近30年来黄河三角洲植被净初级生产力时空特征及主要影响因素

我国拥有丰富的海岸带蓝色碳汇,准确把握海岸带蓝碳生态系统净初级生产力(NPP)状况,辨识不同人为干扰下蓝碳生态系统NPP的时空分布特征具有重要意义。以黄河三角洲为研究区,以近30a(1987年、1995年、2005年、2016—2017年)为时间尺度,通过遥感手段和现场调查,对黄河三角洲NPP时空变化特征及其主要影响因素进行研究。结果显示:(1)近30年来研究区NPP均值和总量呈现先下降又略微增长的特征,2016—2017年度NPP平均值为294.38g C m~(-2)a~(-1),总量为710.05Gg C/a,表现出显著的季节差异。(2)研究区NPP在各行政区、保护区和地表覆盖类型中均表现出了明显的空间分异性;2016—2017年度NPP分区结果显示,不同分区面积由大到小依次为中生产力区(49.5%)、低生产力区(38.3%)和高生产力区(12.1%)。(3)研究区NPP的时空分异性是地表覆盖类型和植被生长状况共同影响的结果,海陆交互作用、开发利用活动和近年来的生态建设是NPP时空变化的主要影响因素。(4)湿地植被和农田是研究区碳汇的主要贡献者,20世纪90年代以来二者NPP均值逐渐上升,在2016—2016年度分别达570.28g C m~(-2)a~(-1)和335.92g C m~(-2)a~(-1);近30年来,湿地植被NPP总量逐渐减少,农田NPP总量则逐渐增加。湿地植被是海岸带蓝碳的典型载体,农田作为位于滨海地区、由湿地植被转化而来、本身具有较高固碳能力和潜力的碳汇类型,可作为海岸带蓝碳的重要补充。     

一些海洋浮游植物量子产值的研究

现场实验以及用硅藻、金藻和绿藻所做的实验表明,在光饱和深度以下,随着深度的增加,浮游植物的量子产懂具有不变、增加和下降3种垂直变化趋势。偏离理论模式的后两种结果可能是由浮游植物的光强适应(Light-shade adaptation)等原因引起。还探讨了量子产值作为初级生产力模型和光利用效率模型中的参数的问题。     

抗FLAG标签抗体在植物中的高效表达

植物生物反应器是一种新兴的重组蛋白表达系统,是分子农业的核心内容之一。本研究在本氏烟草(Nicotiana benthamiana)中表达了抗八肽(DYKDDDDK, FLAG)标签抗体,并对其进行纯化与鉴定。通过多次免疫小鼠获得高效价抗FLAG抗体并测出其编码序列,然后亚克隆至植物DNA病毒表达载体,最后通过农杆菌介导转染烟草叶片。经Western blotting检测了转染后2−9 d抗体的表达情况：3 d后FLAG抗体开始在烟草叶片中表达,5 d后表达量达到峰值,每千克鲜叶估计可表达66 mg FLAG抗体。抗体经过分离纯化后浓缩为1 mg/mL,按1:10 000稀释仍可识别1 ng/mL的抗原,表明植物生产的FLAG抗体具有高亲和力。植物生物反应器可用于生产高亲和力抗体,并具有简易、成本低和生产周期短等特点,具有很高的应用价值。     

Does directed technological change get greener: Empirical evidence from Shanghai's industrial green development transformation

The degree of technological change biased to the environmental factor is crucial to industrial sustainable development. Using the stochastic frontier analysis method based on the translog production function and the panel data of 32 industrial sub-sectors in Shanghai over 1994–2011, this paper combines the evolution dynamic of the frontier technological structure with the evolution dynamic of technological change direction to estimate the output elasticities of production factors and the growth rate of green total factor productivity. Also, we investigate and compare the degrees of technological change biased to four production factors, i.e., capital, labor, energy, and carbon emissions. The results show that the industrial green total factor productivity in Shanghai presents an overall upward trend and mainly depends on the technical efficiency change. The improvements of labor productivity, R&D intensity, and energy efficiency can effectively enhance the green technical efficiency, while capital deepening has a mitigation effect on the green technical efficiency. The technological change of Shanghai's industrial production biases to energy use and capital saving, causing a high energy demand of industrial development. Under the dual impacts of economic development and energy-saving and emission-reduction policies, the degree of technological change biased to the environmental factor (carbon emissions) displays strong and weak alternations, indicating that the green bias of industrial technological change in Shanghai is not stable and that the green transformation of industrial development model needs to be further advanced.     

A twofold role for global energy gradients in marine biodiversity trends

Explanations for major biodiversity patterns have not achieved a consensus, even for the latitudinal diversity gradient (LDG), but most relate to patterns of solar energy influx into Earth systems, and its effects on temperature (as biochemical activity rates are temperature sensitive) and photosynthesis (which drives nearly all of the productivity that fuels ecosystems). Marine systems break some of the confounding correlations among temperature, latitude and biodiversity that typify the terrestrial systems that have dominated theoretical discussions and large‐scale analyses. High marine diversities occur not only in warm shallow seas where productivity may be either low or high, depending on regional features, but also in very cold deep‐sea regions, indicating that diversity is promoted by stability in temperature and in trophic resources (nutrients and food items), and more specifically by their interaction, rather than by high mean values of either variable. The common association of high diversity with stable but low to moderate annual productivity suggests that ecological specialization underlies the similarly high diversities in the shallow tropics and deep sea. Recent work on shallow‐marine bivalves is consistent with this view of decreasing specialization in less stable habitats. Lower diversities in shallow seas are associated with either high thermal seasonality (chiefly in temperate latitudes) or highly seasonal trophic supplies (at any latitude), which exclude species that are adapted to narrow ranges of those variables.     

川西盆周丘陵地区油菜作物生态效应的初步探讨

名山县位于东经103°08′,北纬30°06′,是四川省商品粮油基地县之一,属川西盆周丘陵地区。年平均气温15.5℃,日照1052.0小时,降雨量1519.9mm,一年两熟,能满足油菜全生育期的需要。全县油菜发展较快,1989年较1983年种植面积扩大了33.91%,达到6000ha;总产增加30.35%,达到5958.1t。     

Coupling of Fermentation and Esterification: Microbial Esterification of Decanoic Acid with Ethanol Produced via Fermentation

Two different kinds of bioprocess, ethanol fermentation and subsequent microbial esterification, were coupled using Issatchenkia terricola IFO 0933 in an interface bioreactor. The strain produced ethyl decanoate (Et-DA) by esterification of exogenous decanoic acid (DA) with ethanol produced via fermentation. The efficiency of the new coupling system depended on the concentration of glucose in a carrier and DA in an organic phase (decane) in an agar plate interface bioreactor. Optimum glucose content and DA concentration were 4% and 29 mM, respectively.     

Leaf size of woody dicots predicts ecosystem primary productivity

A key challenge in ecology is to understand the relationships between organismal traits and ecosystem processes. Here, with a novel dataset of leaf length and width for 10 480 woody dicots in China and 2374 in North America, we show that the variation in community mean leaf size is highly correlated with the variation in climate and ecosystem primary productivity, independent of plant life form. These relationships likely reflect how natural selection modifies leaf size across varying climates in conjunction with how climate influences canopy total leaf area. We find that the leaf size?primary productivity functions based on the Chinese dataset can predict productivity in North America and vice‐versa. In addition to advancing understanding of the relationship between a climate‐driven trait and ecosystem functioning, our findings suggest that leaf size can also be a promising tool in palaeoecology for scaling from fossil leaves to palaeo‐primary productivity of woody ecosystems.     

Increased high‐latitude photosynthetic carbon gain offset by respiration carbon loss during an anomalous warm winter to spring transition

Arctic and boreal ecosystems play an important role in the global carbon (C) budget, and whether they act as a future net C sink or source depends on climate and environmental change. Here, we used complementary in situ measurements, model simulations, and satellite observations to investigate the net carbon dioxide (CO₂) seasonal cycle and its climatic and environmental controls across Alaska and northwestern Canada during the anomalously warm winter to spring conditions of 2015 and 2016 (relative to 2010–2014). In the warm spring, we found that photosynthesis was enhanced more than respiration, leading to greater CO₂ uptake. However, photosynthetic enhancement from spring warming was partially offset by greater ecosystem respiration during the preceding anomalously warm winter, resulting in nearly neutral effects on the annual net CO₂ balance. Eddy covariance CO₂ flux measurements showed that air temperature has a primary influence on net CO₂ exchange in winter and spring, while soil moisture has a primary control on net CO₂ exchange in the fall. The net CO₂ exchange was generally more moisture limited in the boreal region than in the Arctic tundra. Our analysis indicates complex seasonal interactions of underlying C cycle processes in response to changing climate and hydrology that may not manifest in changes in net annual CO₂ exchange. Therefore, a better understanding of the seasonal response of C cycle processes may provide important insights for predicting future carbon–climate feedbacks and their consequences on atmospheric CO₂ dynamics in the northern high latitudes.