Alien plant invasions--incorporating emerging invaders in regional prioritization: a pragmatic approach for Southern Africa

Plant invasions are a serious threat to natural and semi-natural ecosystems worldwide. Most management-orientated research on invasions focuses on invaders that are already widespread and often have major impacts. This paper deals with "emerging" invaders-those alien species with the potential to become important problems without timely intervention. A climate matching procedure was developed to define areas of South Africa, Lesotho and Swaziland that could be invaded by 28 plant species that had previously been classified as emerging invaders. Information on the location of populations of these species in the study area was combined with information on their distributions (as native or alien) in parts of Australia and the United States of America. These two countries had the best available distribution data for this study. They also share many invasive alien plant species with South Africa. Climatic data obtained for weather stations near points of known occurrence in these countries were used to define the climatically suitable areas for each species in the study area. Almost 80% of the remaining natural environment in southern Africa was found to be vulnerable to invasion by at least one of these species, 50% by six or more and 24% by 16 or more species. The most vulnerable areas are the highveld grasslands and the eastern escarpment. The emerging invaders with the greatest potential range included Acacia podalyriifolia and Cortaderia selloana. The globally important invaders Ulex europaeus and Lythrum salicaria had a more limited invasion potential but could still become major invaders. There was no relationship between the extent of the climatically suitable areas for the different species and an expert ranking of their invasion potential, emphasising the uncertainties inherent in making expert assessments based on very little information. The methods used in this analysis establish a protocol for future modelling exercises to assess the invasion potential of other emerging invaders.     

未来RCP4.5情景下黄海DMS浓度变化模拟与分析

使用CORDEX-EA过去气候态(2000-2009年)与RCP4.5情景下近未来气候态(2041-2050年)大气强迫结果驱动中国东部陆架海域耦合DMS模块生态模型,模拟了黄海过去及近未来表层DMS浓度(C_DMS),探究了黄海近未来C_DMS时空分布的变化及其影响因素.结果表明:近未来黄海C_DMS的年循环发生变化,北黄海C_DMS极高值出现月份由5、9月转变为4、10月,南黄海由4、9月转变为4、8月;局部C_DMS高值区也发生变化,春季山东半岛附近海域、夏季苏北浅滩、南黄海中东部、秋季南黄海东部C_DMS高值区加强,夏季山东半岛附近C_DMS高值区减弱.近未来热通量、风应力对山东半岛、南黄海中东部海域C_DMS影响较大;降水量、云量对西朝鲜湾C_DMS的影响占优;苏北浅滩C_DMS受多个气候因子共同作用.     

Year-round observation of atmospheric inorganic aerosols in urban Beijing: Size distribution, source analysis, and reduction mechanism

To investigate particle characteristics and find an effective measure to control severe particle pollution, year-round observation of size-segregated inorganic aerosols was conducted in Beijing from January to December, 2016. The sampled atmospheric particles all presented bimodal size distribution at four pollution levels (clear, slight pollution, moderate pollution and severe pollution), and peak values appeared at the size range of 0.7-2.1 μm and >9.0 μm, respectively. As dominant particle compositions, NO₃⁻, SO₄²⁻, and NH₄⁺ in four pollution levels all showed significant peaks in fine mode, especially at the size range of 1.1-2.1 μm. Secondary inorganic aerosols accounted for about 67.6% (36.3% (secondary sulfates) + 31.3% (secondary nitrates)) of the total sources of fine particles in urban Beijing. Severe pollution of fine particles was mainly caused by the air masses transported from nearby western and southern areas, which are industrial and densely populated region, respectively. Sensitivity tests further revealed that the control measures focusing on ammonium emission reduction was the most effective for particle pollution mitigation, and fine particles all showed nonlinear responses after reducing ammonium, nitrate, and sulfate concentrations, with the fitting curves of y = -120.8x - 306.1x² + 290.2x³, y = -43.5x - 67.8x², and y = -25.8x - 110.4x² + 7.6x³, respectively (y and x present fine particle mass variation (μg/m³) and concentration reduction ratio (CRR)/100 (dimensionless)). Overall, our study presents useful information for understanding the characteristics of atmospheric inorganic aerosols in urban Beijing, as well as offers policy makers with effective measure for mitigating particle pollution.     

黄土高原大气降水δ18O的空间分布

大气降水δ¹⁸O值的空间分布可以为理解现代大气中的水分输送提供空间信息,也可以为解释古气候代用指标的环境意义提供基础。本文整理了黄土高原44个站点的实测降水δ¹⁸O数据,基于纬度和海拔构建回归模型并得到了黄土高原降水δ¹⁸O的同位素景观图谱,结合实测资料和图谱结果分析了降水δ¹⁸O的年内变化和空间分布特征,并评价了两种全球降水同位素景观图谱产品的适用性,得出以下结论：（1）黄土高原降水δ¹⁸具有明显的年内变化特征,春夏季相对富集,秋冬季较为贫化。（2）黄土高原降水δ¹⁸O高值区多出现在南部的渭河谷地一带,低值区则主要出现在西部高原山地和北部边缘。（3）黄土高原北部与西部降水δ¹⁸温度效应更为明显,向南和向东延伸,温度效应逐渐弱化。（4）两种全球降水同位素景观图谱产品对δ¹⁸值的最佳模拟结果均出现在夏季,冬季模拟较差。     

土壤环境汞污染现状及其影响因素研究进展

土壤重金属污染导致土壤环境质量显著降低,影响食品安全、水源水质和空气质量等,严重威胁人类的生存和发展。汞（Hg）作为一种全球性的重金属污染物,广泛分布于多种环境介质中,其中土壤是全球汞最大的储存库。土壤中的汞可通过多种暴露途径进入人体,危害人类健康。伴随着全球气候变暖和人为活动加剧,全球土壤汞污染问题日益严重。然而,目前有关土壤汞污染的基础数据较为缺乏,大范围的土壤汞污染空间分布特征分析相对较少,对于土壤汞污染主控因子的分析方法缺乏系统的阐述。因此,本文基于文献调研的方法,分析了全球的土壤汞污染分布特征,发现全球土壤汞污染主要集中在矿区及工业聚集区,阐述了人为因素、气候条件和土壤环境因素等对土壤汞含量变化的影响,并总结了可应用于土壤汞污染主控因子分析的常用方法及其优缺点。同时,本文对未来土壤汞污染调查和研究进行了3方面的展望,以期为更加科学合理的解决土壤汞污染问题做出贡献。     

再生铜冶炼过程中重金属排放特征和控制

再生铜冶炼是重要的重金属排放源,为掌握再生铜冶炼过程中重金属的排放特征和控制效果,通过固定源等速采样装置采集不同冶炼阶段的烟气样品,利用电感耦合等离子体质谱仪测定烟气和飞灰中重金属的浓度,并估算重金属的排放因子.结果表明,在冷却阶段烟气中重金属和颗粒物的浓度较高,经过布袋除尘器和吸附塔等污染控制装置后,重金属和颗粒物被协同脱除,脱除效率达80%～99%.排放烟气中重金属的浓度在阳极炉不同工艺段中的排序为：加料熔融段>氧化段≈还原段,且As、 Pb、 Cr、 Sn、 Sb和Cd的平均排放因子分别为2.6×10³、2.4×10³、2.7×10³、5.6×10²、34.1和9.8 mg·t^-1,烟气中重金属和颗粒物的浓度均满足行业排放标准.飞灰中Cu和Zn的浓度较高,具有回收利用价值.     

乌江流域梯级水库入出库河流中总汞和甲基汞的时空分布

2006年1~12月，每月采集乌江流域梯级水库入出库河流水样，用两次金汞齐-冷原子荧光光谱法和蒸馏-乙基化结合GC CVAFS法测定了水中总汞和甲基汞的浓度。结果表明：（1）入出库河流中总汞年均加权浓度分别为317和 2.34 ng/L，甲基汞为014和 0.18 ng/L。（2）不同水库入出库河流中总汞和甲基汞的时空分布特征不同，位于上游第一级的普定和洪家渡水库入库河流中总汞有明显的季节变化趋势，且显著低于出库河流；而甲基汞的季节变化在出库河流中较为明显，而且库龄大的普定、东风、乌江渡水库出库河流中甲基汞浓度显著高于入库河流。（3）相关分析发现水库入库河流中总汞、甲基汞浓度主要受悬浮颗粒物的影响，而与水量间的相关性因水库所处位置的不同而有差异，上游的普定和洪家渡水库中呈显著正相关，其它水库中呈负相关。     

基于MGWR的黄河流域土壤有机碳密度和影响因素分析

土壤有机碳作为最大陆地碳库,其空间分布特征和影响因素对于全球碳循环过程具有重要影响.基于土壤有机碳密度数据,结合环境因子,使用多尺度地理加权回归（MGWR）模型预测了黄河流域土壤有机碳密度（SOCD）和影响因素.结果表明：①黄河流域0~20 cm和0~100 cm的SOCD范围分别为0~14.82 kg ·m^-2和0~32.39kg ·m^-2,均值分别为3.48 kg ·m^-2和8.07kg ·m^-2,储量则分别为2.76 Pg和6.48 Pg;②各生态系统类型中,0~20 cm的SOCD从大到小依次为：森林>水体与湿地>其他>草地>农田>聚落>荒漠,0~100 cm的SOCD从大到小依次为：水体与湿地>森林>其他>草地>农田>聚落>荒漠,SOCR从大到小皆为：草地>农田>森林>荒漠>水体与湿地>聚落>其他;③黄河流域SOCD的分布主要受常数项、剖面曲率、NDVI和降水的影响,曲率和粉砂对深层的SOCD的分布也具有重要影响;此外,降水、NDVI和常数项（除森林外）是影响各生态系统的主要因素,曲率和粉砂则仅对荒漠和其他生态系统具有重要影响.研究结果得出了黄河流域SOCD的空间分布和影响因素,可为黄河流域碳平衡、土壤质量评价和生态治理恢复与巩固提升提供科学依据.     

我国黑土地农田土壤除草剂残留特征研究及展望

粮食安全是“国之大者”.东北黑土地作为我国重要的粮仓,是保障国家粮食安全的“压舱石”.但黑土地农田除草剂的长期高强度施用,导致除草剂在土壤中积累和迁移,影响土壤质量、作物产量和品质,阻碍黑土地可持续利用和农业可持续发展.解决黑土地农田除草剂残留问题,既要从源头管控除草剂的施用,也要掌握除草剂的残留特征、时空演变和驱动因素,才能做到科学防控、精准施策.系统总结了我国黑土地农田除草剂的施用状况和存在的问题,全面梳理了除草剂的残留现状,指出了当前在黑土地农田除草剂残留特征、空间分布和污染诊断等研究上的不足,提出了我国黑土地农田除草剂残留诊断与风险管理研究思路与重点方向,为保障我国黑土地农田土壤健康、粮食安全和生态系统安全提供科技支撑.     

湟水河流域地表水体微塑料分布、风险及影响因素

为探究我国青藏高原淡水环境中微塑料的分布情况,采用金相显微镜观察、傅里叶红外光谱测定、野外调查和影像数据分析等方法对青海省湟水河流域丰水期63个地表水样中微塑料的分布特征和影响因素进行分析,并依据风险指数（H）和污染负荷（PLI）指数模型评估了微塑料的潜在生态风险.结果表明,流域水体中微塑料丰度范围为665~8780 n ·m^-3,湟源县水系平均丰度最高,达5414 n ·m^-3,各支流丰度从上游到下游逐渐增大.微塑料中薄膜类和颗粒类分别占36%和33%,透明和黑色分别占67%和17%,粒径在0.45~50 μm的占70%,聚乙烯（66%）和聚丙烯（12%）为主要的聚合物类型.微塑料丰度与耕地面积、降水量和紫外线强度正相关,与溶解氧、氧化还原电位和风速显著负相关,微塑料的分布受人类活动和环境因子的共同影响.总体上湟水河流域地表水体中微塑料的潜在生态风险较低.