利用简易测量板估测白三叶群落地上生物量

doi:10.13287/j.1001-9332.201606.014

摘要/Abstract

摘要： 地上生物量是草地群落的一个重要指标,而直接收割法对生态系统较脆弱的地区有极大的破坏.为了更有效地估测白三叶群落地上生物量而又不破坏草地,采用自制测量板对陕西省杨凌区大寨镇杜寨村的白三叶群落高度和地上生物量进行了研究.采用铝塑板和高分子板不同规格的17种测量板,将各测量板分别置于白三叶群落上方,记录测量板下方到地面的植物群落高度,重复20次,然后将测量板下方对应面积内的植物齐地面刈割,烘干后,称量得到地上生物量,最后进行数学模型建立、相关性分析,并对模型进行验证.结果表明: 以测量板下方群落高度为自变量,对应面积内群落地上生物量为因变量,建立多种回归方程,群落高度和地上生物量之间呈正相关,R²为0.37～0.76;铝塑板与高分子板相比,其测量得到的生物量变异系数和建立的回归方程决定系数均表现较好,精度较高;最佳测量板为直径35 cm的圆形铝塑板,其最优估测模型为: y=1.6460x-3.3462 (R²=0.76),预测精度达到92.1%.

关键词: 估测模型, 植物群落高度, 测量板, 地上生物量

Abstract: Aboveground biomass is an important indicator of grassland community. Direct harvesting has a great damage to the fragile ecosystem. In order to estimate the aboveground biomass of Trifolium repens community more effectively without destroying herbaceous community, various handmade measuring plates were used to study the community height and aboveground biomass of T. repens community in Duzhai Village, Dazhai Town, Yangling Zone, Shaanxi Province. Measuring plates used for trials were made of 17 kinds of specifications of aluminum-plastic and polymer plates. The plate was laid flat on the community crown, the height of plant community from ground level to the plate was measured and recorded, and measurements were repeated 20 times for each specification of plate. Then the plants of whole areal part below the measuring plate were cut to ground level from the corresponding quadrat, and the biomass was obtained after oven-drying and weighing. Finally, the modeling and correlation analysis were made, and the best estimate model was verified. The results showed that multiple regression equations were established with aboveground biomass of corresponding area as dependent variable, and community height below the measuring plate as indepen-dent variable. The independent variable was positively correlated with the dependent variable, and the determination coefficients, R², ranged from 0.37 to 0.76. Compared with the polymer plates, the aluminum-plastic plates performed better on coefficients of variation of biomass, determination coefficients of regression equations, R², and degree of accuracy. The best measuring plate was circular aluminum-plastic plate with diameter of 35 cm, and its best regression model was y=1.6460x-3.3462, where the R² was 0.76 and the prediction accuracy was 92.1%.

Key words: plant community height, measuring plate., aboveground biomass, estimate model

王玉霞，梁卫卫，陈俊, 关青青，魏志成，白慧敏，冯兆佳. 利用简易测量板估测白三叶群落地上生物量[J]. 应用生态学报, 2016, 27(6): 1886-1892.

WANG Yu-xia, LIANG Wei-wei, CHEN Jun, GUAN Qing-qing, WEI Zhi-cheng, BAI Hui-min, FENG Zhao-jia. Estimating aboveground biomass of Trifolium repens community using measuring plates.[J]. Chinese Journal of Applied Ecology, 2016, 27(6): 1886-1892.

参考文献

[1] Yang T-T (杨婷婷). Study on Biomass Dynamics and Carbon Storage Distribution in Desert Steppe: Taking Sonid Youqi as an Example. PhD Thesis. Huhhot: Inner Mongolia Agricultural University, 2013 (in Chinese)
[2] Gonzalez P, Battles JJ, Collins BM, et al. Aboveground live carbon stock changes of California wildland ecosystems, 2001-2010. Forest Ecology and Management, 2015, 348: 68-77
[3] Scurlock JMO, Hall DO. The global carbon sink: A grassland perspective. Global Change Biology, 1998, 4: 229-233
[4] Wang X-P (王小平), Guo N (郭铌), Zhang K (张凯), et al. Hyperspectral remote sensing estimation models for aboveground biomass of grassland in pastoral areas of Gannan. The Twenty-seventh Annual Meeting of China Meteorological Society, Beijing, 2010: 1-9 (in Chinese)
[5] Liang C-Z (梁存柱), Zhu T-C (祝廷成), Wang D-L (王德利), et al. Prospect of grassland ecology in China at the beginning of the 21st century. Chinese Journal of Applied Ecology (应用生态学报), 2002, 13(6): 743-746 (in Chinese)
[6] Du X (杜鑫), Meng J-H (蒙继华), Wu B-F (吴炳方). Overview on monitoring crop biomass with remote sensing. Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2010, 30(11): 3098-3102 (in Chinese)
[7] Liu A (刘艾), Liu D-F (刘德福). Summary of grassland biomass research in China. Inner Mongolia Prataculture (内蒙古草业), 2005, 17(1): 7-11 (in Chinese)
[8] Bing L-F (邴龙飞), Shao Q-Q (邵全琴), Wang Y-B (王军邦), et al. Grassland biomass heterogeneity and error analysis of sample cycle sampling space. Acta Agrectia Sinica (草地学报), 2012, 20(2): 257-267 (in Chinese)
[9] Qu C-P (渠翠平), Guan D-X (关德新), Wang A-Z (王安志), et al. Comparison of grassland biomass estimation model based on MODIS data. Chinese Journal of Ecology (生态学杂志), 2008, 27(11): 2028-2032 (in Chinese)
[10] Ran A-C (任安才). Study on the Relationship between Litang Grassland Biomass and Vegetation Index based on TM Image. PhD Thesis. Chengdu: Sichuan Agricultural University, 2008 (in Chinese)
[11] Wang D-W (王德旺), Sheng J-D (盛建东), Liu Y-H (刘耘华), et al. Grassland biomass distribution characteristics and impact factors of Tianshan Mountain. Pra-tacultural Science (草业科学), 2014, 31(1): 125-131 (in Chinese)
[12] Yu H (于惠), Feng Q-S (冯琦胜), Chen S-Y (陈思宇), et al. Dynamic monitoring of grassland biomass in Gannan based on Microwave vegetation index. Journal of Lanzhou University (Natural Science) (兰州大学学报:自然科学版), 2011, 47(4): 69-74 (in Chinese)
[13] Wang X-Z (王兮之), Du G-Z (杜国桢), Liang T-G (梁天刚), et al. Establishment of productivity estimation model of grassland in Gannan based on RS and GIS. Acta Prataculturae Sinica (草业学报), 2001, 10(2): 95-102 (in Chinese)
[14] Xie YC, Sha ZY, Yu M, et al. A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China. Ecological Modelling, 2009, 220: 1810-1818
[15] Zhou L (周磊), Xin X-P (辛晓平), Li G (李刚), et al. Application progress on hyperspectral remote sensing in grassland monitoring. Pratacultural Science (草业科学), 2009, 26(4): 20-27 (in Chinese)
[16] Hao W-F (郝文芳), Chen C-G (陈存根), Liang Z-S (梁宗锁), et al. Application progress on hyperspectral remote sensing in grassland monitoring. Journal of Northwest A＆F University (Natural Science) (西北农林科技大学学报: 自然科学版), 2008, 36(2): 175-182 (in Chinese)
[17] Paruelo JM, Lauenroth WK, Roset PA. Estimating aboveground plant biomass using a photographic technique. Journal of Range Management, 2000, 53: 190-193
[18] Chen G (陈功), Wang J-W (王建伟). Spectral reflectance characteristics and aboveground biomass estimation of grassland under fencing. Journal of Yunnan Agricultural University (云南农业大学学报), 2008, 23(4): 462-467 (in Chinese)
[19] Che D-R (车敦仁), Lang B-N (郎百宁). Introduction of grass meter. Grassland of China (中国草原), 1981(2): 62-64 (in Chinese)
[20] Yang K (杨昆), Guan D-S (管东生). Sample selection and model of vegetation biomass harvest forest. Acta Ecologica Sinica (生态学报), 2007, 27(2): 705-714 (in Chinese)
[21] Kleinebecker T, Klaus V, Hlzel N. Reducing sample quantity and maintaining high-prediction quality of grassland biomass properties with near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy, 2012, 19: 495
[22] Yang YH, Fang JY, Pan YD, et al. Aboveground biomass in Tibetan grasslands. Journal of Arid Environments, 2009, 73: 91-95
[23] Ge Y-J (葛永金), Lian F-L (练发良), Wang J-F (王军峰), et al. Study on increment and biomass of artificial Liriodendron chinense, Fokienia hodginsii and Abies firma forest. Journal of Zhejiang Forestry Science and Technology (浙江林业科技), 2009, 29(4): 55-58 (in Chinese)
[24] Xin X-P (辛晓平), Zhang B-H (张保辉), Li G (李刚), et al. Temporal and spatial patterns of grassland biomass in China during 1982-2003. Journal of Natural Resources (自然资源学报), 2009, 24(9): 1582-1592 (in Chinese)
[25] Zhang R (张蓉). Preliminary study on the biomass of shrub land in forestry carbon sequestration projects. Fo-restry Construction (林业建设), 2009(6): 36-38 (in Chinese)
[26] Zhang T (张婷). CO₂ Flux of Natural Grassland in Loess Hilly Region. Master Thesis. Yangling: Graduate University of Chinese Academy of Sciences, Research Center of Soil and Water Conservation and Ecological Environment, 2012 (in Chinese)
[27] Garnier E, Navas ML. A trait-based approach to comparative functional plant ecology: Concepts, methods and applications for agroecology. Agronomy for Sustai-nable Development, 2012, 32: 365-399
[28] Luo Y (罗媛), Long X-J (龙显静), Feng S-L (冯树林), et al. Application of a falling-plate meter device on estimation of enclosed subalpine meadow pasture yield. Animal Husbandry and Feed Science (畜牧与饲料科学), 2015, 36(8): 39-41 (in Chinese)
[29] Liu G-B (刘国彬), Liang Y-M (梁一民), Jiang J (姜峻), et al. Improvement and application research on the improvement and application of the improved grass gauge. Research of Water and Soil Conservation (水土保持研究), 1996, 3(2): 136-141 (in Chinese)
[30] Shi W-L (施维林), Zhong Y-M (钟宇鸣), Cheng S-X (程思娴). Researching methods and development of plant carbon storage in urban areas. Journal of Suzhou University of Science and Technology (Natural Science) (苏州科技学院学报: 自然科学版), 2013, 30(1): 59-64 (in Chinese)
[31] Dougherty M, Burger JA, Feldhake CM, et al. Calibration and use of plate meter regressions for pasture mass estimation in an Appalachian silvopasture. Archives of Agronomy and Soil Science, 2013, 59: 305-315
[32] Liu Z (刘陟). Study of Biomass and Biomass Models of Main Shrubs in the Maowusu Sandy Land. PhD Thesis. Huhhot: Inner Mongolia Agricultural University, 2014 (in Chinese)
[33] Tang S-Z (唐守正), Zhang H-R (张会儒), Xu H (胥辉). Establishment and estimation method of the model of compatible biomass. Scientia Silvae Sinicae (林业科学), 2000, 36(1): 19-27 (in Chinese)
[34] van Dyne GM, Vogel WG, Fisser HG. Influence of small plot size and shape on range herbage production estimates. Ecology, 1963, 44: 746-759
[35] Redjadj C, Duparc A, Lavorel S, et al. Estimating herbaceous plant biomass in mountain grasslands: A comparative study using three different methods. Alpine Bo-tany, 2012, 122: 57-63
[36] Jiang J (姜峻), Liu G-B (刘国彬), Liang Y-M (梁一民). A non-destructive measuring plate for shrub biomass. Bulletin of Soil and Water Conservation (水土保持通报), 1997, 17(1): 46-49 (in Chinese)