水力侵蚀对砒砂岩区土壤有机碳空间变异性的影响

以侵蚀剧烈的砒砂岩区为研究对象，应用地统计学Kriging插值法准确描述水力侵蚀下土壤有机碳空间动态迁移过程来探究侵蚀与碳平衡的关系并为有效治理砒砂岩区坡面水土流失提供科学的参考。结果表明：（1）降雨前后各土层有机碳均随着土层增加而减少，表现为中等变异、空间自相关均为正相关且0—10 cm土层自相关性最大。降雨后0—20 cm土层有机碳含量减少而20—40 cm土层增加，且各土层变异程度均较雨前减弱。（2）降雨前后土壤有机碳分别与高斯模型，球状模型较为拟合，且变程值均随土层增加而增大。降雨前后0—10 cm土层表现均为强烈空间相关性且雨后结构比增大，而10—40 cm均为中等相关性雨后结构比减小。（3）降雨后空间异质性减弱斑块面积变大，总体表现为同一土层坡上侵蚀坡下沉积，而不同土层下0—20 cm土层表现为侵蚀，20—40 cm土层表现为沉积。（4）降雨前后土壤有机碳均与黏粒呈现较显著正相关，其中降雨前0—10 cm土层有机碳与黏粒为极显著正相关，降雨后各土层相关性增强均为极显著正相关。但降雨前后土壤有机碳与粉粒相关性均较小且不显著，与砂粒则基本表现为负相关。     

Soil carbon change across ten New South Wales farms under different farm management regimes in Australia

This paper examines the potential influence of soil management and land use on soil carbon on cropping farms in New South Wales (NSW), Australia. Soil organic carbon (SOC) data from ten farms spatially distributed across NSW were examined on two occasions. Soil cores to a depth 0–30 cm were measured for SOC and, as expected, SOC in the A horizon (1.16%) was significantly (p < .001) greater than in the B horizon (0.74%) of all profiles. Analysis of the 2013 and 2015 SOC data indicated that in many ways, the results runs counter to other SOC studies in Australia. Importantly, the mean SOC concentration in these agricultural soils was significantly (p < .001) less under cropping (2013-1.05%, 2015-0.97%) than in native sites (2013-1.20%, 2015-1.16%). Out of the total of 35 sites sampled from 10 farms, SOC in 49% of sites did not change significantly over 2 years, in 17% it increased significantly, whereas in 34% it decreased. Further, a clear implication of drought on SOC was seen on sites that were uncropped based on a critical value for a 95% confidence interval (p < .05) and complemented by the significant correlation (p < .05) between average annual precipitation deficit (ANPD) and SOC across the state with R² = 0.39. The mean SOC was found to be directly proportional to standard deviation and standard error. In terms of spatial variability, the C0 (nugget) value was greatest for farms with a large mean SOC and the average variogram in this study has a range of approximately 200 m which is potentially useful in determining sampling spacing for soil carbon auditing purpose. Similar empirical data over more years are required to better estimate SOC levels and to determine whether at a farm scale, factors such as land management, land use and climate can be related to soil carbon change and variability.     

怀化地区强降水过程中的GPS可降水量特征分析

利用改进的天顶静力延迟（ZHD）模型和本地化水汽权重平均温度（Ts）模型反演怀化地区GPS可降水量（GPS-PWV），并结合自动气象站逐小时资料分析了2017年怀化地区大气水汽变化及汛期14次暴雨以上降水过程的GPS-PWV演变特征。结果表明：GPS-PWV可较好反映怀化地区大气水汽的变化特征。怀化地区可降水量-气压（PWV-P）分布月变化特征明显，冬季PWV较低且变化范围较小，降水发生时气压较夏季平均高14.75 hPa；春季PWV逐步增大，降水发生时气压较冬季有所降低；夏季PWV为全年最高，降水发生时气压则降至全年最低值；秋季PWV-P数据逐渐分散并向可降水量低值区移动，分布情况逐步趋近冬季。2017年汛期怀化地区14次强降水过程中PWV均高于各月均值，最大小时降水量与最大PWV存在较好对应关系；降水开始前，PWV出现较明显上升，且多伴随气压较明显下降，可为局地强降水短临预警提供较好参考。     

基于低影响开发的校园雨水控制及效益分析

以安徽理工大学为研究对象,应用4种低影响开发(LID)方案(植草沟、下沉式绿地、雨水罐和植草沟-下沉式绿地-雨水罐组合)构建雨洪管理模型(SWMM),模拟不同雨水重现期下各种LID方案的水文和水质性能,并评价了经济效益.结果表明:植草沟的径流削减效率最好,可延迟流量峰现时间,且能有效地削减污染负荷;除雨水罐外,另外3种LID实践方案具有良好的环境效益;从成本效益上分析,下沉式绿地和组合LID实践方案的污染物控制效果较好,但其单位削减率成本高,植草沟对污染物控制效果不理想,但其具有最低的单位削减率;若想取得较好的污染物控制效果,则需要投入更大的成本,可以采用下沉式绿地或组合LID实践方案,下沉式绿地或组合LID实践方案不仅能有效削减峰值流量,缓解城市排水管网负荷,且对污染物的削减效果较好.可为中国校园中LID实践的应用决策提供理论支持.     

基于GIS和迈阿密模型的全球灌溉需水量计算

通过计算光温生产潜力、气候生产潜力、光温潜力需水量、灌溉需水量以及衍生的可持续垦殖率指标，以解决农业生产潜力、农田熟制、灌溉定额、宜农荒地垦殖适宜性评价等农业发展问题。以迈阿密模型为理论基础，利用GIS空间分析的研究方法，计算出了上述指标的高精度全球分布场，得出全球光温生产潜力为2 260×10⁸ t干物质，气候生产潜力为1 253×10⁸ t干物质，灌溉需水量总计为12 441 km³。主要结论有：热带雨林区除外，全球气候生产潜力高值区同当前农业区高度吻合，表明农田气候潜力已经被人类充分利用；在温带地区，可持续覆膜雨养垦殖率＞2/3的地区适宜开垦宜农荒地，发展雨养农业。根据迈阿密模型计算得出的灌溉需水量可作为制定农田喷灌定额的重要依据；覆膜滴灌节水效果最佳，可持续覆膜滴灌垦殖率为各种垦殖率中最大值，可作为指导宜农荒地资源开发和多熟制农业发展的主要指标。     

基于数字化植物表型平台（D3P）的田间小麦冠层光截获算法开发

冠层光截获能力是反映作物品种间差异的重要功能性状，高通量表型冠层光截获对提高作物改良效率具有重要意义。本研究以小麦为研究目标，利用数字化植物表型平台（D3P）模拟生成了100种冠层结构不同的小麦品种在5个生育期的三维冠层场景，记录了从原始冠层结构中提取的绿色叶面积指数（GAI）、平均倾角（AIA）和散射光截获率（FIPAR_dif）信息作为真实值,进一步利用上述三维小麦场景开展了虚拟的激光雷达（LiDAR）模拟实验，生成了对应的三维点云数据。基于模拟的点云数据提取了其高度分位数特征（H）和绿色分数特征（GF）。最后，利用人工神经网络（ANN）算法分别构建了从不同LiDAR点云特征（H、GF和H+GF）输入到FIPAR_dif、GAI和AIA的反演模型。结果表明，对于GAI、AIA和FIPAR_dif，预测精度从高到低对应的点云特征输入为GF+H > H > GF。由此可见，H特征对提高目标表型特性的估算精度起到了重要作用。输入GF + H特征，在中等测量噪音（10%）情况下，FIPAR_dif和GAI的估算均获得了满意精度，R²分别为0.95和0.98，而AIA的估算精度（R²=0.20）还有待进一步提升。本研究基于D3P模拟数据开展，算法的实际表现还有待通过田间数据进一步验证。尽管如此，本研究验证了D3P协助表型算法开发的能力，展示了高通量LiDAR数据在估算田间冠层光截获和冠层结构方面的较高潜力。     

Responses in gross primary production of Stipa krylovii and Allium polyrhizum to a temporal rainfall in a temperate grassland of Inner Mongolia,China

In the arid and semi-arid areas of China, rainfall and drought affect the growth and photosynthetic activities of plants. Gross primary productivity (GPP) is one of the most important indices that measure the photosynthetic ability of plants. This paper focused on the GPP of two representative grassland species (Stipa krylovii Roshev. and Allium polyrhizum Turcz. ex Regel) to demonstrate the effect of a temporal rainfall on the two species. Our research was conducted in a temperate grassland in New Barag Right Banner, Hulun Buir City, Inner Mongolia Autonomous Region of China, in a dry year 2015. We measured net ecosystem productivity (NEP) and ecosystem respiration flux (ER) using a transparent chamber system and monitored the photosynthetically active radiation (PAR), air and soil temperature and humidity simultaneously. Based on the measured values of NEP and ER, we calculated the GPP of the two species before and after the rainfall. The saturated GPP per aboveground biomass (GPP_AGB) of A. polyrhizum remarkably increased from 0.033 (±0.018) to 0.185 (±0.055) μmol CO₂/(gdw?s) by 5.6-fold and that of S. krylovii decreased from 0.068 (±0.021) to 0.034 (±0.011) μmol CO₂/(gdw?s) by 0.5-fold on the 1^st and 2^nd d after a 9.1 mm rainfall event compared to the values before the rainfall at low temperatures below 35°C. However, on the 1^st and 2^nd d after the rainfall, both of the saturated GPP_AGB values of S. krylovii and A. polyrhizum were significantly lower at high temperatures above 35°C (0.018 (±0.007) and 0.110 (±0.061) μmol CO₂/(gdw?s), respectively) than at low temperatures below 35°C (0.034 (±0.011) and 0.185 (±0.055) μmol CO₂/(gdw?s), respectively). The results showed that the GPP responses to the temporal rainfall differed between S. krylovii and A. polyrhizum and strongly negative influenced by temperature. The temporal rainfall seems to be more effective on the GPP of A. polyrhizum than S. krylovii. These differences might be related to the different physiological and structural features, the coexistence of the species and their species-specific survival strategies.     

草地生态系统中植被冠层截留的研究进展

草地植被冠层截留是草地生态系统对降水再分配的主要过程，属于草地生态系统蒸散发的组分之一。由于草地植被冠层截留常在草地生态系统水量平衡研究中被忽略而导致蒸散发组分的划分中存在误差。因此，讨论草地植被冠层截留对草地生态水文学的研究具有重要的理论意义和实用价值。本论文通过对目前草地植被冠层截留研究的现状和存在问题，从草地植被冠层截留的测定方法和主要的影响因素（环境因子和植被特征）2方面论述草地植被冠层截留的研究进展。分析发现，草地植被冠层截留的影响因素研究主要集中在降水特征、气象条件、放牧和植被特征等方面，各因素的综合影响研究仍然非常缺乏，测定方法的准确性有待评估。     

冬春季异常天气对枇杷生长发育影响

本试验筛选出连阴雨年份（2018～2019）、“暖冬”年份（2019～2020）以及未出现上述异常天气的对照（ck）年份（2017～2018）3个枇杷花果期发育年份,将各年份枇杷发育期,果实产量、品质数据等观测指标分析：（1）冬季连阴雨年份花期缩短,但由于该年度未有低于-3℃冻害影响,对后期果实膨大幼果生长发育等关键生育期均无明显影响;暖冬年份春芽开放期较对照年份提前了两周左右,果实成熟期较上两个年度提前了5～6d,其它发育期受非冻害的冬春季异常天气影响不明显;（2）暖冬和连阴雨年份等冬春季非冻害异常天气,对枇杷产量影响较少,甚至还带来一定程度增产,侧面反映冬春季制约枇杷产量的主要因素还是冻害;（3）从果实生长曲线和果实品质对比发现,果实的膨大和果实品质的产生主要受4月之后的天气条件影响,前期的异常天气对膨大后果实发育和果实品质影响有限。故在保证花期不受冻害的条件下,重点调控果实进入迅速膨大期后的4～5月份温、湿、光照等气象要素条件,有助于调控果实品质。     

冀北山地华北落叶松人工林对降水截留效应的初步研究

在冀北山地华北落叶松集中分布的地区,利用对降水在林分中的样地进行定位观测的方法,研究了该地区主要造林树种华北落叶松对降水的截留效应。据2002-2005年的连续观测,结果表明:华北落叶松林冠平均截留率为23.6%,树干茎流率占大气降水量的3.7%,枯枝落叶层的截留率为10.2%。说明华北落叶松在冀北山地发挥了巨大的水文生态作用。