Arkadolith土壤改良剂对内蒙沙区常见牧草生长状况的影响

通过盆栽试验,对土壤采用添加25%土壤改良剂、以及添加12.5%改良剂和12.5%腐殖质的2种处理方式,研究Arkadolith土壤改良剂对冰草（Agropyron desertorum）、沙打旺（Astragalus huangheensis）和准格尔苜蓿（Medicago sativa cv ＂Zhonggeer＂）3种沙生牧草的生长特性的影响。结果表明,3种牧草中,植株高度、生长力、发芽力以及产量都较土壤改良前有所增强,沙打旺和准格尔苜蓿的生长状况要明显好于冰草。含有多种矿物成分的Arkadolith土壤改良剂不仅可以改良贫瘠土壤,提高土壤肥力,促进牧草的增产,而且还可以减少化学肥料的施用,降低成本,做到绿色环保,因此其具有广泛的推广意义。     

伏牛山阻隔作用下水热因子、土地覆被与NPP的时空特征

作为秦岭山脉的东延余脉,伏牛山山地效应研究意义重大。文章基于ArcGIS9.3空间分析功能,对伏牛山南北两侧的水热因子、土地覆被和净初级生产力时空格局变化进行了对比分析,结果表明：北坡极端低温和均温明显低于南坡（-2.88℃和-1.7℃）、极端高温明显高于南坡（+1.35℃）,而年降水量北坡则比南坡低14.41%;伏牛山北坡部分常绿针叶林转换为落叶阔叶林,2001—2004年间的落叶阔叶林面积比重分别为：52.4%、55.2%、63.0%和70.9%;2001—2004年间的净初级生产力有增大趋势,尤其是东部区域。研究结论丰富了秦岭-伏牛山作为主要气候区和生态区分界线的理论依据,同时也丰富了山地生态学理论。     

杜仲叶.粉对肉鸡生产性能及血液生化指标的影响

为探明杜仲叶粉对肉鸡生产性能及血液生化指标的影响，按0．5％、1％、1．5％、2％的比例在肉鸡的基础日粮中添加杜仲叶粉，以不添加杜仲叶粉作为对照，经60天饲养试验期后，对各组鸡的日增重、饲料报酬(增重与耗料之比)、胴体品质及血液生化指标进行检测，结果表明：杜仲叶粉能提高肉鸡饲料报酬，改善胴体品质，改善血液生化指标．     

The influence of potential reproductive rate and variation in mate quality on male and female choosiness in the sand goby, Pomatoschistus minutus

Recent models of choosiness in mate choice have identified two particularly important factors: the potential reproductive rate (PRR) of the choosing sex relative to that of the chosen sex, and the variation in quality of potential mates. This experimental study tested how these factors affected choosiness in male and female sand gobies, Pomatoschistus minutus. We manipulated relative PRR by means of water temperature, and mate quality by means of body length. The choosing male or female was offered a choice between two mates with either a small or a large difference in body length representing a small or a large variation in mate quality. Choosiness was measured as (1) preference for the larger mate, and (2) as whether or not spawning occurred with the smaller mate, while the larger mate was visible but screened off. We found that females preferred large males, and that their level of choosiness was affected by variation in male quality, but not by their own relative PRR. Males, on the other hand, seemed unselective in all treatments and were in general more likely than females to spawn with their provided partner. This suggests that in the sand goby, variation in male mate quality has a greater influence than relative PRR on facultative changes in female choosiness. However, a general difference in PRR between males and females may be one important factor explaining the observed sex difference in choosiness. Received: 17 April 2000 / Revised: 24 June 2000 / Accepted: 17 July 2000     

GIS与层次分析法相结合的生态环境综合评价研究——以渝西地区为例

将GIS与层次分析法相结合应用于渝西地区生态环境质量综合评价。首先,根据渝西地区生态环境的基本特点确定生态环境质量综合评价的指标体系和基本评价单元,通过层次分析法,确定各评价指标的权重,计算出每个评价单元的生态环境质量综合指数和分指数;然后运用GIS技术,根据每个评价单元的质量指数和分指数,自动生成渝西地区生态环境综合评价等级图;在此基础上,对渝西地区生态环境整体及各不同侧面质量状况的空间分异规律进行分析和研究。结果显示,渝西区生态环境质量基本上由南向北逐渐降低,与自然环境状况的空间格局大体吻合,但局部地区有差异。表明自然条件对渝西地区生态环境质量的空间分异起决定性作用,但社会经济和环境污染等因素同样对生态环境具有重要影响,在某些情况下,甚至可以成为决定因素,并在一定程度上改变生态环境的空间格局。     

镉、汞、铅和石油烃复合污染对渤海湾常见渔业资源生物的影响初探(Effects of the Combined Pollution of Cd, Hg, Pb and Petroleum Hydrocarbons on Common Fishery Species in the Bohai Bay)

通过对1996～2005年渤海湾近岸海域海水镉、汞、铅和石油烃浓度变化的分析,发现海水中镉浓度呈明显上升趋势,汞、铅和石油烃则无明显变化趋势.加速生命试验法模型(Accelerated Life Testing model)的研究显示,1996～2005年渤海湾近岸海域海水镉、汞和铅平均浓度均已超过其对渤海湾常见渔业资源生物的安全浓度.镉、汞、铅和石油烃对生物的长期致死率鱼类分别为4.5%、16.3%、0.0%和12.0%,甲壳类为0.4%、7.9%、0.3%和6.6%,双壳类为10.5%、0.2%、0.2%和2.3%.效应加和模型(Independence Action model)的估算表明,在镉、汞、铅和石油烃组成的复合污染条件下,渤海湾常见鱼类、甲壳类和双壳类的长期死亡率分别为29.7%、14.6%和12.9%,其种群增长率分别降低约6.4%、14.6%和12.9%.与镉、汞、铅和石油烃单种污染物暴露相比,其复合污染导致的渤海湾常见渔业资源生物种群(鱼类、甲壳类和双壳类)增长率的降低更明显.因此,复合污染是导致渤海湾渔业资源衰退的重要因素。     

Using experimental reintroductions to resolve the roles of habitat quality and metapopulation dynamics on patch occupancy in fragmented landscapes

Declines of species in fragmented landscapes can potentially be reversed either by restoring connectivity or restoring local habitat quality. Models fitted to snapshot occupancy data can be used to predict the effectiveness of these actions. However, such inferences can be misleading if the reliability of the habitat and landscape metrics used is unknown. The only way to unambiguously resolve the roles of habitat quality and metapopulation dynamics is to conduct experimental reintroductions to unoccupied patches so that habitat quality can be measured directly from data on vital rates. We, therefore, conducted a 15-year study that involved reintroducing a threatened New Zealand bird to unoccupied forest fragments to obtain reliable data on their habitat quality and reassess initial inferences made by modeling occupancy against habitat and landscape metrics. Although reproductive rates were similar among fragments, subtle differences in adult survival rates resulted in λ (finite rate of increase) estimations of <0.9 for 9 of the 12 fragments that were previously unoccupied. This was the case for only 1 of 14 naturally occupied fragments. This variation in λ largely explained the original occupancy pattern, reversing our original conclusion from occupancy modeling that this occupancy pattern was isolation driven and suggesting that it would be detrimental to increase connectivity without improving local habitat quality. These results illustrate that inferences from snapshot occupancy should be treated with caution and subjected to testing through experimental reintroductions in selected model systems.     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.