东海哈氏仿对虾的数量分布和生长特性研究

根据1986－1990年和1997－2001年对东海26°00′－ 33°00′N,127°00′E以西海域拖虾调查资料,共测定哈氏仿对虾样品9468尾,对哈氏仿对虾的数量分布和生长特性进行研究。结果表明,东海哈氏仿对虾的平均渔获率为458.7/g•h,其中31°00′－ 33°00′N海域最高,达到990.9/g•h,高峰期出现在秋季。主要分布在20－60m水深海域,适温范围10－24℃,适盐范围30－34,为广温广盐性虾类。周年雌虾明显多于雄虾,雌雄性比为1：0.62。雌虾个体也大于雄虾,雌虾周年平均体长和平均体重分别为71.6mm,5.0g;雄虾为57.9mm,2.3g,最大值出现在5－7月,最小值出现在9－10月。繁殖期5－9月,繁殖盛期6－7月。周年出现两次快速生长期,第一次在10-12月,其相对增长率雌虾为9.3%－17.5%,雄虾为7.9%－13.9%,第二次在翌年4－7月,雌、雄虾的相对增长率分别为4.3%－13.8%和6.2%。为合理利用该资源,宜在捕捞群体平均体长、平均体重最小值出现阶段进行保护,以提高其经济效益和生态效益。     

杨亚科植物的分类与分布

杨亚科（Populoideae）植物自然分布于热带非洲和大约从北纬19°～70°度的北半球,由胡杨属（Balsamiflua）和杨属（Populus）2个属所组成。胡杨属间断分布于赤道非洲、古地中海地区和墨西哥,包含2个组（胡杨组、墨杨组）和约3个天然种。杨属分布于欧洲、亚洲、非洲（北缘）和北美洲的广大地区,包含大叶杨亚属（Subgen．Leucoides）（大叶杨组）、杨亚属（Subgen．Populus）（青杨组、黑杨组、杨组）2个亚属和约52个天然种。拟定了杨亚科属的检索表、胡杨属组和种的检索表、杨属亚属和组的检索表以及杨属中各组种的检索表。提供了一个杨树种类目录,包括它们的正名、异名、文献引注和地理分布等。     

人工红树林湿地系统净化污水研究进展

咸淡水交接处这种特殊的生境造就了红树植物“抗污”和“降污”的功能,但能否将自然红树林湿地作为污水处理场所目前仍有争议。按照构建的人工红树林湿地的类型,分为三大类：模拟潮汐湿地系统、人工红树林污水处理系统以及红树林种植-养殖生态耦合系统。第一类系统模拟了自然海滩上的潮涨潮落的情形,第二类系统与一般人工湿地相类似,而第三类系统是指在养殖塘种植红树植物以去除有机物和营养盐。不同的类型反映了该领域研究工作的不断深入,展现了红树林湿地净化污水从理论探索向实际应用不断靠近的过程。应用人工红树林湿地净化污水具有较大的可行性,前景可观。     

东北次生林主要树种比叶面积对光照强度的响应

通过测定不同光照条件下（15％透光、30％透光、60％透光、全光）东北次生林主要树种（红松、红皮云杉、胡桃楸、水曲柳和黄波罗）的比叶面积,探讨了不同树种对光照变化的响应与适应。结果表明:不同树种比叶面积存在明显的差异,尤其是常绿针叶树种与落叶树种之间差异显著（P<0.001）,指示不同功能型树种存在不同的生存策略;随着光照强度降低,所有树种比叶面积呈现增加的趋势,尤其是弱光照（15％）和低光照（30％）相对于全光和中光照（60％）差异显著（P<0.05）;不同树种比叶面积随光照强度的变化幅度明显不同,且变化最显著的光照区域也有所不同;不同年龄红松比叶面积的变化趋势一致,但变幅不同,4年生幼苗对光照响应则更为明显。本研究结果表明,所有树种均能通过改变叶形态来适应光照条件的变化,在低光条件下通过增加单位质量叶面积,提高叶片光捕获能力;但各树种对光照强度变化的不同响应则表明树种之间不同的光适应机制,这对森林生态系统内部树种的共生具有重要意义;年龄较小的幼苗对光照的强响应指示其在植物更新过程中叶片水平上生理生态学机理研究中的重要性。     

珍稀濒危植物珙桐过氧化物酶活性和丙二醛含量

采用比色法测定了不同年龄级、部位和叶位珙桐叶的过氧化物酶(POD)活性和丙二醛（MDA）含量,以探讨珙桐的生理生态适应性。结果表明：不同年龄级同一生长时期珙桐叶的POD活性和MDA含量不同,同年龄级同层的POD活性随叶位增大先升后降,MDA含量随叶位增大逐渐升高;同叶位不同层及同层不同叶位的珙桐叶的POD活性和MDA含量不同。珙桐叶POD活性和MDA含量对生长期敏感,同年龄级同叶位的珙桐叶随叶片的生长、衰老,POD活性和MDA含量逐渐升高,即珙桐叶POD活性和MDA含量受生物和非生物因子影响显著,且不同年龄级、叶位、层次存在差异。     

Seedling regeneration,environment and management in a semi‐deciduous African tropical rain forest

Questions: How is seedling regeneration of woody species of semi‐deciduous rain forests affected by (a) historical management for combinations of logging, arboricide treatment or no treatment, (b) forest community type and (c) environmental gradients of topography, light and soil nutrients? Location: Budongo Forest Reserve, Uganda. Methods: Seedling regeneration patterns of trees and shrubs in relation to environmental factors and historical management types were studied using 32 0.5‐ha plots laid out in transects along a topographic gradient. We compared seedling species diversity, composition and distribution patterns along topographic gradients and within types of historical management regimes and forest communities to test whether environmental factors contributed to differences in species composition of seedlings. Results: A total of 85 624 woody seedlings representing 237 species and 46 families were recorded in this rain forest. Cynometra alexandri C.H. Wright and Lasiodiscus mildbraedii Engl. had high seedling densities and were widely distributed throughout the plots. The most species‐rich families were Euphorbiaceae, Fabaceae, Rubiaceae, Meliaceae, Moraceae and Rutaceae. Only total seedling density was significantly different between sites with different historical management, with densities highest in logged, intermediate in logged/arboricided and lowest in the nature reserve. Forest communities differed significantly in terms of seedling diversity and density. Seedling composition differed significantly between transects and forest communities, but not between topographic positions or historical management types. Both Chao‐Jaccard and Chao‐Sørensen abundance‐based similarity estimators were relatively high in the plot, forest community and in terms of historical management levels, corroborating the lack of significant differences in species richness within these groups. The measured environmental variables explained 59.4% of variance in seedling species distributions, with the three most important being soil organic matter, total soil titanium and leaf area index (LAI). Total seedling density was positively correlated with LAI. Differences in diversity of >2.0 cm dbh plants (juveniles and adults) also explained variations in seedling species diversity. Conclusions: The seedling bank is the major route for regeneration in this semi‐deciduous tropical rain forest, with the wide distribution of many species suggesting that these species regenerate continuously. Seedling diversity, density and distribution are largely a function of adult diversity, historical management type and environmental gradients in factors such as soil nutrient content and LAI. The species richness of seedlings was higher in soils both rich in titanium and with low exchangeable cations, as well as in logged areas that were more open and had a low LAI.     

Land use improves spatial predictions of mountain plant abundance but not presence‐absence

Question: Does a land‐use variable improve spatial predictions of plant species presence‐absence and abundance models at the regional scale in a mountain landscape? Location: Western Swiss Alps. Methods: Presence‐absence generalized linear models (GLM) and abundance ordinal logistic regression models (LRM) were fitted to data on 78 mountain plant species, with topo‐climatic and/or land‐use variables available at a 25‐m resolution. The additional contribution of land use when added to topo‐climatic models was evaluated by: (1) assessing the changes in model fit and (2) predictive power, (3) partitioning the deviance respectively explained by the topo‐climatic variables and the land‐use variable through variation partitioning, and (5) comparing spatial projections. Results: Land use significantly improved the fit of presence‐absence models but not their predictive power. In contrast, land use significantly improved both the fit and predictive power of abundance models. Variation partitioning also showed that the individual contribution of land use to the deviance explained by presence‐absence models was, on average, weak for both GLM and LRM (3.7% and 4.5%, respectively), but changes in spatial projections could nevertheless be important for some species. Conclusions: In this mountain area and at our regional scale, land use is important for predicting abundance, but not presence‐absence. The importance of adding land‐use information depends on the species considered. Even without a marked effect on model fit and predictive performance, adding land use can affect spatial projections of both presence‐absence and abundance models.     

Past century changes in Araucaria angustifolia (Bertol.) Kuntze water use efficiency and growth in forest and grassland ecosystems of southern Brazil: implications for forest expansion

Araucaria angustifolia (Bertol.) Kuntze is an indigenous conifer tree restricted to the southern region of South America that plays a key role in the dynamics of regional ecosystems where forest expansion over grasslands has been observed. Here, we evaluate the changes in intrinsic water use efficiency (iWUE) and basal area increment (BAI) of this species in response to atmospheric CO₂, temperature and precipitation over the last century. Our investigation is based on tree-rings taken from trees located in forest and grassland sites in southern Brazil. Differences in carbon isotopic composition ( δ ¹³C), ¹³CO₂ discrimination (Δ¹³C) and intracellular carbon concentration ( C _i ) are also reported. Our results indicate an age effect on Δ¹³C in forest trees during the first decades of growth. This age effect is not linked to an initial BAI suppression, suggesting the previous existence of nonforested vegetation in the forest sites. After maturity all trees show similar temporal trends in carbon isotope-derived variables and increasing iWUE, however, absolute values are significantly different between forest and grassland sites. The iWUE is higher in forest trees, indicating greater water competition or nutritional availability, relative to grassland, or both. BAI is also higher in forest trees, but it is not linked with iWUE or atmospheric CO₂. Nevertheless, in both forest and grassland sites A. angustifolia has had growth limitations corresponding to low precipitation and high temperatures observed in the 1940s.     

Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach

Fire is a common disturbance in the North American boreal forest that influences ecosystem structure and function. The temporal and spatial dynamics of fire are likely to be altered as climate continues to change. In this study, we ask the question: how will area burned in boreal North America by wildfire respond to future changes in climate? To evaluate this question, we developed temporally and spatially explicit relationships between air temperature and fuel moisture codes derived from the Canadian Fire Weather Index System to estimate annual area burned at 2.5° (latitude × longitude) resolution using a Multivariate Adaptive Regression Spline (MARS) approach across Alaska and Canada. Burned area was substantially more predictable in the western portion of boreal North America than in eastern Canada. Burned area was also not very predictable in areas of substantial topographic relief and in areas along the transition between boreal forest and tundra. At the scale of Alaska and western Canada, the empirical fire models explain on the order of 82% of the variation in annual area burned for the period 1960–2002. July temperature was the most frequently occurring predictor across all models, but the fuel moisture codes for the months June through August (as a group) entered the models as the most important predictors of annual area burned. To predict changes in the temporal and spatial dynamics of fire under future climate, the empirical fire models used output from the Canadian Climate Center CGCM2 global climate model to predict annual area burned through the year 2100 across Alaska and western Canada. Relative to 1991–2000, the results suggest that average area burned per decade will double by 2041–2050 and will increase on the order of 3.5–5.5 times by the last decade of the 21st century. To improve the ability to better predict wildfire across Alaska and Canada, future research should focus on incorporating additional effects of long‐term and successional vegetation changes on area burned to account more fully for interactions among fire, climate, and vegetation dynamics.     

Change in CO2 balance under a series of forestry activities in a cool-temperate mixed forest with dense undergrowth

To evaluate the effects on CO₂ exchange of clearcutting a mixed forest and replacing it with a plantation, 4.5 years of continuous eddy covariance measurements of CO₂ fluxes and soil respiration measurements were conducted in a conifer-broadleaf mixed forest in Hokkaido, Japan. The mixed forest was a weak carbon sink (net ecosystem exchange, −44 g C m⁻² yr⁻¹), and it became a large carbon source (569 g C m⁻² yr⁻¹) after clearcutting. However, the large emission in the harvest year rapidly decreased in the following 2 years (495 and 153 g C m⁻² yr⁻¹, respectively) as the gross primary production (GPP) increased, while the total ecosystem respiration (RE) remained relatively stable. The rapid increase in GPP was attributed to an increase in biomass and photosynthetic activity of Sasa dwarf bamboo, an understory species. Soil respiration increased in the 3 years following clearcutting, in the first year mainly owing to the change in the gap ratio of the forest, and in the following years because of increased root respiration by the bamboo. The ratio of soil respiration to RE increased from 44% in the forest to nearly 100% after clearcutting, and aboveground parts of the vegetation contributed little to the RE although the respiration chamber measurements showed heterogeneous soil condition after clearcutting.