基于宗地尺度的土地集约利用潜力评价及存量用地挖潜研究——以重庆市渝北区为例

为探究渝北区未来存量用地的挖潜方向,通过构建商服圈,并利用建筑、人口经济、交通和公共服务设施数据,从功能、强度和区位潜力3方面选取评价指标,结合层次分析法和熵权法确定其权重,计算渝北区城镇建设用地集约利用潜力,并依此识别可用于二次开发的宗地.结果表明:①渝北区划定商服圈总面积15 827.25 hm~2,因受地形、政策和城市双核心发展因素影响商服圈呈不规则形状;②用于潜力评价的宗地因城市开发过程中各类用地并存且未实现更新而未呈现同心圆模式;③渝北区可用于二次开发的城镇建设用地总面积为1 178.88 hm~2,主要布局于两路老城区南部、龙山—龙溪—龙塔街道西北部和创新经济走廊中部等区域.④渝北区公共管理与公共服务用地和商业服务业设施用地土地集约利用潜力较大,是未来改造盘活的主要用地类型.     

Exploring tree diversity and stand structure of savanna woodlands in southeastern Sudan

Savanna woodlands in Sudan host great biodiversity, provide a plethora of ecosystem goods and services to local communities, and sustain numerous ecological functions. Although the importance of the Acacia trees in these areas is well known, up-to-date information about these woodlands' diversity is limited and changes in their woody vegetation composition, density, diversity and relative frequency are not monitored over time. This study explored tree diversity and stand stage structure in Nuara Reserved Forest, a typical savanna woodland ecosystem in southeastern Sudan. A total of 638 circular sample plots (1000 m² for each) were established using a systematic sampling grid method. The distance between plots was 200 m. In each plot, all living trees with diameter at breast height (DBH) ≥5.00 cm were identified and counted, and their DBH values were recorded. From these data, tree composition, diversity, density and stage structure were assessed. There were 12,259 individual trees representing four species (Acacia seyal, Balanites aegyptiaca, Acacia Senegal and Acacia mellifera) that belong to two families. The dominant species was Acacia seyal. Average tree density was 191 trees/hm² and the Shannon-Weiner index for trees diversity was 0.204. Overall, young trees comprised 86.30% of the forest. The state of tree richness and density in the study area was low compared to other similar environments in the region and around the world. We recommended adoption of a proper management system that includes monitoring of woody vegetation diversity in this forest, and management actions to enhance tree diversity and sustain ecosystem services to local communities. In addition to care for the dominant Acacia seyal stands, more attention and conservation should be devoted to reestablishing Acacia senegal and Acacia mellifera trees because of their high ecological and economic values for local communities.     

Improving wood volume predictions in dry tropical forest in the semi-arid Brazil

The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates. In this study, we analyzed a database of thinning trees from a forest management plan in the Contendas de Sincorá National Forest, southwestern Bahia State, Brazil. The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm. Adjustments, validation and statistical selection of four volumetric models were performed. Due to the difference in height values for the same diameter and the low correlation between both variables, we do not suggest models which only use the diameter at breast height (DBH) variable as a predictor because they accommodate the largest estimation errors. In comparing the best single entry model (Hohenald-Krenn) with the Spurr model (best fit model), it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion (AIC) and adjusted determination coefficient (R2 adj), which are poorer than the second best model (Schumacher-Hall). Regarding the minimum sample size, errors in estimation (root mean square error (RMSE) and bias) of the best model decrease as the sample size increases, especially when a larger number of trees with DBH≥15.0 cm are randomly sampled. Stratified sampling by diameter class produces smaller volume prediction errors than random sampling, especially when considering all trees. In summary, the Spurr and Schumacher-Hall models perform better. These models suggest that the total variance explained in the estimates is not less than 95%, producing reliable forecasts of the total volume with shell. Our estimates indicate that the bias around the average is not greater than 7%. Our results support the decision to use regression methods to build models and estimate their parameters, seeking stratification strategies in diameter classes for the sample trees. Volume estimates with valid confidence intervals can be obtained using the Spurr model for the studied dry forest. Stratified sampling of the data set for model adjustment and selection is necessary, since we find significant results with mean error square root values and bias of up to 70% of the total database.     

利用荧光观测明确载球孢白僵菌松毛虫赤眼蜂对亚洲玉米螟的防控增效作用

载球孢白僵菌松毛虫赤眼蜂能够显著提高对亚洲玉米螟的防控效果,为了明确其对亚洲玉米螟卵期及幼虫期可持续防控的作用机理,采用松毛虫赤眼蜂吸附绿色荧光蛋白（GFP）标记的球孢白僵菌分生孢子,进行赤眼蜂载菌情况,以及亚洲玉米螟卵和幼虫的寄生、侵染过程观察。结果表明,赤眼蜂羽化后能够吸附柞蚕卵表面粘附的白僵菌分生孢子,并将其携带至亚洲玉米螟卵块表面,并吸附于未被赤眼蜂寄生的亚洲玉米螟卵孵化的幼虫体表,实现侵染并致死,幼虫带菌率达60.00%,网室内杀虫生物测定僵虫率达27.00%。本研究表明,载菌赤眼蜂在提高杀虫效率的同时实现害虫可持续防控,该方法为其他载菌天敌的应用提供了依据。     

我国饲草重大病虫鼠害研究进展

为全面了解我国饲草重大病虫鼠害分布和危害,充分掌握其传播扩散规律及其造成的重大经济损失,我们系统分析了我国饲草病害、虫害、鼠害等生物灾害危害情况,总结了国内外饲草病虫鼠害防控现状与研究进展,提出了饲草重大生物灾害的防控对策,为保障饲草产业和草牧业健康发展提供理论支撑。此外,本文还总结了我国饲草病虫鼠害的防控难题,为今后饲草病虫鼠害的研究提供了方向。