除草剂对土壤氮素循环的影响

土壤微生物参与土壤氮素循环的生物学与生物化学过程,对氮素形态转化与去向产生很大影响。在现代农作物生产上农田普遍施用除草剂,除草剂进入土壤生态环境中影响土壤微生物种群数量、活性和土壤氮素循环过程,在一定程度上改变氮素各去向的比例。因此,除草剂的施用对植物氮素吸收利用和土壤氮的环境释放具有一定效应。文章综述了除草剂对生物固氮、土壤氮矿化与转化、氨挥发、硝化反硝化、温室气体N2O排放、植物的氮吸收利用、土壤氮损失等方面的影响,并提出了今后进一步研究的方向,为减少氮素损失和温室气体排放以及除草剂使用的安全性评价提供参考。     

杉木人工林生态系统的生物地球化学循环Ⅰ:养分归还动态

在福建南平地区 ,对林龄和密度不同的两片杉木人工林的凋落物和森林降水化学进行了 3a(1994～1996 )的定位研究 .株密度n =2 370hm-2 的 16a生林分 (标记为FFC)和株密度n =1180hm-2 的 41a生林分 (标记为XQF)的年凋落量分别为 6 2 10 .7kghm-2 和 3 146 .2kghm-2 ,其中落叶分别占总重量的 76 %和 6 8% .凋落物中 5种主要营养元素的年归还量分别为 173.92kghm-2 和 84.2 0kghm-2 ,其数量大小顺序均为Ca >N >Mg >K>P ,并在 4月份和 11月份出现两次峰值 .在两监测样地 ,降水通过林冠后养分富集现象均十分明显 .降雨、穿透雨和树干径流中养分浓度呈现显著的季节变化 ,均以夏季最低 ,冬季最高 ,春秋季居中 ,这种格局强烈受降雨量的控制 .在两林分中降水引起的 5种元素的年淋溶量分别为 173 .33kghm-2 和 10 7.5 3kghm-2 ,大小顺序为K >Ca >Mg ,而N(及FFC的P)出现负值 ,表明其被林冠层直接吸收 .林龄和密度对生态系统的养分归还具有重要影响 .图 5表 4参 15     

Interactions of warming and altered nutrient load timing on the phenology of oxygen dynamics in Chesapeake Bay

The effects of nutrient loading on estuaries are well studied, given the multitude of negative water quality and ecosystem effects that have been attributed to excess nitrogen and phosphorus. A current gap in this knowledge involves the sensitivity of seasonal cycles of estuarine biogeochemical processes to direct (warming) and indirect influences (nutrient load timing) of climate change. We used a coupled hydrologic–biogeochemical model to investigate changes in the phenology of hypoxia and related biogeochemical processes in Chesapeake Bay under three different hydrologic regimes. Shifts to earlier nutrient load timing during idealized simulations reduced the overall annual hypoxic volume, resulting from discernable, but relatively small reductions in phytoplankton biomass and both sediment and water-column respiration. Simulated increases in water temperature caused an increase in spring/early summer hypoxic volume associated with elevated respiration rates, but an associated exhaustion of organic matter in the early summer caused a decrease in late summer/fall hypoxic volume due to lowered respiration. Warming effects on hypoxia were larger than nutrient timing effects in scenarios where warming was restricted to spring and when it was applied to all months of the year. These idealized simulations begin the process of understanding the potential impacts of future climatic changes in the seasonal timing of key biogeochemical processes associated with eutrophication.     

Evaluating Ecological Condition Using Soil Biogeochemical Parameters and Near Infrared Reflectance Spectra

Rapid, repeatable assessment of ecological condition is critical for quantitative ecosystem monitoring. Soils provide a sensitive, integrative indicator for which sampling and analysis techniques are well defined. We evaluated soil properties as indicators of ecological condition (subjectively classified into minimally/moderately/severely degraded based on vegetative, hydrologic and edaphic cues) at 526 sites within Ft. Benning military installation (Georgia, USA). For each sample, we measured 17 biogeochemical parameters, and collected high-resolution diffuse reflectance spectra using visible/near infrared reflectance spectroscopy (VNIRS). VNIR spectra have been related to numerous soil attributes — we examine them here for diagnosing integrated response (i.e., ecological condition). We used ordinal logistic regression (OLR) and classification trees (CT) to discriminate between condition categories using both sets of predictors (biogeochemistry and spectra). Sixteen biogeochemical parameters were significantly different across condition categories; however, multivariate models greatly improved discrimination ([calibration, validation] accuracy of [69%, 66%] and [96%, 73%] for OLT and CT models, respectively). Important predictors included total C, total P, and Mehlich K/Ca/Mg. VNIR spectra further improved discrimination ([calibration, validation] accuracy of [74%, 70%] and [96%, 75%] for OLR and CT models, respectively). While spectra were comparably effective at discriminating minimally degraded sites, they were significantly more effective at discriminating severely degraded sites. Error rates across confounding factors suggest that watershed of origin and landscape position were the only important confounders, likely due to imbalanced sampling. We conclude that multivariate diagnosis improves accuracy, and that VNIR spectroscopy, which yields substantial cost and logistical improvements over conventional analyses, provides an effective tool for rapid condition diagnosis.     

A Bayesian hierarchical framework for calibrating aquatic biogeochemical models

Model practitioners increasingly place emphasis on rigorous quantitative error analysis in aquatic biogeochemical models and the existing initiatives range from the development of alternative metrics for goodness of fit, to data assimilation into operational models, to parameter estimation techniques. However, the treatment of error in many of these efforts is arguably selective and/or ad hoc. A Bayesian hierarchical framework enables the development of robust probabilistic analysis of error and uncertainty in model predictions by explicitly accommodating measurement error, parameter uncertainty, and model structure imperfection. This paper presents a Bayesian hierarchical formulation for simultaneously calibrating aquatic biogeochemical models at multiple systems (or sites of the same system) with differences in their trophic conditions, prior precisions of model parameters, available information, measurement error or inter-annual variability. Our statistical formulation also explicitly considers the uncertainty in model inputs (model parameters, initial conditions), the analytical/sampling error associated with the field data, and the discrepancy between model structure and the natural system dynamics (e.g., missing key ecological processes, erroneous formulations, misspecified forcing functions). The comparison between observations and posterior predictive monthly distributions indicates that the plankton models calibrated under the Bayesian hierarchical scheme provided accurate system representations for all the scenarios examined. Our results also suggest that the Bayesian hierarchical approach allows overcoming problems of insufficient local data by “borrowing strength” from well-studied sites and this feature will be highly relevant to conservation practices of regions with a high number of freshwater resources for which complete data could never be practically collected. Finally, we discuss the prospect of extending this framework to spatially explicit biogeochemical models (e.g., more effectively connect inshore with offshore areas) along with the benefits for environmental management, such as the optimization of the sampling design of monitoring programs and the alignment with the policy practice of adaptive management.     

Use of Stable Isotopes to Identify Sources of Mercury in Sediments: A Review and Uncertainty Analysis

Mass-dependent and mass-independent mercury isotope fractionation potentially generates unique source signatures that can be used to apportion contributions to sediment contamination. This article reviews findings from previous investigations that have used mercury isotopes to identify sources. It also discusses a mass balance mercury isotope fractionation model that simulates changes in isotopic source signatures in aquatic systems caused by natural biogeochemical cycling. According to the model, the extent of source signature alteration depends on chemical speciation, with more labile forms exhibiting greater isotopic fractionation. Apportionment is tractable when differences between δ²⁰²Hg of sources are larger than potential changes in isotopic signatures following the release of mercury into the environment.     

海相沉积岩铁同位素体系及其古环境指示

铁(Fe)作为主要造岩元素及生命必需元素,广泛参与地球表层圈层所涉及的物理、化学和生物作用,在调节海洋初级生产力和驱动海洋生物地球化学循环过程扮演重要角色.Fe同位素作为较早开发的非传统稳定同位素体系,目前已成为示踪生物地球化学循环过程及古海洋环境演变的有效手段.本文在对全球海洋Fe循环和表生地质过程Fe同位素分馏机理...     

酸沉降区域碱性湖泊中汞的生物地球化学循环演化研究意义

大量研究表明,酸沉降引起酸化敏感性湖泊湖水的酸化,会影响湖泊系统汞的赋存状态和相互转化。但是,对于酸沉降同时引起的湖泊SO42 的增加是否会影响湖泊汞的赋存状态和相互转化尚存在分歧。而对于非酸化敏感湖泊,受酸沉降影响湖水仍然呈现碱性的湖泊结果如何还不清楚。据此,本文综述了湖泊体系中汞的生物地球化学循环演化规律,并总结近年来的研究成果,结合我国西南地区湖泊所处的特殊地质环境及其污染和研究现状,指出对酸沉降区域碱性湖泊中汞的生物地球化学演化规律进行研究的必要性和重大意义。     

Capacity and degree of iodine absorbed and enriched by vegetable from soil

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皖南山区降水酸性特征与元素沉降通量

以位于北亚热带的安徽南部丘陵地区为研究区域,2007年4～11月间通过定期监测雨水以及对其pH和主要阴阳离子的测定,分析了该地区降水的酸性特征与H⁺和其他元素的沉降通量.结果表明,在皖南地区雨水pH的平均值为4.61, 酸雨频率高达92%.Ca²⁺是含量最高的阳离子,平均浓度为68.82 μeq/L,SO^2-₄是含量较高的阴离子其浓度为39.69 μeq/L. SO^2-₄/NO^-₃的平均值是1.23, 反映了大气污染特征是SO₂与NO_{x并重的复合型污染.雨水中各离子含量和输入量的动态变化表明该地区大气NOx主要是近源的农业活动所引起,SO2主要来自远源工业污染,盐基离子的变化则有北方沙尘远源传输的影响.2007年4～11月降水输入的盐基离子总量为1289 eq/hm²,NO^-3和SO^2-4的总量为926 eq/hm²,H⁺总量为360 eq/hm²,表明酸沉降对区域生态环境的影响不容忽视.}