Patterns of Spatial Autocorrelation in Stream Water Chemistry

Geostatistical models are typically based on symmetric straight-line distance, which fails to represent the spatial configuration, connectivity, directionality, and relative position of sites in a stream network. Freshwater ecologists have explored spatial patterns in stream networks using hydrologic distance measures and new geostatistical methodologies have recently been developed that enable directional hydrologic distance measures to be considered. The purpose of this study was to quantify patterns of spatial correlation in stream water chemistry using three distance measures: straight-line distance, symmetric hydrologic distance, and weighted asymmetric hydrologic distance. We used a dataset collected in Maryland, USA to develop both general linear models and geostatistical models (based on the three distance measures) for acid neutralizing capacity, conductivity, pH, nitrate, sulfate, temperature, dissolved oxygen, and dissolved organic carbon. The spatial AICC methodology allowed us to fit the autocorrelation and covariate parameters simultaneously and to select the model with the most support in the data. We used the universal kriging algorithm to generate geostatistical model predictions. We found that spatial correlation exists in stream chemistry data at a relatively coarse scale and that geostatistical models consistently improved the accuracy of model predictions. More than one distance measure performed well for most chemical response variables, but straight-line distance appears to be the most suitable distance measure for regional geostatistical modeling. It may be necessary to develop new survey designs that more fully capture spatial correlation at a variety of scales to improve the use of weighted asymmetric hydrologic distance measures in regional geostatistical models.     

Introduction to the Biological Monitoring and Abatement Program

This paper provides an introduction to a long-term biological monitoring program and the Environmental Management special issue titled Long-term Biological Monitoring of an Impaired Stream: Implications for Environmental Management. The Biological Monitoring and Abatement Program, or BMAP, was implemented to assess biological impairment downstream of U.S. Department of Energy (DOE) facilities in Oak Ridge, Tennessee, beginning in 1985. Several of the unique aspects of the program include its long-term consistent sampling, a focus on evaluating the effectiveness of specific facility abatement and remedial actions, and the use of quantitative sampling protocols using a multidisciplinary approach. This paper describes the need and importance of long-term watershed-based biological monitoring strategies, in particular for addressing long-term stewardship goals at DOE sites, and provides a summary of the BMAP’s objectives, spatial and temporal extent, and overall focus. The primary components of the biological monitoring program for East Fork Poplar Creek in Oak Ridge, Tennessee are introduced, as are the additional 9 papers in this Environmental Management special issue.     

Resource abundance and financial development: Evidence from China

In this paper, we extend the debate on the resource curse by focusing on a new mechanism. Theoretically, resource abundance may have a negative influence on financial development by impacting trade openness, the demand for financial reforms, social capital accumulation and productive investments. Using provincial panel data of China, the empirical analysis confirms such a negative link between mineral resource abundance and financial development. The resource-rich regions tend to have a slower pace of financial development than resource-poor ones. Since the positive relationship between financial development and long-run growth is also confirmed by the analysis, our findings suggest that financial development constitutes an important mechanism through which resource abundance can impact economic performance.     

The crucial role of the accessible area in ecological niche modeling and species distribution modeling

Using known occurrences of species and correlational modeling approaches has become a common paradigm in broad-scale ecology and biogeography, yet important aspects of the methodology remain little-explored in terms of conceptual basis. Here, we explore the conceptual and empirical reasons behind choice of extent of study area in such analyses, and offer practical, but conceptually justified, reasoning for such decisions. We assert that the area that has been accessible to the species of interest over relevant time periods represents the ideal area for model development, testing, and comparison.     

And restorative justice for all: Redemption,forgiveness, and reintegration in organizations

We explore the topic of restorative justice in organizations. The tradition of restorative justice directs attention to the aftermath of wrongdoing. We highlight three ways offenders (making amends), victims (extending forgiveness), and organizations (fostering reintegration) restore justice in the workplace. Our paper concludes with questions for future research and inquiry. Copyright © 2009 John Wiley & Sons, Ltd.     

Prenatal testing for Imprinting Disorders: A clinical perspective

Imprinting Disorders (ImpDis) are a group of congenital conditions caused by aberrant imprinting resulting in disturbed expression of parentally imprinted genes. ImpDis are rarely associated with major malformations, but pre- and/or postnatal growth and nutrition are often affected. In some ImpDis, behavioral, developmental, metabolic and neurological symptoms might present in the perinatal context or later in life, and in single ImpDis, there is a higher risk of tumors in childhood. Prognosis depends in part on the molecular cause of each ImpDis, but due to high clinical variability and (epi)genetic mosaicism, predicting the clinical outcome of a pregnancy solely based on the underlying molecular disturbance is difficult. Therefore, interdisciplinary care and treatment approaches play an important role in the management and decision making of affected pregnancies, especially taking into account fetal imaging in addition to genetic findings. Prenatal findings influence perinatal management, and thereby improve the prognosis of ImpDis associated with severe but sometimes transient clinical complications in the neonatal period. Therefore, prenatal diagnosis can be crucial for appropriate management not only to the pregnancy itself but might also have a life-long effect.     

环境变化背景下北极生物的多样性、分布及其适应性

生物个体是对气候变化和紫外线B(UV－B)辐射变化产生反应的基础,而且这种反应会在各种时间尺度上发生.北极地区的动物、植物以及微生物种类的多样性从表面上看是低的,而且从北方针叶林到极地荒漠逐渐减少,但其原始物种却很丰富.与这种物种多样性随纬向梯度减少的趋势相反,一些空间分布范围很广的单一优势物种的优势度则呈增长趋势.全球气候变暖可能会减少该地区的物种多样性,并限制到这些物种的分布范围,尤其是在该地区生物分布的北部边缘,一些极地特有的动物和植物种类会面临着灭绝的危险.最有可能侵入苔原地带的物种是那些目前生存在极地外缘的北方地区生物.许多植物都具有自身的特征使它们能够在以下环境中生存短暂的无冰雪覆盖的生长季节,低的太阳高度角,永久冻结地带及低的土壤温度,贫乏的养分获取条件以及极少的物理扰动.以上这些特征有些可能会限制当地物种对气候变暖的反应,但其最主要的因素是这些物种与那些潜在的入侵物种相比缺乏竞争能力.北极地区陆生动物拥有许多适应特性,这使它们能够适应北极地区剧烈的温度变化.许多动物通过冬眠或迁移来逃避极地地区的恶劣天气和资源短缺.北极地区动物生存的生物环境则相对简单几乎没有天敌、竞争者、疾病、寄生生物,但同时食物资源也很短缺.极地陆生动物可能对由气候变化带来的温暖而干旱的夏季非常不适应,这种变化将会影响到动物的迁移路线、途中栖息地,并会改变冬季积雪的状况和冻融的循环过程.气候变化还会改变动物繁殖和发育的季节,并会引来新的竞争者、捕食者、寄生生物以及疾病等.极地微生物也能很好地适应该地区的气候一些微生物甚至在-39℃的低温下还能进行代谢活动.蓝藻细菌和藻类生物有着很广泛的适应策略,这能够使它们避免(至少可以减少)紫外线的伤害.微生物能够忍受许多环境条件,而且其生长周期很短,这些特点将使它们能很快适应新的生存环境.与此形成对比的是,极地植物和动物很可能通过改变其分布范围而不是积极的生物进化来适应环境的变暖.