基于林分高度及郁闭度的森林生物量和蓄积量模型研究
收稿日期: 2020-12-14
修回日期: 2021-02-03
网络出版日期: 2021-06-03
基金资助
2020年行业管理专项业务经费“陆地碳卫星星机地综合实验”(2020-21-89**);国家林草局自主研发计划项目“航空和背包激光雷达空地耦合的森林资源调查监测关键技术研究及示范应用”(LC-1-01)
Research on Forest Biomass and Stock Volume Model Based on Stand Height and Canopy Density
Received date: 2020-12-14
Revised date: 2021-02-03
Online published: 2021-06-03
随着激光雷达和立体影像航天航空遥感技术的快速发展,目前,我国虽然具备了快速获得林分平均高、郁闭度等相关信息的能力,但缺少利用林分平均高和郁闭度来准确估测森林生物量和蓄积量的模型,这严重影响了激光雷达和立体影像航天航空遥感技术的推广应用。为了对模型的构建进行探研,利用湖南湘西地区地面调查数据中52块杉木样地的林分平均高、郁闭度、株数等数据,通过因子变量组合不同的自变量形式,并分别构建多个不同函数形式的杉木地上生物量、蓄积量反演模型,用决定系数R2对模型进行评价。结果表明,基于杉木林分平均高、郁闭度构建的因子变量组合与地上生物量、蓄积量之间有紧密的联系。其中:以e为底数的对数形式变量ln(C×HH2)作为解释变量的杉木地上生物量模型、蓄积量模型拟合效果最佳;指数函数模型能够精确地表达自变量与地上生物量、蓄积量之间的关系;与一次函数模型、幂函数模型、对数函数模型相比,指数函数模型的拟合效果更佳。对杉木林分平均高、林分郁闭度与地上生物量、蓄积量之间的关系进行了有效探究,构建了杉木地上生物量模型、蓄积量模型,以期为建立林分平均高和郁闭度因子估测其它树种的地上生物量和蓄积量模型提供参考依据。
吴发云 , 高显连 , 周蓉 , 王鹏杰 , 付安民 . 基于林分高度及郁闭度的森林生物量和蓄积量模型研究[J]. 林草资源研究, 2021 , 0(2) : 61 -67 . DOI: 10.13466/j.cnki.lyzygl.2021.02.009
With the rapid development of LiDAR and stereo image space aerial remote sensing technology,although China has the ability to quickly obtain the information of average stand height and canopy density,there is a lack of models to accurately estimate the biomass and volume of forest,which seriously affects the popularization and application of the technologies.In order to explore the construction of the model,the average stand height,canopy density and plant number of 52 Chinese fir sample plots from the ground survey data in Xiangxi area of Central China's Hunan Province are used to construct several inversion models of Chinese fir aboveground biomass and volume in different function forms through different independent variables,and the model is evaluated by the coefficient of determination R2.The results show that the combination of factor variables based on average stand height and canopy density is closely related to aboveground biomass and volume.Among them,the above ground biomass model and volume model of Chinese fir with e as the base logarithmic variable ln(C×HH2)as the explanatory variable have the best fitting effect;the exponential function model can accurately show the relationship between the independent variable and aboveground biomass and volume.Compared with the linear function model,power function model and logarithmic function model,the exponential function model has better fitting effect.Such methods prove effective to explore the relationship among average stand height,canopy density and aboveground biomass and volume of Chinese fir.The aboveground biomass model and volume model of Chinese fir are constructed in order to provide reference for establishing the aboveground biomass and volume model for other tree species estimated by average stand height and canopy density factors.
| [1] | 何祺胜, 陈尔学, 曹春香, 等. 基于LIDAR数据的森林参数反演方法研究[J]. 地球科学进展, 2009,24(7):748-755. |
| [2] | 方精云, 陈安平, 赵淑清, 等. 中国森林生物量的估算:对Fang等Science一文(Science,2001,291:2320~2322)的若干说明[J]. 植物生态学报, 2002(2):243-249. |
| [3] | Post W M, Emanuel W R, Zinke P J. Soil carbon pools and world life zones[J]. Nature, 1982(298):156-159. |
| [4] | 张志, 田昕, 陈尔学, 等. 森林地上生物量估测方法研究综述[J]. 北京林业大学学报, 2011,33(5):144-150. |
| [5] | 张凝, 冯仲科, 冯跃文, 等. 旺业甸实验林场针叶林蓄积量估测模型的研究[J]. 中南林业科技大学学报, 2013,33(11):83-87. |
| [6] | 赵匡记, 王利东, 王立军, 等. 华北落叶松蓄积量及生产力研究[J]. 北京林业大学学报, 2015,37(2):24-31. |
| [7] | 赵峰, 李增元, 王韵晟, 等. 机载激光雷达(LiDAR)数据在森林资源调查中的应用综述[J]. 遥感信息, 2008(1):106-110. |
| [8] | 庞勇, 李增元, 陈尔学, 等. 激光雷达技术及其在林业上的应用[J]. 林业科学, 2005(3):129-136. |
| [9] | Hu Yang, Wu Fayun, Sun Zhongqiu, et al. The Laser Vegetation Detecting Sensor:A Full Waveform,Large-Footprint,Airborne Laser Altimeter for Monitoring Forest Resources[J]. Sensors, 2019,19(7):1699;doi: 10.3390/S19071699. |
| [10] | 吴发云, 高显连, 潘超, 等. 机载林业探测大光斑激光雷达系统的设计与应用[J]. 林业资源管理, 2018(4):125-132. |
| [11] | 庞勇, 李增元. 基于机载激光雷达的小兴安岭温带森林组分生物量反演[J]. 植物生态学报, 2012,36(10):1095-1105. |
| [12] | 马利群, 李爱农. 激光雷达在森林垂直结构参数估算中的应用[J]. 世界林业研究, 2011,24(1):41-45. |
| [13] | 邢艳秋, 尤号田, 霍达, 等. 小光斑激光雷达数据估测森林树高研究进展[J]. 世界林业研究, 2014,27(2):29-34. |
| [14] | 穆喜云, 张秋良, 刘清旺, 等. 基于激光雷达的大兴安岭典型森林生物量制图技术研究[J]. 遥感技术与应用, 2015,30(2):220-225. |
| [15] | 罗洪斌, 舒清态, 庞勇, 等. 运用机载LiDAR数据对橡胶林地上生物量估测的采样尺度效应分析[J]. 林业资源管理, 2020(1):136-142. |
| [16] | Persson H J, Perko R. Assessment of boreal forest height from WorldView-2 satellite stereo images[J]. Remote Sensing Letters, 2016,7(12):1150-1159. |
| [17] | 倪文俭, 张大凤, 汪垚, 等. 高分二号异轨立体数据的森林高度提取[J]. 遥感学报, 2018,22(3):392-399. |
| [18] | Neigh C, Masek J, Bourget P, et al. Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR[J]. Remote Sensing, 2014,6(3):1762-1782. |
| [19] | 卢振龙, 龚孝生. 灌木生物量测定的研究进展[J]. 林业调查规划, 2009,34(4):37-40. |
| [20] | 符利勇, 雷渊才, 孙伟, 等. 不同林分起源的相容性生物量模型构建[J]. 生态学报, 2014,34(6):1461-1470. |
| [21] | 王文栋, 白志强, 阿里木·买买提, 等. 天山林区6种优势种灌木林生物量比较及估测模型[J]. 生态学报. 2016,36(9):2695-2704. |
| [22] | 罗永开, 方精云, 胡会峰. 山西芦芽山14种常见灌木生物量模型及生物量分配[J]. 植物生态学报, 2017,41(1):115-125. |
/
| 〈 |
|
〉 |