Europe’s energy deficit: a population dilemma

Europe’s growing energy deficit and destabilising climate may lead the EU and its constituent member states to change its attitude to population size and growth.     

安徽省省内人口流动空间选择研究

安徽省省内流动人口空间选择主要体现为省会优先、邻近区域优先和高工资区域优先的特征。省内形成以首府合肥为第一层次,以芜湖和淮南为第二层次,以蚌埠、淮北、安庆、马鞍山和铜陵为第三层次,其余城市为第四层次的空间选择格局。合肥是省内人口流入最大的辐合场,淮南、芜湖是次级辐合场,淮北、淮南、六安、巢湖等城市是对流场,流入人口规模与流出人口规模大体相当。     

大渡河流域电站建设对保护鱼类的影响及对策措施研究

为弄清大渡河流域电站建设对虎嘉鱼等5种保护鱼类的影响情况,探索适宜的保护措施,在流域枯水和丰水期分别选择了电站建设上下游6个有代表性的断面采集水样,采用电感耦合等离子发射光谱法等方法测定了重金属元素等16个指标,用单因子和综合指数评价法对电站上下游水质进行了对比评价;采用实地调查的方法调查了5种保护鱼类在近10年间种群数量的变化趋势。结果表明：电站建设对水质综合影响指数在1．64—1．82之间,影响严重;5种保护鱼类种群数量近10年间急剧下降,目前已为未见或罕见。     

有机垃圾组分种群增长及修正一级产气动力学研究

以米饭、鸡蛋清、生菜、肥肉馅为原料,分别代表淀粉、蛋白质、纤维素、脂肪进行厌氧消化产沼气实验,并用种群增长模型和修正一级产气模型进行拟合.结果表明:脂肪的厌氧消化过程用修正Gompertz方程拟合效果较好,其余物料用Logistic方程拟合效果较好;脂肪的延滞期最长,为13 d,其次是蛋白质、纤维素,其值分别为8.72 d、6.24 d,淀粉的延滞期接近零.同时,建立了修正一级产气模型,并在延滞期之后用其模拟4种有机物厌氧消化产气过程,发现淀粉水解过程更趋向于遵循圆柱形颗粒模型,蛋白质、纤维素和脂肪水解过程更趋向于片状颗粒模型,淀粉和蛋白质的水解产气速度较快,脂肪稍慢,纤维素最慢;在延滞期内蛋白质和纤维素累积沼气产率都遵循零级水解动力学,脂肪的累积沼气产率遵循三次函数模型.在综合分析的基础上,得到了整个实验周期的产气动力学模型.     

基于PM2.5的中国雾霾灾害风险评价

基于雾霾胁迫、人口暴露和适应能力,结合遥感数据与统计数据,对2014年中国286个地级及以上城市的雾霾灾害风险进行评价,在此基础上,识别雾霾灾害风险热点区的风险主导因子.结果表明:中国城市雾霾灾害风险整体水平不高且内部差异显著,雾霾灾害风险大体呈"东高西低、北高南低"的空间布局特征.雾霾灾害风险热点区范围涵盖96个城市,占据国土面积92.4万km~2,波及人群数量5.9亿.风险主导因子分区方面,适应能力主导区分布在汕头、揭阳、邵阳、娄底、玉林、汕尾、达州、巴中、天水、昭通、潮州和贵港等12个城市;雾霾胁迫主导区分布在郑州、上海、成都、泰州、济南、西安、武汉、鄂州、南京、扬州、天津、无锡、嘉兴、南昌、常州、芜湖、淄博、合肥、镇江、黄石、马鞍山、南通和日照等23个城市,其余61个城市则属于雾霾胁迫-适应能力综合主导区.     

天津地区人群对六六六的暴露分析

以天津地区六六六(HCH)各介质浓度的实测数据和文献中相关参数为基础资料 ,采用多介质暴露模型,估算了天津地区人群对环境中HCH的暴露水平 .计算结果说明 ,该地区人群的终身日均暴露量为0.05μg·(kg·d)^-1,儿童、青少年和成人亚群的暴露水平分别为 0.10、0.06和0.04 μg·(kg·d)^-1.膳食摄入占总暴露量的 87%以上 ,是最主要的途径 ;其次是呼吸暴露 ,对总暴露的贡献达5%～10%.各项参数中,膳食结构和食品、气相HCH残留水平是影响暴露的重要因素 .     

苏打盐碱地养鱼稻田水体微生物区系研究

对松嫩平原苏打盐碱地养鱼稻田水体微生物数量及种类组成进行了初步研究。结果表明,养鱼稻田异养细菌数量为0.280万～30.716万mL-1,高于未养鱼稻田(P<0.05),其平均值的时间分布为水稻生长末期>中期>初期;养鱼稻田和未养鱼稻田放线菌和霉菌数量均较少。养鱼稻田大肠菌群数量为403.6～17934.2L-1,显著高于未养鱼稻田(P<0.01),其平均值的时间分布为水稻生长中期>初期>末期。异养细菌数量与鱼产量、总施肥量和有机肥施用量均呈极显著相关,与化肥施用量相关不显著;大肠菌群数量与鱼产量相关显著,与总施肥量相关不显著,但与有机肥施用量相关极显著。养鱼稻田中检测出10个科(属)异养细菌,优势菌为弧菌属(Vib rion)、气单胞菌属(Aeromonas)和芽孢杆菌属(Bacillus)。     

Using long-term data for a reintroduced population to empirically estimate future consequences of inbreeding

Inbreeding depression is an important long-term threat to reintroduced populations. However, the strength of inbreeding depression is difficult to estimate in wild populations because pedigree data are inevitably incomplete and because good data are needed on survival and reproduction. Predicting future population consequences is especially difficult because this also requires projecting future inbreeding levels and their impacts on long-term population dynamics, which are subject to many uncertainties. We illustrate how such projections can be derived through Bayesian state-space modeling methods based on a 26-year data set for North Island Robins (Petroica longipes) reintroduced to Tiritiri Matangi Island in 1992. We used pedigree data to model increases in the average inbreeding level (F ) over time based on kinship of possible breeding pairs and to estimate empirically N_e/N (effective/census population size). We used multiple imputation to model the unknown components of inbreeding coefficients, which allowed us to estimate effects of inbreeding on survival for all 1458 birds in the data set while modeling density dependence and environmental stochasticity. This modeling indicated that inbreeding reduced juvenile survival (1.83 lethal equivalents [SE 0.81]) and may have reduced subsequent adult survival (0.44 lethal equivalents [0.81]) but had no apparent effect on numbers of fledglings produced. Average inbreeding level increased to 0.10 (SE 0.001) as the population grew from 33 (0.3) to 160 (6) individuals over the 25 years, giving a ratio of 0.56 (0.01). Based on a model that also incorporated habitat regeneration, the population was projected to reach a maximum of 331–1144 birds (median 726) in 2130, then to begin a slow decline. Without inbreeding, the population would be expected stabilize at 887–1465 birds (median 1131). Such analysis, therefore, makes it possible to empirically derive the information needed for rational decisions about inbreeding management while accounting for multiple sources of uncertainty.     

Vocal Activity as a Low Cost and Scalable Index of Seabird Colony Size

Although wildlife conservation actions have increased globally in number and complexity, the lack of scalable, cost‐effective monitoring methods limits adaptive management and the evaluation of conservation efficacy. Automated sensors and computer‐aided analyses provide a scalable and increasingly cost‐effective tool for conservation monitoring. A key assumption of automated acoustic monitoring of birds is that measures of acoustic activity at colony sites are correlated with the relative abundance of nesting birds. We tested this assumption for nesting Forster's terns (Sterna forsteri) in San Francisco Bay for 2 breeding seasons. Sensors recorded ambient sound at 7 colonies that had 15–111 nests in 2009 and 2010. Colonies were spaced at least 250 m apart and ranged from 36 to 2,571 m². We used spectrogram cross‐correlation to automate the detection of tern calls from recordings. We calculated mean seasonal call rate and compared it with mean active nest count at each colony. Acoustic activity explained 71% of the variation in nest abundance between breeding sites and 88% of the change in colony size between years. These results validate a primary assumption of acoustic indices; that is, for terns, acoustic activity is correlated to relative abundance, a fundamental step toward designing rigorous and scalable acoustic monitoring programs to measure the effectiveness of conservation actions for colonial birds and other acoustically active wildlife. La Actividad Vocal como un Índice Escalable y de Bajo Costo del Tamaño de Colonia de las Aves Marinas