Study on Forest Biomass and Carbon Sequestration Survey in Liaoning Province Based on RS and Genomic Models

Abstract

Abstract: The mechanism of RS model of forest biomass and carbon sequestration is analysed in the paper.Using the 7th continuous forest inventory plot data in Liaoning Province in the year of 2005 and computing the correlative coefficient between ground data and RS data,derivative,meteorological,genomic and stand information,the multivariate regression models are built and analysed.The results show that:(1)There are significant correspondences between biomass and NVDIs,in which the top-down rank is NVDI_AVER,NVDI_AMD,NVDI_MAX,NVDI_MIN,NVDI_CHA in their correlative coefficients with biomass separately.The meteorological factors that have significant correspondences with the biomass are relative evaporation,average temperature and total temperature(>10°C),the coefficients are 0.422,0.399,and 0.394 respectivly.The correlative coefficient of topography data is obvious except slope and latitude;(2)Estimation of forest biomass is 255.774 ×10⁶ t and carbon reserve is 127.887×10⁶t by the RS &genomic model in Liaoning province;(3)Carbon density is not high overall,the average is smaller than 50t/hm²,the density is higher in the east than west in spacial distribution in Liaoning province.

Key words: forest biomass, carbon sequestration, NDVI, regression model, MODIS

CLC Number:

TP79
S711.8

WANG Xuejun, SUN Yujun. Study on Forest Biomass and Carbon Sequestration Survey in Liaoning Province Based on RS and Genomic Models[J]. FOREST RESOURCES WANAGEMENT, 2011, (1): 100-105.

References

[1] 徐新良,曹明奎.森林生物量估算与应用分析[J].地球信息科学,2006,8(4):122-128.
[2] 夏朝宗,熊利亚,庄大方,等.基于MODIS的陆地植被光合过程参数反演研究[J].地理科学进展,2004,23(4):10-17.
[3] 方精云,郭兆迪,朴世龙,等.1981—2000 年中国陆地植被碳汇的估算[J].地球科学,2007,37(6):804-811.
[4] Ha me T,Salli A,Andersson K,et a1.A new methodology for the estimation of biomass of conifer-dominated boreal forest using NOAA AVHRR data[J].Remote Sensing,1997,18(15):3211-3243.
[5] Lefsk Y M A,Harding D,Cohen W B,et al.Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland,US A[J].Remote Sens.Environ.,1999,6(7):83-98.
[6] Myneni R B,Dong J,Tucker C J,et al.A large carbon sink in the woody biomass of Northern forests,Remote Sens.PNAS,2001,98(26):14784-14789.
[7] Dong J R,Kaufmann R K,Myneni R B,et a1.Remote sensing estimates of boreal and temperate forest woody biomass:carbon pools,sources and sinks[J].Remote Sens.Environ.,2003,84:393-410.
[8] Hame T,Salli A,Andersson K,et al.A new methodology for the estimation of biomass of conifer-dominated boreal forest using NOAA AVHRR data[J].Int.J.Remote Sensing,1997,18(15):3211-3243.
[9] 杨存建,刘纪远,黄河,等.热带森林植被生物量与遥感地学数据之间的相关性分析[J].地理研究,2005,24(3):471-479.
[10] 陈传国,朱俊风.东北主要林木生物量参考手册[M].北京:中国林业出版社,1989.
[11] 刘国华,傅伯杰,方精云.中国森林的碳动态及对全球碳平衡的贡献[J].植物生态学报,2000,20(5):733-740.
[12] 王雪军,黄国胜,孙玉军,等.近20年辽宁省森林碳储量及其动态变化[J].生态学报,2008,28(10):4757-4764.
[13] 赵敏,周广胜.基于森林资源清查资料的生物量估算模式及其发展趋势[J].应用生态学报,2004,8(15):1468-1472.
[14] 孙玉军,张俊,韩爱惠,等.兴安落叶松幼中龄林的生物量与碳汇功能研究[J].生态学报,2007,27(5):1756-1762.
[15] 方精云,刘国华,徐嵩龄.我国森林植被的生物量和净生产量[J].生态学报,1996,16(5):497-508.
[16] 王效科,冯宗炜,欧阳志云.中国森林生态系统植物碳储量和碳密度研究[J].应用生态学报,2001,12(1):13-16.