内蒙古半干旱草原土壤水分对降水格局变化的响应

在全球气候变化背景下, 未来我国北方半干旱地区的降水格局将呈现出季节与年际间降水波动增强和极端降水事件增加的趋势。水分是半干旱草原的主要限制因子, 降水格局变化导致的土壤水分状况的改变必然对生态系统的结构和功能产生显著的影响。该研究选取内蒙古多伦和锡林浩特两个典型半干旱草原群落, 通过分析2006-2013年的降水和多层次土壤(0-10 cm, 10 cm, 20 cm, 30 cm和50 cm)含水量连续观测数据, 研究降水格局变化对土壤水分状况及其垂直分布的影响, 特别是土壤水分对降水事件的脉冲响应过程。结果表明: 两个站点的土壤含水量均呈现显著的季节及年际间波动, 其中土壤表层 0-10 cm水分波动更剧烈。锡林浩特50 cm处土壤含水量波动较大, 主要由于春季融雪的影响。年际间多伦和锡林浩特生长季土壤表层0-10 cm土壤含水量与降水量存在显著的正相关关系, 下层(10-50 cm)土壤含水量与降水量相关性不显著。研究发现小至2 mm的降水事件就能够引起两个站点表层0-10 cm土壤含水量的升高, 即该地区有效降水为日降水量> 2 mm。表层0-10 cm土壤含水量对独立降水事件的脉冲响应可通过指数方程很好地拟合。降水事件的大小决定了降水后表层0-10 cm土壤含水量的最大增量和持续时间, 同时这个脉冲响应过程还受到降水前土壤含水量的影响, 但该过程中并未发现植被因子(叶面积指数)的显著影响。降水后水分下渗深度及该深度的土壤含水量增量主要由降水事件的大小主导, 同时受到降水前土壤含水量的影响。在多伦和锡林浩特, 平均每增加1 mm降水, 下渗深度分别增加1.06和0.79 cm。由此作者认为, 在内蒙古半干旱草原, 降水事件大小和降水前土壤干湿状况是影响土壤水分对降水响应的主要因素, 而植被因子的影响较小。     

北亚热带地带性森林土壤温室气体通量对土地利用方式改变和降水减少的响应

弄清土地利用和降水变化对林地土壤主要温室气体(CO₂、CH₄和N₂O)排放通量变化的影响, 是准确评估森林土壤温室气体排放能力的重要基础。该研究以常绿落叶阔叶混交林原始林、桦木(Betula luminifera)次生林和马尾松(Pinus massoniana)人工林为对象, 采用静态箱-气相色谱法研究了3种土地利用方式(常绿落叶阔叶混交林原始林、桦木次生林和马尾松人工林)和降水减少处理状况下森林土壤CO₂、CH₄和N₂O通量排放特征, 并探讨了其环境驱动机制。研究结果表明: 原始林土壤CH₄吸收通量显著高于次生林和人工林, 次生林CH₄吸收通量显著高于人工林土壤。人工林土壤CO₂排放通量显著高于原始林和次生林土壤。次生林土壤N₂O排放通量高于原始林和人工林, 但三者间差异不显著。降水减半显著抑制了3种不同土地利用方式下林地土壤CH₄吸收通量; 降水减半处理对原始林和次生林土壤CO₂排放通量均具有显著的促进作用, 而对人工林土壤CO₂排放通量具有显著的抑制作用; 降水减半处理促进了原始林和人工林林地土壤N₂O排放而抑制了次生林林地土壤N₂O排放。原始林和次生林林地土壤CH₄吸收通量随土壤温度升高显著增加, CH₄吸收通量与土壤温度均呈显著相关关系; 原始林、次生林和人工林土壤CO₂和N₂O排放通量与土壤温度均呈显著正相关关系; 土壤湿度抑制了次生林和人工林土壤CH₄吸收通量, 其CH₄吸收通量随土壤湿度增加显著减少; 原始林土壤CO₂排放通量与土壤湿度呈显著正相关关系。自然状态下, 原始林土壤N₂O排放通量与土壤湿度呈显著正相关关系, 原始林和次生林土壤N₂O排放通量与硝态氮含量呈显著相关关系。研究结果表明全球气候变化(如降水变化)和土地利用方式的转变将对北亚热带森林林地土壤温室气体排放通量产生显著的影响。     

东江流域降水与径流演变趋势及周期特征分析

认识流域水文演变趋势和周期性规律对流域可持续发展规划具有重要的生态意义。基于1989-2011 年东江流域9 个气象站点的逐日降水数据和3 个水文代表站(龙川、河源和博罗)的日径流数据, 分别采用Mann-Kendall 趋势检验和小波分析方法对东江流域降水量和径流量变化趋势和周期特征进行了研究。结果表明1989-2011 年间东江流域年降水量和春冬季节降水量呈不显著的减少趋势, 而夏秋季节降水量有增多的趋势; 位于上、中、下游水文站点的年径流量和枯水期径流量均呈现不显著的下降趋势; 东江流域的降水和径流趋向于更加不均的时空分布特征,其周期性演变趋势的时空特征较一致; 年径流系数的变化幅度极小(Mann-Kendal 倾斜度接近0)。这项研究也将有益于位于亚热带类似的流域森林植被恢复的政策决定。     

CO2浓度升高和降水增加协同作用对玉米产量及生长发育的影响

关于[CO₂]升高和降水变化等多因子共同作用对植物的影响报道较少, 制约着人们对植物对全球气候变化响应的认识和预测。玉米(Zea mays)作为重要的C₄植物, 受[CO₂]和降水影响显著, 但鲜有[CO₂]升高和降水增加协同作用对其产量及生长发育影响的报道。该研究利用开顶式生长箱模拟[CO₂]升高(390 (环境)、450和550 μmol·mol^-1), 降水增加量设置为增加自然降水量的15% (以试验地锦州1981-2010年6至8月月平均降水量为基准), 从而形成6个处理: C₅₅₀W_+15%、C₅₅₀W₀、C₄₅₀W_+15%、C₄₅₀W₀、C₃₉₀W_+15%和C₃₉₀W₀。试验材料选用玉米品种‘丹玉39’。结果表明: [CO₂]升高和降水增加的协同作用在玉米的籽粒产量和生物产量上均达到了显著水平(p< 0.05), 二因子均起正作用, 使籽粒产量和生物产量均升高。籽粒产量在[CO₂] 390、450和550 μmol·mol^-1水平下的降水增加处理较自然降水处理分别增加15.94%、9.95%和9.45%, 而生物产量分别增加13.06%、8.13%和6.49%。因为籽粒产量的增幅略大于生物产量的增幅, 所以促进了经济系数的升高。穗部性状变化显著, 其中, 穗粒数、穗粒重、穗长和穗粗等性状值均随[CO₂]升高而升高, 且各[CO₂]水平下均表现为降水增加处理>自然降水处理, 而瘪粒数相反。但是, [CO₂]升高和降水增加的协同作用也促进了轴粗的升高, 对玉米产量的增加起着限制作用。二因子协同作用在净光合速率(P_n)和叶面积上达到了极显著水平(p< 0.01), 而在株高和干物质积累量上达到了显著水平(p< 0.05)。二因子协同作用使玉米叶片的P_n升高, 植株高度升高, 穗位高升高, 茎粗增加, 叶面积变大, 从而促进了干物质积累量的升高, 为玉米增产打下了良好的基础。这表明: 在未来[CO₂]升高条件下, 一定程度的降水增加对玉米的产量具有正向促进作用。     

高寒矮嵩草草甸群落植物多样性和初级生产力对模拟降水的响应

通过野外控制实验,研究了高寒矮嵩草草甸群落植物多样性、初级生产力对模拟降雨条件的响应.结果表明: 1 在植物生长期 6月 ,增加降雨20%、增加降雨40%,植物群落物种多样性指数 H 和均匀度指数 J 分别比对照提高了0.188和0.011、0.735和0.076,生长期 7月 增加降雨20%物种H和J提高了0.409和0.07; 2 禾草类:增加降雨20%处理的地上生物量与对照相比没有明显的显著性差异 P>0.05 ,增加降雨40%处理的地上生物量与对照相比差异显著 P<0.05 ,说明过多增加降雨会抑制禾草的生长发育.杂类草:减少降雨50%处理的地上生物量与对照相比差异显著 P<0.05 ,其地上生物量对减少降雨的反映比较敏感.莎草类:其地上生物量对增加和减少降雨都没有显著变化; 3 0～10cm和0～30cm土层地下生物量均在增加降雨20%时最高,地下生物量的总量也在增加降雨20%时最高; 4 矮嵩草草甸地下生物量与地上生物量、总生物量的比值接近于生长季末时最大,且在模拟增加降雨20%的水平时,7、8、9月份地下和地上生物量较其它处理组高.     

荒漠生态系统对大气CO2浓度升高响应的干湿年差异

利用一个基于详细生理学过程的生态系统模型PALS-FT,通过模拟实验分析了美国亚利桑那州(Arizona)首府凤凰城(Phoenix)市西郊的Larreatridentata荒漠生态系统在干湿年份(1988-2002年)对大气CO2浓度升高响应的差别。结果表明,生态系统地上净初级生产力(ANPP)和土壤有机质年累积速率(SOM)均随大气CO2浓度升高而呈非线性(湿年)或线性(正常年和干年)增加;所有年份的土壤N含量(Nsoil)则呈非线性显著下降。ANPP与SOM的绝对变化量总是湿年大于正常年和干年,相对变化量则与所分析的CO2处理水平有关;Nsoil的绝对变化量和相对变化量均为湿年大于正常年和干年。不同功能型的植物ANPP对大气CO2浓度升高的绝对变化量均为湿年大于正常年和干年;相对变化量则因具体植物功能型而异,灌木和亚灌木为干年大于正常年和湿年,一年生C3和C4草本均为湿年大于正常年和干年。因此,无论是生态系统水平还是植物功能型(或物种)水平,荒漠生态系统对未来大气CO2浓度升高的响应都将受降水格局的显著影响。     

鼎湖山流域下游浅层地下水动态变化及其机理研究

全球变暖和降水格局的改变将如何影响下垫面水文过程是一个被普遍关注的重大科学问题,然而要阐述其内在联系首先必须排除人类活动及土地格局变化的影响。论文以严格保护下的鼎湖山自然保护区为研究对象(排除人类活动及土地格局变化的影响),以其完整集水区下游区域地下水测井系统测定的地下水位数据为基础,拟阐述全球变暖和降水格局改变对该地区地下水位多年变化动态及趋势的影响机制。结果表明:2000年至2009年10 a间鼎湖山流域下游浅层地下水位由2000年的-2.27 m上升到2009年的-1.81 m,年均极显著(p = 0.005)上升0.043 m·a^-1;地下水位干湿季差异显著,湿季地下水位显著(p < 0.001) 高于干季,分别为-1.87±0.23 m、-2.25±0.15 m。时间序列上,干季地下水位无显著(p = 0.190)变化,湿季(1999-2009年)地下水位呈极显著(p = 0.002)上升趋势;日地下水位变异系数CV_wt = 0.20明显小于日降水量 CV_p = 2.77,日地下水位动态与前40 d的日降水量有关;地下水位的变化不能用同期内降水量变化(p = 0.294)解释,分析认为降水格局的变化是导致地下水位上升的基本原因。该研究对评估降水格局改变和全球变暖环境下,地下水资源的变化趋势有重要指示意义。     

荒漠区地表凋落物分解对季节性降水增加的响应

为探讨季节性降水增加对荒漠生态系统凋落物分解的影响, 在古尔班通古特沙漠南缘, 选择粗柄独尾草(Eremurus inderiensis)叶、尖喙牻牛儿苗(Erodium oxyrrhynchum)叶、尖喙牻牛儿苗茎、沙漠绢蒿(Seriphidium santolinum)茎4种凋落物样品, 在2009-2011年研究了模拟季节降水增加(冬春增雪、夏季增水)和自然降水处理下凋落物的分解。持续2年的分解实验表明: (1)各组分凋落物的质量损失过程可以用负指数衰减方程较好地拟合(R²> 0.90); 经过637天的分解, 各组分凋落物质量残留率在自然降水、冬春增雪、夏季增水处理下均无显著性差异(p > 0.05)。粗柄独尾草叶、尖喙牻牛儿苗叶、尖喙牻牛儿苗茎、沙漠绢蒿茎在自然降水处理下的质量残留率分别为40.59%、35.50%、36.00%和63.96%; (2)各组分凋落物的质量残留率与N残留率显著正相关, 凋落物N的损失快于其质量损失, 且初始N含量与分解速率显著正相关(r = 0.60, p = 0.038), C/N解释了71%的地面凋落物分解速率。研究表明, 季节性的短暂降水增加对荒漠区地表凋落物分解没有显著影响, 凋落物初始化学组成是预测荒漠区地表凋落物分解的重要因素。     

Characteristics of normalized difference vegetation index of biological soil crust during the succession process of artificial sand-fixing vegetation in the Tengger Desert,Northern China

Aims Biological soil crust (hereafter crust) affects normalized difference vegetation index (NDVI) values in arid desert ecosystems. This study aimed to demonstrate the feasibility of combining crust NDVI values with meteorological data to distinguish the crust successional stage at the regional scale. Meanwhile, the characteristics of crust NDVI could provide the basis for the error analysis of NDVI-based surface ecological parameters estimation in desert ecosystems. We also suggested the optimum periods for crust observation based on the multi-temporal remote sensing images.Methods NDVI values of five types of dominant crusts, three typical sand-fixing shrubs and bare sand were collected by spectrometer in the field. Crusts and shrubs were randomly selected in revegetated areas established in 1956, 1964, and 1973 at Shapotou, which is on the southeastern edge of the Tengger Desert. We used the space-for-time method to study the characteristics of crust NDVI values and their responses to precipitation and temperature during the succession process of artificial sand-fixing vegetation. Additionally, we evaluated the contribution of crust NDVI values to the whole ecosystem NDVI values by comparing the NDVI values of crusts, shrubs and bare sand.Important findings 1) With succession process of the artificial sand-fixing vegetation, the crust NDVI values significantly increased. Among different crust types, we found the following order of NDVI values: Didymodon vinealis crust > Bryum argenteum crust > mixed crust > lichen crust > algae crust. 2) Crust NDVI values were significantly affected by precipitation, temperature and their interaction, and the influences showed significant seasonal differences. Furthermore, we found significantly linear correlations between crust NDVI value and precipitation, and between crust NDVI value and the shallow soil moisture content covered by crust. A significantly negative linear correlation between daily mean temperature and crust NDVI value, and a significantly exponential correlation between the surface temperature of crust and its NDVI value. With the succession process of artificial sand-fixing vegetation, the response of crust NDVI value to precipitation and temperature became more sensitive. In addition, the response of crust NDVI value to temperature was more sensitive in spring than in summer, while that to precipitation was less sensitive in spring than in summer. 3) Moss crust NDVI value was significantly higher than that of shrubs and bare sand after the rainfall event in spring, while shrubs NDVI value was significantly higher than that of crust after the rainfall event in summer. Considering the coverage weights of different ground features in sand-fixing areas, crust NDVI values contributed 90.01% and 82.53% in spring and summer, respectively, to the regional NDVI values, which were higher than those of shrubs (9.99% and 17.47% in spring and in summer, respectively). Additionally, with the succession process of artificial sand-fixing vegetation, crust NDVI values contributed more, while shrubs contributed less to regional NDVI values.     

Responses of soil respiration with biocrust cover to water and temperature in the southeastern edge of Tengger Desert,Northwest China

Aims Soil respiration of the lands covered by biocrusts is an important component in the carbon cycle of arid, semi-arid and dry-subhumid ecosystems (drylands hereafter), and one of the key processes in the carbon cycle of drylands. However, the responses of the rate of soil respiration with biocrusts to water and temperature are uncertain in the investigations of the effects of experimental warming and precipitation patterns on CO₂ fluxes in biocrust dominated ecosystems. The objectives of this study were to investigate the relationships of carbon release from the biocrust-soil systems with water and temperature in drylands. Methods Intact soil columns with two types of biocrusts, including moss and algae-lichen crusts, were collected in a natural vegetation area in the southeastern fringe of the Tengger Desert. Open top chambers were used to simulate climate warming, and the soil respiration rate was measured under warming and non-warming treatments using an automated soil respiration system (LI-8150). Important findings Over the whole observational period (from April 2016 to July 2016), soil respiration rates varied from -0.16 to 4.69 μmol·m^-2·s^-1 for the moss crust-covered soils and from -0.21 to 5.72 μmol·m^-2·s^-1 for the algae-lichen crust-covered soils, respectively, under different rainfall events (the precipitations between 0.3-30.0 mm). The mean soil respiration rate of the moss crust-covered soils is 1.09 μmol·m^-2·s^-1, which is higher than that of the algae-lichen crust-covered soils of 0.94 μmol·m^-2·s^-1. The soil respiration rate of the two types of biocrust-covered soils showed different dynamics and spatial heterogeneities with rainfall events, and were positively correlated with precipitation. The mean soil respiration rate of the biocrust-covered soils without warming was 1.24 μmol·m^-2·s^-1, significantly higher than that with warming treatments of 0.79 μmol·m^-2·s^-1 (p < 0.05). By increasing the evaporation of soil moisture, the simulated warming impeded soil respiration. In most cases, soil temperature and soil respiration rate displayed a similar single-peak curve during the diel cycle. Our results show an approximately two hours’ lag between soil temperature at 5 cm depth and the soil respiration rate of the biocrust-covered soils during the diel cycle.