Study on the formation and transport of ozone in relation to the air quality management and vegetation protection in Tenerife (Canary Islands)

An experimental study on the formation and transport of ozone in ambient air was performed in Tenerife (Canary Islands) in order to investigate the processes affecting ozone levels and air quality. The special features of Tenerife (prevalence of the trade wind pattern (NE), orography and the specific location of the local ozone sources) permit to quantify the role of the ‘long-range transport from northern latitudes' versus the ‘formation and transport of ozone downwind of the main urban areas' of Tenerife. Levels of O₃, NO₂ and O_X were monitored in different types of environments to achieve this purpose. The results showed that: (1) upwind of the urban areas ozone is mainly transported from the ocean by trade winds, (2) local ozone titration (by NO) and ozone replenishment from the ocean are the main causes of ozone variations in urban and suburban areas, and (3) photochemical ozone production occurs downwind of the urban areas. Photochemical production causes daylight O₃ and O_X levels downwind of urban areas to be frequently (60% and 35% days/year, respectively) higher than upwind of the urban sites (O₃ and O_X excess frequently in the range 5–20 ppbv). Due to the above processes, different daily ozone cycles occur in short distances (<30 km), with maximum O₃ levels during daylight or night depending on the site. Ozone phytotoxicity was assessed by calculating the AOT40 index upwind and downwind of the main urban areas. The critical value for the 5-day-AOT40 index was simultaneously exceeded at the two sites (few times/year) during long-range transport events. During the additional exceedances of the critical value downwind of the urban area, relatively high 5-day-AOT40 values were recorded upwind of the urban site. Thus, long-range transport from northern latitudes may produce relatively high 5-days-AOT40 levels in the oceanic boundary layer. These results are important for the protection of the large number of endemic plants in the Canaries. The conceptual model discussed in this study may be qualitatively applied to other islands which possess features similar to those of Tenerife.     

火炬松浆材建筑材林经营模型系统的研究

根据火炬松样地资料，建立火炬松林分生长模型、结构模型、商品材产量预估模型、营林措施(含间伐、施肥、整地、抚育等)效应模型及营林效益评估模型，构成火炬松纸浆材与建筑材林经营的模型系统，为火炬松纸浆材与建筑材林定向培育和优化决策提供了系列模型．     

Experimental assessment of sensory modalities of coral-reef fish larvae in the recognition of their settlement habitat

One of the great mysteries of coral-reef fish ecology is how larvae locate the relatively rare patches of coral-reef habitat on which they settle. The present study aimed to estimate, by experiments in aquaria, the sensory modalities of coral-reef fish larvae for senses used in searching for their species settlement habitat. Larval recognition of settlement habitat can be based on the detection of conspecifics and/or of characteristics of coral habitat using visual, chemical and mechanical cues. For this study, larvae were captured with crest nets and were then introduced into experimental tanks that allowed testing of each type of cue separately (visual, chemical or mechanical cues). Among the 18 species studied, 13 chose their settlement habitat due to the presence of conspecifics and not based on the characteristics of coral habitat, and 5 species did not move toward their settlement habitat (e.g. Scorpaenodes parvipinnis, Apogon novemfasciatus). Among the different sensory cues tested, two species used the three types of cues (Parupeneus barberinus and Ctenochaetus striatus: visual, chemical and mechanical cues), six used two types (e.g. Myripristis pralinia: visual and chemical cues; Naso unicornis: visual and mechanical cues), and five used one type (e.g. Chrysiptera leucopoma: visual cues; Pomacentrus pavo: chemical cues). These results demonstrate that many coral-reef fish larvae could in practice use sensory cues for effective habitat selection at settlement, and have the ability to discriminate species-specific sensory cues.Communicated by J. Krause     

马尾松种实病虫害防治研究

湖南马尾松种实害虫有七种,松梢小巷蛾和微红班螟是主要害虫。主要危害二年生球果,被害率高达46.49-47.76％。害虫天敌有三种。种实病害主要表现在一年生幼果大量脱落,落果率达33.35-36.12％。发病原因经室内病原茵诱发试验和分离培养,尚未获得致病茵,初步诊断为一种生理病害。病虫发生高峰期均在4-6月份,此时为防治关健时期。氧化乐果等防治马尾松种实害虫效果可达70％以上。无性乐间搞虫性略有差异。九二0生长激素和钼酸钠微肥防治生理落果有较明显防治效果。     

离子强度、pH值和Ca2+/Al3+对马尾松幼苗的铝毒影响

测定了在不同溶液酸度、不同离子强度和Ca²⁺/Al³⁺比下,铝对马尾松幼苗生长状况的影响。结果表明,溶液酸度增加,离子强度减小时,铝的毒害作用增大。钙对铝毒有明显缓解作用,当Ca²⁺/Al³⁺增大时,铝的毒性减小,但其缓解作用与铝浓度有关,当铝浓度增加,钙的缓解能力下降。     

铝处理马尾松对高温、低温、干旱和SO_2的抗性研究

马尾松在不同浓度铝溶液(0、30、60、120、240、480ppm)中生长两个月后,转移至高温、低温、干旱或SO_2熏气罩中,结果发现,经过铝培养松苗的膜透性显著高于未经过铝培养松苗的膜透性,且铝浓度越大,膜透性越大,表明铝处理马尾松对高温、低温、干旱和SO_2的抵抗性降低.300ppb的SO_2熏气30h后,未经铝培养的松苗没有明显受害症状出现,而经过铝培养的松苗却表现出针叶发黄、叶缘和叶尖出现明显可见伤害斑点等SO_2受害症状,高温、低温和干旱处理的主要症状表现为针叶发黄、萎蔫。     

大连长兴岛及毗邻海域环境质量评价

根据2002年7月大连市长兴岛生态建设研究现场调查资料，探讨了长兴岛及毗邻海域水质和沉积物要素分布特征，评价了海域环境质量和营养状况。结果表明，水质和沉积物中重金属含量在近岸呈上升趋势，其中，水质Hg、Zn、Pb最高量值分别超过一类标准的0．64、0．54、0．30倍，沉积物中Cu最高量值超一类标准的0．20倍。水质营养水平指数E为0．08，NQI为1．04，cN／cP为2．50。海域环境质量总体良好，介于清洁与较清洁级之间，岛西部环境质量优于北部及南部，海域处于贫营养状态。海岛陆源污染物是影响海域环境的主要因素。     

高清质谱解析河岸带湿地溶解有机质分子组成特征及其环境意义

河岸带湿地土壤溶解有机质(Dissolved organic matter,DOM)对陆源污染物的迁移和对河流水体富营养化进程均具有重要影响.本研究以典型河口冲积岛——崇明岛河岸带湿地DOM为研究对象,采用液相四级杆飞行时间质谱(Liquid chromatography quadrupole time-of-flight mass spectrometry,LC-Q-TOF-MS)技术分析河岸带湿地土壤DOM的分子组成特征,探究河岸带湿地DOM可能的主要来源.研究结果表明:LC-QTOF-MS技术成功地解析了复杂混合物DOM的分子组成特征,其中脂类化合物是崇明岛河岸带湿地土壤DOM的主要组分,占到28.87%~43.87%,其次为蛋白类物质和羰基类化合物,分别占到总DOM的17.46%~36.54%和19.13%~31.28%,最少的是脂肪酸类、糖类和氨基酸类物质,其三者之和仅为12%左右.同时,崇明岛河岸带湿地DOM分子主要来源于河岸带湿地植物光合生产和陆上区域农业面源径流、生活污水和工业废水的排放,其空间分布受小流域土地利用类型影响.研究结果为复杂混合物的分子组成解析和河岸带湿地管理提供一种新思路.     

Highly time-resolved aerosol characteristics during springtime in Weizhou Island

A single particle aerosol mass spectrometer was deployed to measure the changes of single particle species and sizes during March 2015 in Weizhou Island of the Beibu Gulf, Guangxi province, South China. In this campaign, a total of 3,100,597 particles were sized, and 25.8%particles with both positive and negative mass spectrum were collected and 24.8%characterized in combination with the ART-2 a neural network algorithm. The distribution of sized particles was mainly in from 520 to 600 nm, and the diameters ranging from 340 to1000 nm accounted for above 90%. Eight types of particles were classified: Elemental Carbon containing(EC), Organic Carbon containing(OC), EC and OC combined containing particles,Na containing particles, K containing particles(K), Levoglucosan containing particles,mineral containing particles, and Heavy Metal containing particles(HM). EC, OC and K were the major containing particles, which accounted for 84.3% in the eight types particles. The relative ratio and size distribution of the three types were EC(48.1%, 620 nm), OC(12.7%,440 nm), and K(23.5%, 600 nm), respectively. The three types of particles were a bit increasing ratios compared with those in clean periods during haze pollution periods.Combined with the back-trajectory results from the Hysplit-4 model and local pollution sources revealed that the ambient air quality on the Weizhou Island may be influenced by biomass burning in the Indochina Peninsula(biomass burning in the Indochina Peninsula)from the transportation on higher level atmospheric layer and by mainland of south China located northeast of Weizhou Island on the ground.     

Models to Assess the Risk of Snow and Wind Damage in Pine, Spruce, and Birch Forests in Sweden

3 are damaged annually by snow and wind, roughly corresponding to a value of US$150 million, and in Europe, the damage amounts to hundreds of millions of US dollars each year. To help to reduce these losses, tools for risk assessment within forest management have been developed. Predictions were developed of the risk of damage from snow and wind to Scots pine (Pinus sylvestris L.), Norway spruce [Picea abies (L.) Karst.] and Birch (Betula spp. L.) plots using tree, stand, and site characteristics. The data were obtained from 6756 permanent sample plots within the Swedish National Forest Inventory, which were inventoried twice at five-year intervals between 1983 and 1992. Input data for model development used measurements from the first inventory of tree characteristics for the largest sample tree, stand, and site data, and records of snow and wind damage from the second inventory. Models were developed for three different regions for pine- and spruce-dominated sites, while models for the whole country were developed for birch sites. In general the estimated proportion of damaged plots was highly overestimated (31.7%–56.2%), compared with the observed proportion of 3.4%–11.9%. The models for Norway spruce comprising tree, stand, and site data show the best predictability of damaged plots, with 60.6%–67.6% of plots correctly classified. It is concluded that the models developed can be used to detect sites with a high probability of damage from snow and wind, and thus be used as tools to reduce future damage and costs in practical forestry.