[1]LI Lu,CHANG Yapeng,XU Zhonglin.Spatial Distribution Characteristics of the Biomass and Carbon Storage of Forest in Nanshan Mountain, Urumqi[J].Research of Soil and Water Conservation,2018,25(05):72-77.
Copy

Spatial Distribution Characteristics of the Biomass and Carbon Storage of Forest in Nanshan Mountain, Urumqi

References:
[1] 陈泮勤.地球系统碳循环[M].北京:科学出版社,2004.
[2] Sabine C L, Heimann M, Artaxo P, et al. Current status and past trends of the global carbon cycle.[J]. Scope, 2004,62:17-44.
[3] Fang J, Chen A, Peng C, et al. Changes in forest biomass carbon storage in China between 1949 and 1998[J]. Science, 2001,292(5525):2320-2322.
[4] Nogueira E M, Fearnside P M, Nelson B W, et al. Estimates of forest biomass in the Brazilian Amazon:New allometric equations and adjustments to biomass from wood-volume inventories[J]. Forest Ecology & Management, 2008,256(11):1853-1867.
[5] 程鹏飞,王金亮,王雪梅,等.森林生态系统碳储量估算方法研究进展[J].林业调查规划,2009,34(6):39-45.
[6] 张继平,张林波,刘春兰,等.井冈山中亚热带森林植被碳储量及固碳潜力估算[J].生态环境学报,2016,25(1):9-14.
[7] Zhou G S, Wang Y H, Jiang Y L, et al. Estimating biomass and net primary production from forest inventory data:A case study of China’s Larix forests.[J]. Forest Ecology & Management, 2002,169(1):149-157.
[8] Brown S L, Schroeder P E. Spatial patterns of aboveground production and mortality of woody biomass for eastern U. S. forest[J]. Ecological Applications, 1999,9(3):968-980.
[9] Peng S Z, Zhao C Y, Peng H H, et al. Spatial distribution of Tamarix ramosissima aboveground biomass and water consumption in the lower reaches of Heihe River, Northwest China.[J]. Chinese Journal of Applied Ecology, 2010,21(8):1940-1946.
[10] 方精云,陈安平.中国森林植被碳库的动态变化及其意义[J].植物生态学报:英文版,2001,43(9):967-973.
[11] 黄燕平,陈劲松.基于SAR数据的森林生物量估测研究进展[J].国土资源遥感,2013,25(3):7-13.
[12] 徐金发.新疆的又一颗旅游风景明珠:乌鲁木齐南山风景区[J].旅游学刊,1988(S):92-100.
[13] 张绘芳,高亚琪,朱雅丽,等.新疆雪岭杉生物量模型对比研究[J].西北林学院学报,2015,30(6):52-58.
[14] 杨伟志,赵鹏祥,薛大庆,等.基于Landsat-8影像的西宁市南北山森林生物量估测模型研究[J].西北林学院学报,2016,31(2):33-37.
[15] 郑炳松,金爱武,程晓建,等.雷竹光合特性的研究[J].森林与环境学报,2001,21(4):359-362.
[16] Zheng B, Jin A, Cheng X, et al. Study on the photosynthetic characteristics of Lei bamboo leaves[J]. Journal of Fujian College of Forestry, 2001,21(4):359-362.
[17] Waltari E, Schroeder R, Mcdonald K, et al. Bioclimatic grids-Worldclim[J]. Methods in Ecology and Evolution,2014,5(10):1033-1042.
[18] 杨存建,刘纪远,张增祥.热带森林植被生物量遥感估算探讨[J].地理与地理信息科学,2004,20(6):22-25.
[19] 杨桂元,王军.对预测模型误差的分析:相对误差与绝对误差[J].统计与信息论坛,2003,18(4):21-24.
[20] 徐天蜀.基于遥感信息的森林生物量、碳储量估测技术研究[J].林业调查规划,2008,33(3):11-13.
[21] 杨洪晓,吴波,张金屯,等.森林生态系统的固碳功能和碳储量研究进展[J].北京师范大学学报:自然科学版,2005,41(2):172-177.
[22] 牛志春,倪绍祥.青海湖环湖地区草地植被生物量遥感监测模型[J].地理学报,2003,58(5):695-702.
[23] 范文义,李明泽,杨金明.长白山林区森林生物量遥感估测模型[J].林业科学,2011,47(10):16-20.
[24] WU L, LIU X N, ZHOU B T, et al. Spatial-time continuous changes simulation of crop growth parameters with multi-source remote sensing data and crop growth model[J]. Journal of Remote Sensing, 2012,24(6):1173-1191.
[25] 彭守璋,赵传燕,郑祥霖,等.祁连山青海云杉林生物量和碳储量空间分布特征[J].应用生态学报,2011,22(7):1689-1694.
[26] 袁野,李虎,刘玉峰.基于改进型B-P神经网络的西雪岭云杉林生物量估算[J].福建师大学报:自然科学版,2011,27(2):124-132.
[27] 曾晶,张晓丽.高分一号遥感影像下崂山林场林分生物量反演估算研究[J].中南林业科技大学学报,2016,36(1):46-51.
[28] 刘芳,冯仲科,赵芳,等.资源三号遥感卫星影像的生物量反演研究[J].西北林学院学报,2015,30(3):175-181.
[29] 李丹丹.北京市森林生物量遥感反演模型研究[D].北京:北京林业大学,2013.
[30] Prentice I C, Cramer W, Harrison S P, et al. Special paper:A global biome model based on plant physiology and dominance, soil properties and climate[J]. Journal of Biogeography, 1992,19(2):117-134.
[31] Tomppo E, Nilsson M, Rosengren M, et al. Simultaneous use of Landsat-TM and IRS1-C WiFS data in estimating large area treestem volume and aboveground biomass[J]. Remote Sensing Environ, 2002,82:156-171.
[32] 徐少君,曾波,苏晓磊,等.基于RS/GIS的重庆缙云山自然保护区植被及碳储量密度空间分布研究[J].生态学报,2012,32(7):2174-2184.
[33] 李海涛,王姗娜,高鲁鹏,等.赣中亚热带森林植被碳储量[J].生态学报,2007,27(2):693-704.
[34] 徐新良,曹明奎,李克让.中国森林生态系统植被碳储量时空动态变化研究[J].地理科学进展,2007,26(6):1-10.
[35] 刘倩楠,欧阳志云,李爱农,等.重庆市森林植被生物量和碳储量的空间分布特征研究[J].水土保持研究,2016,23(6):221-226.
Similar References:

Memo

-

Last Update: 1900-01-01

Online:6181       Total Traffic Statistics:24642999

Website Copyright: Research of Soil and Water Conservation Shaanxi ICP No.11014090-10
Tel: 029-87012705 Address: Editorial Department of Research of Soil and Water Conservation, No. 26, Xinong Road, Yangling, Shaanxi Postcode: 712100