黄瓜砧用白籽南瓜对不同盐胁迫的耐性评价

采用营养液栽培,研究Ca(NO₃)₂和NaCl胁迫对黄瓜嫁接用砧木南瓜幼苗生长和抗氧化酶活性的影响,并用隶属函数法综合评价其耐盐性.结果表明： 低浓度盐30 mmol·L^-1Ca(NO₃)₂和等渗的45 mmol·L^-1 NaCl处理促进砧木幼苗生长;高浓度盐60、120 mmol·L^-1Ca(NO₃)₂和等渗的90、180 mmol·L^-1NaCl胁迫下,各砧木幼苗的生长和抗氧化酶系统均受到不同程度的抑制,其中,‘青砧1号’的盐害指数最小,生物量及超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性的下降幅度以及相对电导率的上升幅度均小于其他砧木.高盐Ca(NO₃)₂胁迫下,各砧木SOD、POD和CAT酶活性均高于等渗的NaCl,而盐害指数和相对电导率低于NaCl,表明Ca(NO₃)₂对砧木南瓜幼苗生长的危害小于NaCl.4个砧木品种的耐盐性顺序为‘青砧1号’>‘佐木南瓜’>‘丰源铁甲’>‘超霸南瓜’.     

基于激光雷达数据的森林表层土壤有机质空间格局反演

森林土壤是陆地生态系统的主要碳库,其有机质含量是估算碳储量的基础数据,也是评价土壤碳汇功能的重要指标.利用2009年8月采集的凉水自然保护区激光雷达（LiDAR）数据和55块固定样地土壤有机质含量数据,结合偏最小二乘算法,反演森林表层土壤有机质的空间格局,提取并筛选出与土壤有机质分布相关的变量,分析并确定变量（强度、点数、高程、坡度和坡向）值与土壤有机质含量的相关关系,建立土壤有机质含量的预测模型并检验.结果表明： 研究区域表层土壤有机质含量与强度、点数和高程3变量呈极显著相关（r分别为0.765、0.423和0.475）;基于此3变量的预测模型对研究区域表层土壤有机质含量的预测结果可靠（精度83.3%,R²=0.725,RMSE=1.955）.研究区林缘和郁闭度较小林分的表层土壤有机质含量<100 g·kg^-1;大部分区域表层土壤有机质含量为100~150 g·kg^-1,少部分区域为150~318.4 g·kg^-1.     

Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation

Vegetation biomass is a key biophysical parameter for many ecological and environmental models. The accurate estimation of biomass is essential for improving the accuracy and applicability of these models. Light Detection and Ranging (LiDAR) data have been extensively used to estimate forest biomass. Recently, there has been an increasing interest in fusing LiDAR with other data sources for directly measuring or estimating vegetation characteristics. In this study, the potential of fused LiDAR and hyperspectral data for biomass estimation was tested in the middle Heihe River Basin, northwest China. A series of LiDAR and hyperspectral metrics were calculated to obtain the optimal biomass estimation model. To assess the prediction ability of the fused data, single and fused LiDAR and hyperspectral metrics were regressed against field-observed belowground biomass (BGB), aboveground biomass (AGB) and total forest biomass (TB). The partial least squares (PLS) regression method was used to reduce the multicollinearity problem associated with the input metrics. It was found that the estimation accuracy of forest biomass was affected by LiDAR plot size, and the optimal plot size in this study had a radius of 22 m. The results showed that LiDAR data alone could estimate biomass with a relative high accuracy, and hyperspectral data had lower prediction ability for forest biomass estimation than LiDAR data. The best estimation model was using a fusion of LiDAR and hyperspectral metrics (R² = 0.785, 0.893 and 0.882 for BGB, AGB and TB, respectively, with p < 0.0001). Compared with LiDAR metrics alone, the fused LiDAR and hyperspectral data improved R² by 5.8%, 2.2% and 2.6%, decreased AIC value by 1.9%, 1.1% and 1.2%, and reduced RMSE by 8.6%, 7.9% and 8.3% for BGB, AGB and TB, respectively. These results demonstrated that biomass accuracies could be improved by the use of fused LiDAR and hyperspectral data, although the improvement was slight when compared with LiDAR data alone. This slight improvement could be attributed to the complementary information contained in LiDAR and hyperspectral data. In conclusion, fusion of LiDAR and other remotely sensed data has great potential for improving biomass estimation accuracy.     

Lake Patzcuaro,Mexico: results of a new morphometric study and its implications for productivity assessments

Data for 25 morphometrical parameters describing the geomorphology of Lake Patzcuaro, Michoacan, Mexico have been derived from an up-to-date bathymeric map with contour-lines at 1.0 m intervals. Maximum depths were observed in the northern part of the lake whereas considerable shallow areas are developing in the south. Insulosity is continuously modified due to certain areas becoming part of the mainland and the appearance of new islands with increasing shallowness and man-made channels. The hydrographic survey was evaluated using the optimization model suggested by Hakanson (1978). An information value of 0.788 for 12 contour lines in the new bathymetric map is reported. The usefulness of accurate morphometrical data in process-orientated modelling for lake management is discussed.     

Substrate influences mating success and transmission of courtship vibrations for the parasitoid Cotesia marginiventris

The influences of artificial and natural rearing substrates on mating success were investigated for the parasitoid wasp Cotesia marginiventris (Cresson) (Hymenoptera: Braconidae), a candidate for augmentative biological control of various lepidopteran pests. Five rearing substrates were tested: plastic, glass, chiffon fabric, and leaves of two host plants, bean [Vigna unguiculata (L.) (Fabaceae)] and maize [Zea mays L. (Poaceae)]. Mating success was highest on chiffon, lowest on plastic and glass, and intermediate on maize and bean. The transmission characteristics of one component (buzz 1) of the courtship vibrations produced by male wing fanning were investigated using laser vibrometry. The duration of buzz 1 was longer on maize, bean, and chiffon than on plastic and glass. The fundamental frequency of buzz 1 (~300 Hz) was lowest on bean and highest on glass, and intermediate among other substrates. The relative amplitude of buzz 1 was higher on chiffon than on plastic, glass, or bean, and intermediate on maize. The relative importance of airborne sound and substrate vibration as courtship signals was also investigated with experiments that manipulated the production of courtship vibrations and the mating substrates. The amplitude of courtship vibrations on chiffon was significantly higher for winged males than for dealated males. The mating success of males was impacted by both the presence of wings and the mating substrate. These findings suggest that mating success and transmission of courtship vibrations are influenced by the rearing substrate, and that courtship vibrations are critical to mating success in C. marginiventris. Future efforts to mass rear this parasitoid and other insects should consider the potential influences of rearing substrates on mating.     

One-Year pollen and spore calendars of Saudi Arabia Al-Khobar, Abha and Hofuf

Airborne Pollen grains and Spores of three different cities viz., Al-Khobar (1987–1988), Abha (1991–1992) and Hofuf (1992–1993) in Saudi Arabia were studied using Burkard Volumetric Seven-Day Spore Trap. The data were analyzed in relation to their allergenic capability and one-year pollen and spore calendars were designed to correlate the patients’ symptoms as well as for selection of appropriate allergen extracts for diagnosis and treatment of allergic diseases. Amongst pollen group, Amaranthus viridis, Plantago spp., Chenopodium album, Ricinus communis, Rumex vesicarius, Juniperus spp., Parkinsonia aculeata, Prosopis spp., and Phoenix dactylifera were some of the frequent types. Amongst the fungal spores group Cladosporium, Smuts spores, Colored basidiospores, Alternaria, Ulocladium and Drechslera were the dominant types.     

Resource selection by an ectothermic predator in a dynamic thermal landscape

Predicting the effects of global climate change on species interactions has remained difficult because there is a spatiotemporal mismatch between regional climate models and microclimates experienced by organisms. We evaluated resource selection in a predominant ectothermic predator using a modeling approach that permitted us to assess the importance of habitat structure and local real‐time air temperatures within the same modeling framework. We radio‐tracked 53 western ratsnakes (Pantherophis obsoletus) from 2010 to 2013 in central Missouri, USA, at study sites where this species has previously been linked to prey population demographics. We used Bayesian discrete choice models within an information theoretic framework to evaluate the seasonal effects of fine‐scale vegetation structure and thermal conditions on ratsnake resource selection. Ratsnake resource selection was influenced most by canopy cover, canopy cover heterogeneity, understory cover, and air temperature heterogeneity. Ratsnakes generally preferred habitats with greater canopy heterogeneity early in the active season, and greater temperature heterogeneity later in the season. This seasonal shift potentially reflects differences in resource requirements and thermoregulation behavior. Predicted patterns of space use indicate that ratsnakes preferentially selected open habitats in spring and early summer and forest–field edges throughout the active season. Our results show that downscaled temperature models can be used to enhance our understanding of animal resource selection at scales that can be addressed by managers. We suggest that conservation of snakes or their prey in a changing climate will require consideration of fine‐scale interactions between local air temperatures and habitat structure.     

酒鬼酒酿造环境异常球菌属菌株的生物学特征及系统发育分析

研究对分离自馥郁香型白酒酒鬼酒制曲和发酵车间空气的8株异常球菌属(Deinococcus)菌株的特征及系统发育分析进行研究。采用添加体积分数10%酒鬼酒混合浸汁的营养琼脂培养基分离,挑选并纯化与异常球菌属菌株表型相似的菌株,考察其相关生理生化特征,并进行基于16S rRNA基因序列的系统发育分析。通过表型特点筛选,得到23株异常球菌属疑似菌株。系统发育分析表明,23株菌株中有8株属于异常球菌属,归属于该属的4个种(D.radiotolerans、D.daejeonensis、D.ficus和D.yunweiensis)。形态观察和生理生化实验表明,这些异常球菌属菌株在内生孢子、革兰染色、过氧化氢酶实验、生长温度范围、生长pH范围、多聚物水解等特征方面,与它们系统发育关系最为密切的典型菌株之间存在不同程度的差异。     

兰州市空气微生物群落的碳代谢特征及功能多样性研究

应用Biolog ECO技术和RDA分析研究了兰州市不同功能区,即风景区(Scenic Area,SA)、交通干线(Main Traffic Line,MTL)、公共服务区(Public Service Area,PSA)、文教区(Culture and Education Area,CEA)空气微生物群落代谢功能多样性及其与环境因子的相关性。结果表明,不同功能区的AWCD值在培养192 h后进入稳定期,对碳源总体利用能力呈现显著的区域性差异,SAPSACEA≈MTL。受环境因素影响,Mc Intosh指数差异明显,SA和PSA物种均一度较高。兰州市空气微生物相对利用率较高的碳源类型是酯类、氨基酸类及醇类,与主成分1显著相关的碳源有10种,其中氨基酸类是导致兰州市空气微生物群落代谢功能区域性差异的主要分异类型。环境因子与空气微生物群落代谢功能密切相关,温度、风速是不同功能区存在差异的主导因子。