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水源涵养功能概念的生态和水文视角辨析

水源涵养是评价陆地生态系统服务功能的重要指标,然而学界对水源涵养功能概念和计算方法仍存在诸多争论。这一方面说明水源涵养功能评估具有重要的现实意义,同时也说明其概念的复杂性和模糊性,亟需从生态学和水文学的基本理论出发,厘清水源涵养功能概念的内涵和评估方法,促进科学决策和有效管理。研究水源涵养功能时,生态学家更关注陆地生态系统的蓄水能力（Smax）,而水文学家更关注流域的产流量（Q）,两者均具有合理性,但各有侧重,若不分别辨析,极易造成概念混淆。理论和数据分析表明,蓄水能力和产流量虽然联系紧密,但概念完全不同。陆地生态系统的Smax决定了流域对降水的分配：即蒸散发（绿水）和Q（蓝水）,Smax和Q在降水量一定的情况下往往存在此消彼长的关系。研究发现生态系统的根区蓄水能力（SRmax）是联系绿水和蓝水的核心要素,是水源涵养功能评估的关键变量。大尺度根区蓄水能力主要由气候决定,可借鉴工程水文中设计水库的累积曲线法,根据生态系统用水的生存策略通过气候反演。最后,本文提出3点建议：(1)在实践中分别评估生态系统的绿水和蓝水涵养功能;(2)进一步全面考虑冰川积雪、地下水等多要素的水源涵养功能;(3)...     

中龄和老龄杉木人工林细根序级形态和呼吸特征

以福建省南平市王台镇溪后村安曹下19年生和91年生杉木人工林为研究对象,对其1~5级细根的形态及呼吸特征进行了比较研究。结果表明:2个林分细根直径、根长、组织密度随序级升高逐渐增大,比根长及比根呼吸随序级升高则减小;2个林分细根仅在4级根之间和5级根之间的直径以及5级根之间的比根呼吸具有显著差异(P0.05)。方差分析表明林龄仅对细根直径有极显著影响(P0.01),对根长、比根长、组织密度及比根呼吸的影响均不显著;林龄和序级的交互作用对细根直径,比根长及比根呼吸有显著影响(P0.05,P0.01),对根长和组织密度的影响不显著;序级对两个林分细根直径、根长、比根长、组织密度及比根呼吸的影响均达到极显著水平(P0.01)。回归分析表明2个林分细根直径、根长、比根长、组织密度及比根呼吸与序级之间具有三次函数,指数函数,或者幂函数关系。     

青藏高原东北部观赏地被植物马蔺根系固土护坡效应研究

为了进一步丰富青藏高原东北部地区植被护坡工程植物选择,推动区内植被护坡工程实用性和观赏性兼顾发展。该项研究以青藏高原东北部观赏地被植物马蔺为研究对象,以青海省大通县朔北藏族乡至东峡镇之间区域为研究区,在野外植物分布特征和生长特征调查的基础上,结合单根拉伸试验和重塑根-土复合体三轴压缩试验,定量评价了野生马蔺植株和根系生长特征、单根抗拉特性以及根系对土体抗剪强度的增强效应。试验结果表明：马蔺主要分布在研究区内洪积扇、坡积裙和河漫滩等地貌单元,立地条件包括上述地貌单元内的林下坡地、田间、道旁、湿地、荒地等;通过选取两处试验区开展调查可知,马蔺平均株高、冠幅和植株密度分别为75.22±11.40 cm、106.09±25.62 cm和1.51±0.55 株/m2;马蔺标准株根系分布深度可达50 cm,主要分布在0~30 cm深度范围内,根幅约40~50 cm;马蔺根径为0.20～0.70 mm,单根抗拉力、抗拉强度和延伸率平均值分别为7.94±2.91 N,46.30± 11.06 MPa和54.17%±17.08%,随着根径的增大,单根抗拉力和单根抗拉强度分别呈幂函数增大和幂函数降低关系,单根极限延伸率随着根径的增大呈逐渐增大变化趋势,但二者之间未表现出相对显著性的关系;马蔺根系对土体黏聚力和内摩擦角均有增强作用,可分别显著增强0~30 cm和0~10 cm深度范围内土体黏聚力和内摩擦角,且对土体黏聚力的增强作用较为显著。该项研究成果对于选用观赏地被植物马蔺进行研究区坡面水土流失、浅层滑坡等地质灾害现象的生态防护工作,具有理论研究价值和实际指导意义。     

Bayesian area-to-point kriging using expert knowledge as informative priors

Area-to-point (ATP) kriging is a common geostatistical framework to address the problem of spatial disaggregation or downscaling from block support observations (BSO) to point support (PoS) predictions for continuous variables. This approach requires that the PoS variogram is known. Without PoS observations, the parameters of the PoS variogram cannot be deterministically estimated from BSO, and as a result, the PoS variogram parameters are uncertain. In this research, we used Bayesian ATP conditional simulation to estimate the PoS variogram parameters from expert knowledge and BSO, and quantify uncertainty of the PoS variogram parameters and disaggregation outcomes. We first clarified that the nugget parameter of the PoS variogram cannot be estimated from only BSO. Next, we used statistical expert elicitation techniques to elicit the PoS variogram parameters from expert knowledge. These were used as informative priors in a Bayesian inference of the PoS variogram from BSO and implemented using a Markov chain Monte Carlo algorithm. ATP conditional simulation was done to obtain stochastic simulations at point support. MODIS (Moderate Resolution Imaging Spectroradiometer) atmospheric temperature profile data were used in an illustrative example. The outcomes from the Bayesian ATP inference for the Matérn variogram model parameters confirmed that the posterior distribution of the nugget parameter was effectively the same as its prior distribution; for the other parameters, the uncertainty was substantially decreased when BSO were introduced to the Bayesian ATP estimator. This confirmed that expert knowledge brought new information to infer the nugget effect at PoS while BSO only brought new information to infer the other parameters. Bayesian ATP conditional simulations provided a satisfactory way to quantify parameters and model uncertainty propagation through spatial disaggregation.     

Spatio‐temporal distribution of near‐surface and root zone soil moisture at the catchment scale

Soil moisture is highly variable both spatially and temporally. It is widely recognized that improving the knowledge and understanding of soil moisture and the processes underpinning its spatial and temporal distribution is critical. This paper addresses the relationship between near‐surface and root zone soil moisture, the way in which they vary spatially and temporally, and the effect of sampling design for determining catchment scale soil moisture dynamics. In this study, catchment scale near‐surface (0–50 mm) and root zone (0–300 mm) soil moisture were monitored over a four‐week period. Measurements of near‐surface soil moisture were recorded at various resolutions, and near‐surface and root zone soil moisture data were also monitored continuously within a network of recording sensors. Catchment average near‐surface soil moisture derived from detailed spatial measurements and continuous observations at fixed points were found to be significantly correlated (r² = 0·96; P = 0·0063; n = 4). Root zone soil moisture was also found to be highly correlated with catchment average near‐surface, continuously monitored (r² = 0·81; P < 0·0001; n = 26) and with detailed spatial measurements of near‐surface soil moisture (r² = 0·84). The weaker relationship observed between near‐surface and root zone soil moisture is considered to be caused by the different responses to rainfall and the different factors controlling soil moisture for the soil depths of 0–50 mm and 0–300 mm. Aspect is considered to be the main factor influencing the spatial and temporal distribution of near‐surface soil moisture, while topography and soil type are considered important for root zone soil moisture. The ability of a limited number of monitoring stations to provide accurate estimates of catchment scale average soil moisture for both near‐surface and root zone is thus demonstrated, as opposed to high resolution spatial measurements. Similarly, the use of near‐surface soil moisture measurements to obtain a reliable estimate of deeper soil moisture levels at the small catchment scale was demonstrated. Copyright © 2007 John Wiley & Sons, Ltd.     

Using a H∞ filter assimilation procedure to estimate root zone soil water content

Root zone soil water content impacts plant water availability, land energy and water balances. Because of unknown hydrological model error, observation errors and the statistical characteristics of the errors, the widely used Kalman filter (KF) and its extensions are challenged to retrieve the root zone soil water content using the surface soil water content. If the soil hydraulic parameters are poorly estimated, the KF and its extensions fail to accurately estimate the root zone soil water. The H‐infinity filter (HF) represents a robust version of the KF. The HF is widely used in data assimilation and is superior to the KF, especially when the performance of the model is not well understood. The objective of this study is to study the impact of uncertain soil hydraulic parameters, initial soil moisture content and observation period on the ability of HF assimilation to predict in situ soil water content. In this article, we study seven cases. The results show that the soil hydraulic parameters hold a critical role in the course of assimilation. When the soil hydraulic parameters are poorly estimated, an accurate estimation of root soil water content cannot be retrieved by the HF assimilation approach. When the estimated soil hydraulic parameters are similar to actual values, the soil water content at various depths can be accurately retrieved by the HF assimilation. The HF assimilation is not very sensitive to the initial soil water content, and the impact of the initial soil water content on the assimilation scheme can be eliminated after about 5–7 days. The observation interval is important for soil water profile distribution retrieval with the HF, and the shorter the observation interval, the shorter the time required to achieve actual soil water content. However, the retrieval results are not very accurate at a depth of 100 cm. Also it is complex to determine the weighting coefficient and the error attenuation parameter in the HF assimilation. In this article, the trial‐and‐error method was used to determine the weighting coefficient and the error attenuation parameter. After the first establishment of limited range of the parameters, ‘the best parameter set’ was selected from the range of values. For the soil conditions investigated, the HF assimilation results are better than the open‐loop results. Copyright © 2010 John Wiley & Sons, Ltd.     

A study on the bio-hydro mechanical effects of the tree roots on the Agaclı coal reclaimed – forested land

The research area that is in the north of Istanbul (Turkey) and it is a land of open pit coal mining residuals reclaimed and turned to forest in 1988–1989. The materials that are open pit mine spoils are formed by sandy loam, sandy clay loam, heavy loam and clay (noncalcareous Pliocene I sediments). Pseudoacacia (Robinia pseudoacacia), Maritima Pine (Pinus pinaster) and Stone Pine (Pinus pinea) are planted on these materials. The aims of this research were to determine the strength of the material provided by tree roots and evaluate the performance of the forestation practices at lands especially where open pit coal mining spoil (residual) materials piled up. The research has been performed at two stages. The first one was hydro-mechanical effect concerned about material moisture depletion as a result of transpiration and the second one was bio-mechanical effects due to strength parameters of the roots and their growth pattern within the material. All results were evaluated in relation to tensile strength and displacement curves due to pre and post failure behaviors of materials and root systems. The results showed the increase of the displacement of the material was the significant indicator of the bio-mechanics tensile strength of the material provided by the tree roots. The fast growing type of tree roots have stabilized the material up to a depth for 80–100 cm by covering the coal residual materials within 12 years.     

非线性半参数模型最小二乘核估计法方程系数阵的非奇异性质

本文基于非线性半参数模型最小二乘核估计的迭代解法,证明了非线性半参数模型最小二乘类估计法方程系数阵在一定条件下的非奇异性。这种性质可类推到非线性半参数模型的其他最小二乘类估计方法和其他非线性解算方法,这是对非线性半参数模型估计理论的初步推导。