Modelling global-scale potential grassland changes in spatio-temporal patterns to global climate change

Grassland is one of the most widespread vegetation types worldwide and plays a significant role in global carbon cycling. Understanding the sensitivity of grassland to climate change and the effect of climate changes on the grassland ecosystems is a key issue in global carbon cycling. One of the goals of this study was to evaluate the three net primary productivity (NPP)–climate models, i.e. the Miami model, the Schuur model and the classification indices-based model. Results indicated that the classification indices-based model was the most effective model at estimating large-scale grassland NPP. In this research, changes in the spatial pattern of global potential grassland from recent past (1950–2000) to future (2001–2050) A2a scenario were analysed with the integrated orderly classification system of grassland (IOCSG) approach in a Geographic Information System (GIS) environment. NPP was evaluated with the classification indices-based model. Results indicate that under recent past climatic conditions, the main parts of global grassland are the savanna and tundra and alpine grassland and will be converted into the savanna, steppe and semi-desert grassland in A2a scenario. As a whole, areas of grassland will increase by 31.76 million hectares. The classification indices-based model estimated a 12.40% increase of total NPP in grassland from recent past to A2a scenario. It will impose a new issue for future grassland researches to support sustainable development and to provide action relevant knowledge to meet the challenge of climate change.     

Strengthening the employment relationship: The effects of work‐hours fit on key employee attitudes

Today's hourly workers are facing revised work schedules and shifting hours, which may have critical implications for employment relationships. This study considers the impact of work‐hours fit on key attitudes of hourly employees—perceived organizational support, job stress, work–family conflict, intent to turnover, and life satisfaction. We define work‐hours fit as the difference between an employee's desired number of hours and the actual hours worked, and we examine both the congruence of work‐hours fit and the degree of misfit. We also examine the moderating impact of the type of misfit, defined as working too many versus too few hours. Results indicate that, in our sample, hourly employees are typically not working the hours they prefer. As predicted, work‐hours fit impacts the attitudes we examined, and, when considering the type of misfit, congruence matters more for life satisfaction and intent to turnover. Results also indicate working too few hours impacts job stress and life satisfaction, whereas working too many effects work–family conflict. This paper demonstrates the importance of preferences, as a reflection of time/money resource trade‐offs, and offers ways for employers to improve work–family facilitation and strengthen their employment relationships. Copyright © 2014 John Wiley & Sons, Ltd.     

Factors a ecting trace element content in periurban market garden subsoil in Yunnan Province, China

Field investigations were conducted to measure subsoil trace element content and factors influencing content in an intensive periurban market garden in Chenggong County, Yunnan Province, South-West China. The area was divided into three di erent geomorphological units: specifically, mountain (M), transition (T) and lacustrine (L). Mean trace element content in subsoil were determined for Pb (58.2 mg/kg), Cd (0.89 mg/kg), Cu (129.2 mg/kg), and Zn (97.0 mg/kg). Strong significant relationships between trace element content in topsoil and subsoil were observed. Both Pb and Zn were accumulated in topsoil (RTS (ratio of mean trace element in topsoil to subsoil) of Pb and Zn >1.0) and Cd and Cu in subsoil (RTS of Cd and Cu 61.0). Subsoil trace element content was related to relief, stoniness, soil color, clay content, and cation exchange capacity. Except for 7.5 YR (yellow-red) color, trace element content increased with color intensity from brown to reddish brown. Significant positive relationships were observed between Fe content and that of Pb and Cu. Trace element content in mountain unit subsoil was higher than in transition and lacustrine units (M > T > L), except for Cu (T > M > L). Mean trace element content in calcareous subsoil was higher than in sandstone and shale. Mean trace element content in clay texture subsoil was higher than in sandy and sandy loam subsoil, and higher Cu and Zn content in subsoil with few mottles. It is possible to model Pb, Cd, Cu, and Zn distribution in subsoil physico-chemical characteristics to help improve agricultural practice.     

有机磷农药对海洋扁藻毒性构效关系的密度泛涵理论研究

采用密度泛函理论方法,在B3LYP/6-311G**水平上,计算了11个有机磷农药化合物的结构参数,将结构参数作为理论描述符,导出了有机磷类化合物的分子结构参数与2种盐度(S=20,S=30)下扁藻毒性(-lgEC50)的定量关系式(式(3)和(6)),并用交叉验证法验证,相关系数R分别为0.923 2和0.893 3,交叉验证相关系数q2分别为0.527 0和0.540 5.在此基础上,预测了11种有机磷农药的毒性.研究表明,所得预测方程有较好的稳定性和较强的预测能力.可用于有机磷化合物的-lgEC50预测.     

Characteristics of indoor/outdoor PM2.5 and elemental components in generic urban, roadside and industrial plant areas of Guangzhou City, China

Quantitative information on mass concentrations and other characteristics, such as spatial distribution, seasonal variation, indoor/outdoor （I/O） ratio, correlations and sources, of indoor and outdoor PM2.5 and elemental components in Guangzhou City were provided. Mass concentration of PM2.5 and elemental components were determined by standard weight method and proton-induced X-ray emission （PIXE） method. 18 elements were detected, the results showed positive results. Average indoor and outdoor PM2.5 concentrations in nine sites were in the range of 67.7-74.5μg/m^3 for summer period, and 109.9-123.7 μg/m^3 for winter period, respectively. The sum of 18 elements average concentrations were 5362.6-5533.4 ng/m^3 for summer period, and 8416.8-8900.6 ng/m^3 for winter period, respectively. Average concentrations of PM2.5 and element components showed obvious spatial characteristic, that the concentrations in roadside area and in industrial plant area were higher than those in generic urban area. An obvious seasonal variation characteristic was found for PM2.5 and elemental components, that the concentrations in winter were higher than that in summer. The I/O ratio of PM2.5 and some elemental components presented larger than 1 sometimes. According to indoor/outdoor correlation of PM2.5 and element concentrations, it was found that there were often good relationships between indoor and outdoor concentrations. Enrichment factors were calculated to evaluate anthropogenic versus natural elements sources.     

含硫苯衍生物对发光细菌的毒性效应及其定量结构活性相关分析

利用发光细菌法测定了29种氯取代和硝基取代的苯硫(砜、亚砜)基乙酸酯的毒性,通过定量结构活性相关(QSAR)分析发现:此类化合物的毒性主要与其取代基的电荷效应相关,电荷的区域分布对化合物的毒性效应有重要影响.推测该化台物的毒性机理是毒物分子与发光反应中的主要辅酶FMNH_2形成了氢键.还发现:在这类链状毒物分子中,远离活性中心一端的基团具有脱毒作用.     

The importance of spatial autocorrelation,extent and resolution in predicting forest bird occurrence

Concerns about declines in forest biodiversity underscore the need for accurate estimates of the distribution and abundance of organisms at large scales and at resolutions that are fine enough to be appropriate for management. This paper addresses three major objectives: (i) to determine whether the resolution of typical air photo-derived forest inventory is sufficient for the accurate prediction of site occupancy by forest birds. We compared prediction success of habitat models using air photo variables to models with variables derived from finer resolution, ground-sampled vegetation plots. (ii) To test whether incorporating spatial autocorrelation into habitat models via autologistic regression increases prediction success. (iii) To determine whether landscape structure is an important factor in predicting bird distribution in forest-dominated landscapes. Models were tested locally (Greater Fundy Ecosystem [GFE]) using cross-validation, and regionally using an independent data set from an area located ca. 250 km to the northwest (Riley Brook [RB]). We found significant positive spatial autocorrelation in the residuals of at least one habitat model for 76% (16/21) of species examined. In these cases, the logistic regression assumption of spatially independent errors was violated. Logistic models that ignored spatial autocorrelation tended to overestimate habitat effects. Though overall prediction success was higher for autologistic models than logistic models in the GFE, the difference was only significantly improved for one species. Further, the inclusion of spatial covariates did little to improve model performance in the geographically discrete study area. For 62% (13/21) of species examined, landscape variables were significant predictors of forest bird occurrence even after statistically controlling for stand-level variability. However, broad spatial extents explained less variation than local factors. In the GFE, 76% (16/21) of air photo and 81% (17/21) of ground plot models were accurate enough to be of practical utility (AUC > 0.7). When applied to RB, both model types performed effectively for 55% (11/20) of the species examined. We did not detect an overall difference in prediction success between air photo and ground plot models in either study area. We conclude that air photo data are as effective as fine resolution vegetation data for predicting site occupancy for the majority of species in this study. These models will be of use to forest managers who are interested in mapping species distributions under various timber harvest scenarios, and to protected areas planners attempting to optimize reserve function.     

部分硝基芳烃对鲤鱼的急性毒性及定量构效关系

本文报告了２６个硝基芳烃大对鲤鱼的急性毒性，应用ＬＳＥＲ法得出了相关关系显著的ＱＳＡＲ方程。化合物分子的本征体积是毒性的主要影响因素。硝基芳烃的毒性随着分子本征体积，αｍ和Ｉ值的增大而增大，随着βｍ值的增大而减小。     

安徽涡河流域水化学与同位素特征及水体转化关系

以安徽涡河流域为研究区域,通过采集涡河地表水、浅层地下水和中深层地下水样品,运用Gibbs图、离子比例和MixSIAR模型等方法对各类水体的水化学参数和氢氧同位素进行分析,揭示并量化了各类水体之间的转化关系.结果表明,研究区地表水和地下水主要呈现中性至弱碱性,地表水的水化学类型以Cl·SO₄ ·HCO₃ -Na和Cl·SO₄ -Na型为主,浅层地下水以HCO₃ -Ca·Mg和HCO₃ -Mg·Na型为主,中深层地下水主要为Cl·HCO₃ -Na型.各类水体的水化学特征受到岩石风化、蒸发浓缩及正向阳离子交换等多重因素共同影响.地表水和地下水的δ¹⁸O和δ²H分布特征表明大气降水是该区域水体的主要补给来源,且地下水δ¹⁸O和δ²H值与K⁺、Na⁺、Cl^-、SO₄ ^2-和NO 3^-浓度存在显著相关性.根据MixSIAR模型分析结果,地表水接受大气降水和浅层地下水的贡献率分别为46.5 %和53.5 %;浅层地下水的补给来源分别为大气降水（57.4 %）和地表水（42.6 %）;中深层地下水的补给主要来自上游地下水的侧向径流补给.