Contentious space and scale politics: Planning for intercity railway in China's mega‐city regions

Over the past three decades, we have seen a flourishing of scholarship which explores the emerging political spaces and variegated scales of governance in China. This research draws on political economic tradition to argue that the way in which cities and regions are governed is indeed infused with socio‐political struggles which are proliferating at a range of spatial scales. Such theoretical interpretation is illuminating, but it has been subject to increasing criticism from the poststructuralist approach that views scale as an epistemological construct. This paper uses the Pearl River Delta Intercity Railway System (PRD‐ICRS) as a case study to challenge the onesidedness of both the political economy tradition and the poststructuralist approach in reading scale. It employs the “scale politics” thesis to argue that scale is more than a material existence (or institutionalised structure) that represents a particular arrangement of political power, being subject to perpetual transformation through regulatory projects and strategies. It is also a “representation trope” deployed in political discourses to acquire persuasive power to frame and legitimise these projects and strategies. Scale is thus both material and discursive. Understanding the two moments of scale enables a fuller dissection of political transformation.     

多因素影响下拖拉机侧向稳定性模型实验

针对拖拉机斜坡直线行驶工况,基于拖拉机比例模型和3D打印技术,建立了模型拖拉机轮胎-地面载荷实验测试系统。以斜坡上侧车轮-地面载荷为主要参考量,提出了针对拖拉机前、后轮的侧向稳定评价指标(拖拉机前、后轮的斜坡上侧车轮载荷分配系数)。采用田口实验设计方法,选择前后轮轮胎类型、前配重质量、前后轮距和机具位置6个影响因素作为控制因子,以E级和F级随机路面作为噪声因子,设计了6因子混合水平的田口实验方案,并对实验结果进行信噪比和均值的方差分析。实验结果表明,对拖拉机斜坡上侧前、后轮侧向稳定性影响最大的控制因子分别是前配重质量和后轮距;得出基于前、后轮侧向稳定性评价指标的拖拉机最优配置,为拖拉机的稳定性优化设计提供了一定参考,也为拖拉机防侧翻预警控制提供了理论基础。     

干旱条件下冬小麦不同尺度水分利用效率及其之间的关系

为探讨小麦叶片、单株和群体尺度水分利用效率(分别用WUE_l、WUE_p和WUE_f表示)之间的相关性,以供体亲本京411和轮回亲本晋麦47及其34个近等基因系为材料,利用防雨棚和渗漏池开展模拟干旱试验,鉴定比较材料之间灌浆前期的WUE_l和全生育期的WUE_p,同时监测全生育期群体耗水量,测定籽粒产量,计算WUE_f,进而分析3个不同尺度水分利用效率之间的相关关系。结果表明,34个近等基因系及其父母本之间,WUE_l与WUE_p均存在显著差异,但是大部分近等基因系及其亲本之间产量没有显著差异,群体总耗水量及WUE_f存在极显著差异。经相关分析,WUE_l与WUE_p之间存在极显著正相关关系,R2达0.732 5,而WUE_l和WUE_p与WUE_f之间相关性均很低,R2分别为0.005 3和0.000 4。在干旱条件下,WUE_l可以作为WUE_p的鉴定评价指标,而WUE_l和WUE_p均不能作为WUE_f的鉴定指标。     

Is bird incidence in Atlantic forest fragments influenced by landscape patterns at multiple scales?

The degree to which habitat fragmentation affects bird incidence is species specific and may depend on varying spatial scales. Selecting the correct scale of measurement is essential to appropriately assess the effects of habitat fragmentation on bird occurrence. Our objective was to determine which spatial scale of landscape measurement best describes the incidence of three bird species (Pyriglena leucoptera, Xiphorhynchus fuscus and Chiroxiphia caudata) in the fragmented Brazilian Atlantic forest and test if multi-scalar models perform better than single-scalar ones. Bird incidence was assessed in 80 forest fragments. The surrounding landscape structure was described with four indices measured at four spatial scales (400-, 600-, 800- and 1,000-m buffers around the sample points). The explanatory power of each scale in predicting bird incidence was assessed using logistic regression, bootstrapped with 1,000 repetitions. The best results varied between species (1,000-m radius for P. leucoptera; 800-m for X. fuscus and 600-m for C. caudata), probably due to their distinct feeding habits and foraging strategies. Multi-scale models always resulted in better predictions than single-scale models, suggesting that different aspects of the landscape structure are related to different ecological processes influencing bird incidence. In particular, our results suggest that local extinction and (re)colonisation processes might simultaneously act at different scales. Thus, single-scale models may not be good enough to properly describe complex pattern–process relationships. Selecting variables at multiple ecologically relevant scales is a reasonable procedure to optimise the accuracy of species incidence models.     

The influence of habitat availability and landscape structure on the distribution of wood cricket (Nemobius sylvestris) on the Isle of Wight, UK

Little information is available regarding the landscape ecology of woodland invertebrate species with limited dispersal ability. An investigation was therefore conducted within woodland fragments in an agricultural landscape for the flightless wood cricket (Nemobius sylvestris) on the Isle of Wight, UK. The current pattern of distribution of the species, established during a field survey, was related to measures of habitat availability and habitat isolation/fragmentation. Results revealed that wood cricket populations were patchily distributed and mainly found in relatively large mature woodland fragments situated closely (<50 m) to another occupied site. Although the occurrence of wood cricket was related to fragment area, isolation, habitat availability and woodland age, a logistic regression model revealed that presence of the species was most accurately predicted by fragment isolation and area alone. These results highlight the vulnerability of relatively immobile woodland invertebrate species, such as wood cricket, to the impacts of habitat loss and fragmentation.     

基于小波和双谱分析的湍流相干结构辨

为了从湍流信号中获取更多关于相干结构的定量信息,提出了一种基于小波和双谱分析的辨识相干结构的方法.该方法通过双谱和互相关分析合理地得到了包含相干结构信息的大涡信号,利用小波变换有效地提取出表征湍流多尺度相干结构的信号成份.建立了基于小波分析辨识湍流含能尺度的能量最大准则,以沟槽壁面减阻机理实验的湍流数据分析为例,验证了该方法的合理性和可靠性.     

Site fidelity of female caribou at multiple spatial scales

Studies of site fidelity have been hampered by arbitrary designations of spatial scale and the lack of null models for comparison. We generated null expectations of fidelity at different scales from the distribution of radio-tracked animals in a population. We applied the models to space use of satellite-tracked caribou (Rangifer tarandus caribou), the most vagile nonvolant terrestrial animal, from populations representing sedentary and migratory ecotypes. We compared distances between consecutive-year locations of adult females to expectations based on the total range and seasonal range of each population. At the scale of the total range, sedentary and migratory caribou displayed remarkably similar philopatry, despite a 30-fold difference in size of their population ranges, from time of calving (late May) to breeding (late October). The most intense fidelity occurred during post-calving when, on average, sedentary and migratory females returned to as near as 6.7 km and 123 km, respectively, of locations occupied the previous year. At the scale of the seasonal range, the ecotypes differed. Sedentary caribou still displayed fidelity from calving to breeding; migratory caribou exhibited fidelity only during late autumn. For migratory, but not sedentary caribou, inter-year distances during winter were negatively correlated with age, implying that older females were more philopatric. We conclude that reproductive activities delimit the season of fidelity of female caribou of both ecotypes, and that scale-dependent ecotypic differences in fidelity may reflect different factors of population limitation. A spatially-explicit approach to site fidelity is essential for synthesizing patterns across studies.     

Transitions in forest fragmentation: implications for restoration opportunities at regional scales

Where the potential natural vegetation is continuous forest (e.g., eastern US), a region can be divided into smaller units (e.g., counties, watersheds), and a graph of the proportion of forest in the largest patch versus the proportion in anthropogenic cover can be used as an index of forest fragmentation. If forests are not fragmented beyond that converted to anthropogenic cover, there would be only one patch in the unit and its proportional size would equal 1 minus the percentage of anthropogenic cover. For a set of 130 watersheds in the mid-Atlantic region, there was a transition in forest fragmentation between 15 and 20% anthropogenic cover. The potential for mitigating fragmentation by connecting two or more disjunct forest patches was low when percent anthropogenic cover was low, highest at moderate proportions of anthropogenic cover, and again low as the proportion of anthropogenic cover increased toward 100%. This fragmentation index could be used to prioritize locations for restoration by targeting watersheds where there would be the greatest increase in the size of the largest forest patch.     

Agricultural soil redistribution and landscape complexity

A number of hypotheses and conceptual models, particularly those emphasizing nonlinear dynamics and self-organization, postulate increases or decreases in complexity in the evolution of drainage basins, topography, soils, ecosystems, and other earth surface systems. Accordingly, it is important to determine under what circumstances and at what scales either trend might occur. This paper is concerned with changes in soil landscape complexity due to redistribution of sediment by fluvial, aeolian, and tillage processes at historical time scales in an agricultural field system near Grifton, North Carolina. Soil mapping and soil stratigraphic investigations were used to identify and map soil changes associated with erosion and deposition by water, wind, and tillage; reconstruct the pre-agricultural soil pattern; and identify transformations between soil types. The Kolmogorov entropy of the pre- and post- agricultural landscapes was then compared. The soil transformations associated with erosion and deposition created four distinct new soils and made possible new transformations among soil series, increasing the number of soil types from seven to 11 and the number of possible transformations from 14 to 22. However, the entropy and complexity of the soil landscape decreased, with associated increases in information and redundancy. The mass redistributions created a lower-entropy landscape by concentrating particular soils and soil transformations in specific landscape settings. This result is contrary to studies showing a trend toward increasing pedological complexity at comparable spatial scales, but over much longer time scales. These results point to the importance of temporal scale, and to the fact that environmental complexity is influenced by factors other than the number of different landscape units present.     

Alternative spatial resolutions and estimation of carbon flux over a managed forest landscape in Western Oregon

Spatially-distributed estimates of biologically-driven CO₂ flux are of interest in relation to understanding the global carbon cycle. Global coverage by satellite sensors offers an opportunity to assess terrestrial carbon (C) flux using a variety of approaches and corresponding spatial resolutions. An important consideration in evaluating the approaches concerns the scale of the spatial heterogeneity in land cover over the domain being studied. In the Pacific Northwest region of the United States, forests are highly fragmented with respect to stand age class and hence C flux. In this study, the effects of spatial resolution on estimates of total annual net primary production (NPP) and net ecosystem production (NEP) for a 96 km² area in the central Cascades Mountains of western Oregon were examined. The scaling approach was a simple `measure and multiply' algorithm. At the highest spatial resolution (25 m), a stand age map derived from Landsat Thematic Mapper imagery provided the area for each of six forest age classes. The products of area for each age class and its respective NPP or NEP were summed for the area wide estimates. In order to evaluate potential errors at coarser resolutions, the stand age map was resampled to grain sizes of 100, 250, 500 and 1000 m using a majority filter reclassification. Local variance in near-infrared (NIR) band digital number at successively coarser grain sizes was also examined to characterize the scale of the heterogeneity in the scene. For this managed forest landscape, proportional estimation error in land cover classification at the coarsest resolution varied from –1.0 to +0.6 depending on the initial representation and the spatial distribution of the age class. The overall accuracy of the 1000 m resolution map was 42% with respect to the 25 m map. Analysis of local variance in NIR digital number suggested a patch size on the order of 100–500 m on a side. Total estimated NPP was 12% lower and total estimated NEP was 4% lower at 1000 m compared to 25 m. Carbon flux estimates based on quantifying differences in total biomass stored on the landscape at two points in time might be affected more strongly by a coarse resolution analysis because the differences among classes in biomass are more extreme than the differences in C flux and because the additional steps in the flux algorithm would contribute to error propagation. Scaling exercises involving reclassification of fine scale imagery over a range of grain sizes may be a useful screening tool for stratifying regions of the terrestrial surface relative to optimizing the spatial resolution for C flux estimation purposes.