近40年陕西省农田土壤有机质时空变化及其影响因素

了解农田土壤有机质的时空动态变化对促进农田生态系统绿色发展具有重大意义。本研究对陕西省耕地土壤有机质含量进行测定,以期探讨长期耕种下陕西省农田土壤有机质时空变化特征及其影响因素。于2017年采集耕层土样705份,采用重铬酸钾氧化—外加热法测定其有机质含量,并运用ArcGIS 10.5和GS+9.0软件进行了数据分析。结果表明：陕西省耕地土壤有机质平均含量为15.90 g·kg^?1,4级水平占比最大;不同行政区有机质含量排序为：汉中＞西安＞安康＞咸阳＞宝鸡＞商洛＞渭南＞铜川＞延安＞榆林;陕西省各市有机质含量较20世纪80年代均有不同程度的提升,其中汉中市提升幅度最大;陕西省农田土壤有机质具有强烈的空间自相关性,最优拟合模型为高斯模型,呈现南高北低的空间分布特征;结构性因素（坡度、海拔、经度、纬度）和随机性因素（施肥、耕作、秸秆还田等）共同作用导致了陕西省农田土壤有机质的空间分布差异,不同类型土壤有机质含量差异显著（P＜0.05）。本研究为指导陕西省低碳农业的发展及实现碳达峰与碳中和提供了一定的科学依据。     

乡村转型发展影响因素及其作用效应的空间分异——以陕西省为例

以陕西省为例,围绕人口、土地、产业等乡村社会经济发展要素构建乡村转型发展评价指标体系,借助ArcGIS平台分析陕西省乡村转型发展时空格局演化特征;利用逐步回归、地理加权回归模型（GWR模型）对陕西省乡村转型发展影响因素及作用效应的空间分异进行探究,以期为陕西省乡村高质量发展路径设计与政策制订提供参考依据。研究结论如下：（1）2005—2017年间,陕西省乡村转型发展程度呈现持续上升趋势,在空间上整体呈现西安及其周边以及榆林北部能源区发展程度高,其余地区发展程度低的特点,且乡村转型发展经历了低度转型主导到较低、中度转型主导的发展过程。（2）地均固定资产投入、加权路网密度、人均生产总值、规模以上工业企业个数和人均耕地资源量是陕西省乡村转型发展的主要影响因素。（3）影响因素中除人均耕地资源量对乡村转型发展整体呈现负向影响外,其余因素均呈现正向影响,且对不同县域影响程度不同,影响效应的空间分异明显。研究对因地制宜地制定陕西省乡村转型发展的差异化政策措施具有重要的参考意义。     

Comparing measured and modelled forest carbon stocks in high-boreal forests of harvest and natural-disturbance origin in Labrador, Canada

Understanding the effects of disturbance regimes on carbon (C) stocks and stock changes is a prerequisite to estimating forest C stocks and fluxes. Live-tree, dead-tree, woody debris (WD), stump, buried wood, organic layer, and mineral soil C stock data were collected from high-boreal black spruce (Picea mariana (Mill.) B.S.P.) stands of harvest and fire origin and compared to values predicted by the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3); the core model of Canada's National Forest Carbon Monitoring, Accounting and Reporting System. Data comparing the effect of natural and anthropogenic disturbance history on forest C stocks are limited, but needed to evaluate models such as the CBM-CFS3. Results showed that adjustments to the CBM-CFS3 volume-to-biomass conversion and partitioning parameters were required for the non-merchantable and branch C pools to accurately capture live-tree C stocks in the studied black spruce ecosystems. Accuracy of the CBM-CFS3 modelled estimates of dead organic matter and soil C pools was improved relative to regional default parameters by increased snag fall and >10 cm WD base decay rates. The model evaluation process also highlighted the importance of developing a bryophyte module to account for bryophyte C dynamics and the physical burial of woody debris by bryophytes. Modelled mineral soil C estimates were improved by applying a preliminary belowground slow C pool base decay rate optimized for the soil type of the studied sites, Humo-Ferric Podzols.     

Spatial and seasonal variability of dissolved oxygen and nutrients in the Southern Adriatic coastal waters

The main objective of this paper is to present vertical and horizontal patterns of dissolved oxygen and nutrients found during four seasonal surveys (March, June, September and December 2000) in the Southern Adriatic Sea coastal waters. The multivariate technique Principal Component Analysis has been applied to our dataset considering the following parameters: seawater temperature, salinity, dissolved oxygen and nutrients (nitrate, nitrite, phosphate, silicate). The resulting plot shows in a self-explanatory way that a seasonal trend was not observable in the investigated period and that no significant differences occur between the stations sampled in the Taranto Gulf and those along the Adriatic coast. Water column stratification persists in all seasons, except in spring, in the shallowest stations. The surface layer is characterized by a low nutrient content. The influence of the Northern Adriatic Surface Water in the Southern Adriatic sub-basin seems to be very low and can be traced by nitrate and silicate only in spring and winter. Regarding deep waters, nitrate distribution shows an increasing gradient moving from the coast to the open sea, having the lowest concentration in the shelf area and the highest in the most offshore stations of the Otranto Strait. In the Otranto Strait area the vertical distributions of physical and chemical parameters show, at middle depths, the inflow of Levantine Intermediate Water, traced by both the maximum of salinity, nitrate and phosphate and the minimum of oxygen. The LIW signal is lost moving northward. The outflow of Adriatic Dense Water is less evident, being traced only in spring by an oxygen increase at the bottom layer in the shelf area. The N:P ratio is highly variable but in the range already observed in the Southern Adriatic, suggesting a P-limitation, which can both contribute to the low primary productivity of the area and support the N:P ratio anomaly of the Eastern Mediterranean.     

Comparative analysis of metal translocation in red maple (Acer rubrum) and trembling aspen (Populus tremuloides) populations from stressed ecosystems contaminated with metals

Uptake of contaminants by plants and their mechanisms have been the subjects of several studies, but reports on the analysis of metal translocation in hardwood trees are limited. The main objective of this study is to compare metal accumulation and translocation in red maple (Acer rubrum) and trembling aspen (Poplar tremuloides) growing in Northern Ontario. Results show that P. tremuloides leaf tissues accumulate more nickel (Ni) and zinc (Zn) than roots. The concentrations of these elements in A. rubrum were low in leaf, branch, and roots tissues compared to the bioavailable levels of these metals in soil. The translocation factors (TFs) of metals from roots to leaves were low for copper (Cu) and high for iron (Fe), magnesium (Mg), Ni, and Zn in P. tremuloides. They varied from 0.52 to 3.26 for Fe, 3.39 to 5.47 for Mg, 2.6 to 16.4 for Ni, and 1.41 to 4.1 for Zn. For A. rubrum the TF was low for all the elements except Mg. For this species, the TF values from roots to leaves varied from 0.08 to 0.17 for Fe, 2.62 to 4.13 for Mg, 0.26 to 0.81 for Ni, and 0.71 to 0.90 for Zn. Overall, Cu does not accumulate in P. tremuloides and A. rubrum tissues, and the two species have different mechanisms in dealing with the other main contaminants in the region, specifically Ni and Zn. P. tremuloides is an accumulator for Ni and Zn while A. rubrum is an excluder for Zn and it uses the avoidance strategy to deal with soil Ni contamination.     

华北地区夏季大气亚微米颗粒物的半挥发性特征

利用热扩散管TD(Thermal Denuder)与高分辨飞行时间气溶胶质谱仪(HR-ToF-AMS)联用法,于2013年6—7月对华北地区国家环境空气质量评价区域点香河的大气PM₁(亚微米颗粒物)及其组分〔OM(有机质)、SO₄2-、NO₃-、NH₄+、Cl-〕进行连续在线观测,并实现了PM₁不同化学组分半挥发性特征的模拟分析. 结果表明:在观测期间,ρ(PM₁)平均值为 (47.9±47.3) μg/m3,其中OM贡献最大,达到38.2%〔ρ(OM)占ρ(PM₁)的比例,下同〕,之后依次为SO₄2-(33.7%)、NH₄+(13.8%)、NO₃-(12.3%)、Cl-(2.0%). 在PM₁的各化学组分中,NO₃-和Cl-的MFR(质量剩余分数)值最低(约0.40),表明二者的半挥发性最高,当温度为50 ℃时,约60%的NO₃-或Cl-进入气相中;SO₄2-的半挥发性最低,在50 ℃时仍有约90%的质量剩余;而OM和NH₄+的半挥发性居中. NO₃-的半挥发性受大气PM₁污染水平的影响,50 ℃时其半挥发性随着ρ(PM₁)的增加而升高. 当温度从50 ℃升至200 ℃时,残留有机气溶胶的O/C(原子数比)从0.47增至0.60,说明半挥发性组分多为氧化态较低的有机化合物. 此外,真空动力学粒径在60~2 000 nm的颗粒物在不同粒径段表现出相近的半挥发性. 大气PM₁半挥发性的定量分析结果可为全面认识大气颗粒物的物化性质及污染机理提供数据,也有助于空气质量模型的完善.      

基于GIS的陕西省地质灾害信息系统设计

GIS技术在灾害研究中的应用日益广泛,GIS强大的空间分析功能和海量数据管理优势为地质灾害数据的管理分析、动态监测、机理模拟、预测预报、辅助决策提供了强有力的支持.本文从陕西地质灾害分析入手,设计了基于GIS的地质灾害信息系统,并对系统目标、系统总体设计、系统功能进行了分析.该系统可为陕西省地质灾害的管理和防治提供科学依据,减少经济损失.     

2000-2019年中国北方地区沙尘暴时空变化及其相关影响因素

利用多年多源环境、气象和卫星遥感资料,从年代际、年际异常和气候变化的角度分析了21世纪以来中国北方地区沙尘暴的时空演化特征及其气象、植被变化的影响机理.结果表明：①2000—2013年中国北方地区沙尘暴年日数呈显著波动下降趋势,下降速率为1.1 d/10 a,2013年后呈微弱增长趋势.近40年来,春季沙尘暴日数占全年沙尘暴日数的平均占比为62%,但其逐年变化率明显下降（-7.3%/10 a）,2010年后夏季沙尘暴日数的变化率则呈现上升趋势（12.4%/10 a）,新疆塔克拉玛干沙漠地区沙尘暴的高发季节由春季逐渐向夏季扩展.②21世纪初中国北方地区沙尘暴发生频数明显下降,沙尘暴影响范围向塔克拉玛干沙漠南部地区收缩西移,戈壁沙漠在亚洲沙尘源区中的主体地位逐年下降,改变了中国北方地区沙尘暴的空间格局.③中国北方地区沙尘暴的区域性减少主要归因于平均风速与大风日数逐年下降（-0.1 m·s^-1/10 a、-4.4 d/10 a）、年降水量显著增加（32.7 mm/10 a）及区域地表变绿.塔里木盆地南缘局地风速的升高是导致该地区沙尘暴多发的重要气象影响因素,而地表植被覆盖的增加是造成戈壁沙漠沙尘暴年日数显著下降的主要原因.     

陕西关中近40年春季旱涝分析

对关中近４０ａ６站３～４月降水量进行了标准旱涝等级分析和谐波分析，得出风调雨顺年份少，旱涝年份多，有２～３ａ及２０ａ的显著周期。研究发现埃尔尼诺、太阳黑子相对数、西太平洋副高综合指数与旱涝变化规律有很好的对应关系，并有很高的相关系数。     

对2000～2003年陕西三场洪灾暴雨天气的对比分析

对陕西2000年7月13日紫阳和镇巴暴雨、2002年6月8日佛坪暴雨及2003年8月23日～10月4日渭河流域(二华夹槽地区)的连阴雨中的暴雨从环流形势场进行了对比分析,认为,在不同天气气候背景下都有可能出现大的洪涝灾害,只有提高防范意识,才可以减轻灾难造成的结果.