Evaluation of actual evapotranspiration measured by large-scale weighing lysimeters in a humid alpine meadow,northeastern Qinghai-Tibetan Plateau

The accurate estimation of evapotranspiration (ET) is essential for assessing water availability and requirements of regional-scale terrestrial ecosystems, and for understanding the hydrological cycle in alpine ecosystems. In this study, two large-scale weighing lysimeters were employed to estimate the magnitude and dynamics of actual evapotranspiration in a humid alpine Kobresia meadow from January 2018 to December 2019 on the northeastern Qinghai-Tibetan Plateau (QTP). The results showed that daily ET_a averaged 2.24 ± 0.10 mm day ⁻¹ throughout the study period, with values of 3.89 ± 0.14 and 0.81 ± 0.06 mm day⁻¹ during the growing season and non-growing season, respectively. The cumulative ET_a during the study period was 937.39 mm, exceeding precipitation (684.20 mm) received at the site during the same period by 37%, suggesting that almost all precipitation in the lysimeters was returned to the atmosphere by evapotranspiration. Furthermore, the cumulative ET_a (805.04 mm) was almost equal to the maximum potential evapotranspiration estimated by the FAO-56 reference evapotranspiration (ET₀) (801.94 mm) during the growing season, but the cumulative ET_a (132.25 mm) was 113.72% less than the minimum equilibrium ET_eq) (282.86 mm) during the non-growing season due to the limited surface moisture in frozen soil. The crop coefficient (K_c) also showed a distinct seasonal pattern, with a monthly average of 1.01 during the growing season. Structural equation model (SEM) and boosted regression tree (BRT) show that net radiation and air temperature were the most important factors affecting daily ET_a during the whole study period and growing season, but that non-growing season ET_a was dominated by soil water content and net radiation. The daily K_c was dominated by net radiation. Furthermore, both ET_a and K_c were also affected by aboveground biomass.     

静钻根植竹节桩承载力及荷载传递机制研究

静钻根植竹节桩是由预应力竹节桩和桩周水泥土构成的一种新型组合桩基,该新型桩不仅承载性能较好,而且可以大量减少桩基施工过程中所产生的泥浆污染。通过静钻根植竹节桩和钻孔灌注桩的静荷载对比试验及埋设在竹节桩桩身上的应变计对桩身轴力进行测量,分析了静钻根植竹节桩桩身的轴力分布情况以及侧摩阻力的分布,用有限元软件ABAQUS对静钻根植竹节桩进行三维建模计算,详细地分析这种新型组合桩的荷载传递机制。结合现场试验与模拟计算可以得到:在软土地区,静钻根植竹节桩这种新型组合桩的承载力比普通钻孔灌注桩要高;静钻根植竹节桩桩身变形由预制桩所控制,竹节桩与桩外围水泥土近似变形协调;竹节桩竹节的存在对组合桩承载性能有着极其重要的作用;在软土中静钻根植桩侧摩阻力是灌注桩侧摩阻力的1.05¹.10倍。     

Relationship of minimum winter temperature and temperature seasonality to the northern range limit and species richness of trees in North America

Biologists have considered both winter coldness and temperature seasonality as major determinants of the northern limits of plants and animals in the Northern Hemisphere,which in turn drive the well-known latitudinal diversity gradient.However,few studies have tested which of the two climate variables is the primary determinant.In this study,we assess whether winter coldness or temperature seasonality is more strongly associated with the northern latitudinal limits of tree species and with tree species richness in North Amedca.Tree species were recorded in each of 1198 quadrats of 110 km × 110 km in North America.We used correlation and regression analyses to assess the relationship of the latitude of the northern boundary of each species,and of species richness per quadrat,with winter coldness and temperature seasonality.Species richness was analyzed within 38 longitudinal,i.e.,north-south,bands (each being ＞1100 km long and 110 km wide).The latitudes of the north-ern range limits of tree species were three times better correlated with minimum temperatures at those latitudes than with temperature seasonality.On average,minimum temperature and temperature seasonality together explained 81.5％ of the variation in the northern range limits of the tree species examined,and minimum temperature uniquely explained six-fold (33.7％versus 5.8％) more of this variation than did temperature seasonality.Correlations of tree species richness with minimum temperatures were stronger than correlations with tempera-ture seasonality for most of the longitudinal bands analyzed.Compared to temperature sea-sonality,winter coldness is more strongly associated with species distributions at high lati-tudes,and is likely a more important driver of the latitudinal diversity gradient.     

A data mining based approach to predict spatiotemporal changes in satellite images

The interpretation of remotely sensed images in a spatiotemporal context is becoming a valuable research topic. However, the constant growth of data volume in remote sensing imaging makes reaching conclusions based on collected data a challenging task. Recently, data mining appears to be a promising research field leading to several interesting discoveries in various areas such as marketing, surveillance, fraud detection and scientific discovery. By integrating data mining and image interpretation techniques, accurate and relevant information (i.e. functional relation between observed parcels and a set of informational contents) can be automatically elicited.     

Extensions of GAP‐tree and its implementation based on a non‐topological data model

This paper discusses extensions of GAP‐trees from three aspects and its implementation based on non‐topological structure in order to enhance access to large vector data sets. First of all, we apply cartographic generalization rules to build a generalization procedure of the GAP‐tree, which makes coarse representations more consistent with human cognition. Second, we replace the three‐dimensional (pseudo‐) Reactive‐tree index with a 2D R‐tree index and a B‐tree index to improve the system efficiency. Finally, we compress a binary GAP‐tree into multi‐way GAP‐trees in order to reduce data redundancy. The shallower multi‐way GAP‐trees not only eliminate redundant data but also accelerate the system's response time. The extensions have been successfully implemented in PostgreSQL. A test of Beijing's land‐use data at the 1:10 000 scale demonstrates that the extended GAP‐trees are efficient, compact, and easy to implement.     

A deterministic river temperature model to prioritize management of riparian woodlands to reduce summer maximum river temperatures

Increasing river temperatures are a threat to cold water species including ecologically and economically important freshwater fish, such as Atlantic salmon. In 2018, ca. 70% of Scottish rivers experienced temperatures which cause thermal stress in juvenile salmon, a situation expected to become increasingly common under climate change. Management of riparian woodlands is proven to protect cold water habitats. However, creation of new riparian woodlands can be costly and logistically challenging. It is therefore important that planting can be prioritized to areas where it is most needed and can be most effective in reducing river temperatures. The effects of riparian woodland on channel shading depend on complex interactions between channel width, orientation, aspect, gradient, tree height and solar geometry. Subsequent effects on river temperature are influenced by water volume and residence time. This study developed a deterministic river temperature model, driven by energy gains from solar radiation that are modified by water volume and residence time. The resulting output is a planting prioritization metric that compares potential warming between scenarios with and without riparian woodland. The prioritization metric has a reach scale spatial resolution, but can be mapped at large spatial scales using information obtained from a digital river network. The results indicate that water volume and residence time, as represented by river order, are a dominant control on the effectiveness of riparian woodland in reducing river temperature. Ignoring these effects could result in a sub-optimal prioritization process and inappropriate resource allocation. Within river order, effectiveness of riparian shading depends on interactions between channel and landscape characteristics. Given the complexity and interacting nature of controls, the use of simple universal planting criteria is not appropriate. Instead, managers should be provided with maps that translate complex models into readily useable tools to prioritize riparian tree planting to mitigate the impacts of high river temperatures.     

Seeing the trees for the (urban) forest: more-than-human geographies and urban greening

ABSTRACT

Urban spaces have long been places to think through human relationships with nature. The recent shift in thinking from urban green space as outcome to urban greening as a process provides an opportunity to consider more explicitly how we engage with more-than-human worlds in urban spaces, in more differentiated ways, and for what ends. In this paper we contribute to growing interest in improved urban sustainability and well-being by bringing human geography perspectives on more-than-human worlds into conversation with the literature on urban greening. Drawing on key examples oriented around urban trees, we consider two main themes: sensibilities and belonging. We argue for an understanding of urban places as collective achievements that not only involve knowing and living with diverse humans and non-humans but also involve the re/making of sensibilities and belongings. Through this paper, we aim to open dialogue about how more-than-human geographies might help us to differently understand urban trees, contemporary urban greening, and people–plant relations.     

静钻根植竹节桩桩端承载性能试验研究

静钻根植竹节桩是由预制竹节桩和桩周水泥土所构成的一种新型组合桩基,它主要通过桩周水泥土改善桩-土接触面摩擦性质以及桩端水泥土扩大头改善桩端承载性能。通过现场静载试验对静钻根植竹节桩桩端承载性能进行研究,并采用传统桩端沉降计算公式对其桩端沉降进行计算;通过模型试验对竹节桩桩端与水泥土扩大头相对位置不同的试桩桩端承载性能进行研究。结合现场和模型试验可以得到：桩端水泥土扩大头可以改善静钻根植竹节桩桩端承载性能;当竹节桩桩端位于水泥土扩大头中间位置时,静钻根植竹节桩桩端承载性能最好;可以用传统桩端沉降计算公式对静钻根植竹节桩桩端沉降进行计算,且当竹节桩桩端位于水泥土扩大头中间位置时,理论计算与实测曲线几乎完全吻合。     

利用断头树估计2016年6月23日阜宁县龙卷风强度与尺度

2016年6月23日在盐城市阜宁县附近发生特大龙卷风事件,人员财产损失惨重。本文利用天气图和多普勒雷达图等气象资料,对此次龙卷风的产生机制进行分析,再根据受灾相对较严重的5个地区断头树情况的调查资料,以“大风中风速达到约42 m/s时,大风经过的树林中折断树的百分比急剧升高到50%”为依据,来估计风速达到42 m/s的龙卷风范围。调查结果显示:大气不稳定层结,冷、暖湿空气交汇,风的垂直风切变是此次龙卷风的重要诱发因子;此次龙卷风风速达到42 m/s的影响范围的长度至少达到20 km,最大宽度至少达到952 m。