神农架川金丝猴栖息地植物区系特征及食物资源研究

2008年春季我国南方特大冰雪灾害,给受灾林区的森林生态系统及野生动物造成了巨大影响。神农架是川金丝猴分布的最东端,也是重灾区之一。该文基于灾前两年的实地调查资料,对神农架川金丝猴栖息地植物区系进行分析,以期为灾后生物多样性的检测评估及川金丝猴栖息地恢复建设提供依据。实地调查发现,川金丝猴栖息地内木本植物共有255种,隶属44科105属,其中乔木23科51属129种,灌木22科49属113种,木质藤本7科9属13种;据统计在栖息地内共有31科58属85种川金丝猴的食源植物。该区植物区系中温带分布性质的属占优势,有58个,占属数的56.30%;热带分布性质的属有22个,东亚和中国特有分布成分共有23个属,分别占属数的21.36%和22.33%;显示了该区地处亚热带与温带的过度性质。还统计了栖息地食源植物区系谱,分析了该区域食源植物特点。     

塔里木盆地荒漠盐碱生境嗜盐碱细菌的初步研究

为了探索塔里木盆地荒漠盐碱生境嗜（耐）盐碱细菌的分离方法,采用纯培养技术探讨了不同土壤预处理方法、盐度及不同分离培养基对不同盐度土壤中嗜（耐）盐碱细菌分离效果的影响。结果表明：高盐土壤嗜（耐）盐碱细菌的多样性高于中度盐分和低度盐分的土壤,而总菌落数则相反;半量的Horikoshi I（NaCl 10％～15％）为3种土样最佳的分离培养基,碱性复合培养基和高盐碱培养基A次之;分离嗜（耐）盐碱细菌以获得资源为主要目的时,富集培养法最佳。以反映土壤嗜（耐）盐碱细菌生态分布而言,用土壤悬液法;塔里木盆地嗜（耐）盐碱细菌生长盐浓度及pH值范围较宽,最适生长盐浓度为10％左右,pH值多为8—10左右。分离到的120株嗜（耐）盐碱细菌中,有33株为嗜盐碱细菌,占分离菌株的27．5％。     

中国苜蓿植物资源概述

综述了中国苜蓿属植物资源、品种资源及利用概况,并对苜蓿植物资源的进一步利用前景进行了探讨。     

白藜芦醇植物资源及其生产

白藜芦醇广泛存在于多种植物中,具有抗肿瘤、抗病毒等重要生物活性。综述了白藜芦醇在植物中的分布及其生产,特别是生物技术在生产中的应用,为白藜芦醇在药品和功能食物方面的进一步开发提供参考。     

山西省羊肚菌资源调查

山西省是一个山区面积占总面积80％的内陆省份,纬度由34°36′到40°44′,森林茂盛,植被覆盖率高,生态类型多样,大小河流众多,生物群落稳定,物种类型多样。其独特的气候特点造就了丰富的真菌生物资源,尤其为羊肚菌的发生提供了优越的生态条件。从1990年开始,我们对山西省羊肚菌资源进行了百余人次的野外实地考察,采集标本50余种,拍摄照片100余张,初步了解了山西省羊肚菌的生态分布和习性,为山西省羊肚菌的开发利用和资源保护提供了依据。     

The shadow of forgotten ancestors differently constrains the fate of Alligatoroidea and Crocodyloidea

Aim We tested the hypothesis that the evolutionary fates of two sister groups (Alligatoroidea and Crocodyloidea) are differently constrained by phylogenetic and ecological (functional) factors in the face of climatic change. Location Global. Methods We quantified disparity in skull rostrum shape by means of geometric morphometrics. Mechanical performance of the rostrum was analyzed by applying beam theory calculations to morphological data and experimentally measured bite force. The phylogeny was expressed in the form of principal coordinates, the first ones of which were used as a set of explanatory variables. Extents of species occurrence were computed using species distribution maps. Finally, species maximum skull size were measured and considered as a proxy of maximum body size. We performed variation partitioning analyses in order to compare differential contributions of phylogenetic and ecological factors in Alligatoroidea and Crocodyloidea. Results Alligatoroidea show higher ‘pure’ historical components than Crocodyloidea in explaining both rostrum shape and extent of occurrence (after controlling for body size). On the contrary, geometric variation of skull rostra of Crocodyloidea unequivocally shows a higher ‘pure’ functional component (linked to performance on prey capture) and a higher phylogenetically structured environmental variation than those found in Alligatoroidea. Results obtained for body size variation are consistent with these patterns. In Alligatoroidea, body size variation contains a higher phylogenetic signal than in Crocodyloidea. Main Conclusions Our results suggest that Crocodyloidea and Alligatoroidea may react differently when faced with significant environmental changes. We predict that global climatic changes will have a more important effect on Crocodyloidea than in Alligatoroidea by (1) promoting trait shift, adaptation to the new diet and speciation and (2) modifying the geographical range distribution of species (which may track favourable ecological conditions).     

Regional analysis of the impacts of climate change on cheatgrass invasion shows potential risk and opportunity

Interactions between climate change and non-native invasive species may combine to increase invasion risk to native ecosystems. Changing climate creates risk as new terrain becomes climatically suitable for invasion. However, climate change may also create opportunities for ecosystem restoration on invaded lands that become climatically unsuitable for invasive species. Here, I develop a bioclimatic envelope model for cheatgrass ( Bromus tectorum ), a non-native invasive grass in the western US, based on its invaded distribution. The bioclimatic envelope model is based on the Mahalanobis distance using the climate variables that best constrain the species' distribution. Of the precipitation and temperature variables measured, the best predictors of cheatgrass are summer, annual, and spring precipitation, followed by winter temperature. I perform a sensitivity analysis on potential cheatgrass distributions using the projections of 10 commonly used atmosphere–ocean general circulation models (AOGCMs) for 2100. The AOGCM projections for precipitation vary considerably, increasing uncertainty in the assessment of invasion risk. Decreased precipitation, particularly in the summer, causes an expansion of suitable land area by up to 45%, elevating invasion risk in parts of Montana, Wyoming, Utah, and Colorado. Conversely, increased precipitation reduces habitat by as much as 70%, decreasing invasion risk. The strong influence of precipitation conditions on this species' distribution suggests that relying on temperature change alone to project future change in plant distributions may be inadequate. A sensitivity analysis provides a framework for identifying key climate variables that may limit invasion, and for assessing invasion risk and restoration opportunities with climate change.     

Uncertainties in the response of a forest landscape to global climatic change

Many studies have been conducted to quantify the possible ecosystem/landscape response to the anticipated global warming. However, there is a large amount of uncertainty in the future climate predictions used for these studies. Specifically, the climate predictions can be very different based on a variety of global climate models and alternative greenhouse emission scenarios. In this study, we coupled a forest landscape model, LANDIS-II, and a forest process model, PnET-II, to examine the uncertainty (that results from the uncertainty in the future climate predictions) in the forest-type composition prediction for a transitional forest landscape [the Boundary Water Canoe Area]. Using an improved global-sensitivity analysis technique [Fourier amplitude sensitivity test], we also quantified the amount of uncertainty in the forest-type composition prediction contributed by different climate variables including temperature, CO₂, precipitation and photosynthetic active radiation (PAR). The forest landscape response was simulated for the period 2000–2400 ad based on the differential responses of 13 tree species under an ensemble of 27 possible climate prediction profiles (monthly time series of climate variables). Our simulations indicate that the uncertainty in the forest-type composition becomes very high after 2200 ad , which is close to the time when the current forests are largely removed by windthrow disturbances and natural mortality. The most important source of uncertainty in the forest-type composition prediction is from the uncertainty in temperature predictions. The second most important source is PAR, the third is CO₂ and the least important is precipitation. Our results also show that if the optimum photosynthetic temperature rises due to CO₂ enrichment, the forest landscape response to climatic change measured by forest-type composition may be substantially reduced.     

长江中游鱼类资源量的估算

为了解长江中游的鱼类资源现状,于2018年5和6月以及9和10月在宜昌、石首、洪湖、武汉和湖口5个江段进行了渔获物调查工作。通过统计各江段的渔业捕捞情况,计算年捕捞量。用体长股分析方法,对铜鱼(Coreius heterodon)、鳊(Parabramis pekinensis)和瓦氏黄颡鱼(Tachysurus vachelli)的资源量进行估算,并以此推算各江段的鱼类总资源量。结果显示,宜昌江段的鱼类年总资源量1077.36 t,其中,铜鱼为623.25 t;石首江段的年总资源量为2190.74 t,铜鱼为698.19 t;洪湖江段的鱼类年总资源量为58.57 t,其中,瓦氏黄颡鱼为0.41 t;武汉江段的鱼类年总资源量1010.54 t,其中,鳊为148.65 t;湖口江段的年鱼类总资源量14.55 t,瓦氏黄颡鱼为0.032 t。估算结果可以为长江中游鱼类资源保护措施的制定提供数据参考。