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草地植被

草地植被的相关文献在1980年到2022年内共计175篇,主要集中在畜牧、动物医学、狩猎、蚕、蜂、农业基础科学、植物学 等领域,其中期刊论文107篇、会议论文24篇、专利文献7482篇;相关期刊64种,包括生态学报、中国学术期刊文摘、青海草业等; 相关会议22种,包括中国草学会草地资源与利用专业委员会第八次学术研讨会、2012第二届中国草业大会、第三届全国草业科学研究生论坛等;草地植被的相关文献由487位作者贡献,包括辛晓平、吴惠惠、张泽华等。

草地植被—发文量

期刊论文>

论文:107 占比:1.41%

会议论文>

论文:24 占比:0.32%

专利文献>

论文:7482 占比:98.28%

总计:7613篇

草地植被—发文趋势图

草地植被

-研究学者

  • 辛晓平
  • 吴惠惠
  • 张泽华
  • 赵哈林
  • 黄训兵
  • 丁勇
  • 任玉平
  • 傅华
  • 吴波
  • 周瑞莲
  • 期刊论文
  • 会议论文
  • 专利文献

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    • 丁成翔
    • 摘要: 为快速掌握区域草地资源变化情况,及时采集草地植被盖度数据,本文以青海省海南州为例,采用Sentinel-2遥感数据结合地面调查,反演出该区域草地植被盖度近似真值,以5000 m×5000 m网格抽样框提取出MOD13Q1植被盖度作为抽样底图,选取5项评价指标,评价了基于自然间断点分级算法的分层抽样方法。结果表明:基于自然间断点分级法的分层抽样满足方法要求,其样本容量、抽样误差、回归模型拟合的决定系数、均方根误差、平均相对误差分别为33、0.8%、0.966、3.32%、4.06%,经验证可备选作为草地植被盖度调查快速监测方法。
    • 康孝岩; 张爱武; 庞海洋
    • 摘要: 准确及时地预测牧草的地上生物量AGB(aboveground biomass)是实现牧草生长监测和合理放牧的前提.无人机高光谱遥感可快速获取高空间、光谱和辐射分辨率的遥感影像,已被广泛应用于精准农业和高通量植物表型等领域.为探究无人机高光谱影像(unmanned aerial vehicle hyper-spectral image,UAV-HSI)对草原牧草AGB预测的适用性,获取了青海省典型草场样区的UAV-HSI、样方牧草AGB和相关辅助数据.然而,UAV-HSI具有较大的数据量级,不便于被广泛采集、存储和传输,也会显著影响数据处理的效率,严重制约其被有效利用.着眼于此,提出一种兼顾数据简化和光谱保真的牧草冠层光谱重建优化方法,以期在有效降低数据量的同时,保证牧草AGB的预测精度.首先,利用残差量化方法对UAV-HSI进行特征参量化处理,获得低数据量级的多阶二值立方体(Hi)及系数矩阵(βi),并以此替代原始数据进行存储和传输;其次,利用Hi和βi进行光谱重建,得到初构光谱PRS(preliminarily reconstructed spectra);最后,运用Savitzky-Golay滤波对PRS进行优化,即为OPRS(optimized PRS).以样区牧草光谱为例,对OPRS的光谱保真性,即O PRS与原始光谱之间的相关系数、光谱角和光谱矢量距离进行分析,结果表明,在3种保真性指标上,OPRS均明显优于同阶的PRS.进而,分析了牧草AGB与光谱变量之间的相关性,结果表明,与原始光谱和PRS相比,OPRS各波段对牧草AGB的预测能力相对较高且最为稳定.而后,利用偏最小二乘法回归构建了牧草AGB的反演模型,结果表明,在原始光谱、1~4阶PRS和1~4阶OPRS等9种光谱中,4阶和3阶OPRS的AGB预测精度分别达到了最优和次优水平,二者的AGB预测相对分析误差RPD(ratio of performance to deviation)分别为2.31和2.23,比原始光谱模型的RPD分别高0.26和0.18.在降低1个数量级的情况下,OPRS取得了优于原始光谱的牧草AGB预测性能,说明OPRS兼具数据简化和牧草AGB准确预测性能,为UAV-HSI估算牧草AGB提供了一种新的有效解决方案.
    • 赵梦凡; 周秉荣; 赵彤; 周华坤; 校瑞香; 颜亮东; 李璠
    • 摘要: 为了研究青海省草地植被干旱特征及驱动因子,以青海省草地植被覆盖区域为对研究对象,采用水量平衡和作物需水量等方法构建干旱评估模型,评估青海省草地植被干旱时空分布特征和发生趋势,并探讨形成干旱的关键驱动因素,结果表明:整个生长季东部农业区、环青海湖区、祁连山区大部草地植被基本维持轻旱和无旱,严重干旱区域集中在青南牧区的低覆盖度草地,干旱空间总体分布基本表现为低覆盖度>中覆盖度>高覆盖度;草地植被在整个生长季的干旱灾害类型以轻旱为主,中旱次之,重旱和特旱发生频率较低,极端干旱强度呈增加态势;降水和蒸散在整个干旱发生过程中驱动作用最大,且均为负向影响,随着干旱等级加重,蒸散逐渐代替降水成为影响干旱的最重要驱动因子.风速整体上对干旱的影响表现为正向,气温、日照时数和水汽压对干旱影响作用较小.
    • 罗迪文; 黄金柏; 黄涌增; 顾准; 朱超凡
    • 摘要: 利用土壤水分观测结果,分析不同降雨过程对土壤水分的影响;根据0~30 cm土层和根系层(0~10 cm)土壤含水量对表面阻抗rs等参数进行率定,并结合Penman-Monteith(P-M)公式得到相应土层小时蒸散发量ET30和ET10.结果表明,降雨前表层(0~5.5 cm)土壤水分越低,根系层降雨响应时间越短;未达到饱和前,随着雨强增大,土壤水分增速变快,且25 cm及以下土层土壤水分受降雨影响较小;ET 10约占ET 30的78%,即蒸散发所消耗的水分主要由根系层提供.研究结果为城市化背景下草地植被土壤水分运动的深入研究提供基础数据.
    • kevin z mganga; dickson m nyariki; nashon k r musimba; dorothy a amwata
    • 摘要: The causes of land degradation in the African drylands have been shown to vary. Some researchers consider climate to be the major contributor to degradation, with anthropogenic factors playing a minor role. Others reverse the significance of these two factors. A third group attributes land degradation to climate and anthropogenic factors equally. This study was undertaken to establish the factors influencing land degradation in a semi-arid environment in southeastern Kenya and the rate of change in vegetation types for a period of 35 years(1973–2007). The reduction in grassland cover was used as an indicator of land degradation. Causes of land degradation were determined by a multiple regression analysis. A log-linear regression analysis was used to establish the rate of vegetation change. The multiple and log-linear regression analyses showed:(1) woody vegetation, livestock population and cultivated area to be the main contributors of reduction in grassland cover in the area, and (2) an increase in undesirable woody species, livestock population and cultivated area had a significant(P<0.05) negative effect on grassland vegetation. Increased human population, low amounts of rainfall and drought showed no significant negative effect on grassland vegetation cover. In conclusion, human and livestock population growth and increased agricultural land have contributed to intensive crop cultivation and overgrazing in the semi-arid lands. This overuse of the semi-arid rangelands has worsened the deterioration of the natural grassland vegetation.
    • 田娜玲; 王占礼; 张琪琳; 王栋栋; 张庆玮
    • 摘要: 阻力系数是坡面流水动力学参数之一,是反映坡面流水力学特性的重要特征值。通过室内人工模拟降雨试验,研究了不同雨强(0.7,1.0,1.5,2.0,2.5mm/min)和坡度(7°,10°,15°,20°,25°)下,黄土区草地坡面片流阻力系数随雨强和坡度的变化特征。结果表明:(1)不同雨强和坡度下,草地坡面片流阻力系数随降雨历时的变化均呈先波动减小,后逐渐趋于稳定的趋势,且变化过程均可用二次多项式进行描述,相关性显著,决定系数0.5以上。(2)草地坡面片流阻力系数随雨强的增加而逐渐增大,可用指数方程描述,决定系数0.8以上;而片流阻力系数随坡度的增加而减小,可用对数方程描述,决定系数0.6以上。(3)草地坡面次降雨平均片流阻力系数对雨强及坡度的综合响应关系可用二元指数函数描述,决定系数0.923,且雨强对草地坡面片流平均阻力系数的影响大于坡度对阻力系数的影响。研究结果为草地坡面水流动力学特性及草地植被的阻流机制提供参考和理论基础,对于深刻认识黄土区草地坡面侵蚀动力和生态建设具有重要意义。
    • 王栋栋; 王占礼; 张庆玮; 张琪琳; 田娜玲
    • 摘要: 为研究植被修复状态下径流含沙量变化.该试验运用人工模拟降雨试验方法,分析了径流含沙量草被调控效益变化.结果:1)不同降雨强度或坡度下,平均径流含沙量随草被盖度的增大而减小,草被盖度从30%~70%,含沙量分别降低约10或5 kg/m3,可用线性方程显著描述.草被消减雨强对径流含沙量影响大于草被消减坡度的.平均径流含沙量随降雨强度或坡度的增大而增大,分别可用幂函数或指数函数方程显著描述,决定系数在0.5或0.8以上.2)基于单位水流功率建立幂函数模型决定系数为0.940,模型有效系数为0.986,说明模型模拟精度都较高.3)基于坡度、雨强和盖度建立指数函数模型决定系数为0.937,模型有效系数为0.894,说明模型模拟精度都较高.该研究可以预测草地坡面含沙量,为生态建设和流域管理提供指导.%The purpose of this study was to model sediment concentration of sheet erosion on rangeland, which has a major impact on strengthening river basin management and controlling the source of soil erosion. The impact of herbaceous vegetation on sediment concentration under different slopes or rain intensities was studied by artificial rainfall experiment. The relationship of sediment concentration and slope gradient, rainfall intensity, and hydraulic parameters, such as shear stress, stream power and unit stream power, was investigated to derive an accurate experimental model. Each experiment soil pan with metal frames was 140 cm long, 120 cm wide and 2.5 cm deep. The experiment soil sample was collected from Ansai County, Shaanxi Province in China. After the soil was packed, herbaceous vegetation (Poa pratensis L.) was transplanted in a banded uniform layout. Poa pratensis L. was a gramineous plant, and the current year's Poa pratensis L. was selected. The duration of all simulated rainfall events was 40 min. The experiment was conducted at 5 herbaceous vegetation cover densities (30%, 40%, 50%, 60%, and 70%), 5 rainfall intensities (0.7, 1, 1.5, 2, and 2.5 mm/min) and 5 slopes (7°, 10°, 15°, 20°, and 25°), respectively. All combinations were tested with 2 replicates of each run, a total of 90 experimental units. All statistical analyses were carried out using Excel or spss 18.0. Results show that: 1) Herbaceous vegetation not only decreases sediment concentration, but also reduces the effect of rainfall intensity or slope on it, which would increase with cover increasing. Cover increases from 30% to 70%, herbaceous vegetation decreases sediment concentration by more than 5 kg/m3, and reduces the effect of rainfall intensity or slope on it by more than 10 kg/m3. Under different slopes or rainfall intensities, sediment concentration decreases as linear equations with cover, and the relationship between sediment concentration and cover is significant (P<0.01). Under different covers, sediment concentration totally increases as power equations or exponential equations with rainfall intensity or slope, the relationship between sediment concentration and rainfall intensity is very well (P<0.01), and the relationship between sediment concentration and slope is also good (P<0.01). 2) Unit stream power is the parameter most suitably describing sediment concentration with an exponential equation among the 3 hydraulic parameters considered in this paper. Sediment concentration increases as shear stress or stream power increases, and both can be described by a logarithmic equation, but the relationship between sediment concentration and shear stress or stream power is poor. 3) Rainfall intensity, slope and cover can be used to predict sediment concentration with an exponential function accurately, which was satisfactory for predicting sediment concentration with the R2 value of 0.937 and the NE (Nash coefficient) of 0.894. Meanwhile, unit stream power also can be used to predict sediment concentration with a power function equation, which was satisfactory for predicting sediment concentration with the R2 value of 0.940 and the NE of 0.986. Vegetation species, layout and root morphology affect the simulation effect of sediment concentration on rangeland. In the later period, the vegetation species, layout and root morphology should be studied to quantify the sediment concentration and optimize the sediment concentration model.
    • 李美君; 杜庆; 张克斌; 刘小丹
    • 摘要: 为了制定北方农牧交错带草地植被恢复措施,以宁夏盐池县人工封育区为研究对象,调查了2010-2014年植被数量特征(盖度、生物量、群落高度、密度),利用北方农牧交错带草地植被波动测度公式进行计算和分析.结果表明:(1)2010-2014年植被波动率变化范围是-0.109~0.200,整体波动率的变化并不显著,2012年的波动率为-0.109,是调查期内草地植被生长状况最差的年份,2010-2011年和2013-2014年呈现植被波动可逆性;(2)降水是影响研究区草地植被数量波动的重要生态因子,2010-2014年植被波动强度变化趋势与降水趋势大体一致,但是2012年植被波动的异常现象可能是受到了生物结皮的影响.
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