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.     

Integrating farming techniques in an ecological matrix model: Implementation on the primrose (Primula vulgaris)

Several studies have proven the importance of field margins in sustaining biodiversity and other work has been done on the effect of field management on field margin flora. However few models have been built to predict the effects of field management on the flora. Our project addresses this need for a model capable of predicting the effect of cropping techniques and their timing on the flora of field margins. Primula vulgaris is a biodiversity indicator, characteristic of undisturbed flora and found in field margins and woodlands: its population has been declining for several years. We created a temporal matrix model of P. vulgaris populations on field margins, taking into account the effects of field, field margin and roadside management based on literature and expert knowledge. We then analysed its sensitivity to demographic parameters by comparing lambda (growth rate) sensitivity and elasticity. We compared the management parameter effect using the relative growth rate of the population after 6 years of simulation. Sensitivity analysis to biological parameters showed the importance of adult survival and seed production and germination. Results show that P. vulgaris is particularly sensitive to broad-spectrum herbicides and that other management techniques like early mowing, scything and scrub-killer (diluted broad-spectrum herbicide or specific herbicide) are less aggressive. Our simulations show that management of cash crops in Brittany is too aggressive for P. vulgaris populations and that 4-5 years of grassland in the adjacent field are necessary to maintain populations.     

Translating effects of inbreeding depression on component vital rates to overall population growth in endangered bighorn sheep

Evidence of inbreeding depression is commonly detected from the fitness traits of animals, yet its effects on population growth rates of endangered species are rarely assessed. We examined whether inbreeding depression was affecting Sierra Nevada bighorn sheep (Ovis canadensis sierrae), a subspecies listed as endangered under the U.S. Endangered Species Act. Our objectives were to characterize genetic variation in this subspecies; test whether inbreeding depression affects bighorn sheep vital rates (adult survival and female fecundity); evaluate whether inbreeding depression may limit subspecies recovery; and examine the potential for genetic management to increase population growth rates. Genetic variation in 4 populations of Sierra Nevada bighorn sheep was among the lowest reported for any wild bighorn sheep population, and our results suggest that inbreeding depression has reduced adult female fecundity. Despite this population sizes and growth rates predicted from matrix-based projection models demonstrated that inbreeding depression would not substantially inhibit the recovery of Sierra Nevada bighorn sheep populations in the next approximately 8 bighorn sheep generations (48 years). Furthermore, simulations of genetic rescue within the subspecies did not suggest that such activities would appreciably increase population sizes or growth rates during the period we modeled (10 bighorn sheep generations, 60 years). Only simulations that augmented the Mono Basin population with genetic variation from other subspecies, which is not currently a management option, predicted significant increases in population size. Although we recommend that recovery activities should minimize future losses of genetic variation, genetic effects within these endangered populations-either negative (inbreeding depression) or positive (within subspecies genetic rescue)-appear unlikely to dramatically compromise or stimulate short-term conservation efforts. The distinction between detecting the effects of inbreeding depression on a component vital rate (e.g., fecundity) and the effects of inbreeding depression on population growth underscores the importance of quantifying inbreeding costs relative to population dynamics to effectively manage endangered populations.     

盐生杜氏藻烯醇酶基因启动子的克隆分析及胁迫转录应答

为了解盐生杜氏藻(Dunaliella salina)烯醇酶(Enolase)在渗透耐受中的具体功能,利用基因组步行方法和巢式PCR,从D.salina中克隆了烯醇酶基因DsENO 5’上游约2 000 bp的调控序列,并对其进行序列分析.分析表明,它包含多个与转录调控有关的保守序列(如CAAT-box,TATA-box),富含光﹑干旱及其它胁迫应答元件.利用实时荧光定量PCR的方法,研究了高渗﹑高温以及低温外界胁迫条件下DsENO的转录情况,发现其受高渗强烈抑制,高温显著诱导而低温微弱诱导.     

铜、镉胁迫下荻种子的萌发和幼苗生长

研究了不同质量浓度Cu、Cd胁迫对荻(Triarrhena sacchariflora(Maxim.)Nakai)种子萌发及其幼苗生长的影响。结果表明:随着胁迫质量浓度的增大,Cu、Cd对荻种子萌发和幼苗生长的抑制作用增强。就发芽率来看,影响荻种子萌发的Cu的临界质量浓度和极限质量浓度分别为20.81、67.37 mg·L-1,Cd的临界质量浓度和极限质量浓度分别为16.30、42.79 mg·L-1。Cu、Cd对荻幼苗根的抑制作用大于对芽的抑制作用;芽的生长表现为低促高抑。影响荻幼苗芽生长的Cu的临界质量浓度和极限质量浓度分别为52.32、96.11 mg·L-1,Cd的临界质量浓度和极限质量浓度分别为33.55、55.88 mg·L-1;影响荻幼苗根生长的Cu的临界质量浓度和极限质量浓度分别为42.33、85.03 mg·L-1,Cd的临界质量浓度和极限质量浓度分别为26.18、50.45 mg·L-1。     

丁酸钠对肉鸭生长及粪便中污染物减排效果的影响

在樱桃谷肉鸭的基础日粮中添加丁酸钠,研究了丁酸钠对肉鸭生产性能及粪便中污染物含量和排放量的影响.结果表明,添加350、700和1 050 mg·kg-1丁酸钠处理(试验组2、3、4)料重比较对照(试验组1)均显著降低,分别降低4.95%、6.71%和4.59%(P＜0.05),0～3周试验组3和4肉鸭日增质量较对照提高9.16%和9.47%(P＜0.05);添加丁酸钠可显著降低鸭粪中TN、TP、氨氮、有机质、Cu和Zn含量(P＜0.05),试验组3对TN、TP、氨氮和Zn的降低效果最好,分别较对照组减少6.15%、17.36%、59.98%和18.96%;不同水平丁酸钠处理鸭粪中污染物排放量均较对照显著降低(P＜0.05),试验组3对污染物TN、TP、氨氮、有机质和Zn的减排效果最好,而试验组4对Cu的减排效果最佳.在肉鸭饲料中添加700 mg·kg-1丁酸钠可获得最佳的生产性能和减排效果.     

多效唑对东魁杨梅生长与结果的影响

以东魁杨梅(Myrica rubra cv.Dongkui)为受试生物,研究了中、高剂量和不同施用频率的多效唑(paclobutrazol,代号PP333)处理对果树正常生长和结果的影响.实验设4个处理,分别为无PP333施用记录、5年前施用后停用、连续5年施用300 mg·kgPP333和连续5年施用400 mg·k...     

Economic Growth and Environmental Degradation in a Global Context

The overall aim of this study is to analyse the relationship between economic growth and environmental degradation with particular reference to carbon emissions and deforestation. The analysis is based upon the Environmental Kuznets Curve (EKC) model, which posits an inverted-U relationship between incomes per capita and environmental quality. In particular, the present analysis tries to take into account the current process of globalisation with the aim of defining the impact of the progressive global economic integration on the relationship between economic growth and environmental degradation. The study confirms that there is an inverted-U relationship between income growth and carbon emissions, while the relationship results less clear in the case of forest change. The inclusion of globalisation in the analysis confirms similar results and suggests a direct link between an increase in the rate of integration with the global economy and a worsening in terms of environmental degradation.     

我国投资拉动的宏观成本分析

我国多年来坚持的是一种高投入、高消耗的投资拉动型增长模式．而高投资高增长则更多地以宏观成本积累为代价。未来投资的增速不仅取决于经济增长的预期目的．更多的取决于资金、技术、资源支撑和环境容量。通过对高投资高增长发展模式的高宏观成本分析，提出了贯彻落实科学发展观、促进经济方式转变的若干结论性建议。     

信息化与省域经济增长研究

从信息化产业水平、信息化基础设施水平和信息化综合发展水平来测算区域信息化水平，并对中国各省的信息化发展水平进行比较研究，研究显示：东部省区的信息化发展整体上处于领先位置，极化作用突出，本部各省只是在局部地区显示了信息化发展的相对领先，显示出非均衡发展的特点。中部还处于信息化发展水平较低的均衡发展阶段。基于此，本文考虑将信息化作为一种内生经济行为，研究信息化对省域经济的影响。研究显示，信息化促进了东部经济的快速增长，对长江三角洲、珠江三角洲和环渤海地区的经济贡献尤为突出。在西部地区，信息化设施对地理位置偏远的省区较工业基础相对优越省区的经济增长作用突出。即信息化是改善地理位置边远地区经济发展条件的重要手段。同时信息化对中部地区经济提出严重挑战。却在西部地区普遍呈现出强劲的增长带动作用，也就是说信息产业对实现落后地区的跨越式发展是有根据的。