Ostracoda (Arthropoda,Crustacea) in a Miocene oxygen minimum zone,Trinidad, West Indies: A test of the Platycopid Signal Hypothesis

Studies of Recent ostracodes around the area of South America shed little light on the paleoenvironmental interpretation of Miocene assemblages. Consequently, interpretations of the Miocene ostracode assemblages must be supplemented using evidence from better documented taxa. Benthic foraminifera in samples from the Lower to Middle Miocene Brasso Formation at Brasso Village, Trinidad, have previously been used to distinguish three sample groupings (Beneath, Within and Above) around an oxygen minimum zone (OMZ), this being a layer of water within which dissolved oxygen concentrations can be as low as 0.1–1.0 mL/L. Using these same samples and the foraminiferal assemblage demarcations relative to the OMZ, this paper examines the associated and rich ostracode fauna of the Brasso Formation.The mean recovery of ostracode valves per sample was approximately three times greater in the Within OMZ sample group than in either of the Beneath OMZ or Above OMZ groups, perhaps reflecting the exclusion of macro-predators from within the OMZ. Individual rarefaction of species richness S to N = 300 valves was conducted for each sample group. This showed that S did not differ between the sample groups, ranging from 22.4 to 24.8. We used all ostracode species to model group separation. Based upon the Mahalanobis’ criterion, we obtained significant group separation using a model with four taxa: Munseyella ex gr. minuta, Argilloecia posterotruncata, Munseyella sp. and Xestoleberis sp., while a fifth, Argilloecia spp., provided a significant but minor increase in separation probabilities over all groups. The two most abundant species (Bradleya sp., Gangamocytheridea reticulata) were thus not the best species for detecting the OMZ. Platycopid ostracodes of the genus Cytherella were found throughout the section, rather than concentrated within the OMZ, which contradicts the Platycopid Signal Hypothesis that OMZs are characterized by platycopid dominance. The total distribution and turnover of both ostracodal and foraminiferal assemblages were compared and contrasted quantitatively using a total assemblage turnover index (ATI) and the paleoenvironmental importance evaluated. The correlated between-sample ATI is for both groups lowest within the OMZ.     

论气候变暖背景下干旱和干旱灾害风险特征与管理策略简

The drought is a most severe natural disaster worldwide, which leads to great risk in human being. The drought disaster and risk have more prominent because of obvious climatic warming in the last hundred years. At present, the understanding of the internal laws of the occurrence of drought and drought risk is not comprehensive, and the recognition of the characteristics of the drought and drought risk under climatic warming is obscure. In this paper, we summarized systematically the domestic and overseas research progress of the drought and drought disaster risk, introduced the principle of the drought disaster transfer process and the essential features of drought disaster, analyzed synthetically the main characteristics and interactions among the key factors of the drought disaster risk, discussed the effect of climatic warming on drought and drought disaster risk, and probed into the basic requirement of drought disaster risk management. Above all, we provide the main protective measurements of the drought disaster and the main strategy of drought disaster risk management.     

中国民宿网络关注时空特征及影响因素研究

网络搜索体现了人们对某种事物或现象的现实关注与潜在需求情况,是游客潜在出游行为的一种前兆。对民宿网络关注时空分布特征的研究,可以明确我国民宿需求的时空分布规律,为优化我国民宿行业发展空间布局提供理论参考。基于2015—2019年中国大陆31个省域空间单元的民宿网络搜索数据,使用赫芬达尔指数、季节性集中指数、周内分布偏度指数、地理集中指数、变差系数、首位度等指标,对中国民宿网络关注度的时空分布特征进行分析。研究发现：（1）中国民宿网络关注度在2015—2019年呈现明显的波动趋势,季节性分布差异明显,网络关注度在假日前期会出现显“前兆”效应;（2）中国民宿网络关注度存在地域不均衡性,空间分布上呈现“东部-中部-西部”依次递减的整体趋势,2015—2019年民宿网络关注度的区域集聚程度在降低,区域间差异在缩小;（3）气候的舒适性和闲暇时间是影响民宿网络关注度时间分布的主要因素,客源地的经济发展水平、居民购买力、人口规模、互联网发达程度、受教育程度和民宿业发展水平均会对民宿网络关注度的空间分布产生影响。     

一种基于最佳指数模型的 TM 遥感影像最佳波段组合计算方法

如何通过定量计算选择最佳波段组合一直是TM等多波段遥感影像信息提取的研究热点。本文综合利用Erdas提供的可视化空间建模工具（ Spatial Modeler ）和面向对象的编程技术,提出了一种基于最佳指数（ Opti-mum Index Factor ,OIF）的定量计算与定性分析相结合的TM遥感影像最佳波段组合方法。实验证明,该方法快速有效,极大提升了TM等多波段遥感影像最佳波段组合的计算过程。     

Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin,India

Drought is a natural phenomenon posing severe implications for soil, groundwater and agricultural yield. It has been recognized as one of the most pervasive global change drivers to affect the soil. Soil being a weakly renewable resource takes a long time to form, but it takes no time to degrade. However, the response of soil to drought conditions as soil loss is not manifested in the existing literature. Thus, this study makes a concerted effort to analyze the relationship between drought conditions and soil erosion in the middle sub-basin of the Godavari River in India. MODIS remote sensing data was utilized for driving drought indices during 2000–2019. Firstly, we constricted Temperature condition index (TCI) and Vegetation Condition Index (VCI) from Land Surface Temperature (LST) and Enhanced Vegetation Index (EVI) derived from MODIS data. TCI and VCI were then integrated to determine the Vegetation Health Index (VHI). Revised Universal Soil Loss Equation (RUSLE) was utilized for estimating soil loss. The relationship between drought condition and vegetation was ascertained using the Pearson correlation. Most of the northern and southern watersheds experienced severe drought condition in the sub-basin during 2000–2019. The mean frequency of the drought occurrence was 7.95 months. The average soil erosion in the sub-basin was estimated to be 9.88 t ha^?1 year^?1. A positive relationship was observed between drought indices and soil erosion values (r value being 0.35). However, wide variations were observed in the distribution of spatial correlation. Among various factors, the slope length and steepness were found to be the main drivers of soil erosion in the sub-basin. Thus, the study calls for policy measures to lessen the impact of drought and soil erosion.     

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.     

扎龙保护区丹顶鹤栖息地适宜性评价

结合TM影像和ENVISAT ASAR(HH/HV)数据,以扎龙保护区丹顶鹤栖息地为研究对象,在分布式定量提取评价因子(植被类型、生境结构、巢下水深、植被盖度、人为干扰)的基础上,建立HSI模型对丹顶鹤栖息地质量进行评价,并根据实测巢址空间分布情况对评价结果进行验证。结果表明:基于主观专家知识建立的HSI模型得到丹顶鹤高适宜栖息地面积为48km2,适宜栖息地面积为265km2,低适宜栖息地面积为385km2,不适宜栖息地面积为1 403km2,结合实测数据验证,得出高适宜、适宜和低适宜栖息地巢址共占实测巢址的92.86%,不适宜栖息地巢址占7.14%。经检验HSI模型对淡水沼泽湿地典型水禽栖息地的质量评价有良好的适用性。     

大理州潜在蒸散量的计算及应用

利用云南大理州12个气象站1961—2010年气温、日照、风速、蒸发量等观测资料,运用彭曼—蒙蒂斯公式计算大理州潜在蒸散量及湿润度指数,并对大理州潜在蒸散量的时空分布特征进行分析,对干旱情况进行评价。结果表明,大理州潜在蒸散量东部大,南部次之,北部最小。月潜在蒸散量5月最大,12月最小,1—5月递增,5—12月递减。1994—2010的平均潜在蒸散量明显大于1961—1993年。大理州潜在蒸散量与降水量、水汽压、气温、净辐射呈显著正相关关系,与风速没有明显的相关关系。正常年份大理州11月至次年5月都存在不同程度的干旱。     

An investigation of sand–dust storm events and land surface characteristics in China using NOAA NDVI data

Observations from 560 weather stations in China show that sand–dust storms occur most frequently in April in north China. The region consists of Sub-dry Mid Temperate, Dry Mid Temperate, Sub-dry South Temperate and Dry South Temperate Zones and much of the land surface is desert or semi-desert: it is relatively dry with minimal rainfall and a high annual mean temperature. In most regions of China, the annual mean frequency of sand–dust events decreased sharply between 1980 and 1997 and then increased from 1997 to 2000. Statistical analyses demonstrate that the frequency of sand–dust storms correlates highly with wind speed, which in turn is strongly related to land surface features; on the other hand, a significant correlation between storm events and other atmospheric quantities such as precipitation and temperature was not observed. Accordingly, land surface cover characteristics (vegetation, snowfall and soil texture) may play a significant role in determining the occurrence of sand–dust storms in China. Analysis of Normalized Difference Vegetation Index derived from National Oceanic and Atmospheric Administration and Empirical Orthogonal Function show that since 1995 surface vegetation cover in large areas of Northern China has significantly deteriorated. Moreover, a high correlation is shown to exist among the annual occurrence of sand–dust storms, surface vegetation cover and snowfall. This suggests that the deterioration of surface vegetation cover may strongly influence the occurrence of sand–dust storms in China. Soils with coarse and medium textures are found to be more associated with sand–dust storms than other soils.     

建设项目大气环境影响评价的Fuzzy综合评判方法

本文将Fuzzy综合评判方法应用于建设项目的大气环境影响评价,并通过与其它评价方法的比较,说明Fuzzy综合评判方法在建设项目大气环境影响评价中的可行性和客观性。