Historic versus output-based allocation of GHG tradable allowances: a comparison

Two ways of allocating greenhouse gas (GHG) allowances are compared: historic allocation (HA) based solely on past information, and output-based allocation (OBA) based on an allocation proportional to the current output level. The advantages and problems of each allocation method are considered and compared. It is essential to distinguish the sectors sheltered from international competition (e.g. power generation) from the exposed sectors. In the sheltered sectors, OBA entails a much higher overall cost because it provides too little incentive to reduce the production of the polluting goods. HA does not suffer from this drawback but its distributional impact is highly unfair. Hence in these sectors neither of these two ways of freely allocating allowances can be supported, and auctioning should be favoured. However, in the exposed sectors, OBA is an option worth considering because it reduces carbon leakage, although it also suffers from some drawbacks compared with auctioning.     

SOFTWARE REVIEWS

software reviews are in this article MACATLAS . Number Cruncher Statistical System (NCSS) TRANSPRO FIRE-ROUTER     

模拟氮沉降对三江平原湿地小叶章生物量及分配的影响

在非淹水、淹水两种水分条件下模拟氮沉降变化(分别相当于氮沉降0g/(m2.a)、1g/(m2.a)、3g/(m2.a)、5g/(m2.a))对三江平原典型湿地植物小叶章生物量及其分配的影响。结果表明,不同水分状况下氮沉降均促进小叶章生物量的积累,且以N5水平下生物量增加最多(p<0.05)。小叶章各器官生物量增长程度对氮沉降的响应并不一致:非淹水条件下根生物量平均增长最大(54.5%),其次是叶(31%)、茎(19.2%);淹水条件下小叶章各部位的生物量增长更为显著,其中根生物量平均增长124.7%,叶、茎生物量分别增长62%和61.1%。氮沉降明显促进了根生物量的积累,提高根生物量的分配比例。生长季的氮沉降对于改变湿地的营养状况、刺激植物生长具有直接的生态意义。     

外部利润、产权界定与土地资源优化配置——成都市农村土地股份合作制改革的制度经济学解析

以"外部利润——产权界定——资源优化配置"为研究主线,对成都市农村土地股份合作制改革进行了制度经济学解析。研究发现,制度创新空间的形成、土地的增值收益、土地规模利用效应和土地集约利用效应构成了成都市农村土地股份合作制改革的外部利润。成都市农村土地股份合作制改革,一方面可以提高土地规模和集约利用效应,促进土地资源优化配置;另一方面可以明晰集体土地产权主体,健全基层组织治理机制。要采取诸如放松法律限制、加强理论研究、规范机制建设等措施,从而推动土地股份合作制的生成和发展。     

成矿作用的空间分布不均匀性及其控制因素探讨

全球矿产资源时空分布的不均匀性及其形成机制,已成为地球科学关注的热点和前沿领域。本文在对全球矿产资源的空间分布规律及其不均匀性分布特点的研究进展进行全面阐述的基础上,重点分析了控制成矿作用空间分布不均匀性的主要因素,如地壳组成与演化的差异、地壳/地幔化学组成的不均一性、成矿构造环境的差异、重大地质构造事件的影响、构造转换或转折和叠加、矿床形成与保存能力等。研究认为,深刻理解全球矿产资源空间分布的不均匀性特征及其形成的根本原因,应加强以下五个方面的研究:①大陆成矿作用的空间分布不均匀性的机制;②从全球构造角度,揭示成矿作用的时空分布规律;③强调深部成矿过程,以阐明成矿作用不均匀性原因;④加强成矿系统、成矿系列研究;⑤加强矿产资源时空分布不均匀性的形成机制研究。     

Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience

ABSTRACT

More than 10 years have passed since the coining of the term volunteered geographic information (VGI) in 2007. This article presents the results of a review of the literature concerning VGI. A total of 346 articles published in 24 international refereed journals in GIScience between 2007 and 2017 have been reviewed. The review has uncovered varying levels of popularity of VGI research over space and time, and varying interests in various sources of VGI (e.g. OpenStreetMap) and VGI-related terms (e.g. user-generated content) that point to the multi-perspective nature of VGI. Content-wise, using latent Dirichlet allocation (LDA), this study has extracted 50 specific research topics pertinent to VGI. The 50 topics have been subsequently clustered into 13 intermediate topics and three overarching themes to allow a hierarchical topic review. The overarching VGI research themes include (1) VGI contributions and contributors, (2) main fields applying VGI, and (3) conceptions and envisions. The review of the articles under the three themes has revealed the progress and the points that demand attention regarding the individual topics. This article also discusses the areas that the existing research has not yet adequately explored and proposes an agenda for potential future research endeavors.     

Optimal rural land use allocation in central China: Linking the effect of spatiotemporal patterns and policy interventions

Rural land use development is experiencing a transition stage of socioeconomic and land use development in China. Historic land use transition process and policy interventions have key influence on the applicability of land use allocation solutions in future land use management. Strategic land use allocation is therefore required to possess a good adjustment capability to the transition process. Although heuristic optimization methods have been promising to solve land use allocation problems, most of them ignored the spatially explicit effect of historic land use transition and policies. To help resolve this issue, this study aims to optimize future land use pattern in the context of rural land use development. We took Yunmeng County, one of the typical major grain producing and rapidly urbanizing areas in central China, as a case study and solved the sustainable land use allocation problem by using an improved heuristic optimization model. The model was constructed based on the integration of a spatial discrete particle swarm optimization and cellular automata-Markov simulation approach. The spatiotemporal land use patterns and policy interventions were represented by the CA-Markov as in spatially explicit transition rules, and then incorporated into the discrete PSO for optimal land use solutions. We examined the influence of the joint effect of spatiotemporal land use patterns and policy interventions on the land use allocation outcome. Our results demonstrate the robustness and potential of the proposed model, and, more importantly, indicate the significance of incorporating the spatiotemporal land use patterns and policy interventions into rural land use allocation.     

国外土地配置研究与启示

总结国外土地配置研究的特点与经验,可以为我国土地配置工作面临的诸多新问题与新挑战提供参考与借鉴。利用文献资料法与定性分析法,对国外有关土地配置的研究进行了梳理和分析。国外土地配置研究对维持生态系统正常运行、保护土地景观、阻止生态用地向工业用地过度转化以及确保土地利用社会整体利益最大化等问题非常关注,对土地适宜性评判、不同因素对土地配置的影响及土地配置调控手段效率检验与改进等方面也进行了比较深入的研究。与国外土地配置研究相比,我国土地配置研究应从扩展研究视角、注重多维度土地利用类型的适宜性评判、重视利益主体诉求以及探析土地配置新途径等方面完善相关研究体系。     

A Time Monte Carlo method for addressing uncertainty in land-use change models

One of the main objectives of land-use change models is to explore future land-use patterns. Therefore, the issue of addressing uncertainty in land-use forecasting has received an increasing attention in recent years. Many current models consider uncertainty by including a randomness component in their structure. In this paper, we present a novel approach for tuning uncertainty over time, which we refer to as the Time Monte Carlo (TMC) method. The TMC uses a specific range of randomness to allocate new land uses. This range is associated with the transition probabilities from one land use to another. The range of randomness is increased over time so that the degree of uncertainty increases over time. We compare the TMC to the randomness components used in previous models, through a coupled logistic regression-cellular automata model applied for Wallonia (Belgium) as a case study. Our analysis reveals that the TMC produces results comparable with existing methods over the short-term validation period (2000–2010). Furthermore, the TMC can tune uncertainty on longer-term time horizons, which is an essential feature of our method to account for greater uncertainty in the distant future.     

Ecosystem Carbon Allocation of a Temperate Mixed Forest and a Subtropical Evergreen Forest in China

Ecosystem carbon allocation can indicate ecosystem carbon cycling visually through its quantification within different carbon pools and carbon exchange. Using the ecological inventory and eddy covariance measurement applied to both a mature temperate mixed forest in Changbai Mountain (CBM) and a mature subtropical evergreen forest in Dinghu Mountain (DHM), we partitioned the ecosystem carbon pool and carbon exchange into different components, determined the allocation and analyzed relationships within those components. Generally, the total carbon stock of CBM was slightly higher than that of DHM due to a higher carbon stock in the arbor layer at CBM. It was interesting that the proportions of carbon stock in vegetation, soil and litter were similar for the two mature forests. The ratio of vegetation carbon pool to soil carbon stock was 1.5 at CBM and 1.3 at DHM. However, more carbon was allocated to the trunk and root from the vegetation carbon pool at CBM, while more carbon was allocated to foliage and branches at DHM. Moreover, 77% of soil carbon storage was limited to the surface soil layer (0-20 cm), while there was still plentiful carbon stored in the deeper soil layers at DHM. The root/shoot ratios were 0.30 and 0.25 for CBM and DHM, respectively. The rates of net ecosystem productivity (NPP) to gross ecosystem productivity (GPP) were 0.76 and 0.58, and the ratios of ecosystem respiration (Re) to GPP were 0.98 and 0.87 for CBM and DHM, respectively. The net ecosystem carbon exchange/productivity (NEP) was 0.24 t C ha^-1 yr^-1 for CBM and 3.38 t C ha^-1 yr^-1 for DHM. Due to the common seasonal and inter-annual variations of ecosystem carbon exchange resulting from the influence of environmental factors, it was necessary to use the long record dataset to evaluate the ecosystem sink capacity.