Nitrogen isotope ratios in pine bark as an indicator of N emissions from anthropogenic sources

The article describes the use of Scots pine bark to identifynitrogen sources in eastern Germany, as well as background areas in Russia and Bulgaria, by using natural isotope ratios of total nitrogen (N_t) and individual N compoundssuch as ammonium (NH₄ ⁺), nitrate (NO₃ ^-)and amid nitrogen (amide-N). The samples collected were analysed using an elemental analyser in connection with a gas isotope mass spectrometer (EA-IRMS). Natural ¹⁵N abundances in pine bark from impact areas suggest that the ammonium accumulated on the surface of the bark is releasedfrom livestock management. Bark of Scots pines growing near agricultural land had highly depleted ¹⁵N_t values (between –8 and –12), while bark from background areas (unpolluted areas) displayed slightly negative ¹⁵N_t values (mean ¹⁵N_t = –3.8). It is assumed that part of the N adsorbed on the bark surface is mainly derived from ammonia(mean ¹⁵N_t = –40.3) escaping from livestock housing and during the application of manure. This assumption is confirmed by experiments under controlled conditions in which manure samples were spread on soil. In addition, temporal and spatial variations of ¹⁵N_t abundances in pine bark from various locations in eastern Germany as wellas pine stands in Nature Park Dübener Heath are discussed.     

a study of the temporal variability of atrazine in private well water. part ii: analysis of data

In 1988, the Iowa Department of Natural Resources, along withthe University of Iowa, conducted the Statewide Rural WellWater Survey, commonly known as SWRL. A total of 686private rural drinking water wells was selected by use of aprobability sample and tested for pesticides and nitrate. A subsetof these wells, the 10% repeat wells, were additionally sampledin October, 1990 and June, 1991. Starting in November, 1991,the University of Iowa, with sponsorship from the United StatesEnvironmental Protection Agency, revisited the 10% repeat wellsto begin a study of the temporal variability of atrazine and nitratein wells. Other wells, which had originally tested positive foratrazine in SWRL but were not in the 10% population, wereadded to the study population. Temporal sampling for a year-long period began in February of 1992 and concluded in Januaryof 1993. All wells were sampled monthly, a subset was sampledweekly, and a second subset was sampled for 14 day consecutiveperiods. Of the 67 wells in the 10% population tested monthly,7 (10.4%) tested positive for atrazine at least once during theyear, and 3 (4%) were positive each of the 12 months. Theaverage concentration in the 7 wells was 0.10 µg/L. Fornitrate, 15 (22%) wells in the 10% repeat population monthlysampling were above the Maximum Contaminant Level of 10 mg/L at least once. This paper, the second of two papers on thisstudy, describes the analysis of data from the survey. The firstpaper (Lorber et al., 1997) reviews the study design, theanalytical methodologies, and development of the data base.     

上海市大气中NMHC,NOx,O3和SO2变化规律

通过对上海市大气中光化学主要污染物如ＮＭＨＣ、ＮＯｘ、Ｏ３及ＳＯ２等的日变化监测，发现ＮＯｘ、Ｏ３的日浓度变化与气象条件密切相关，高浓度Ｏ３多出现在晴朗少云，气温较高的大气条件下同步监测发现，Ｏ３与ＮＯｘ呈负相关，相关系数ｒ＝－０．７８５；ｄｍｊ ＳＯ２ｇｎ ＮＭＨＣｅ ｔｖｅ ｖｂ ｒ ｇｈｄ ｓｈ ｕｄ ，ｓｈ ｕｄ ｔｘｉ ｏｖｔ ｒ＝     

8级大震的预测研究讨论

两个8级地震的预测在某种程度上被验证了。一个是 2001 年11月14 日昆仑山口西 8.1 级大震,另一个是 2003年9 月27日中蒙俄交界处的7.9 级地震(矩震级为 8级)。基于月球最北直下点的引潮力触发效应和8级大震的三性法分析,我们预测在2005～2008年间,西藏南部和附近地区可能再次发生 8级大震。     

重庆市主城区大气中NO2浓度时空分布特征

利用2017年1月1日～2017年12月31日重庆市主城区17个国控空气质量监测站24 h自动连续采样的二氧化氮(NO_2)浓度小时数据,探讨九个主城区大气中NO_2浓度的时空分布特征、与气象参数之间的关系和气团运动的影响。结果表明,主城区大气NO_2浓度全年北碚区达标率较高(76.16%),渝中区达标率低(3.84%),日均浓度呈夏季前下降、夏季后上升的趋势;月均浓度表现为冬季月份浓度高,其次为春季、秋季和夏季月份;周六、周日、周一和周二的浓度均值较高,周三、周四和周五的较低;小时浓度基本呈5:00～11:00和16:00～20:00上升、其余时间段下降的变化趋势;大气NO_2浓度空间分布差异显著,西北地区(北碚)大气NO_2浓度偏低、渝中区及其附近区域浓度偏高。影响大气中的NO_2浓度的主要气象因素有:气温、降水量、气压、日照和相对湿度;四季气流输送中,春冬季气流轨迹相似,主要源自西部、西北部气流,春季气流轨迹的ρ(NO_2)最高,夏季最低。研究结果可为今后重庆市大气的治理提供研究基础。     

SPATIO-TEMPORAL CHANGE OF DROUGHT DISASTER IN CHINA IN RECENT FIFTY YEARS

Foreword　Inglobalview ,droughtdisasterisregardedasthemostserioustypeofnaturaldisasterintheworld ,whichhascausedthewidestrangeofeffectsandthebiggesteconomiclosses .Se veredroughtsmainlyoccurinAfrica ,India ,China ,formerSovietUnion ,NorthAmerica ,andAustralia,accountingforalmosthalfofcountriesintheworld .Droughtdisasteroccursfre quentlyinChina ,withwiderangeofinfluence ,whichisthemostseriousmeteorologicaldisas ter ,causingeconomiclossesinagriculture .Fromthe 50’stothe 80’sinthe 2 0thcent…     

塔克拉玛干沙漠腹地沙尘暴特征--以塔中地区为例

塔克拉玛干沙漠是中国油气开发的重要区域，沙尘暴是该区域重要的灾害性天气，但以往相关的研究很少。为了了解塔克拉玛干沙漠腹地沙尘暴的发生规律，利用塔中气象站1997-2002年的气象资料，对塔中地区沙尘暴的强度、过程、类型和时间变化等特征进行了分析。研究结果表明：（1）塔中年平均沙尘暴日数为16．83d，较沙漠北缘的轮台和沙漠南缘的民丰、和田为多，体现出沙尘源对沙尘暴发生的影响；（2）沙尘暴发生之前出现明显的风速突然降低和风向转换；（3）同塔里木盆地其它区域一样，塔中沙尘暴也可分为5种类型，其主导类型为冷空气东灌型；（4）沙尘暴时间变化规律明显，且从20世纪90年代至21世纪初，塔中沙尘暴日数与持时明显下降，同全疆的变化趋势一致。     

SUMMER LOW FLOWS IN NEW ENGLAND DURING THE 20TH CENTURY1

ABSTRACT: High springtime river flows came earlier by one to two weeks in large parts of northern New England during the 20th Century. In this study it was hypothesized that late spring/early summer recessional flows and late summer/early fall low flows could also be occurring earlier. This could result in a longer period of low flow recession and a decrease in the magnitude of low flows. To test this hypothesis, variations over time in the magnitude and timing of low flows were analyzed. To help understand the relation between low flows and climatic variables in New England, low flows were correlated with air temperatures and precipitation. Analysis of data from 23 rural, unregulated rivers across New England indicated little evidence of consistent changes in the timing or magnitude of late summer/early fall low flows during the 20th Century. The interannual variability in the timing and magnitude of the low flows in northern New England was explained much more by the interannual variability in precipitation than by the interannual variability of air temperatures. The highest correlation between the magnitude of the low flows and air temperatures was with May through November temperatures (r =?0.37, p= 0.0017), while the highest correlation with precipitation was with July through August precipitation (r = 0.67, p > 0.0001).     

Systematic Temporal Patterns in the Relationship Between Housing Development and Forest Bird Biodiversity

As people encroach increasingly on natural areas, one question is how this affects avian biodiversity. The answer to this is partly scale‐dependent. At broad scales, human populations and biodiversity concentrate in the same areas and are positively associated, but at local scales people and biodiversity are negatively associated with biodiversity. We investigated whether there is also a systematic temporal trend in the relationship between bird biodiversity and housing development. We used linear regression to examine associations between forest bird species richness and housing growth in the conterminous United States over 30 years. Our data sources were the North American Breeding Bird Survey and the 2000 decennial U.S. Census. In the 9 largest forested ecoregions, housing density increased continually over time. Across the conterminous United States, the association between bird species richness and housing density was positive for virtually all guilds except ground nesting birds. We found a systematic trajectory of declining bird species richness as housing increased through time. In more recently developed ecoregions, where housing density was still low, the association with bird species richness was neutral or positive. In ecoregions that were developed earlier and where housing density was highest, the association of housing density with bird species richness for most guilds was negative and grew stronger with advancing decades. We propose that in general the relationship between human settlement and biodiversity over time unfolds as a 2‐phase process. The first phase is apparently innocuous; associations are positive due to coincidence of low‐density housing with high biodiversity. The second phase is highly detrimental to biodiversity, and increases in housing density are associated with biodiversity losses. The long‐term effect on biodiversity depends on the final housing density. This general pattern can help unify our understanding of the relationship of human encroachment and biodiversity response. Patrones Sistemáticos Temporales en la Relación entre Desarrollos Urbanos y la Biodiversidad de Aves de Bosque     

Assessing Sustainability at Multiple Scales in a Rotational Bushmeat Hunting System

Abstract: Results of many studies show unsustainable levels of bushmeat hunting across West/Central Africa. Nevertheless, these results are usually derived from snapshot sustainability indices in which critical parameters are often taken from the literature. Simple, more informative tools for assessing sustainability are needed. We evaluated the impact of bushmeat hunting across a range of temporal, spatial, and taxonomic scales in a comparison of different measures of sustainability. Over 15 months in 2002–2004 in and around a village close to Equatorial Guinea's Monte Alén National Park, we collected data via a village offtake survey, hunter‐camp bushmeat‐consumption diaries, hunter interviews, and following hunters during hunts. We compared 2003 data with a previous offtake survey (1998–1999) and interview reports back to 1990. In the past 14 years, average distance from the village at which hunters operated remained constant, with hunters switching back and forth between long‐established camps, although trapping effort increased. In the past 5 years, overall offtake and number of active hunters did not change substantially, although catch per unit effort (CPUE) decreased slightly. Although the proportion of the two most commonly trapped species (Cephalophus monticola and Atherurus africanus) and gun‐hunted primates increased in the offtake, species presumably less robust to trapping decreased slightly. Apparent sustainability in economic terms may be masking gradual local extirpation of more vulnerable species before and during this study. Our results suggest that changes in prey profiles and CPUE may be the most accurate indicators of actual sustainability; these indices can be monitored with simple village‐based offtake surveys and hunter interviews to improve community management of bushmeat hunting.