污水灌溉区土壤肥力及酶活性特征研究

通过野外调查和采样分析,研究了石家庄栾城县不同污水灌溉时间（0-52a）和不同层位（0-100cm）耕地土壤肥力及酶活性的分布特征。研究结果表明：与清灌对照点相比,污水灌溉区表层（0-20cm）土壤有机质含量、全氮含量、全磷含量、蔗糖酶活性、脲酶活性和磷酸酶活性、亚表层（20-40cm）蔗糖酶活性、磷酸酶活性和下层（40-60cm）蔗糖酶活性均相对较高,而下层有机质含量、全氮含量和底层（60-100cm）全氮含量均相对较低。4层土壤阳离子交换量和过氧化氢酶活性较对照点均无明显的变化规律。表层土壤全氮含量、蔗糖酶活性和磷酸酶活性、亚表层有机质含量、蔗糖酶活性和磷酸酶活性、下层蔗糖酶活性与污灌时间之间均存在显著相关性沪〈0．05）。上述特征反映了土壤肥力及酶活性对污灌的响应具有明显的层位效应和非同步性,而这些响应是由于污水中的营养物质输入土壤后引发微生物活性提高的“激发效应”所致。     

BTEX在河流渗滤系统中的降解行为实验模拟研究

河流渗滤是一种自然净化过程,污染河水通过该过程在河流沉积层中发生各种物理、化学和生物作用,使得污染物浓度降低,河水水质得到净化,从而达到增加地下水开采量的目的。本项研究通过淋滤实验,利用自行设计的土柱实验装置和人工配制的淋滤液,模拟了BTEX污染河水在下渗通过河流渗滤系统的过程中发生的降解行为。实验历时48 d,获得了该过程中BTEX各组分和电子受体的质量浓度变化历时曲线,得出的结论包括：污染河水中的BTEX在通过河流渗滤系统时将发生两种环境行为—吸附和降解。其中,吸附作用对于BTEX的净化效果较为有限,当吸附达到饱和之后,在存在电子受体的情况下,BTEX能够发生厌氧微生物降解,降解作用能够更有效的去除BTEX污染物。其中去除效率最高的是间二甲苯,在以NO3-为电子受体的情况下平均去除率为85.5%,在以SO42-为电子受体的情况下平均去除率为82.4%,其次是乙苯、甲苯,去除率最差的是苯,在两种电子受体的系统中平均去除率分别为68.5%和63.5%。由于吸附作用的影响,微生物降解相对于BTEX浓度变化存在一个滞后期,BTEX各组分的土壤-水吸附分配系数Kd越大,总的降解效率也就越低。通过河流渗滤系统这一自然净化过程,可以有效地去除浓度较高的BTEX混合污染,各组分平均去除效率都超过了60%,最高去除率均超过了80%。对于持续不断入渗的污染河水,当土壤吸附达到饱和、微生物活性受到抑制,去除效率会大大降低,从而使BTEX穿透河流沉积层进入含水层,对地下水产生危害。     

磷细菌筛选及其对苗期玉米生长的影响

从潮土、水稻土、砂姜黑土、石灰土上植物根际土壤和根中分离了86株磷细菌,通过NBRIP液体摇瓶培养3 d,培养液水溶磷质量浓度为4.2～387.3 mg.L^-1,水溶磷质量浓度与培养液pH呈显著负相关（r^2=0.621 6）。筛选出3株磷细菌进行玉米盆栽试验,结果表明,1株磷细菌处理的玉米干物质量和吸磷量与对照（处理4）相比无显著差异,2株磷细菌处理的玉米干物质量和吸磷量与对照相比有明显增加,干物质量增加了19.6%～37.5%,吸磷量增加了22.7%～40.2%,其中编号为HCW115解磷菌株的效果相当于施用无机磷（P）10 mg.kg^-1处理。     

镧、铈、钕对小鼠肝细胞线粒体的氧化损伤作用

轻稀土元素进入生物体后主要累积于肝脏,进入肝细胞,除蓄积在细胞核中,还存在于线粒体中。为探讨轻稀土元素对小鼠肝细胞线粒体的氧化损伤作用,选用5周龄雄性ICR小鼠分别以10、20和40mg·kg~(-1)的镧(La)、铈(Ce)和钕(Nd)灌胃,6周后测定小鼠肝细胞线粒体中超氧化物岐化酶(SOD)、过氧化氢酶(CAT)、谷胱甘肽过氧化物酶(GPx)的活性,以及谷胱甘肽(GSH)和丙二醛(MDA)的含量。结果显示,与对照组相比,La中剂量组和Ce低剂量组SOD活性显著升高,La高剂量组和Nd中、高剂量组中SOD活性显著降低(P<0.05,P<0.01);除个别剂量组外,各染毒组CAT和GPx活性与GSH含量显著降低(P<0.05,P<0.01);Nd各剂量组、La高剂量组和Ce高剂量组的MDA含量显著升高(P<0.05,P<0.01)。研究表明,La、Ce和Nd所导致的CAT和GPx活性以及GSH含量降低可能是造成肝细胞线粒体氧化损伤的主要原因。     

Whitebark pine (Pinus albicaulis) assisted migration potential: testing establishment north of the species range

The translocation of species into habitable locations outside of their current ranges, termed assisted migration, has been proposed as a means of saving vulnerable species from extinction as a result of climate change. We explore the use of this controversial technique using a threatened keystone species in western North America, whitebark pine (Pinus albicaulis), as a case study. Species distribution models predict that whitebark pine will be extirpated from most of its current range as temperatures rise over the next 70 years. However, the same models indicate that a large area within northwestern British Columbia, Canada, is climatically suitable for the species under current conditions and will remain so throughout the 21st century. To test the capacity of whitebark pine to establish relative to climatic and habitat features within its predicted climatic range, we planted seeds from seven populations in eight locations spanning from 600 km southeast to 800 km northwest of the northern boundary of the current species range. During the first three growing seasons, germination occurred in all locations. Nearly three times as many treated (induced maturation and broken dormancy) than untreated seeds germinated, and most treated seeds germinated a year earlier than the untreated seeds. Germination, survival, and growth were primarily influenced by seed mass, site climate conditions related to the duration of snow cover, and provenance temperature. Our experiment provides a preliminary test of models predicting the existence of climatically suitable whitebark pine habitat north of the current species ranges. More broadly, our techniques and results inform the development of scientific guidelines for assisting the migration of other species that are highly threatened by climate change. Applied case studies of this kind are critical for assessing the utility of species distribution models as conservation planning tools.     

Trends and causes of severity, size, and number of fires in northwestern California, USA

Research in the last several years has indicated that fire size and frequency are on the rise in western U.S. forests. Although fire size and frequency are important, they do not necessarily scale with ecosystem effects of fire, as different ecosystems have different ecological and evolutionary relationships with fire. Our study assessed trends and patterns in fire size and frequency from 1910 to 2008 (all fires > 40 ha), and the percentage of high-severity in fires from 1987 to 2008 (all fires > 400 ha) on the four national forests of northwestern California. During 1910-2008, mean and maximum fire size and total annual area burned increased, but we found no temporal trend in the percentage of high-severity fire during 1987-2008. The time series of severity data was strongly influenced by four years with region-wide lightning events that burned huge areas at primarily low-moderate severity. Regional fire rotation reached a high of 974 years in 1984 and fell to 95 years by 2008. The percentage of high-severity fire in conifer-dominated forests was generally higher in areas dominated by smaller-diameter trees than in areas with larger-diameter trees. For Douglas-fir forests, the percentage of high-severity fire did not differ significantly between areas that re-burned and areas that only burned once (10% vs. 9%) when re-burned within 30 years. Percentage of high-severity fire decreased to 5% when intervals between first and second fires were > 30 years. In contrast, in both mixed-conifer and fir/high-elevation conifer forests, the percentage of high-severity fire was less when re-burned within 30 years compared to first-time burned (12% vs. 16% for mixed conifer; 11% vs. 19% for fir/high-elevation conifer). Additionally, the percentage of high-severity fire did not differ whether the re-burn interval was less than or greater than 30 years. Years with larger fires and greatest area burned were produced by region-wide lightning events, and characterized by less winter and spring precipitation than years dominated by smaller human-ignited fires. Overall percentage of high-severity fire was generally less in years characterized by these region-wide lightning events. Our results suggest that, under certain conditions, wildfires could be more extensively used to achieve ecological and management objectives in northwestern California.     

A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models

Allometric equations allow aboveground tree biomass and carbon stock to be estimated from tree size. The allometric scaling theory suggests the existence of a universal power-law relationship between tree biomass and tree diameter with a fixed scaling exponent close to 8/3. In addition, generic empirical models, like Chave's or Brown's models, have been proposed for tropical forests in America and Asia. These generic models have been used to estimate forest biomass and carbon worldwide. However, tree allometry depends on environmental and genetic factors that vary from region to region. Consequently, theoretical models that include too few ecological explicative variables or empirical generic models that have been calibrated at particular sites are unlikely to yield accurate tree biomass estimates at other sites. In this study, we based our analysis on a destructive sample of 481 trees in Madagascar spiny dry and moist forests characterized by a high rate of endemism (> 95%). We show that, among the available generic allometric models, Chave's model including diameter, height, and wood specific gravity as explicative variables for a particular forest type (dry, moist, or wet tropical forest) was the only one that gave accurate tree biomass estimates for Madagascar (R2 > 83%, bias < 6%), with estimates comparable to those obtained with regional allometric models. When biomass allometric models are not available for a given forest site, this result shows that a simple height-diameter allometry is needed to accurately estimate biomass and carbon stock from plot inventories.     

Native ecotypic variation and the role of host identity in the spread of an invasive herbivore, Cactoblastis cactorum

Environmental niche models (ENMs) have gained enormous popularity as tools to investigate potential changes in species distributions resulting from climate change and species introductions. Despite recognition that species interactions can influence the dynamics of invasion spread, most implementations of ENMs focus on abiotic factors as the sole predictors of potential range limits. Implicit in this approach is the assumption that biotic interactions are relatively unimportant, either because of scaling issues, or because fundamental and realized niches are equivalent in a species' native range. When species are introduced into exotic landscapes, changes in biotic interactions relative to the native range can lead to occupation of different regions of niche space and apparent shifts in physiological tolerances. We use an escaped biological control organism, Cactoblastis cactorum (Berg.), to assess the role of the environmental envelope as compared with patterns of host-herbivore associations based on collections made in the native range. Because all nonnative populations are derived from a single C. cactorum ecotype, we hypothesize that biotic interactions associated with this ecotype are driving the species' invasion dynamics. Environmental niche models constructed from known native populations perform poorly in predicting nonnative distributions of this species, except where there is an overlap in niche space. In contrast, genetic isolation in the native range is concordant with the observed pattern of host use, and strong host association has been noted in nonnative landscapes. Our results support the hypothesis that the apparent shift in niche space from the native to the exotic ranges results from a shift in biotic interactions, and demonstrate the importance of considering biotic interactions in assessing the risk of future spread for species whose native range is highly constrained by biotic interactions.     

Acoustically detected year-round presence of right whales in an urbanized migration corridor

Species' conservation relies on understanding their seasonal habitats and migration routes. North Atlantic right whales (Eubalaena glacialis), listed as endangered under the U.S. Endangered Species Act, migrate from the southeastern U.S. coast to Cape Cod Bay, Massachusetts, a federally designated critical habitat, from February through May to feed. The whales then continue north across the Gulf of Maine to northern waters (e.g., Bay of Fundy). To enter Cape Cod Bay, right whales must traverse an area of dense shipping and fishing activity in Massachusetts Bay, where there are no mandatory regulations for the protection of right whales or management of their habitat. We used passive acoustic recordings of right whales collected in Massachusetts Bay from May 2007 through October 2010 to determine the annual spatial and temporal distribution of the whales and their calling activity. We detected right whales in the bay throughout the year, in contrast to results from visual surveys. Right whales were detected on at least 24% of days in each month, with the exception of June 2007, in which there were no detections. Averaged over all years, right whale calls were most abundant from February through May. During this period, calls were most frequent between 17:00 and 20:00 local time; no diel pattern was apparent in other months. The spatial distribution of the approximate locations of calling whales suggests they may use Massachusetts Bay as a conduit to Cape Cod Bay in the spring and as they move between the Gulf of Maine and waters to the south in September through December. Although it is unclear how dependent right whales are on the bay, the discovery of their widespread presence in Massachusetts Bay throughout the year suggests this region may need to be managed to reduce the probability of collisions with ships and entanglement in fishing gear.     

渤海典型海域表层沉积物正构烷烃特征比较

对渤海典型海域表层沉积物正构烷烃特征进行比较研究.分别采集葫芦岛市近岸海域(1#)、东营市近岸海域(2#)、营口市近岸海域(3#)9个站点的表层沉积物样品,经索氏提取、柱净化后进行GC-MS分析.结果表明,各站位都表现为双峰型,显示了陆源与海源双重贡献特征,但主导峰各不相同;正构烷烃含量(∑n-alk)均值分别为5.43μg.g-1、2.27μg.g-1、4.30μg.g-1;三海域碳优势指数CPI、奇偶优势指数OEP、姥鲛烷和植烷比值Pr/Ph等特征比值基本相同,指示混合来源及中性偏氧化的沉积环境;C31/C19均值分别为11.19、4.51、6.73,短/长链比值L/H均值分别为0.50、1.48、1.31,类脂物比值TAR均值分别为3.61、1.03、1.19,综合显示葫芦岛市近岸海域正构烷烃来源主要为陆源高等植物,而营口及东营近岸海域沉积物正构烷烃更多来源于内生浮游生物源及石油源,三海域沉积物受人类污染影响程度从高到低分别为2#海域(东营)>3#海域(营口)>1#海域(葫芦岛市),且东营近岸海域沉积物受石油污染特征明显.这些特征都与3个海域周边城市发展与污染输入特征有直接的关系.