Gradient analysis of the chrogenetic structure of lowland and highland scotch pine populations

Gradients of genetic distances (GGDs) between 26 adjacent cenopopulations of Scotch pine (Pinus sylvestris L.) along the transects through the distinct landscape-ecotopic isolation borders were analyzed graphically. The results made it possible to reveal and quantitatively estimate gradients and borders of gene-pool structural patterns in populations of this species in the central part of Northern Eurasia. In lowland areas, the most distinct borders were found between pine populations growing on dry lands and bogs (Pineta sphagnosa) in the forest zone of the Transural region, as well as between the Arakaragaiskii and Amankaragaiskii island pine forests in the steppe zone (Northern Turgai). In highland areas (the Urals and the Carpathians), the greatest GGDs were observed between low-mountain (about 600 m above sea level) and middle-mountain (850–900 m) populations. Analysis of GGDs is a promising gene-geographic method for determining population borders and studying the chorogenetic structure of species.     

我国人口老龄化加速发展对城市化发展速度的影响

中国的城市化水平在过去的20余年里以年均超过一个百分点的速度提升,然而在城市化主要依靠人口乡城迁移推动的模式下,人口年龄结构老化对城市化发展的影响日渐显现。文章通过年龄移算法描述了乡城人口迁移流动的年龄模式,发现我国农村人口乡城迁移概率随年龄的分布呈现"中间大,两头小"的特征。然后,文章分析了此种年龄模式形成的原因,认为制度是影响乡城迁移年龄模式的决定性因素,制度变迁的缓慢性以及路径依赖决定了短期内我国人口乡城迁移年龄模式的稳定性。基于此,文章预测了人口老龄化对未来中国人口城市化发展的影响,得出的基本结论是,未来中国城市化发展的水平提高将进入一个相对平缓的时期,年度城市化水平的提升将显著低于过去一个时期,对未来10-20年中国城市化发展水平的预期未可过于乐观。针对这一结论,文章建议在未来的城市化过程中应完善社会融入机制和提升城市化质量。     

土地城镇化与人口城镇化的非协调性和互动关系

土地城镇化与人口城镇化失调是我国目前城镇化进程中的一个突出问题。但对各地区土地城镇化与人口城镇化的非协调性进行全面系统分析的研究相对较少。此外,鲜有研究对土地城镇化与人口城镇化之间的互动关系进行实证检验。本研究利用我国2005—2013年间的省级面板数据考察各省级行政区土地城镇化与人口城镇化的非协调性,并通过构建和估计面板向量自回归模型探究土地城镇化与人口城镇化之间的互动关系。研究发现,土地城镇化与人口城镇化的非协调性存在着显著的时空差异。在样本期的后半段(2009—2013年),多个省级行政区人口城镇化滞后于土地城镇化的程度有所加深。根据全样本期内土地城镇化与人口城镇化非协调性的严重程度,可将各省级行政区划分为5个等级。城镇常住人口变化对建成区面积变化具有显著的正向影响;建成区面积变化对城镇常住人口变化的影响方向虽然为正,但该影响不具有统计显著性。从而表明人口城镇化对土地城镇化起到了推动作用,但土地城镇化却未能有效地带动和促进人口城镇化。此外,第二、三产业增加值变化对城镇常住人口变化具有显著的正向影响。研究从改革新增建设用地指标分配方式、抑制城市空间粗放扩张及推动户籍制度改革和基本公共服务均等化等方面提出了促进土地城镇化和人口城镇化协调发展的政策建议。     

“全面放开二孩”政策对中国人口出生率的冲击与趋势探讨

从"单独二孩"政策到"全面放开二孩"政策,政府针对中国人口现实情况不断做出符合社会需求的政策调整,尽管有可能缓解长期以来计划生育政策导致的适龄劳动力短缺及"未富先老"等社会问题,但人口政策调整的长期效果却有待验证。为此,本文运用灰色预测模型和Leslis模型等方法,对"全面放开二孩"生育政策背景下中国未来人口出生率的冲击和波动趋势作出预测,并对"全面放开二孩"政策所带来的对生育率及人口年龄结构影响展开分析,对2016—2050年的出生率、人口总数及人口结构作出预测,最终发现"全面放开二孩"政策会促进人口结构相对优化,但不能从根本上扭转劳动力供求关系失衡和老龄化加剧的趋势。为防止落入人口超低生育率陷阱,适度抑制老龄化快速增长趋势,实现人口与社会经济全面协调发展,必须对现行的生育政策进行完善,短期内,应积极出台配套措施,全面贯彻"全面放开二孩"政策,积极应对老龄化趋势;长期内,应逐步过渡到自主生育政策,形成人口自然生长的均衡发展长效机制。     

The influence of Chinese population policy change on resources and the environment

Universal two-child policy has been implemented since the end of 2015 in China. This policy is anticipated to bring a significant increase in the total population, with profound influences on the resources and environment in the future. This paper analyzes the changing dynamics of urban and rural population, and forecasts urban and rural population from 2016 to 2030 at national and provincial scale using a double log linear regression model. Drawing upon the results of these two predictions, the impact of the population policy change on Chinese resources consumption and environmental pollution are predicted quantitatively. Given the future total population maintains current levels on resources consumption and environmental emission, the additional demand of resources and environment demand for the new population is forecasted and compared against the capacity on supply side. The findings are as follows: after implementing the universal two-child policy, China’s grain, energy consumption, domestic water demand, and pollutant emissions are projected to increase at different rates across provinces. To meet the needs arising from future population growth, food and energy self-sufficiency rate will be significantly reduced in the future, while relying more on imports. Stability of the water supply needs to be improved, especially in Beijing, Henan, Jiangsu, Qinghai, and Sichuan where the gap in future domestic water demand is comparatively larger. Environmental protection and associated governing capability are in urgent need of upgrade not least due to the increasing pressure of pollution.     

Interaction Between the Environment and Animals in Urban Settings: Integrated and Participatory Planning

In urban ecosystems, the ecological system has become completely unbalanced; this, in turn, has led to an increase in well-known problems such as air pollution, ground pollution, and water pollution. This imbalance has also led to the growth and spread of pathogens harmful to man, animals, and plants. Urban sustainability indicators, both global and local, also “indicate” the percentage of population, but these refer only to the human population, not the animal population. Cities need good waste, water, and air management, effective traffic planning, and good zoning of businesses, crafts, and services; over and above these activities, cities also need for planning to take into account the existence of pets (dogs, cats, and etc.) and nonpet animals (insects, birds, mice, etc.). Cities tend to be designed around humans and “on a human scale,” without taking into account the fact that a huge animal population is living side by side with people. That explains why overcrowding tends to go hand in hand with urbanization; all these populations, including humans, need to adapt to new spaces and often need to drastically change their behavior. This is a fact that must be included when drafting sustainable city plans. The supposed strategy is that of “integrated-participatory” control of the interactions between the environment and animals in the cities. Strategy will focus on the development of integrated approaches and tools for environment and animal management in the context of urban settings. This will require such specific methods as ecological balance sheets and ecoplans for the planning, management, and control of the interrelation among environment, animal, and public health. The objective is to develop a better understanding of urban biodiversity and of urban ecosystem functioning, in order to understand and minimize the negative impacts of human activities on them. The research will focus on assessing and forecasting changes in urban biodiversity, structure, function, and dynamics of urban ecosystems, with relationships among society, economy, biodiversity, and habitats.     

Optimization of capture–recapture monitoring of elusive species illustrated with a threatened grasshopper

Information on population sizes and trends of threatened species is essential for their conservation, but obtaining reliable estimates can be challenging. We devised a method to improve the precision of estimates of population size obtained from capture–recapture studies for species with low capture and recapture probabilities and short seasonal activity, illustrated with population data of an elusive grasshopper (Prionotropis rhodanica). We used data from 5 capture–recapture studies to identify methodological and environmental factors affecting capture and recapture probabilities and estimates of population size. In a simulation, we used the population size and capture and recapture probability estimates obtained from the field studies to identify the minimum number of sampling occasions needed to obtain unbiased and robust estimates of population size. Based on these results we optimized the capture–recapture design, implemented it in 2 additional studies, and compared their precision with those of the nonoptimized studies. Additionally, we simulated scenarios based on thresholds of population size in criteria C and D of the International Union for Conservation of Nature (IUCN) Red List to investigate whether estimates of population size for elusive species can reliably inform red-list assessments. Identifying parameters that affect capture and recapture probabilities (for the grasshopper time since emergence of first adults) and optimizing field protocols based on this information reduced study effort (−6% to −27% sampling occasions) and provided more precise estimates of population size (reduced coefficient of variation) compared with nonoptimized studies. Estimates of population size from the scenarios based on the IUCN thresholds were mostly unbiased and robust (only the combination of very small populations and little study effort produced unreliable estimates), suggesting capture–recapture can be considered reliable for informing red-list assessments. Although capture–recapture remains difficult and costly for elusive species, our optimization procedure can help determine efficient protocols to increase data quality and minimize monitoring effort.     

Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures

Introduction: Heterogeneous driving populations with many different origins are likely to have various sub-cultures that comprise of drivers with shared driver characteristics, most likely with dissimilar traffic safety cultures. An innovative methodology in traffic safety research is introduced which is beneficial for large datasets with multiple variables, making it useful for the multi-variate classification of drivers, driving attitudes and/or (risky) driving behaviours. Method: With the application of multidimensional scaling analysis (MDS), this study explores traffic safety culture in the State of Qatar using a questionnaire and investigates the similarity patterns between the questionnaire items, aiming to classify attitudes towards risky driving behaviours into themes. MDS is subsequently applied to classify drivers within a heterogeneous driving sample into sub-cultures with shared driver characteristics and different risky driving attitudes. Results: Results show that acceptance of speeding is highest among the young Arabic students and acceptance of distraction and drivers’ negligence such as phone use and not wearing a seatbelt is highest among male Arab drivers. Acceptance of extreme risk-taking like intoxicated driving and red-light running is highest among South-Asian business drivers. Conclusion: It is important and practical to understand risky behavioural habits among sub-cultures and thereby focussing on groups of drivers instead of individuals, because groups are easier to approach and drivers within sub-cultures are found to influence each other. By indicating which groups of drivers are most likely to perform specific risky driving themes, it is possible to target these groups and effectively emphasise certain subsets of risky driving behaviours during training or traffic safety education. Practical Applications: This study provides guidance for the improvement of driver education and targeted traffic safety awareness campaigns, intending to make changes to attitudes and habits within specific driver sub-cultures with the aim to improve traffic safety on the longer term.     

人口与消费对碳排放影响的分析模型与实证

从消费压力人口视角探讨碳排放问题,有利于正确判断和把握气候变化压力的人文因素,以及人口与消费可持续发展的动力学机制.本文通过对STIRPAT模型的扩展,应用岭回归方法计量分析人口、消费及技术因素对碳排放的影响.对我国1980至2007年碳排放情况的统计实证结果表明,扩展的STIRPAT模型对中国国情有较高的解释力.居民消费水平、人口城市化率、人口规模三个因素对我国碳排放总量的变化影响明显;现阶段我国居民消费水平与人口结构变化对碳排放的影响力已高于人口规模变化的影响力,居民消费水平与消费模式等人文因素的变化有可能成为我国碳排放的新的增长点;技术进步因素在此模型中对我国该阶段碳排放的解释力有限,表明我国未来通过技术进步减缓碳排放的潜力巨大.