Validating graph-based connectivity models with independent presence–absence and genetic data sets

Habitat connectivity is a key objective of current conservation policies and is commonly modeled by landscape graphs (i.e., sets of habitat patches [nodes] connected by potential dispersal paths [links]). These graphs are often built based on expert opinion or species distribution models (SDMs) and therefore lack empirical validation from data more closely reflecting functional connectivity. Accordingly, we tested whether landscape graphs reflect how habitat connectivity influences gene flow, which is one of the main ecoevolutionary processes. To that purpose, we modeled the habitat network of a forest bird (plumbeous warbler [Setophaga plumbea]) on Guadeloupe with graphs based on expert opinion, Jacobs’ specialization indices, and an SDM. We used genetic data (712 birds from 27 populations) to compute local genetic indices and pairwise genetic distances. Finally, we assessed the relationships between genetic distances or indices and cost distances or connectivity metrics with maximum-likelihood population-effects distance models and Spearman correlations between metrics. Overall, the landscape graphs reliably reflected the influence of connectivity on population genetic structure; validation R² was up to 0.30 and correlation coefficients were up to 0.71. Yet, the relationship among graph ecological relevance, data requirements, and construction and analysis methods was not straightforward because the graph based on the most complex construction method (species distribution modeling) sometimes had less ecological relevance than the others. Cross-validation methods and sensitivity analyzes allowed us to make the advantages and limitations of each construction method spatially explicit. We confirmed the relevance of landscape graphs for conservation modeling but recommend a case-specific consideration of the cost-effectiveness of their construction methods. We hope the replication of independent validation approaches across species and landscapes will strengthen the ecological relevance of connectivity models.     

基于地理国情普查的主体功能区规划实施监测与评估研究

主体功能区规划作为全国国土空间开发的战略性、基础性和约束性规划,目前已进入有序实施阶段,根据规划要求,需要对其实施进行持续监测和评估。地理国情普查所获取的海量地理国情信息正为主体功能区规划实施监测与评估提供了支撑。系统论证了应用地理国情普查成果开展规划监测与评估的可行性,并指出"边普查边应用"项目在机制上提供了保障。分析了主体功能区规划和地理国情普查对规划实施监测评估的要求,兼顾地理国情普查的数据成果,同时考虑指标的代表性和数据的可获取性,确立了优化开发区、重点开发区、农产品主产区和重点生态功能区的规划实施监测与评估指标体系,并以随州市曾都区为例,探讨了利用地理国情普查数据开展主体功能区规划的指标选取和技术过程等关键问题。     

功能区土地利用碳收支空间分异及碳补偿分区——以武汉城市圈为例

开展功能区土地利用碳收支评估并构建碳补偿分区优化框架,对于制定适应各功能区低碳策略、指导补偿额度流向、推动区域协调发展具有重要现实意义。以武汉城市圈县域为基本单元,在分析主体功能区划下土地利用碳收支空间分异特征的基础上,借助标准显示性比较优势指数法、SOM-K-means模型、二维关联矩阵等方法,对武汉城市圈进行了碳补偿类型区划分及优化。结果表明：武汉城市圈各县域土地利用碳排放总量地区差异显著,呈现“西高东低,中心最高”空间分布格局;主体功能区划下土地利用碳排放、碳吸收均具有明显空间分异特征,碳吸收与碳排放呈现出一定程度的相对空间分布趋势;武汉城市圈共有16个碳补偿支付区、11个碳补偿获补区以及12个碳补偿平衡区;结合主体功能区规划战略目标,最终形成7类碳补偿空间优化区,并对每一类型区提出了相应的低碳发展方向及策略。     

Physarum machines: encapsulating reaction–diffusion to compute spanning tree

The Physarum machine is a biological computing device, which employs plasmodium of Physarum polycephalum as an unconventional computing substrate. A reaction–diffusion computer is a chemical computing device that computes by propagating diffusive or excitation wave fronts. Reaction–diffusion computers, despite being computationally universal machines, are unable to construct certain classes of proximity graphs without the assistance of an external computing device. I demonstrate that the problem can be solved if the reaction–diffusion system is enclosed in a membrane with few ‘growth points’, sites guiding the pattern propagation. Experimental approximation of spanning trees by P. polycephalum slime mold demonstrates the feasibility of the approach. Findings provided advance theory of reaction–diffusion computation by enriching it with ideas of slime mold computation.     

Characteristics of the event mean concentration (EMC) from rainfall runoff on an urban highway

The purpose of this study was to investigate the characterization of the event mean concentration (EMC) of runoff during heavy precipitation events on highways. Highway runoff quality data were collected from the 7th highway, in South Korea during 2007-2009. The samples were analyzed for runoff quantity and quality parameters such as COD_cr, TSS, TPHs, TKN, NO₃, TP, PO₄ and six heavy metals, e.g., As, Cu, Cd, Ni, Pb and Zn. Analysis of resulting hydrographs and pollutant graphs indicates that the peak of the pollutant concentrations in runoff occurs 20 min after the first rainfall runoff occurrence. The first flush effect depends on the preceding dry period and the rainfall intensity. The results of this study can be used as a reference for water quality management of urban highways.     

矿井通风系统平面图专用绘制软件研制

在对现有矿井通风系统图绘制软件分析的基础上,开发了矿井通风系统平面图专用绘制软件。该软件能实现巷道绘制、交叉自动消隐处理、拓扑关系自动保存、GIS功能、巷道分区用风分支集中布置的网络图自动生成与网络解算等功能。利用该软件在淮南矿业集团某新建矿井试用,实现了前期的通风系统平面图快速绘制与后期的通风系统分析一体化,节省了大量的人力物力。     

Genetic algorithm optimisation of water consumption and wastewater network topology

Genetic algorithm (GA) optimisation applied to water systems with multiple contaminants and several contaminated sources is presented. This approach generates the overall optimal water network topology with respect to the minimum supply water usage, complying, in the same time, with all restrictions. An optimal water network could be viewed as an oriented graph, starting from unit operations which must not have contaminants at entrance (inlet contaminants-free unit operations), every next unit operation i receiving streams from the previous operations j only (j = 1, 2,…,i−1), and sending streams to the next operations j (j = i + 1, i + 2,…,N). The mathematical model describing the unit i is based upon total and contaminant species’ mass balances, together with the input and output constraints. Solving this optimisation problem is not trivial, since the unknowns' number, determines the number of equations. The GA optimisation uses each network's internal flow as a gene, assembling the topology into a chromosome. The restrictions, in terms of minimum and maximum allowable flows for each gene, are dealt with naturally, during the population generation, simply rejecting those genes outside their feasible domain. The individuals are interbred according to their frequency of selection, using the one-point crossover method, and then mutations are applied to randomly selected individuals. The objective function is the total supply water consumption, which should be minimised.