不同品种辣椒镉亚细胞分布和化学形态特征差异

前期试验对91个辣椒品种资源进行筛选,以高积Cd型品种(X55)、中积Cd型品种(27)和低积Cd型品种(17)各一份,采用盆栽试验研究不同镉水平(0、5和10 mg·kg-1Cd)下3个品种辣椒Cd转移和富集能力差异以及镉在果实中亚细胞分布和形态特征.结果表明,Cd胁迫下,辣椒地上部干重在种间表现为品种X55 17 27.果实Cd转移系数在同一Cd水平下均表现为品种17 27或X55.辣椒果实各亚细胞组分中Cd含量在种间表现为品种27 17 X55.辣椒根、茎、叶和果各亚细胞组分中Cd含量均表现为细胞壁(F1)细胞器(F2)细胞可溶性组分(F3),Cd被限制在细胞壁中,在辣椒Cd解毒机制和抗性中起重要作用. 3个品种辣椒果实各Cd化学形态含量随Cd处理水平的增加而增加,且大小均表现为CdNaClCdHAC CdR CdHCl CdW CdE.辣椒果实中的CdNaCl和CdHAC占比例较大可能是辣椒降低Cd生物毒性的一种防御机制.     

厦门某旱地土壤垂直剖面中重金属迁移规律及来源解析

采用ICP-MS和TIMS分析测定厦门市农业区某旱地土壤垂直剖面中8种重金属元素(V、Cr、Co、Ni、Cu、Zn、Sr和Pb)含量及铅锶同位素组成,重点分析土壤剖面金属的纵向分层和淋失迁移特征.结果表明,除Sr外,其余重金属在大部分剖面深度中均未超过背景值,表明受外来源的影响较小. Sr在整个剖面的迁移系数均大于0,表明存在不同程度的富集; Zn和Co在近地表处富集; Cr、Ni和Cu在整个剖面中以亏损为主; V和Pb受外来活动的干扰小.淋洗迁移特征分析表明,Sr和Pb淋洗下移较活跃,其下移深度较大,但Pb下移深度低于Sr下移深度.因子分析表明,重金属主要为自然因子的输入,其次为农业活动和交通运输等复杂人为活动的输入.富集因子分析表明,Sr受外源不同程度影响.铅锶同位素组成分析表明,垂直剖面土壤中Pb主要来源于母质层,而Sr除来源于母质层外,还受到复杂人为源的影响,并已有向底层(30～70 cm)迁移的趋势.     

表面活性剂对土壤中多环芳烃(PAHs)纵向迁移的影响

选取山东省分布较广的3种类型土壤（潮土、褐土和棕壤）为研究对象,采用室内土柱淋滤实验,模拟多环芳烃（PAHs）在土壤中纵向迁移的过程.选用生物表面活性剂鼠李糖脂和非离子表面活性剂TX-100分别对3种土壤进行淋滤实验,分析淋滤后较清洁土层PAHs的含量和组成.结果表明,3种类型土壤中,潮土最有利于土壤中PAHs的纵向迁移,褐土和棕壤无显著差异（P>0.05）;不同淋滤处理下,PAHs均主要富集在土柱表层,占39.00%—60.00%;有无表面活性剂的添加,低环PAHs均较易向下迁移,在污染土壤中的残留率为14.33%—38.52%;不添加表面活性剂条件下高环PAHs在污染土中残留率较高,为79.67%—92.47%,在鼠李糖脂3倍（3 CMC）和TX-100 2倍（2 CMC）临界胶束浓度条件下淋滤效果有明显提高,污染土中高环PAHs残留率与去离子水淋滤时相比降低28.95%—35.31%;相同临界胶束浓度下,TX-100处理后PAHs淋滤率高于鼠李糖脂,淋滤效果更好.     

模拟排水沟渠非点源溶质氮迁移实验研究

农田排水沟渠是由水-底泥-植物组成的复合生态结构,其间非点源溶质的迁移转化对研究沟渠拦截、控制和管理农业非点源污染具有重要意义.本研究以模拟排水沟渠静态实验为基础,以典型非点源溶质氮素为例,分析了实验期内水体、底泥及芦苇不同介质内氮含量变化过程,分析了底泥吸附与解析、芦苇生长与衰败等年内不同时期对水体中氮素浓度的影响,探讨了水-底泥-芦苇复合生态体内氮迁移及对水体中氮浓度的影响机制.结果表明,底泥的吸附与解吸、芦苇生长的吸收和同化对水体中氮素浓度均有影响,10月之前这种影响表现为促使水体中氮素浓度降低,是水体的氮净化过程;10月之后这种净化作用开始降低,11月之后表现为促使水体中氮素浓度升高.同时,模拟沟渠水-底泥-芦苇生态体内氮迁移联系密切,任一介质内或介质间氮素迁移转化都会引起水体中氮素浓度相应调整.     

设施农业土壤磷素累积迁移转化及影响因素

为了科学合理施用磷肥,减小对设施农业环境带来的污染风险,以北京市大兴区设施农业集中区为研究对象,通过对不同种植年限设施农业剖面土壤(0～100 cm)磷素含量的测定分析,探究磷素累积与迁移转化特征.结果表明,设施农业表层土壤全磷和有效磷含量变化范围大,显著高于周边粮田土壤,主要跟不同种植年限农户的施磷量相关,随着土层深度的增加,全磷和有效磷含量逐渐减小,呈现表聚特征,其中土壤ω(全磷)范围在0.38～2.58 g·kg^-1,ω(有效磷)范围在1.60～256.00 mg·kg^-1.随着种植年限的增加,土壤全磷和有效磷含量呈现先增加后减小的趋势,在15 a左右达到峰值,随后逐渐减少,趋于稳定,总体处于较高水平.无机磷主要集中在设施农业表层土壤,其中Ca-P占无机磷的比例最大,达到了98.38%,Ca₁₀-P是最主要的Ca-P形态,含量占Ca-P的78.70%,Ca₂-P占比最小,仅占9.50%.不同形态无机磷含量呈现表层土壤富集,向下减少的垂直分布特征;不同土层深度,不同形态无机磷占全磷比例变化存在差...     

Geographic range size and extinction risk assessment in nomadic species

Geographic range size is often conceptualized as a fixed attribute of a species and treated as such for the purposes of quantification of extinction risk; species occupying smaller geographic ranges are assumed to have a higher risk of extinction, all else being equal. However many species are mobile, and their movements range from relatively predictable to‐and‐fro migrations to complex irregular movements shown by nomadic species. These movements can lead to substantial temporary expansion and contraction of geographic ranges, potentially to levels which may pose an extinction risk. By linking occurrence data with environmental conditions at the time of observations of nomadic species, we modeled the dynamic distributions of 43 arid‐zone nomadic bird species across the Australian continent for each month over 11 years and calculated minimum range size and extent of fluctuation in geographic range size from these models. There was enormous variability in predicted spatial distribution over time; 10 species varied in estimated geographic range size by more than an order of magnitude, and 2 species varied by >2 orders of magnitude. During times of poor environmental conditions, several species not currently classified as globally threatened contracted their ranges to very small areas, despite their normally large geographic range size. This finding raises questions about the adequacy of conventional assessments of extinction risk based on static geographic range size (e.g., IUCN Red Listing). Climate change is predicted to affect the pattern of resource fluctuations across much of the southern hemisphere, where nomadism is the dominant form of animal movement, so it is critical we begin to understand the consequences of this for accurate threat assessment of nomadic species. Our approach provides a tool for discovering spatial dynamics in highly mobile species and can be used to unlock valuable information for improved extinction risk assessment and conservation planning.     

淮南市浅层地下水重金属元素的富集特征

以淮南市浅层地下水为研究对象,采集并测试了130个水样中Fe、Mn、Cu、Zn、Pb、Cd、Ni等元素的含量及相关指标。通过分析pH与重金属的相关性,得出了重金属在水中的富集速率,即VFe〉VCu〉VZn〉VPb〉VMn〉VNi〉VCd。利用主成分对7种重金属进行分类并分析其富集成因,最后将测试结果与土壤重金属含量相比较,确定了浅层地下水中的重金属元素的富集特征。     

粤港澳大湾区典型化工场地苯系物污染特征及迁移规律

以粤港澳大湾区某典型化工污染场地为例,共采集了247个土壤样品和20个地下水样品,探讨了场地苯系物的污染分布特征,利用GMS分别从水平和垂直方向模拟分析了该场地苯系物在土壤与地下水的污染迁移扩散规律.结果表明,场地土壤样品中苯、乙苯、间,对-二甲苯、邻-二甲苯超筛选值,其中苯系物超筛选值的土壤样品主要集中在0. 5～4 m深度范围;地下水样品中苯、乙苯、间,对-二甲苯和邻-二甲苯超标较严重,最大超标倍数分别为140. 00、101. 33、212. 00和103. 40倍,主要分布在浅层地下水.地下水中的苯污染物在水平方向主要以对流/弥散运移方式从西北往东南方向迁移,而在垂向上浮苯主要集中在地下水面处,溶解态苯主要在水动力作用下迁移.模拟验证分析结果表明,MT3D模型能较准确地反映场地苯系物的空间分布和迁移特征,可为粤港澳大湾区化工类污染场地的精准化管控与修复提供科学指导.     

The problem of estimating recent genetic connectivity in a changing world

Accurate understanding of population connectivity is important to conservation because dispersal can play an important role in population dynamics, microevolution, and assessments of extirpation risk and population rescue. Genetic methods are increasingly used to infer population connectivity because advances in technology have made them more advantageous (e.g., cost effective) relative to ecological methods. Given the reductions in wildlife population connectivity since the Industrial Revolution and more recent drastic reductions from habitat loss, it is important to know the accuracy of and biases in genetic connectivity estimators when connectivity has declined recently. Using simulated data, we investigated the accuracy and bias of 2 common estimators of migration (movement of individuals among populations) rate. We focused on the timing of the connectivity change and the magnitude of that change on the estimates of migration by using a coalescent‐based method (Migrate‐n) and a disequilibrium‐based method (BayesAss). Contrary to expectations, when historically high connectivity had declined recently: (i) both methods over‐estimated recent migration rates; (ii) the coalescent‐based method (Migrate‐n) provided better estimates of recent migration rate than the disequilibrium‐based method (BayesAss); (iii) the coalescent‐based method did not accurately reflect long‐term genetic connectivity. Overall, our results highlight the problems with comparing coalescent and disequilibrium estimates to make inferences about the effects of recent landscape change on genetic connectivity among populations. We found that contrasting these 2 estimates to make inferences about genetic‐connectivity changes over time could lead to inaccurate conclusions.