Influences of grass and moss on runoff and sediment yield on sloped loess surfaces under simulated rainfall

It is important to evaluate the impacts of grasses on soil erosion process so as to use them effectively to control soil and water losses on the Loess Plateau. Laboratory-simulated rainfall experiments were conducted to investigate the runoff and sediment processes on sloped loess surfaces with and without the aboveground parts of grasses and moss (GAM: grass and moss; NGAM: no grass and moss) under slope gradients of 5°, 10°, 15°, 20°, 25° and 30°. The results show that runoff from GAM and NGAM plots increased up to a slope gradient of 10° and decreased thereafter, whereas the runoff coefficients increased with gradient. The average runoff rates and runoff coefficients of NGAM plots were less than those of GAM plots except for the 5° slope. This behaviour may be due to the reduction in water infiltration under moss. The difference between GAM and NGAM plots in average runoff rates varied from 1·4 to 8%. At the same gradients, NGAM plots yielded significantly (α = 0·05) more sediment than GAM plots. Average sediment deliveries for different slopes varied from 0·119 to 3·794 g m⁻² min⁻¹ from GAM plots, and from 0·765 to 16·128 g m⁻² min⁻¹ from NGAM plots. Sediment yields from GAM plots were reduced by 45 to 85%, compared with those from the NGAM plots. Plots at 30° yielded significantly higher sediments than at the other gradients. Total sediments S increased with slope gradients G in a linear form, i.e. S = 9·25G − 39·6 with R² = 0·77*, for the GAM plots, and in an exponential model, i.e. S = 40·4 exp(0·1042G) with R² = 0·93**, for the NGAM plots. In all cases, sediment deliveries decreased with time, and reached a relative steady state at a rainfall duration of 14 min. Compared with NGAM plots, the final percentage reductions in sediment delivery from GAM plots were higher than those at the initial time of rainfall at all slopes. Copyright © 2006 John Wiley & Sons, Ltd.     

AMSR-E土壤湿度产品在锡林浩特草地样区的精度验证

AMSR-E土壤湿度产品已逐渐应用于气象,农业等各个领域,对土壤湿度的研究,特别是干旱半干旱地区,有着重要的科研和现实意义.为了验证AMSR-E土壤湿度产品在锡林浩特草地的适用性,利用锡林浩特草地野外实验,在3 km×3km范围内,与同经纬度地面9个点的2 cm土壤体积含水量数据作产品精度验证.通过与降水量的比较,验证了AMSR-E土壤湿度产品的可靠性,通过与地面实测值的比较,验证结果表明,AMSR-E反演的平均土壤体积含水量与地面实测平均土壤体积含水量分别为13.3%和11.8%,两者土壤体积含水量的RMSE为3.7%.     

内蒙古农牧交错带草地生产力对气候要素的响应——以多伦县为例

利用内蒙古农牧交错带多伦县50余a的气候资料,基于Miami和Thornthwaite Memorial气候模型,分析了该地区草地生产潜力对气候要素的响应。结果表明,Thomthwaite Memorial模型更能反映草地生产潜力随气候要素的变化规律。温度升高和降水增加均对当地草地生产潜力起正作用。其中,相对温度而言,降水对草地生产潜力的限制作用更为明显。另外,利用多伦县1999～2002年的畜牧业统计资料,对天然草地和人工草地的有效生产潜力和实际产量作了对比,其中天然草地的草地生产潜力开发度很低,仅为26％,具有很大的开发空间。人工草地的实际产量和草地生产潜力开发度相对更高,显示了它作为提高该地区牧草产量有效途径的可能性。最后通过对比多伦县2000～2002年的理论和实际载畜量,提出该地区草原处于高超载状态,平均超载率高达79．3％。     

巴音布鲁克草原植被生长气象条件指数变化特征

利用巴音布鲁克气象站1958--2012年4—9月各旬日照、气温、降水量资料,应用模糊数学方法,构造了影响巴音布鲁克天然草地植被生长的光、热、水函数,计算植被生长气象条件指数,分析了光照、热量、水分条件指数及综合气象条件指数的变化特征。结果表明,巴音布鲁克草地植被生长的光照条件较稳定,热量和水分条件是限制因子,热量条件呈明显线性增加的趋势,水分条件年际波动较大,无明显线性趋势;综合气象条件指数年际波动大,气候倾向率分析呈明显线性增加的趋势,2004年发生了明显的增加突变,近10a气象条件有利于草原植被生长。     

禁牧对安西荒漠化草原芨芨草光合生理生态特征的影响

对安西温性荒漠化草原退牧还草围栏建设工程区芨芨草光合生理生态特征进行了监测分析。结果显示,与放牧区相比较,围栏禁牧草场环境中气温和叶温相对较低,空气湿度相对较高,二者环境有显著差异,表明禁牧极大地改善了草原牧草的生长环境。同时,禁牧区草地主要植物类群芨芨草叶片的光合速率较高,有利于其生长和干物质的积累。     

Sand wave migration near the southeastern corner of Martha's Vineyard,Massachusetts, USA

Sand waves of approximately 2 m in height were observed to migrate nearly 40 m with counterclockwise rotation between two bathymetric surveys performed three months apart near the southeastern corner of Martha's Vineyard, Massachusetts. The region is characterized by strong tidal currents, intermittent energetic surface wave events, and shallow water with local depth ranging from 2 to 7 m. This study uses the process-based model, Delft3D, with a three-dimensional approach to examine the sand wave dynamics by incorporating surface waves, winds, currents, and bathymetric observations. The model successfully simulates sand wave migration in comparisons to observations. Model sensitivity analyses show that the sand wave migration reduces by 65% with the absence of the surface waves. The modeled sand wave migration speed is correlated with the tidal current Shields parameter, and sharp increases in migration speed occur when the wave-driven Shields parameter increases in response to energetic surface wave events. The combined effect of tides, surface waves, and bathymetry is the origin of the rotational aspect of the sand wave, using the Shields parameter as an indicator of tidal currents and surface wave influence on sand wave dynamics.     

青藏高原三江源区退化草地生态系统的地表反照率特征

为了揭示青藏高原三江源区草地退化对生态系统地表反照率的影响,利用2006年12月至2007年11月一整年的观测数据,分析了地表反照率的季和日变化特征及其影响因子。退化草地生态系统的年均地表反照率为0.22,生长季(5～9月)的平均地表反照率为0.18,非生长季为0.25。在植物生长初期的5月,地表反照率主要受土壤水分影响,5月末至6月初出现全年最低值;植物生长旺季的7～8月,受植被的影响地表反照率相对较稳定,并略高于生长季中其它各月。地表反照率的日变化呈"U"型,阴天的地表反照率高于晴天。全年地表反照率出现的最大频率集中在0.20附近,非生长季在0.22附近,生长季在0.18附近。退化草地生态系统生长季地表反照率的变化受土壤水分和植被的的影响,而非生长季受积雪的影响较大。     

Inducing Unstable Grassland Equilibrium States Due to Nonlinear Optimal Patterns of Initial and Parameter Perturbations: Theoretical Models

Due to uncertainties in initial conditions and parameters,the stability and uncertainty of grassland ecosystem simulations using ecosystem models are issues of concern.Our objective is to determine the types and patterns of initial and parameter perturbations that yield the greatest instability and uncertainty in simulated grassland ecosystems using theoretical models.We used a nonlinear optimization approach,i.e.,a conditional nonlinear optimal perturbation related to initial and parameter perturbations (CNOP) approach,in our work.Numerical results indicated that the CNOP showed a special and nonlinear optimal pattern when the initial state variables and multiple parameters were considered simultaneously.A visibly different complex optimal pattern characterizing the CNOPs was obtained by choosing different combinations of initial state variables and multiple parameters in different physical processes.We propose that the grassland modeled ecosystem caused by the CNOP-type perturbation is unstable and exhibits two aspects:abrupt change and the time needed for the abrupt change from a grassland equilibrium state to a desert equilibrium state when the initial state variables and multiple parameters are considered simultaneously.We compared these findings with results affected by the CNOPs obtained by considering only uncertainties in initial state variables and in a single parameter.The numerical results imply that the nonlinear optimal pattern of initial perturbations and parameter perturbations,especially for more parameters or when special parameters are involved,plays a key role in determining stabilities and uncertainties associated with a simulated or predicted grassland ecosystem.     

示踪弥散试验影响因子分析

污染物质在含水介质中的运移,不仅受到水文地质条件的制约,而且受水化学动力条件的制约。示踪弥散试验常用于模拟地下水污染物质的运移研究,为污染预测和污染防治提供依据。试验选用NaCl为示踪剂,砂土为介质。在室内进行一维弥散试验,针对示踪剂的浓度、水力梯度、砂土干密度等影响因素,进行系统分析。结果表明,弥散系数与NaCl浓度、水力梯度成正比,与砂土干密度成反比。     

Snowmelt and the hydrological interaction of forest–grassland ecosystems in Central Yakutia,eastern Siberia

In the last two decades the major focus of study in forest water and carbon balances in eastern Siberia has been on the effect of rain during the growing season. Little attention has been paid to the contribution of snowmelt water. The results of the present study indicate that weather conditions during the snowmelt period as well as the soil moisture conditions carried from the previous year's growing season strongly determined the water availability for the forest ecosystem at the beginning of the next growing season. In the forest–grassland intermingled ecosystem of lowland Central Yakutia, gradual snowmelt water flow from the forest into the adjacent grassland depressions increased when soil moisture was high and air temperature was low, whereas low soil moisture and high air temperatures accelerated soil thawing and consequently snowmelt water infiltration into the forest soil. We found that snow depth did not determine the volume of snowmelt water moving to the grassland depression since the thermokarst lake water level in the adjacent grassland was about 25 cm lower in 2005 than in May 2006, even though maximum snow depth reached 57 cm and 43 cm in the winter of 2004–05 and 2005–06, respectively. The contribution of snowmelt water to forest growth as well as the flow of water from the forest to the grasslands showed a strong annual variability. We conclude that warmer springs and high variability in precipitation regimes as a result of climate change will result in more snowmelt water infiltration into the forest soil when the previous year's precipitation is low while more snowmelt water will flow into the thermokarst lake when the previous year's precipitation is high. Copyright © 2015 John Wiley & Sons, Ltd.