晋西黄土区土地利用对降雨入渗产流模式和优先流分布的影响试验研究

黄土高原退耕还林(草)工程显著改变了河川径流过程,但其作用机制尚不明晰。选取晋西黄土区4种典型下垫面(20年和30年刺槐人工林地、草地、休耕地)分别开展连续3场模拟降雨试验,观测坡面入渗产流过程,并结合染色示踪和图像处理软件技术,分析土地利用类型对坡面降雨入渗产流模式和优先流分布的影响。结果表明：(1)累积入渗量和优先流发育程度均表现为刺槐林地>草地>休耕地,刺槐林地优先流对总入渗的贡献是草地和休耕地的2.5—4.5倍,但优先流贡献均不超过10%,仍以基质流入渗为主。(2)4种用地类型降雨入渗主要补给地表60—70cm土层,前期降雨均匀增加表层土壤含水率,而后期降雨补给深层土壤水分的空间变异性显著增强。(3)刺槐林地产流量及径流系数均显著小于草地和休耕地,且前期含水量对20年刺槐林地的影响较小,而显著影响草地和休耕地径流系数。(4)直径d<1mm的细根显著促进降雨入渗和优先流发育,而d>5mm的粗根与入渗量和基质流量呈显著负相关。较高的土壤初始含水率、容重和粘粒含量会抑制入渗和优先流的发生。研究说明不同土地利用类型将改变降雨入渗产流过程及土壤水运动形式。     

宁夏农牧交错带土地利用变化对土壤质量的影响

在宁夏盐池县分别选取农田、弃耕地、天然草地、人工柠条林地和杨树林地5种土地利用类型作为研究样地,测定土壤理化性质指标,采用土壤质量综合技术指标,阐明中国北方典型农牧交错带土地利用变化对土壤质量的影响规律。结果表明:(1)土壤粗砂粒表现为弃耕地和天然草地显著高于农田、人工柠条林地和杨树林地(P0.05),土壤细砂粒表现为杨树林地显著高于农田、弃耕地、天然草地和人工柠条林地(P0.05),土壤极细砂粒和土壤黏粉粒均表现为农田和人工柠条林地显著高于弃耕地、天然草地和杨树林地(P0.05)。土壤含水量、土壤pH值和土壤电导率表现为农田显著高于弃耕地、天然草地、人工柠条林地和杨树林地(P0.05)。土壤有机碳含量表现为弃耕地和柠条林地显著高于农田、天然草地和杨树林地(P0.05)。土壤全氮含量表现为农田显著高于弃耕地、天然草地、柠条林地和杨树林地(P0.05)。(2)不同土地利用类型的土壤质量指标之间存在显著相关性(P0.05)。其中,杨树林地各评价指标之间的相关系数最高,天然草地次之,农田、柠条林地较低,而弃耕地最低。(3)土壤质量综合得分大小顺序为:农田弃耕地0草地柠条林地杨树林地。研究表明,对水浇农田实行保护性耕作和精细管理,并且农田弃耕后自然恢复成草地,有利于宁夏农牧交错带沙地土壤质量改善,但天然草地和人工林建设样地土壤质量较差。     

宁南黄土丘陵区不同植被下土壤入渗性能

应用新型的坡面人工模拟降雨条件下径流-入渗-产流测量仪器，野外测定了宁夏南部山区不同植被下不同雨强的土壤入渗性能，并分析了不同植被下土壤团聚体含量与土壤稳渗率的关系.结果表明，不同植被类型土壤入渗率与降雨历时之间的关系曲线均符合幂函数y=a+be^-cx(R²=0.9678～0.9969).随着雨强的增大，坡耕地的土壤稳渗率降低，而苜蓿地、天然草地及柠条林地则增大.20 mm·h^-1雨强下，土壤降雨入渗转化率依次为苜蓿地>坡耕地>天然草地>柠条林地；40和56 mm·h^-1雨强下，土壤降雨入渗转化率依次为苜蓿地>天然草地>坡耕地、柠条林地；土壤降雨入渗转化率随着雨强的增大而降低.坡耕地退耕后，随着植被的恢复，土壤>0.25 mm水稳性团聚体含量增加，土壤入渗性能提高.研究区植被的恢复与重建改善了土壤结构、提高了土壤入渗性能和坡面降雨利用潜力.     

川西亚高山林区不同土地利用与土地覆盖的地被物及土壤持水特征

川西亚高山森林是我国西南亚高山水源涵养林的重要组成部分.随着20世纪中叶以来农业人口的增加和森林的开发利用,受干扰强度、频度和干扰时间的影响,原始暗针叶林退化为耕地、草地、灌丛、次生阔叶林或人工林.1998年后,该区相继启动天然林保护工程和退耕还林工程.为评价工程效益,确定长江上游水源涵养林的恢复与重建模式,需要进行不同土地利用类型之间生态水文效应的对比分析.通过野外调查与室内实验,对比分析了川西亚高山林区农田、草地、退耕还林地、灌丛、次生桦木林、人工云杉林和老龄针叶林的地被物(苔藓与枯落物)和土壤持水特征,结果表明:不同土地利用与覆盖类型间地被物和土壤持水性能差异显著.随着干扰程度的增加,苔藓、枯落物蓄积量及最大持水量下降,土壤容重增加,土壤持水性能下降.苔藓最大持水量排序是老龄针叶林>人工云杉林>天然次生林>灌丛.枯落物最大持水量排序是老龄针叶林>天然次生林>人工云杉林>灌丛>草地>退耕还林地.人工云杉林与天然次生林之间、草地与退耕还林地之间苔藓和枯落物最大持水量没有显著差异.土壤0～40cm最大持水量排序是天然次生林>老龄针叶林>人工云杉林>灌丛>农田>草地>退耕还林地,其中天然次生林显著高于人工云杉林,草地与退耕还林地之间没有显著差异.对于森林恢复途径和树种的选择,需要考虑未来林分的多种生态系统服务功能.     

黄土区被草土质路面产流产沙过程及防蚀效果

通过变坡钢槽装土和人工降雨的室内模拟试验,分析了黄土区裸露土质路和被草土质路(被草土质路种植早熟禾)路面的产流产沙过程及被草土质路的防蚀效果.结果表明:在相同雨强和坡度条件下,研究区被草土质路的径流系数大于裸露土质路;两种路面的径流系数均随着雨强和坡度的增加而增大;不同雨强、相同坡度条件下,径流系数与降雨历时呈对数关系,径流系数与雨强、坡度呈二次函数关系;两种路面的土壤侵蚀速率均随着雨强和坡度的增加而增大;相同降雨条件下,被草土质路的土壤侵蚀速率低于裸露土质路;在不同雨强条件下,被草土质路的平均减沙效益达47.22%;在不同坡度条件下,被草土质路的平均减沙效益达26.24%;被草土质路通过增加路面糙度和增大路面阻力可降低水流搬运泥沙的能力,起到了减少路面产沙量的作用.     

黄土丘陵沟壑区典型流域土地利用/土地覆被变化水文动态响应

以黄土高原第三副区桥子东、西沟流域为例,分析了土地利用／土地覆被变化的水文动态响应。研究结果表明：土地利用／土地覆被对年径流有显著影响,治理流域较未治理流域在丰水年、平水年和枯水年的径流系数分别减少约50％、85％和90％;流域土地利用后期（1995～2004年）较前期（1986～1994年）多年平均径流系数下降73．6％,且随降雨增多,土地利用与植被变化对径流的响应增强。土地利用／土地覆被变化对径流量的影响具有季节性特征,治理与非治理流域多年平均最大月径流系数减少时期与流域最大地表覆盖期具有一致性,即5月份径流系数减少值最大;同一降水条件下流域两期土地利用的产流量仅在生长季具有明显的差异。流域洪水径流量与场降雨量和30min最大雨强有较好的相关关系,场降雨量与30min雨强对治理流域洪水流量的影响要强于非治理流域;暴雨在达到一定强度后,对比流域的洪峰流量差异减小,即森林植被对洪水的影响减弱。经洪水频率分析,认为流域前后两期土地利用若具有相同频率的降雨强度,则一定频率范围内洪峰流量对土地利用与植被变化产生明显响应。     

基于黄土高原关键带类型的土地利用与年径流产沙关系空间分异研究

区域植被恢复改变了土地利用类型,从而有效控制了水土流失,但土地利用与水土流失关系的空间分异尚未明晰。整合了黄土高原坡面径流小区试验观测研究文献59篇和1121条年径流产沙记录,以8大关键带类型作为空间分层依据,采用地理探测器分析了土地利用与年径流产沙关系的空间分异。结果显示：撂荒地的年均径流量和产沙量最高分别为35.99 mm和4208.82 g/m²,撂荒地、裸地和耕地的产流产沙能力显著高于人工草地、林地、自然草地和灌丛,灌丛和林地的年均产沙量显著低于人工和自然草地（P<0.05）;除了撂荒地的年均产沙量在山地森林关键带最高（16240.40 g/m²）外,在丘陵沟壑农林草交错关键带的撂荒地年均径流产沙显著高于丘陵农业-草地关键带,丘陵沟壑农林草交错关键带和丘陵农业-草地关键带裸地、耕地的产流产沙能力较高,人工草地和灌丛年均产沙量显著高于其他关键带类型（P<0.05）;在山地森林关键带的林地年均径流量、径流系数和产沙量最低,分别为1.56 mm、0.41%和307.36 g/m²,而自然草地在各关键带类型都有较高的年均产流量和较低的年均产沙量;坡面径流小区的局地特征（如土地利用、面积、坡度、坡长）是影响年径流产沙关键带分异的首要因素,且存在多因子互作、非线性增强的关系。这些结果表明植被恢复能有效地保持水土,但是区域植被恢复时需要选择合适的类型,黄土丘陵沟壑区应首选自然草地、灌丛和林地。研究可为黄土高原区域植被恢复的优化配置提供科学依据。     

竹林坡地径流中泥沙及氮磷载荷特征模拟

采用人工模拟降雨的试验手段,设定6个降雨强度(31.8～114.0 mm·h-1),通过测试径流量、泥沙量、径流中总氮(TN)和总磷(TP)浓度,研究了浙江省2种不同经营方式竹林(用材竹林和笋竹林)坡地(坡度20°)径流的载荷特征及机理.结果表明:用材竹林地的总径流量和径流系数均高于笋竹林地;笋竹林地的径流含沙量和总产沙量远大于用材竹林地;相同雨强下,笋竹林地降雨径流中的TN浓度为用材竹林地的5～6倍,笋竹林坡地径流中TN浓度随雨强增大而减小;用材竹林地降雨径流中TP浓度高于笋竹林地,笋竹林地泥沙中TP流失量是用材竹林地的数百倍;在TN和TP随径流泥沙的流失过程中,产流前期浓度起主要作用,后期径流量和产沙量起决定作用.     

不同降雨条件下坡长对喀斯特坡面土壤侵蚀的影响

基于2012—2014年对贵州省石桥小流域布设的5个坡长(5、10、15、20、25 m)径流小区的59次侵蚀性降雨条件下的产流产沙数据,分析不同降雨条件下喀斯特裸坡产流产沙与坡长的关系。结果表明: 研究区坡面产流量随坡长的增加总体呈先减少后增加再减少的趋势,产沙量随坡长的增加先上升后下降。研究区59次侵蚀性降雨按降雨量、降雨历时和平均雨强可分为3种雨型,分别为A雨型(短历时、大雨强、小雨量)、B雨型(中历时、小雨强、中雨量)、C雨型(长历时、中雨强、大雨量)。不同雨型下坡面产流产沙量与坡长的关系存在一定差异,A和B雨型下存在20 m左右的临界产沙坡长,C雨型下产沙量随坡长的增加逐渐加大。不同雨型下,坡长与产流产沙量均存在较好的三次函数关系。不同坡长间产流产沙量的变幅不同,除15~20 m坡长外,C雨型产流产沙量变幅相对较大,尤其产沙量的变幅显著高于其他雨型。不同雨型的坡面产流总量依次为A雨型＞B雨型＞C雨型;B雨型坡面产沙量最小,20 m坡长处A雨型产沙量最大,其他坡长处C雨型产沙量最大。A雨型(研究区常见雨型)下降雨复合因子较降雨单因子与产流产沙量的相关性更好,降雨量(P)、降雨历时与最大30 min雨强的乘积(TI₃₀)、降雨历时与平均雨强的乘积(TI)、降雨量与降雨历时的乘积(PT)与产流产沙呈极显著相关,其中,P和TI与产流量的相关性最强,二者与产流量在不同坡长间的关系可用线性方程和S型曲线表示,各坡长产沙量与其对应的降雨因子均存在较好的3次函数关系。     

晋西黄土区土壤水分动态变化与植被群落关系研究

土壤水分是晋西黄土区植被群落生长与恢复的主要限制因素,为定量探讨该区域不同植被群落土壤水分变化规律,选择山西吉县蔡家川流域3种典型植被群落（油松人工林、刺槐人工林、天然次生林）为研究对象,研究土壤水分时空变化特征,以及土壤水分与降雨、气温和土壤养分的变化关系。结果表明：（1）近10年,研究区降雨分布极不均匀,表现为降雨前期不足,集中在中后期;近10年植被群落生长季,天然次生林土壤水分最大,刺槐林最小,且两者存在显著差异,但均与油松林地差异不显著;（2）研究区3种植被群落0~60 cm土层中根系分布存在差异。其中,同种植被群落不同土层间根系分布均存在显著差异;不同植被群落中,天然次生林与油松、刺槐林的根系分布在20~60 cm土层存在显著差异;（3）研究区植被群落土壤水分具有明显分层现象,即0~40 cm土层土壤水分变化较大,而40~100 cm土层波动较小,基本维持在10%~15%;表土层（0~40 cm）土壤水分变化与植被根系分布有关,且植被根系分布与土壤水分呈显著负相关;（4）通过对土壤水分与降雨、气温、有机碳、全氮、全磷、全钾等因素进行分析,发现土壤水分与降雨呈显著正相关,油松林地相关系数最高;气温只与次生林的土壤水分呈显著正相关;土壤水分与有机碳、全氮、全磷、全钾存在正相关,其中与全磷相关度最高。     

雨强对黄土坡面土壤水分入渗及再分布的影响

基于典型黄土的坡地人工降雨实验,对比研究了降雨、入渗及再分布规律;以雨强为主要影响因素,分析了降雨入渗及水分再分布过程中水土物质迁移的定量关系．结果表明,雨强变化对黄土坡面降雨入渗及土壤水分再分布的微观水分运动过程具有重要影响．雨强增大时,入渗和再分布湿润锋均随降雨历时延长而逐渐增加,但水分再分布过程的湿润锋增加速率比入渗慢得多;入渗湿润锋与时间关系可用幂函数表示,同时可表示为雨强的幂函数关系．再分布湿润锋与时间也存在定量关系．雨强越大,初始和稳定的土壤水分入渗率越高,累积入渗量随降雨时间增加得越快．此外,雨强越大,坡顶与坡脚湿润锋深度差异越小,坡面再分布过程的土壤含水量在各层的差异和递减趋势越明显．     

Plant functional assembly is mediated by rainfall and soil conditions in a seasonally dry tropical forest

Understanding how species assembly is influenced by the interplay of climate, local environmental conditions and human-caused disturbances remains a central question in ecology and conservation. Here, we assess how plant species abundance is determined by combinations of functional traits (ecological strategies) and interacting gradients of rainfall, soil conditions (fertility and field capacity) and chronic anthropogenic disturbance in a Caatinga dry tropical forest, Brazil. We tested for trait–environment relationships using multivariate methods (RLQ) accounting for groups of species sharing similar responses to gradients and similar expression of multiple traits (i.e. response groups). Overall, species’ abundances changed predictably in response to rainfall and soil fertility, and were mediated by functional traits, i.e. species with particular trait combinations tended to respond similarly to multifactorial conditions. Briefly, three ecological strategies emerged: species with low wood density and soft (i.e. lower dry matter content), thick leaves converged into a trait syndrome characterizing a drought-avoidance strategy through water storage. They were particularly abundant under extremely low precipitation and relatively high soil field capacity. Under conditions of increasing rainfall and decreasing soil field capacity, species with high wood density were favored, consistent with a drought-tolerance strategy. However, these species fell into two groups relative to leaf-investment: more conservative leaves (low SLA) on relatively fertile soils vs. thinner and softer (i.e. high SLA) leaves on unfertile soils. In seasonally dry tropical forests, low SLA on relatively fertile soils may represent a water conservation strategy. Unexpectedly, no ecological strategy emerged in response to disturbance. The patterns we uncovered help to understand the interplay between precipitation, soil fertility and anthropogenic disturbance in plant species filtering in seasonally dry tropical forests. Moreover, our results underline that impacts of future climate change will depend on how rainfall patterns covary with finer-scale environmental factors such as soil fertility and field capacity.     

Episodic stemflow inputs of magnesium and potassium to a tropical forest floor during heavy rainfall events

Summary Stemflow inputs of magnesium and potassium were measured from 57 canopy trees representing eight species under heavy rainfall conditions in two tropical forest sites in northeast Queensland, Australia. In the premontane tropical moist forest site on the Atherton Tableland, the stemflow input per unit trunk basal area of 51 canopy trees was found to be 0.46 g m^-2 of Mg²⁺ and 4.22 g m^-2 of K⁺ for an average wet season rainday of 99 mm. In the wetter montane tropical rainforest site on Mount Bellenden Ker, the stemflow input per unit trunk basal area of six canopy trees was 5.55 g m^-2 of Mg²⁺ and 9.12 g m^-2 of K⁺ for a wet season rainday of 38 mm. These stemflow inputs from single raindays are greater than the mean annual rainfall input and are almost of the same order of magnitude as the mean annual throughfall input of these cations to areas equal to the trunk basal area from which the stemflow was collected. Stemflow cation fluxes of this magnitude are mainly attributable to the funnelling of large quantities of rainwater down the trunks of these canopy trees by their thoroughly wetted, upwardly inclined branches.     

微孔地膜覆盖玉米的纳雨通气效应

为提高半干旱地区<10 mm降雨的有效性和改善地膜覆盖土壤环境的通气性,初步研究了微孔地膜覆盖效应.结果表明,微孔地膜覆盖处理具有纳雨补墒功能,可提高膜下土壤的含水量.随着塑膜覆盖度的增加,土壤中CO₂浓度显著增高;孔膜覆盖处理的CO₂浓度都较相应幅宽的普膜低,玉米植株根活力较高.根活力与土壤CO₂浓度呈负相关.孔膜覆盖较普膜覆盖的玉米产量提高8.98%     

Implications of biofuel policy‐driven land cover change for rainfall erosivity and soil erosion in the United States

Large‐scale conversion of traditional agricultural cropping systems to biofuel cropping systems is predicted to have significant impact on the hydrologic cycle. Changes in the hydrologic cycle lead to changes in rainfall and its erosive power, and consequently soil erosion that will have onsite impacts on soil quality and crop productivity, and offsite impacts on water quality and quantity. We examine regional change in rainfall erosivity and soil erosion resulting from biofuel policy‐induced land use/land cover (LULC) change. Regional climate is simulated under current and biofuel LULC scenarios for the period 1979–2004 using the Weather Research Forecast (WRF) model coupled to the NOAH land surface model. The magnitude of change in rainfall erosivity under the biofuel scenario is 1.5–3 times higher than the change in total annual rainfall. Over most of the conterminous United States (~56%), the magnitude of the change in erosivity is between ?2.5% and +2.5%. A decrease in erosivity of magnitude 2.5–10% is predicted over 23% of the area, whereas an increase of the same magnitude is predicted over 14% of the area. Corresponding to the changes in rainfall erosivity and crop cover, a decrease in soil loss is predicted over 60% of the area under the biofuel scenario. In Kansas and Oklahoma, the states in which a large fraction of land area is planted with switchgrass under the biofuel scenario, soil loss is estimated to decrease 12% relative to the baseline. This reduction in soil loss is due more to changes in the crop cover factor than changes in rainfall or rainfall erosivity. This indicates that the changes in LULC, due to future cellulosic biofuel feedstock production, can have significant implications for regional soil and water resources in the United States and we recommend detailed investigation of the trade‐offs between land use and management options.     

Productivity responses to altered rainfall patterns in a C<Subscript>4</Subscript>-dominated grassland

Rainfall variability is a key driver of ecosystem structure and function in grasslands worldwide. Changes in rainfall patterns predicted by global climate models for the central United States are expected to cause lower and increasingly variable soil water availability, which may impact net primary production and plant species composition in native Great Plains grasslands. We experimentally altered the timing and quantity of growing season rainfall inputs by lengthening inter-rainfall dry intervals by 50%, reducing rainfall quantities by 30%, or both, compared to the ambient rainfall regime in a native tallgrass prairie ecosystem in northeastern Kansas. Over three growing seasons, increased rainfall variability caused by altered rainfall timing with no change in total rainfall quantity led to lower and more variable soil water content (0–30 cm depth), a ~10% reduction in aboveground net primary productivity (ANPP), increased root to shoot ratios, and greater canopy photon flux density at 30 cm above the soil surface. Lower total ANPP primarily resulted from reduced growth, biomass and flowering of subdominant warm-season C₄ grasses while productivity of the dominant C₄ grass Andropogon gerardii was relatively unresponsive. In general, vegetation responses to increased soil water content variability were at least equal to those caused by imposing a 30% reduction in rainfall quantity without altering the timing of rainfall inputs. Reduced ANPP most likely resulted from direct effects of soil moisture deficits on root activity, plant water status, and photosynthesis. Altered rainfall regimes are likely to be an important element of climate change scenarios in this grassland, and the nature of interactions with other climate change elements remains a significant challenge for predicting ecosystem responses to climate change.     

Plant biotests in the bioindication of the rainfall pollution in an oil refinery region

Summary In the bioindication of rain water pollution in an oil refinery region beetroot, bean and cucumber are suitable testplants.     

Patterned vegetation and rainfall intermittency

We study a mathematical model for the dynamics of patterned dryland vegetation in the presence of rainfall intermittency, adopting a spatially explicit approach. We find that most results found for constant precipitation carry over to the case of intermittent rainfall, with a few important novelties. For intermittent precipitation, the functional forms of the water uptake and consequently of the vegetation growth rate play an important role. Nonlinear, concave-up forms of water uptake as a function of soil moisture lead to a beneficial effect of rainfall intermittency, with a stronger effect when vegetation feedbacks are absent. The results obtained with the explicit-space model employed here are in keeping with those provided by simpler, implicit-space approaches, and provide a more complete view of vegetation dynamics in arid ecosystems.     

The impact of rainfall magnitude on the performance of digital soil mapping over low-relief areas using a land surface dynamic feedback method

Previous studies have demonstrated that the pattern of land surface dynamic feedbacks (LSDF) based on remote sensing images after a rainfall event can be used to derive environmental covariates to assist in predicting soil texture variation over low-relief areas. However, the impact of the rainfall magnitude on the performance of these covariates has not been thoroughly investigated. The objective of this study was to investigate this impact during ten observation periods following rainfall events of different magnitudes (0–40 mm). An individual predictive soil mapping method (iPSM) was used to predict soil texture over space based on the environmental covariates derived from land surface dynamic feedbacks. The prediction error showed strong negative correlation with rainfall magnitude (Pearson’s r between root-mean squared error of prediction and rainfall magnitude = −0.943 for percentage of sand and −0.883 for percentage of clay). When the rainfall reaches a certain magnitude, the prediction error becomes stable. The recommended rain magnitude (threshold) using LSDF method in this study area is larger than 20 mm for both sand and clay percentage. The predictive maps based on different observed periods with similar rainfall magnitudes show only slight differences. Rainfall magnitude can thus be said to have a significant impact on the prediction accuracy of soil texture mapping. Greater rainfall magnitude will improve the prediction accuracy when using the LSDF. And high wind speed, high evaporation and low relative humidity during the observed periods also improved the prediction accuracy, all by stimulating differential soil drying.