 2001(3):170-179.

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海拔/m altitude	过火面积/ ×10⁴ hm² burned area	占总火灾面积的比例/% proportion of total burned area	占各海拔面积的比例/% proportion of each altitude area	森林类型 forest type	过火面积/ ×10⁴ hm² burned area	占总火灾面积的比例/% proportion of total burned area	占各林分面积的比例/% proportion of each forest area
0~200	16.10	10.13	0.94	阔叶林broad forest	90.94	58.39	7.56
≥200~400	88.90	56.81	5.84	针叶林coniferous forest	31.93	20.51	12.89
≥400~600	50.20	31.54	5.77	混交林mixed forest	32.85	21.10	10.40
≥600~800	0.22	1.44	0.07
≥800	0.11	0.09	0.06

Spatial and temporal distributions of forest fires in Heilongjiang Province from 2001 to 2018 based on MODIS data

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