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主要气候因子对不同放牧强度下草甸草原植被群落特征的影响 被引量:1

Effects of Main Climatic Factors on Vegetation Community Characteristics of Meadow Steppe Under Different Grazing Intensities
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摘要 试验研究了主要气候因子对不同放牧强度下草地植物群落结构的影响,确定了气候因子对草甸草原群落结构变化的数量特征的影响,探讨了草甸草原生物多样性和生态系统功能对气候变化的响应与适应,为合理利用和管理天然草地以及为预测草甸草原在全球气候变化下的发展趋势提供借鉴和依据。结果表明:不同放牧强度下草地群落特征指标与不同气候因子的相关性有明显差异;关键期平均温度和年降水量是影响草原群落特征变化的最主要的气候因子且群落指标对关键期平均温度变化的敏感性大于年降水量的变化;零放牧和适度放牧的地上生物量与关键期平均温度和年降水量的呈正相关性关系,重度放牧的地上生物量与环境因子的相关性不明显。 This experiment mainly studied the influence of main climatic factors on the structure of grassland plant community under different grazing intensities.To determine the quantitative characteristics of climate factors on meadow steppe community structure changes,this experiment explores the response and adaptation of meadow grassland biodiversity and ecosystem function of climate change,natural grassland utilization and management as well as in the global climate change trend forecast,which provides a reference basis in meadow steppe.The results showed that the correlation between grassland community characteristic index and different climatic factors under different grazing intensities were significantly different;the average temperature and annual precipitation in thecritical period were the most important climatic factors affecting the change of grassland community characteristics and the average temperature of the community index to the key period and the community index of the critical period of average temperature change is greater than the annual precipitation.The aboveground biomass of zero grazing and moderate grazing was positively correlated with the average temperature and annual precipitation during the critical period and the correlation between aboveground biomass and environmental factors was not significant in heavy grazing.
作者 赵建国 刘存歧 Zhao Jianguo;Liu Cunqi(College of Life Science, Hebei University, Baoding , Hebei, 071002, China)
出处 《绿色科技》 2018年第8期31-34,共4页 Journal of Green Science and Technology
关键词 气候因子 草甸草原 群落特征 RDA分析 climatic factors meadow grassland community characteristics RDA analysis
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