中国规划环评中协调性分析的作用

协调性分析是规划环境影响评价的重要组成部分,它的分析对象是被评价的规划草案及其相关的政策、法规、规划等。在以规划草案为评估对象的环境影响评价中,协调性分析能够起到两种作用：解释制定规划草案的“政策背景环境”,和检查规划草案是否存在资源保护、环境保护方面的缺陷和不足。这两种作用不能被截然分开。协调性分析的目的是帮助环评单位和公众更好地理解规划制定的背景,以及使规划环评针对草案的缺陷与不足提出相应的环境目标和环境保护对策。分析结果一般可以使用矩阵来表示。如果规划环评可以早期介入到规划的制定中,描述“政策背景环境”和制定可选择性方案这两个程序就可以达到协调性分析的目的．因此不再需要进行专门的协调性分析。     

城市绿地结构与鸟类栖息生境的营造

城市化对城市鸟类多样性产生了诸多不利影响。城市绿地结构是鸟类栖息生境选择的重要因素之一。在分析公园面积、连通性、岛屿化等影响城市鸟类多样性的城市绿地结构特征基础上,提出通过优化绿地结构营造鸟类栖息生境的原则,探讨了保护城市自然保留地、建设环城绿化带、构建河岸带与道路绿色廊道、复层植物群落配置、特殊空间绿化等途径作为鸟类生境营造的方法。     

建设项目环境影响评价中易被忽视的几个细节

环境影响评价是一项专业性较强的技术工作,一份环评报告需要关注的内容比较多。在具体的建设项目环境影响评价报告的编制过程中,虽然有相关的环评法规、技术导则、环境标准等文件作为指导,但常常因为环评工程师缺乏实际环评工作经验等原因,有一些重要的细节被忽视了。这些被忽视的细节直接影响到了环评报告的质量,导致环评报告结论的科学性与可靠性遭到质疑。文章介绍了一些常被忽视的重要细节,并有针对性地提出了改进建议。     

湖南省雷电特征及闪电数据分析

湖南是雷暴多发区,雷暴分布是南多北少,西多东少。近35年地面雷暴观测数据显示,全省年平均雷暴数呈下降趋势。湖南闪电以负地闪为主,占总地闪的94．59％,平均闪电强度随着海拔高度的增加而加大,长沙、韶山为闪电强度低值中心。一天中13～20时是闪电高发期,正地闪的平均能量要大于负地闪。     

在探索中发展:《新闻联播》灾害事件报道的嬗变

《新闻联播》对年初的南方冰雪灾害和汶川地震进行了大量的报道,我们通过对这些报道资料的收集和整理,在进行定量分析和定性分析的基础上认为：《新闻联播》对于南方冰雪灾害和汶川地震的报道存在一定的变化,这些变化体现了《新闻联播》在灾害事件报道的探索中不断发展。本文指出了取得进展的各个方面,并分析了取得这些进展的原因。     

扎龙保护区野生丹顶鹤种群现状及保护对策

对多年扎龙湿地野生丹顶鹤的种群数量及繁殖情况的调查数据作了详细统计,阐述了种群数量和繁殖巢数变化的原因,分析了丹顶鹤生存环境面临的威胁因素,并提出了相应的保护措施.     

Effects of the adaptations to climate changes on the income of herdsmen in Qinghai Province

This study aims to implement the empirical analysis of the effects of the adaptive measures on the income of herdsmen in the context of the climate change with the positive mathematical programming(PMP)model.The survey was first implemented in three counties in the Three Headwaters Region.Finally the measures and recommendations suitable for the economic development in the ecologically fragile areas were proposed.The main conclusions are as follows:priority can be given to the measures to prevent the damage from rats and the engineering measures for pasture maintenance in Zeku County,where the geological conditions and grass quality are inferior,while the fiscal subsidy can be prioritized in Tongde County where the grassland area is relatively less.These recommendations can not only provide good reference for the protection of grassland resources,but they also lay a foundation for the implementation of more suitable measures to help the herdsmen in the ecologically fragile areas to adapt to the climate change.     

Game analysis of Chinese stakeholders in collective forest rights system reform

In the current stage of Chinese forest ownership reform, the central and local governments as well as the forest farmers play different roles with variations in their expected returns. Managing these respective relationships between the forestry stakeholders to maximize their benefits while actively engaging each stakeholder in the collective forest ownership reform process has become an important issue. This study uses the game theory methodology to analyze the relationship between the different reform stakeholders and then builds on the forest farmers’ participation in the reform model process at the reform movement micro-level. This model calculates the forest products equilibrium marketing sales and the government subsidies provided to the forest farmers, when the forest farmers willingly participate in the reform process. It will provide a reliable basis for formulation of government policies which positively impacts Chinese forestry reform.     

Relationships between net primary productivity and stand age for several forest types and their influence on China's carbon balance

Affected by natural and anthropogenic disturbances such as forest fires, insect-induced mortality and harvesting, forest stand age plays an important role in determining the distribution of carbon pools and fluxes in a variety of forest ecosystems. An improved understanding of the relationship between net primary productivity (NPP) and stand age (i.e., age-related increase and decline in forest productivity) is essential for the simulation and prediction of the global carbon cycle at annual, decadal, centurial, or even longer temporal scales. In this paper, we developed functions describing the relationship between national mean NPP and stand age using stand age information derived from forest inventory data and NPP simulated by the BEPS (Boreal Ecosystem Productivity Simulator) model in 2001. Due to differences in ecobiophysical characteristics of different forest types, NPP-age equations were developed for five typical forest ecosystems in China (deciduous needleleaf forest (DNF), evergreen needleleaf forest in tropic and subtropical zones (ENF-S), deciduous broadleaf forest (DBF), evergreen broadleaf forest (EBF), and mixed broadleaf forest (MBF)). For DNF, ENF-S, EBF, and MBF, changes in NPP with age were well fitted with a common non-linear function, with R(2) values equal to 0.90, 0.75, 0.66, and 0.67, respectively. In contrast, a second order polynomial was best suitable for simulating the change of NPP for DBF, with an R(2) value of 0.79. The timing and magnitude of the maximum NPP varied with forest types. DNF, EBF, and MBF reached the peak NPP at the age of 54, 40, and 32 years, respectively, while the NPP of ENF-S maximizes at the age of 13 years. The highest NPP of DBF appeared at 122 years. NPP was generally lower in older stands with the exception of DBF, and this particular finding runs counter to the paradigm of age-related decline in forest growth. Evaluation based on measurements of NPP and stand age at the plot-level demonstrates the reliability and applicability of the fitted NPP-age relationships. These relationships were used to replace the normalized NPP-age relationship used in the original InTEC (Integrated Terrestrial Ecosystem Carbon) model, to improve the accuracy of estimated carbon balance for China's forest ecosystems. With the revised NPP-age relationship, the InTEC model simulated a larger carbon source from 1950-1980 and a larger carbon sink from 1985-2001 for China's forests than the original InTEC model did because of the modification to the age-related carbon dynamics in forests. This finding confirms the importance of considering the dynamics of NPP related to forest age in estimating regional and global terrestrial carbon budgets.     

Development of Customized Fire Behavior Fuel Models for Boreal Forests of Northeastern China

Knowledge of forest fuels and their potential fire behavior across a landscape is essential in fire management. Four customized fire behavior fuel models that differed significantly in fuels characteristics and environmental conditions were identified using hierarchical cluster analysis based on fuels data collected across a boreal forest landscape in northeastern China. Fuel model I represented the dense and heavily branched Pinus pumila shrubland which has significant fine live woody fuels. These forests occur mainly at higher mountain elevations. Fuel model II is applicable to forests dominated by Betula platyphylla and Populus davidiana occurring in native forests on hill slopes or at low mountain elevations. This fuel model was differentiated from other fuel models by higher herbaceous cover and lower fine live woody loading. The primary coniferous forests dominated by Larix gmelini and Pinus sylvestris L. var. mongolica were classified as fuel model III and fuel model IV. Those fuel models differed from one another in average cover and height of understory shrub and herbaceous layers as well as in aspect. The potential fire behavior for each fuel model was simulated with the BehavePlus5.0 fire behavior prediction system. The simulation results indicated that the Pinus pumila shrubland fuels had the most severe fire behavior for the 97th percentile weather condition, and had the least severe fire behavior under 90th percentile weather condition. Fuel model II presented the least severe fire potential across weather conditions. Fuel model IV resulted in greater fire severity than Fuel model III across the two weather scenarios that were examined.