东北地区自然植被火动态特征及其对干旱的响应

于成龙; 刘丹; 何锋; 韩俊杰

doi:10.13961/j.cnki.stbctb.2019.04.002

您当前的位置：

首页 >

文章列表页 >

东北地区自然植被火动态特征及其对干旱的响应

试验研究

- 东北地区自然植被火动态特征及其对干旱的响应
- Dynamic Characteristics of Natural Vegetation Fires and Their Response to Drought in Northeast China
- 水土保持通报 2019年39卷第4期页码：9-16
- 作者机构：
  
  1. 中国气象局东北地区生态气象创新开放实验室,黑龙江,哈尔滨,150030
  2. 黑龙江省气象院士工作站,黑龙江,哈尔滨,150030
  3. 黑龙江省气象科学研究所,黑龙江,哈尔滨,150030
- 作者简介：
- 基金信息：
  
  黑龙江省自然科学基金联合引导项目"生态文明建设气象条件贡献率评价研究"（LH2019D014）;中国气象局东北地区生态气象创新开放实验室开放基金项目（stqx2018zd03）;中国气象局沈阳大气环境研究所开放基金项目（2018SYIAEZD1）
- DOI：10.13961/j.cnki.stbctb.2019.04.002
  中图分类号： S762
- 纸质出版：2019
- 稿件说明：
移动端阅览
于成龙, 刘丹, 何锋, 等. 东北地区自然植被火动态特征及其对干旱的响应[J]. 水土保持通报, 2019,39(4):9-16.

Yu Chenglong, Liu Dan, He Feng, et al. Dynamic Characteristics of Natural Vegetation Fires and Their Response to Drought in Northeast China[J]. Bulletin of Soiland Water Conservation, 2019, 39(4): 9-16.
于成龙, 刘丹, 何锋, 等. 东北地区自然植被火动态特征及其对干旱的响应[J]. 水土保持通报, 2019,39(4):9-16. DOI： 10.13961/j.cnki.stbctb.2019.04.002.

Yu Chenglong, Liu Dan, He Feng, et al. Dynamic Characteristics of Natural Vegetation Fires and Their Response to Drought in Northeast China[J]. Bulletin of Soiland Water Conservation, 2019, 39(4): 9-16. DOI： 10.13961/j.cnki.stbctb.2019.04.002.

摘要

[目的]研究2002-2017年东北地区自然植被火的发生发展及其对干旱的响应规律，从而为区域火管理、火险等级预报和森林资源保护提供科学依据。[方法]基于MODIS公开的数据产品和改进帕默尔干旱指数（scPDSI），采用统计学方法，分别季节和年际尺度，分析东北地区自然植被火动态特征，探寻其对干湿状况的响应规律。[结果]①在季节尺度上，春季和秋季是森林和草地火的多发期，草地火次数在春季和秋季呈显著增加趋势；②在年际尺度上，森林火次数以18次/a的速度呈显著下降趋势，平均过火面积呈弱上升趋势，草地火次数以36次/a的速度呈极显著上升趋势，平均过火面积呈弱下降趋势；③火次数和过火面积分别与scPDSI呈线性负相关与指数负相关；④随着干旱程度的加深，森林和草地火的平均次数和平均单次过火面积都有增加的趋势。[结论]干旱可能会增加东北地区自然植被的起火次数和单次过火面积。

Abstract

[Objective] The development law of natural vegetation fires and their response to drought in Northeast China during 2002-2017 was studied

so as to provide scientific basis for regional fire management

fire risk level prediction and forest resources protection.[Methods] Based on the published available Moderate Resolution Imaging Spectroradiometer(MODIS) satellite products and the self-calibrating Palmer drought severity index(scPDSI)data

the seasonal and interannual characteristics of fire dynamics of natural vegetation in Northeast China were analyzed by using statistical methods

and the response law of fire dynamics to dry-wet conditions was explored.[Results] On seasonal scale

most forest and grassland fires occurred in spring and autumn

and grassland fire occurrence increased significantly in these two seasons. On inter-annual scale

forest fire occurrence decreased significantly at the rate of 18 times per year and their average burnt area increased faintly. Grassland fire occurrence showed an extremely significant upward trend at the rate of 36 times per year

and their average burnt area decreased faintly. There were linear and negative correlations between fire occurrence and scPDSI. But burnt area appeared exponential and negative correlations with scPDSI. Both average fire occurrence and average burnt area per individual fire showed an increasing trend with the deepening of drought.[Conclusion] Fire occurrence and burnt area per individual fire of natural vegetation could be increased under the condition of drought.

关键词

Keywords

references

Malone S L, Kobziar L N, Staudhammer C L, et al. Modeling relationships among 217 fires using remote sensing of burn severity in southern pine forests[J]. Remote Sensing, 2011,3(9):2005-2028.

Brazhnik K, Hanley C, Shugar H H. Simulating changes in fires and ecology of the 21 st century Eurasian boreal forests of Siberia[J]. Forests, 2017,8(2):49-63.

Martín M L, Gonzalez-Vila F J, Knicker H. Distribution of black carbon and black nitrogen in physical soil fractions from soils seven years after an intense forest fire and their role as C sink[J]. Science of The Total Environment, 2018,637:1187-1196.

Saranya K R L, Reddya C S, Prasada-Rao P V V. Estimating carbon emissions from forest fires over a decade in Similipal Biosphere Reserve, India[J]. Remote Sensing Applications Society and Environment, 2016,4:61-67.

王乾坤,于信芳,舒清态.基于时间序列遥感数据的森林火烧迹地提取[J].自然灾害学报,2017,26(1):1-10.

Tansey K, Gregoire J M, Defourny P, et al. A new, global, multi-annual(2000-2007) burnt area product at 1 km resolution[J]. Geophysical Research Letters,2008,35(1):L011401.

Plummer S, Arino O, Simon M, et al. Establishing a earth observation product service for the terrestrial carbon community:The globcarbon initiative[J]. Mitigation and Adaptation Strategies for Global Change, 2006,11(1):97-111.

Chuvieco E, Yue C, Heil A, et al. A new global burned area product for climate assessment of fire impacts[J]. Global Ecology and Biogeography, 2016,25(5):619-629.

Andela N, Morton D C, Giglio L, et al. A human-driven decline in global burned area[J]. Science, 2017,356(6345):1356-1362.

Hantson S, Pueyo S, Chuvieco E. Global fire size distribution is driven by human impact and climate[J]. Global Ecology and Biogeography, 2015,24(1):77-86.

Shi Y S, Sasai T, Yamaguchi Y. Spatio-temporal evaluation of carbon emissions from biomass burning in Southeast Asia during the period 2001-2010[J]. Ecological Modelling, 2014,272(24):958-115.

Van der W G R, Randerson J T, Giglio L, et al. Global fire emissions estimates during 1997-2016[J]. Earth System Science Data, 2017,9(2):697-720.

Caccamo G, Chisholm L A, Bradstock R A, et al. Using remotely-sensed fuel connectivity patterns as a tool for fire danger monitoring[J]. Geophysical Research Letters Banner, 2012,39(1):L01302.

Spessa A C, Field R D, Pappenberger F, et al. Seasonal forecasting of fire over Kalimantan, Indonesia[J]. Natural Hazards and Earth System Sciences, 2015,15(3):5079-5111.

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.

尹赛男,舒立福,张大明,等.吉林省森林火灾火源数据特征分析[J].林业科学,2018,54(7):165-172.

潘登,张合平,潘高,等.桂西南松栎林火行为研究及碳排放计量[J].自然灾害学报,2017,26(5):51-61.

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,2012,183(8):200-205.

赵凤君.气候变化对内蒙古大兴安岭林区森林火灾的影响研究[D].北京:中国林业科学研究院,2007.

Sholihah R I, Trisasongko B H, Shiddiq D, et al. Identification of agricultural drought extent based on vegetation health indices of Landsat data:Case of Subang and Karawang, Indonesia[J]. Procedia Environmental Sciences, 2016,33:14-20.

王士君,宋飏.中国东北地区城市地理基本框架[J].地理学报,2006,61(6):574-584.

Liu Dan, Yu Chenglong, Zhao Fang. Response of the water use efficiency of natural vegetation to drought in Northeast China[J]. Journal of Geographical Sciences, 2018,28(5):611-628.

徐文铎.中国东北主要植被类型的分布与气候的关系[J].植物生态学与地植物学学报,1986,10(4):254-263.

王兆礼,李军,黄泽勤,等.基于改进帕默尔干旱指数的中国气象干旱时空演变分析[J].农业工程学报,2016,32(2):161-168.

Fusco E J, Abatzoglou J T, Balch J K, et al. Quantifying the human influence on fire ignition across the western USA[J]. Ecological Applications, 2016,26(8):2390-2401.

祖笑锋,覃先林,李增元,等.基于幂律分布的森林燃烧生物量卫星遥感估测方法[J].林业科学,2017,53(10):90-99.

王卫国,潘竟虎,冯娅娅,等.基于MODIS数据和GWLR的甘肃省火灾风险模型与区划[J].遥感技术与应用,2017,32(3):514-523.

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.

Pereira A A, Pereira J M C, Libonati R, et al. Burned area mapping in the Brazilian Savanna using a one-class support vector machine trained by active fires[J]. Remote Sensing, 2017,9(11):1161-1182.

Guindos-Rojas F, Arbelo M, García-Lázaro J R, et al. Evaluation of a bayesian algorithm to detect burned areas in the canary islands' dry woodlands and forests ecoregion using MODIS data[J]. Remote Sensing, 2018,10(5):789-810.

Giglioa L, Boschettib L, Roy D P, et al. The Collection6 MODIS burned area mapping algorithm and product[J]. Remote Sensing of Environment,2018,217:72-85.

田晓瑞,舒立福,赵凤君,等.中国主要生态地理区的林火动态特征分析[J].林业科学,2015,51(9):71-77.

李兴华,武文杰,张存厚,等.气候变化对内蒙古东北部森林草原火灾的影响[J].干旱区资源与环境,2011,25(11):114-119.

Wragg P D, Mielke T, Tilman D. Forbs, grasses, and grassland fire behaviour[J]. Journal of Ecology, 2018,106(5):1983-2001.

Johnson E A, Miyanishi k. Forest fires Behavior and Ecological Effects[M]//Nelsonn R M. Water Relations of Forest Fuels. Academic Press, 2001.

李晓炜,赵刚,于秀波,等.不同区域森林火灾对生态因子的响应及其概率模型[J].生态学报,2013,33(4):1219-1229.

Schrier V D G, Barichivich J, Briffa K R, et al. A scPDSI-based global data set of dry and wet spells for 1901-2009[J]. Journal of Geophysical Research:Atmospheres, 2013,118(10):4025-4048.

浏览量

1364

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

连续干旱对土壤水分与植物存活影响调查研究

东北地区气候资源与生态环境信息系统设计与建立

基于农户尺度的社会-生态系统对干旱的恢复力研究--以甘肃省榆中县为例

水电开发对云南省生态环境的影响及对策研究

近30a陕西省气象干旱灾害时空分布特征