青海南部冻融区高寒草地土壤温度变化及热量传输特征

为进一步了解高寒地区草地土壤冻融期（5—9月为融期,10月—翌年4月为冻期）能量收支平衡及不同剖面物理属性过程,采用热传导对流法、振幅法和相位法就该区不同深度土壤热通量分别进行了计算,并初步分析了不同年际间土壤热力学参数的变化特征。结果表明,热传导对流法能较好地描述高寒地区不同深度土壤热通量的变化特征。不同深度土壤温度的多年平均值由地表向深层土壤逐渐呈滞后效应,地表温度（T_0cm）最高值出现在7月份左右,而深层土壤T_160cm和T_320cm的最高值出现时间分别为8月和9月,且随着土壤深度的增加,其振幅减小,相位滞后。中间层土壤温度实测值与模拟值的拟合效果最佳,回归校正系数分别为0.9361、0.9509和0.9133;土壤总热通量与对流热通量相位的变化趋势一致,而与传导热通量相反。因此,季节变化是影响该区土壤剖面热量传递过程和传输方向的主导因子。     

三江源区毒杂草型退化草地植被光谱特征分析

毒草型退化草地具有群落演替特点,通过高光谱遥感技术反演毒杂草分布与退化草地群落结构能对该类退化草地进行有效监测,而光谱特征分析是毒杂草与优良牧草遥感识别的基础。本文选取了三江源区毒草型退化草地的8种典型毒杂草和4种优良牧草的地面实测高光谱数据作为研究样本,经过SG平滑、包络线去除、导数变换和光谱参量化对毒杂草种和优良牧草种的光谱特征进行了分析,并通过马氏距离法提取其特征识别波段。结果表明：① 8种典型毒杂草和4种优良牧草的 “近红外峰值”差异较大,其中鹅绒萎陵菜的“近红外峰值”达到60.07%,而最小者早熟禾仅为17.53%;② 经包络线去除处理后,植被光谱曲线中吸收谷和反射峰光谱差异更加明显,且可减少环境背景对植被光谱的影响,如沼泽草甸的鹅绒委陵菜和驴蹄草,其“绿峰幅值”分别为6.46%和6.89%,经处理后其“绿峰指数”分别为0.2866和0.3671,而在2种环境下生长的同一草种（狼毒草1和狼毒草2）的峰谷特征差异不明显;③ 基于马氏距离法提取的毒杂草与优良牧草的敏感识别波段主要分布在680~750 nm和900~1000 nm波长范围内,以醉马草与矮嵩草为例,其基于反射率的敏感识别波段为713.1~737.1 nm和934.6~965.6 nm。该研究可为利用高光谱遥感进行大面积毒杂草草种识别和植被群落生长监测提供重要科学依据,对于三江源区毒杂草的监测防治和畜牧业的可持续发展具有重要意义。     

基于稀疏样点的蒙古国产草量估算方法研究

产草量是衡量草原生产力和诊断草原健康状况的指标,是草地资源管理的重要依据。近年来,遥感数据结合地面实测数据建模已成为产草量估算的重要手段。充足的实测样点信息是产草量遥感建模估算的基础。受境外采样多重因素的制约,蒙古国产草量估算研究中无法获取足够且分布均匀的实测样点,估产模型的精度受到影响,这一问题目前尚未发现有好的解决方法。本研究选取中蒙铁路沿线（蒙古段）两侧200 km缓冲区作为研究区,针对产草量遥感估算中野外样点稀少且分布不均的问题,引入P-BSHADE方法,基于多年NDVI数据和获取的少量地面实测样点数据,考虑草地分布的非均匀性以及样点之间的相关性,对均匀分布的模拟样点处的产草量数据进行插值实验。结果显示,P-BSHADE法的插值效果优于Kriging法,可得到均匀分布于研究区的样点。基于以上实测样点和插值样点,结合NDVI、EVI、PsnNet 3种植被指数进行遥感建模,最优模型精度达到80%,精度优于已有相关研究。选取其中最优的基于NDVI的指数模型对研究区2000—2019年产草量进行反演,获得的产草量空间格局与年际变化与已有研究结果趋势吻合,进一步印证了结果的可靠性和插值方法的可行性。本研究通过插值的方式改善数据源从而提高估算模型精度是一种全新的思路与尝试,对于“一带一路”等境外区域资源环境监测具有借鉴意义。     

1982~2013年青藏高原高寒草地覆盖变化及与气候之间的关系

利用GIMMS NDVI数据和地面气象站台观测数据,对青藏高原1982~2013年高寒草地覆盖时空变化及其对气象因素的响应进行研究,结果表明：青藏高原高寒草地生长季NDVI表现为从东南到西北逐渐减少的趋势,近32 a来,整个高原草地生长季NDVI呈上升趋势,增加速率为0.000 3/a (p<0.05);高寒草地生长季NDVI年际变化具有空间异质性,整体为增加趋势,呈增加趋势的面积约占研究区域面积的75.3%,其中显著增加的占26.0% （p<0.05）,类型主要为分布在青藏高原东北部地区的高寒草甸;比例为4.7%,草地类型主要为高寒草原,主要分布在高原西部地区;基于生态地理分区的分析显示,青藏高原草地与降水、温度的相关关系具有明显的空间差异,高寒草地生长季NDVI均值与降水呈显著正相关,对降水的滞后效应显著;高原东北部温度较高,热量条件较好,降水为高寒草地生长季NDVI变化的主导因子;东中部地区降水充沛,温度则为高寒草地生长的制约因子;南部地区降水和温度都较适宜,均与高寒草地生长季NDVI相关性显著(p< 0.05),共同作用于草地的生长;中部和西部地区,气候因子与高寒草地生长季NDVI关系均不显著。     

The effect of hedgerow wild-margins on topsoil hydraulic properties,and overland-flow incidence,magnitude and water-quality

Overland and shallow-subsurface flows from agricultural catchments are believed to contribute towards flood-risk and water-quality degradation across the globe. Hedgerows are commonplace agricultural features that may disrupt these rapid hydrological pathways. Research into the hydrological functioning of hedgerows is very limited however, with no field-based quantitative comparison of overland-flows within hedgerows versus other land-uses. This research is the first globally to observe changes in overland-flow incidence, volume and water-quality, alongside topsoil hydraulic and physico-chemical properties, induced by a hedgerow and adjoining wild-margin within a grassland landscape. Observations were conducted within two replicated paired-plots between a hedgerow wild-margin and a bordering pasture, within Cumbria, UK. Compared to adjacent pasture, hedge-margins significantly reduced topsoil dry bulk-density and increased porosity, and significantly increased the topsoil median permeability by a factor of 22–27. Overland-flow models, based on direct observations, highlight that hedge-margins are slower to produce overland-flows than pastures, requiring an equal or greater amount of saturation before the onset of overland-flow generation. Hedge-margins resultantly produced less overland-flow volume, likely due to increased infiltration, percolation and/or evapotranspiration. Soil saturation models, also based on direct observations, confirm pastures saturate faster than hedge-margins, with hedge-margins having extremely variable dynamics in relation to precipitation, whereas pastures have more moderate and consistent dynamics. Overland-flow water-quality from ‘wash-off’ experiments highlight that hedge-margins may store substantially more nitrate (70–260%), nitrate-nitrite (640–650%), and loose sediment (540–3970%) on the ground surface compared to pastures; although further experimentation is needed to determine contaminant mobilization potential.     

基于HJ-1A/1B数据的高寒草地牧草营养动态监测模型

为了掌控高寒草地全年的营养状况与更好地利用草地和草畜平衡,该文基于HJ-1A/1B多光谱CCD数据,通过监测草地牧草全年4期营养动态和分析对应时期的遥感指数,建立了直接和间接的遥感动态对比模型,获得了草地牧草4期生物量和粗蛋白含量.结果表明:基于HJ-1A/1B多时相、多光谱数据,利用间接模型反演4期草地牧草生物量和粗蛋白是一种可行的方法,尤其在枯草期和返青期;草地牧草全年营养状况变化很大,最大相差约9倍.     

藏北高寒草地退化现状、原因与恢复模式

藏北高寒草地系统生态脆弱且区位重要,草地退化和沙化的治理是目前学者们重点关注的领域之一。本文采用遥感解译、模型模拟、地面取样验证等相结合的方法,分析了藏北高寒草地生态系统退化的现状、趋势和原因,以实验为基础,总结了退化草地恢复的几种重要模式。数据分析表明：藏北羌塘高原轻度退化草地占62．0％,中度和重度退化草地占15．1％,1991年以来,退化面积快速增加,2000年以来重度退化面积增加趋势明显。藏北西部的草地轻度退化可能由气候暖千化所引起,而中部、东部的重度退化主要由超载过牧引起。总结出轻度退化草地的“封育”、中度退化草地的“施肥＋封育”、重度退化草地的“补播＋施肥＋封育”三种草地恢复模式。提出了退化草地恢复和保护的间接途径“南草北上”生态工程的战略构想。     

Comparing the hydrology of grassed and cultivated catchments in the semi‐arid Canadian prairies

At the St Denis National Wildlife Area in the prairie region of southern Saskatchewan, Canada, water levels in wetlands have been monitored since 1968. In 1980 and 1983 a total of about one‐third of the 4 km² area was converted from cultivation to an undisturbed cover of brome grass. A few years after this conversion all the wetlands within the area of grass dried out; they have remained dry since, whereas wetlands in adjacent cultivated lands have held water as before. Field measurements show that introduction of undisturbed grass reduces water input to the wetlands mainly through a combination of efficient snow trapping and enhanced infiltration into frozen soil. In winter, the tall brome grass traps most of the snowfall, whereas in the cultivated fields more wind transport of snow occurs, especially for short stubble and fallow fields. Single‐ring infiltration tests were conducted during snowmelt, while the soil was still frozen, and again in summer. The infiltrability of the frozen soil in the grassland is high enough to absorb most or all of the snowmelt, whereas in the cultivated fields the infiltration into the frozen soil is limited and significant runoff occurs. In summer, the infiltrability increases for the cultivated fields, but the grassland retains a much higher infiltrability than the cultivated land. The development of enhanced infiltrability takes several years after the conversion from cultivation to grass, and is likely due to the gradual development of macropores, such as root holes, desiccation cracks, and animal burrows. Copyright ©2002 Crown in the right of Canada. Published by John Wiley & Sons, Ltd.     

基于高光谱分析的草地叶绿素含量估算研究进展

叶绿素是草地进行光合作用最重要的色素,与氮素、蛋白质、水分等其他植被生化参数均有着密切关系,是草地光合能力及生理状况的良好指示剂。利用高光谱数据建模分析是实现大面积草地叶绿素含量估算的一种重要手段。本文将基于高光谱分析估算草地叶绿素含量的方法总结为：基于红边位置及光谱指数的经验模型和辐射传输模型两类。经验模型通过建立叶绿素含量与红边位置、光谱指数之间统计关系来估算叶绿素含量,参数简单,实用性较强;但光谱指数构造形式多样且与草地叶绿素含量关系复杂,在一定程度上影响了叶绿素的估算精度。辐射传输模型以叶绿素含量与辐射能量的作用过程作为其理论基础,模型中参数较多且对估算尺度敏感,有待于进一步完善。目前草地叶绿素估算的研究相对薄弱,专门用于估算的模型较少。未来的工作一方面应致力于发展和改进适宜于草地的光谱指数,同时确定合适的辐射传输模型参数以改进模型对草地的监测效果;另一方面,如何由叶片尺度拓展到冠层尺度进而拓展到像元尺度,从而更好地实现大面积草地叶绿素含量估算,是一项既具有重要意义又有挑战性的工作。     

Modelling evapotranspiration in an alpine grassland ecosystem on Qinghai‐Tibetan plateau

Thus far, measurements and estimations of actual evapotranspiration (ET) from high‐altitude grassland ecosystems in remote areas like the Qinghai‐Tibetan plateau are still insufficient. To address these issues, a comparison between the results of the eddy covariance (EC) measurements and the estimates, considering the Katerji and Perrier (KP), the Todorovic (TD) and the Priestley–Taylor (PT) models, was carried out over an alpine grassland (38^o03'1.7'' N, 100^o 27’ 26'' E; 3032 m a.s.l.) during the growing seasons in 2008 and 2009. The results indicated that the KP model after a particularly simple calibration gave the most effective ET values in different time scales, the PT model slightly underestimate ET at night and the TD model significantly overestimated ET at noon. In addition, the canopy resistance calculated by the TD model was completely different from that calculated using the inverted EC‐measured data and the KP model, which may be due to some unrealistic assumptions made by the TD model. The KP parameters were a = 0.17 and b = 1.50 for the alpine grassland and appeared to be interannually stable. However, the PT parameter showed some interannual variations (α = 0.83 and 0.74 for 2008 and 2009, respectively). Therefore, the KP model was preferred to estimate the actual ET at both hourly and daily time scales. The PT model, being the simplest approach and field condition dependent, was recommended when available weather data were rare. On the contrary, the TD model always overestimated the actual ET and should be avoided in case of the alpine grassland ecosystems. Copyright © 2012 John Wiley & Sons, Ltd.