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.     

不同轮作模式对潮土团聚体及其有机碳分布的影响

为揭示不同轮作模式下潮土土壤团聚体及其有机碳含量变化规律,于2018-2019年在山西大同进行了田间试验.设置处理为油菜—荞麦(RB)、玉米—荞麦(CB)、马铃薯—荞麦(PB)和燕麦—荞麦(OB)4种轮作模式,荞麦—荞麦(BB)连作和休闲—休闲(FF)为对照,测量指标为土壤团聚体组成、稳定性和团聚体内有机碳分布.结果显...     

Bridging gaps in demographic analysis with phylogenetic imputation

Phylogenetically informed imputation methods have rarely been applied to estimate missing values in demographic data but may be a powerful tool for reconstructing vital rates of survival, maturation, and fecundity for species of conservation concern. Imputed vital rates could be used to parameterize demographic models to explore how populations respond when vital rates are perturbed. We used standardized vital rate estimates for 50 bird species to assess the use of phylogenetic imputation to fill gaps in demographic data. We calculated imputation accuracy for vital rates of focal species excluded from the data set either singly or in combination and with and without phylogeny, body mass, and life-history trait data. We used imputed vital rates to calculate demographic metrics, including generation time, to validate the use of imputation in demographic analyses. Covariance among vital rates and other trait data provided a strong basis to guide imputation of missing vital rates in birds, even in the absence of phylogenetic information. Mean NRMSE for null and phylogenetic models differed by <0.01 except when no vital rates were available or for vital rates with high phylogenetic signal (Pagel's λ > 0.8). In these cases, including body mass and life-history trait data compensated for lack of phylogenetic information: mean normalized root mean square error (NRMSE) for null and phylogenetic models differed by <0.01 for adult survival and <0.04 for maturation rate. Estimates of demographic metrics were sensitive to the accuracy of imputed vital rates. For example, mean error in generation time doubled in response to inaccurate estimates of maturation time. Accurate demographic data and metrics, such as generation time, are needed to inform conservation planning processes, for example through International Union for Conservation of Nature Red List assessments and population viability analysis. Imputed vital rates could be useful in this context but, as for any estimated model parameters, awareness of the sensitivities of demographic model outputs to the imputed vital rates is essential.     

Do bumble bee queens choose nest sites to maximize foraging rate? Testing models of nest site selection

We proposed “foundress-max” hypothesis that a bumble bee foundress chooses her nest site to maximize her energy intake rate from nectar. To examine the hypothesis, we estimated the maximum energy intake rate at each site in the study area and compared the distribution of the maximum energy intake rates with those of actual nest sites. We also calculated rank correlations of the maximum energy intake rate with the number of nest-searching foundresses at 54 sites. The nest locations supported the foundress-max hypothesis, but the number of nest-searching foundresses did not. This could be attributed to the density of food sites: many food sites may attract many foundresses. Therefore, we subsequently proposed “foundress-sum” hypothesis that a foundress chooses her nest site to maximize the sum of energy intake rates. The nest locations supported the foundress-max hypothesis more than the foundress-sum hypothesis. A profitable food site would affect foundresses’ nest site selection.     

Female mate choice in the zebra finch — the effect of male beak colour and male song

Studies of female mate preference in zebra finches (Taenopygia guttata) have shown that male beak colour and song rate are important. However, the two characters are correlated. Here the effect of beak colour and song rate on female choice are examined independently. In mate choice tests involving two males, beak colour was manipulated artificially using nail varnish. The results showed that females showed a significant preference for males with a high song rate, but not with a red beak. Females did not prefer males with a red beak if song rate was low and females preferred males with orange beaks who expressed a high song rate. Female preference for males with red beaks was not found when beak and song characters were no longer correlated.     

温度对奶牛粪便温室气体排放的影响

采用封闭罐-气相色谱法对4种不同温度处理下奶牛粪便温室气体排放速率进行测定.结果表明,温度是影响奶牛粪便温室气体排放的主要因子,温度较低时奶牛粪便温室气体排放速率低,而且随着奶牛粪便处理温度升高而增大.在5、15、25和35℃4个处理中,奶牛粪便CO2排放速率两两之间差异显著;CH4排放速率除了5和15℃处理差异不显著之外,其他两两处理之间差异显著;35℃处理时N2O排放速率与其他温度的排放速率差异均显著,其他两两处理之间差异不显著.     

阿特拉津对铜绿微囊藻和四尾栅藻生长的影响

在实验室内利用MA培养液培养,通过测定藻生长量和叶绿素a含量,研究不同浓度下的阿特拉津对铜绿微囊藻(Microcystis aeruginosa)和四尾栅藻(Scenedesmus quadricauda)生长的影响,并以藻细胞数表示的最大比生长率为指标,评价2种藻对阿特拉津的敏感性.结果表明,在0.001～5.000 mg·L-1质量浓度范围内,阿特拉津对铜绿微囊藻和四尾栅藻的生长表现出低浓度刺激、高浓度抑制的效应,且阿特拉津对四尾栅藻的刺激效应明显大于铜绿微囊藻.     

SPG膜微气泡曝气生物膜反应器运行性能——空气通量的影响

空气通量是影响SPG膜微气泡曝气生物膜反应器运行性能的重要参数。在不同空气通量条件下,考察了微气泡产生特性及氧传质特性,以及SPG膜微气泡曝气生物膜反应器运行性能。结果表明,当空气通量由31.85 L/（min·m2）降低至12.74 L/（min·m2）时,产生的微气泡平均直径由62.9 μm减小到32.6 μm,氧传质系数由0.31 min-1降低至0.19 min-1,但氧传质效率由67.7%提高至90.3%。生物膜反应器DO浓度随空气通量的降低而下降,导致生物膜好氧代谢活性下降,进而COD和氨氮去除效率降低;同时,在较低DO浓度下,可实现同步硝化反硝化过程去除TN。随着空气通量的降低,生物膜反应器氧利用率增加,空气通量为12.74 L/（min·m2）时,可接近100%;同时,曝气能耗降低,在相同条件下能耗低于传统大气泡曝气。     

华北某油田石油降解菌的筛选及降解特性

以石油为唯一碳源,从华北某油田污染土壤中筛选出石油降解菌12株。其中5株菌有较强降解能力,分别编号为z-3、z-6、z-7、z-8和z-b,在30℃,160 r/min摇床培养10 d后,菌株对石油降解率分别为63.8%、34.2%、44.8%、50.5%和42.3%。通过生理生化和分子生物学鉴定,确定这5株菌分别属于假单胞菌属（Pseudomonas）、根瘤菌属（Rhizobium）、假黄单胞菌属（Pseudoxanthomonas）、假单胞菌属（Pseudomonas）、鞘氨醇单胞菌属（Sphingomonas）。通过对这5株菌生物量、脱氢酶及邻苯二酚 2,3-双加氧酶活性的监测,发现生物量及酶活性与石油降解能力具有直接关系。最后,对5株菌的生长条件进行优化,其中z-3、z-6、z-7和z-b菌株对石油降解率较优化前提高10%左右。     

模拟生物反应器加速产甲烷过程研究

渗滤液原液回灌易导致填埋垃圾产甲烷过程的滞后,从而对甲烷收集利用产生不利影响。通过3根实验室模拟生物反应器,研究了原液回灌(C1)、渗滤液好氧预处理后回灌(C2)和原液回灌+垃圾层上部通风曝气(C3)3种填埋方式下的填埋气产气规律。结果表明,C1甲烷浓度经历短暂上升,达到19.5%后开始逐渐降低,产甲烷速率和产甲烷总量均很低;C2甲烷浓度逐渐上升,在第121天时甲烷浓度达到50%,产甲烷最高速率和产甲烷总量分别为0.31 L/(kg·d)和25.2 L/kg。在停止上部垃圾层通风曝气后,C3甲烷浓度迅速上升,在81 d时甲烷浓度便达到50%以上,最大产甲烷速率和产甲烷总量分别为0.22 L/(kg·d)和16.0 L/kg。对各模拟柱填埋气可回收性评价结果表明,C3填埋气可回收利用比例最高,C2略低,C1在实验期间内则无可回收利用气体产生。