Coadaptive changes in physiological and biophysical traits related to thermal stress in web spiders

Web spiders are considered to have expanded their habitats from dim to bright environments during the evolutionary history. Because they are sedentary predators exposed to the sun, they may have developed a suite of adaptive traits to cope with thermal stress. We examined the critical thermal maximum, spectral reflectance of solar energy by the body surface, and surface–volume ratio (SVR) for 11 spider species. Analysis of the four genera having a pair of species inhabiting both bright and dim environments showed that species in bright environments exhibited higher lethal temperatures, but spectral reflectance and SVR did not differ. Independent contrasts using the 11 species indicated that critical thermal maximum was positively correlated with spectral reflectance and spectral reflectance was negatively correlated with SVR. These results suggest that physiological tolerance to high temperatures and a biophysical mechanism to reduce heat gain evolved jointly during the history of habitat expansion in araneoid spiders.     

漫反射光谱法测定环境样品中的微量汞

基于Hg^2＋与KI-CuSO4反应生成橙红色Cu2HgI4,用漫反射光谱直接测定汞沉淀物.探讨了该方法的影响因素及测定条件.方法的线性范围0.1-6.0μg,检测限为0.01μg,用于污水及土壤样品中微量汞的测定回收率达96%-102%.     

SeaWiFS资料水色辐射模式验证的研究

从１９９４ 年～１９９７ 年，作者对杭州湾与长江口海区、台湾至吕宋以东海区和渤海海区，进行了多次光谱测量和同步取样试验，将试验所得资料经计算机处理，确定了三种验证区域各种水色要素与遥感光谱值之间的关系，提出适用于我国验证区域各种水色的验证模式。其各水色模式验证偏差均小于２０％ ，并适用于我国海域ＳｅａＷｉＦＳ水色遥感应用。     

A pilot study on the effect of Cu,Zn, and Cd on the spectral curves and chlorophyll of wheat canopy at tiller stage

The aim of this study was to investigate canopy spectral reflectance responses to different levels of heavy metals copper (Cu), zinc (Zn), and cadmium (Cd) induced stress. Random blocks design experiment was conducted to simulate Cu, Zn, and Cd at five concentration levels. Chlorophyll and visible and near infrared canopy reflectance were measured for each treatment 56 days after seeding using chlorophyll meter SPAD-502 and spectroradiometer, respectively. New vegetative indices termed ratio of inclination angles (RIA), MERIS (the medium resolution imaging spectrometer) terrestrial chlorophyll index (MTCI), and normalized difference vegetation index (NDVI) were used to assess the response of canopy spectral reflectance to different heavy metal levels. Significant spectral variability especially in blue, red, and near infrared reflectance was observed for different heavy metal treatments. One-sample test showed significant difference for NDVI, MTCI, and RIA among five-level treatments at the 0.01 level. Correlation analysis demonstrated that the two vegetative indices (RIA and MTCI) were significantly correlated with chlorophyll meter values for Cd, Cu, and Zn treatments. However, NDVI was only significantly correlated with chlorophyll meter values for Cu and Zn treatments. Linear regression analysis also illustrated that RIA and MTCI were potential indices for predicting chlorophyll concentration with significant F test under Cu-, Zn-, and Cd-mediated stress.     

Studies on reflective features of Norway spruce and their possible applications in remote sensing of forest damage∗

Reflective features of Norway spruce have been studied as a part of a multi‐level experiment in order to assess and to develop methods for early forecasting of forest damages by remote sensing. Discoloration and histological changes were investigated by high resolution reflectance spectroscopy and true‐color image interpretation of histological cuts, respectively. Major changes of reflectances were detected in the visible spectral range 480–680 nm depending on degree of tree's damages and/or needle discoloration. Related histological changes depending on degree of tree's damage were hypertrophy of chloroplasts, plasmolysis and partial loss of compartmentalization. Development and use of several highly sensitive channels with narrow bandwidths between 480 and 680 nm, e.g. 480, 550, 680, 760 nm, for early assessment of forest damages by remote sensing could be recommended.     

Effects of soiling and cleaning on the reflectance and solar heat gain of a light-colored roofing membrane

A roof with high solar reflectance and high thermal emittance (e.g., a white roof) stays cool in the sun, reducing cooling power demand in a conditioned building and increasing summertime comfort in an unconditioned building. The high initial solar reflectance of a white membrane roof (circa 0.8) can be lowered by deposition of soot, dust, and/or biomass (e.g., fungi or algae) to about 0.6; degraded solar reflectances range from 0.3 to 0.8, depending on exposure. We investigate the effects of soiling and cleaning on the solar spectral reflectances and solar absorptances of 15 initially white or light-gray polyvinyl chloride membrane samples taken from roofs across the United States. Black carbon and organic carbon were the two identifiable strongly absorbing contaminants on the membranes. Wiping was effective at removing black carbon, and less so at removing organic carbon. Rinsing and/or washing removed nearly all of the remaining soil layer, with the exception of (a) thin layers of organic carbon and (b) isolated dark spots of biomass. Bleach was required to clear these last two features. At the most soiled location on each membrane, the ratio of solar reflectance to unsoiled solar reflectance (a measure of cleanliness) ranged from 0.41 to 0.89 for the soiled samples; 0.53 to 0.95 for the wiped samples; 0.74 to 0.98 for the rinsed samples; 0.79 to 1.00 for the washed samples; and 0.94 to 1.02 for the bleached samples. However, the influences of membrane soiling and cleaning on roof heat gain are better gauged by fractional variations in solar absorptance. Solar absorptance ratios (indicating solar heat gain relative to that of an unsoiled membrane) ranged from 1.4 to 3.5 for the soiled samples; 1.1 to 3.1 for the wiped samples; 1.0 to 2.0 for the rinsed samples; 1.0 to 1.9 for the washed samples; and 0.9 to 1.3 for the bleached samples.     

AN ALGORITHM FOR ESTIMATING SURFACE SUSPENDED SEDIMENT CONCENTRATIONS WITH LANDSAT MSS DIGITAL DATA1

ABSTRACT: Algorithms for Landsat MSS digital data are needed to reduce the necessity of calibrating each Landsat scene if these data are to be useful in monitoring programs for surface suspended sediments. In this study digital data were extracted from 16 Landsat Multispectral Scanner (MSS) scenes collected between March 1987 and August 1988 over Enid Reservoir in North Central Mississippi. These data were converted to radiance and reflectance data for comparison with field measurements of surface suspended sediment concentrations. Concentrations ranged from 2 to 168 mg/1 during the study with only four greater than 100 mg/l. Linear and polynomial regression analyses were used to relate the surface suspended sediment concentrations with radiance and reflectance. Reflectance in MSS band 2 (0.6 to 0.7 μm) and MSS band 3 (0.7 to 0.8 μm) were best related to the surface suspended sediment concentrations with coefficients of determination accounting for 71 percent and 68 percent of the variation in the data, respectively. Regressions with radiance data accounted for 36 percent (band 2) or less of the variation. Logarithmic transformations of either reflectance or sediment concentrations increase the coefficients of determination for MSS band 2 reflectance data to 81 percent. Regressions between the ratio of MSS band 1 to MSS band 2 reflectances and concentrations also accounted for 80 percent of the variation. An equation Log_e SS (mg/l) = 9.21R½+ 2.71R½2 + 8.45, where S is surface suspended sediment concentrations and R¹/₂ is the ratio of MSS band 1 to MSS band 2 reflectances, provided the best fit to the data with a coefficient of determination of 0.82. This equation is essentially the same as an algorithm proposed by Topliss et at. (1990), for estimating surface suspended sediment concentrations in Canadian coastal waters. These equations for Enid Reservoir and Canadian waters suggest that it may be possible to develop an algorithm for widespread use for estimating surface suspended sediments.     

应用海相镜质组反射率研究华北地区下古生界成熟度

如何评价下古生界高－过成熟海相碳酸盐岩成熟度是当前急需解决的问题。笔者通过对华北地区下古生界海相烃源岩的有机岩石学分析，确认下古生界高－过成熟碳酸盐岩中普遍存在海相镜质体，建立了海相镜质体反射率与镜质组反射率之间的关系。     

湿地植被叶面积指数对光化学指数和光能利用率关系的影响————基于实测数据和PROSPECT-SAIL模型

光化学指数PRI(Photochemical Reflectance Index)是估算光能利用率LUE(Light Use Efficiency)的一种快速监测的有效指标,分析各种因素对二者的影响是提高估算精度的前提.论文针对三种杭州湾典型湿地植物 [旱柳(Salix matsudana),柽柳(Tamarix chinensis)和芦苇(Phragm itescommunis)],实地观测了其光合作用及日变化,叶面积指数以及同步植被光谱.同时采用PROSPECT-SAIL模型模拟叶面积指数LAI(Leaf Area Index)从小到大变化时植被冠层反射率,分析LAI的变化对冠层PRI的影响.结果表明:1)三种植被在日变化上,芦苇,旱柳和柽柳的PRI和LUE的相关性较好,R²分别为0.581 6,0.524 6和0.514 6;而对同一种植被在不考虑时间变化的条件下,PRI和LUE的相关性会有所减弱,对于LAI较小的冠层,PRI不能精确反映LUE;2)当LAI < 5时,冠层下土壤背景对冠层PRI影响较大,在不同土壤背景下,土壤亮度低的对冠层PRI影响较小;3)当LAI > 5时,土壤背景对冠层PRI影响较小,冠层自身的LAI才是影响PRI和LUE相关性的决定因素.因此,PRI和LUE关系模型还需要进一步探索和完善,引入更精确的模型和参数,不断提高LUE估算的准确度.     

压力对镜质组反射率与烃类生成的影响

镜质组反射率是广泛使用的成熟度参数 ,长期以来人们普遍认为温度和时间是控制镜质组反射率的主要因素 ,而压力对反射率的影响人们知之甚少。本文综述了模拟实验和地质实例中压力对镜质组反射率和烃类生成影响的不同观点。介绍了过压造成镜质组反射率延尺的两个动力学模型