Prediction of aboveground biomass of Leymus chinensis grassland

Abstract

Abstract: Two mathematical models were built for predicting aboveground biomass of Leymus chinensis grassland according to quantification theory.Test results showed that the correlation between predicted aboveground biomass and field survey aboveground biomass was remarkable.The multiple correlation coefficients of aboveground biomass of fresh weight and dry weight were 0.97,0.95,respectively. Of the six selected factors,including three ecological features and three vegetation features,the most important element affecting the aboveground biomass,according to their scoring ranges,was monthly rainfall before measuring.The second and third important elements were total nitrogen content of soil(depth <30cm) and monthly accumulation of temperature≥10℃ before measuring.The intensities of other factors affecting the biomass were total coverage of the community,mean height of the community and Leymus chinensis population growth state.In the models,not only the ecological features were used for the prediction,but the vegetation features were also used for the prediction.This provided a new path to predict grassland aboveground biomass accurately.

Key words: Organic materials, Cucumber, Seedling disease, Soil microorganism

CLC Number:

Q948.1

LIU Zhengen, WANG Yusheng, PAN Jiezheng, GE Jianping. Prediction of aboveground biomass of Leymus chinensis grassland[J]. cje, 2004, (4): 179-183.

References

[1] 文启孝等编著.1984.土壤有机质研究法[M].北京:农业出版社,4～9.
[2] 甘肃农业大学主编.1985.草原调查与规划[M].北京:农业出版社,106.
[3] 李月树,祝廷成.1983.羊草种群地上生物量形成规律的探讨[J].植物生态学与地植物学丛刊,7(4):289～298.
[4] 李育中,李博.1991.内蒙古锡林河流域羊草草原生物量动态的研究[J].中国草地,13(1):5～8.
[5] 刘明春,马兴祥,尹东,等.2001.天祝草甸、草原草场植被生物量形成的气象条件及预测模型[J].草业科学,18(3):65～69.
[6] 周电辉.1986.模糊数学在牧草产量预报中的应用[J].生态学报,6(1):43～52.
[7] 杨持,李永宏,燕玲.1985.羊草草原主要种群生物量与水热条件定量关系初探[A].见:中国科学院内蒙古草原生态系统定位站编.草原生态系统研究第一集[C].北京:科学技术出版社,24～37.
[8] 姜凤岐,卢凤勇.1982.小叶锦鸡儿灌丛地上生物量的预测模式[J].生态学报,2(2):103～110.
[9] 侯光良,陈沈斌,刘允芬.1989.宁夏天然草场产量与气候因子关系及人工草地产量估算[J].自然资源学报,4(1):54～59.
[10] 郭继勋,祝廷成.1994.气候因子对东北羊草草原群落产量影响的分析[J].植物学报,36(10):790～796.
[11] 贾广寿.1993.蒿属荒漠草地牧草产量动态及预测方法的探讨[J].中国草地,15(2):19～26.
[12] 黄富祥,王跃思,傅德山,等.2001.毛乌素沙地低地草甸芨芨草-盐爪爪群落地上生物量对气候因子的动态回归分析[J].草业学报,10(4):24～30.
[13] 黄富祥,高琼,傅德山,等.2001.内蒙古鄂尔多斯高原典型草原百里香-本氏针茅草地地上生物量对气候响应动态回归分析[J].生态学报,21(8):1339～1346.
[14] 董明春,张颂云,卢凤永,等.1980.数量化理论I在林木选优中的应用[J].中国科学院林业土壤研究所集刊,4:21～40.
[15] Dahl BE. 1963. Soil moisture as a predictive index to forage yield for Sandhills range type[J]. J. Range Manage., 16:128～132.
[16] Duncan DA, Woodmansee RG. 1975. Forecasting forage yield from precipitation in California's annual rangeland[J]. J. Range Manage, 28(4): 327 ～329.
[17] Murphy AH. 1970. Predicted forage yield based on fall precipitation in California annual grasslands[J]. J. Range Manage, 23:363～3651.
[18] Rosensweig ML. 1968. Net primary productivity of terrestrial communities: prediction from climatological data[J]. Am.Nat., 102:67～74.
[19] Seligman NG, van Keulen H. 1989. Herbage production of a Mediterranean grassland in relation to soil depth, rainfall and nitrogen nutrition:A simulation study[J]. Ecol. Modell.,47:303～311.
[20] Smoliak S. 1959. Influence of climatic conditions on forage production of shortgrass rangeland[J]. J. Range Manage, 9: 89～91.
[21] Stitt RE. 1958. Factors affection yield and quality of dryland grasses[J]. Agron . J ., 50:136～138.
[22] Webb WL, Lauenroth WK, Szarek SR, et al. 1983. Primary production and abiotic controls in forests, grasslands and desert ecosystems in the United States[J]. Ecology, 64:134～151.
[23] William GC Jr. 1979. Modelling grassland primary productivity using piecewise stationary, piecewise linear mathematics [J].Ecol. Model., 7:107～123.