The impact of rural land management changes on soil hydraulic properties and runoff processes: results from experimental plots in upland UK          下载免费PDF全文

M. R. Marshall  C. E. Ballard  Z. L. Frogbrook  I. Solloway  B. Reynolds  H. S. Wheater 《水文研究》2014,28(4):2617-2629

To develop an evidence base to help predict the impacts of land management change on flood generation, four experimental sites were established on improved grassland used for sheep grazing at the Pontbren catchment in upland Wales, UK. At each site, three plots were established where surface runoff was measured, supplemented by measurements of soil infiltration rates and soil and vegetation physical properties. Following baseline monitoring, treatments were applied to two of the plots: exclusion of sheep (ungrazed) and exclusion of sheep and planting with native broadleaf tree species (tree planted), with the third plot acting as a control (grazed pasture). Due to a particularly dry summer that occurred pre‐treatment, the soil hydrological responses were initially impacted by the effects of the climate on soil structure. Nevertheless, treatments did have a clear influence on soil hydrological response. On average, post‐treatment runoff volumes were reduced by 48% and 78% in ungrazed and tree‐planted plots relative to the control, although all results varied greatly over the sites. Five years following treatment application, near‐surface soil bulk density was reduced and median soil infiltration rates were 67 times greater in plots planted with trees compared to grazed pasture. The results illustrate the potential use of upland land management for ameliorating local‐scale flood generation but emphasise the need for long‐term monitoring to more clearly separate the effects of land management from those of climatic variability. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Recultivation of abandoned agricultural lands in Ukraine: Patterns and drivers     

《Global Environmental Change》2016

The recent rise in agricultural commodity prices and the expectation that high price will persist have triggered a wave of farmland expansion in regions where land resources are still available. One such region is the former Soviet Union, where the collapse of socialism caused massive agricultural abandonment and where some of these lands are now being brought back into production. Yet, the extent and spatial patterns of recultivation, and what determines these patterns, remains unclear. We examined the extent of recultivation of abandoned agricultural land in Ukraine since 2007 using a new, satellite-based recultivation map and assessed the effect of biophysical and socioeconomic determinants on recultivation patterns using boosted regression trees. We found key predictors of recultivation to be related to the suitability of land for agriculture (i.e., soil quality, temperature). Accessibility to major cities was also important, with most recultivation happening closer to settlements, but this influence varied across Ukraine. Variables related to agricultural management (fertilizer input, mechanization) and demography were negligible in explaining recultivation in our analyses. These factors suggest that recultivation patterns were primarily driven by factors related to land productivity, with recultivation focusing on the most promising areas. Given the remaining large amount of unused agricultural land in Eastern Europe and the former Soviet Union, and considering that much abandonment occurred in areas only marginally suited to agriculture, our findings provide important insights into where recultivation can be expected to happen and thus for assessing the potential socioeconomic and environmental impacts of recultivation.  相似文献   

Predictive geochemical mapping using environmental correlation     

《Applied Geochemistry》2016

The distribution of chemical elements at and near the Earth's surface, the so-called critical zone, is complex and reflects the geochemistry and mineralogy of the original substrate modified by environmental factors that include physical, chemical and biological processes over time.Geochemical data typically is illustrated in the form of plan view maps or vertical cross-sections, where the composition of regolith, soil, bedrock or any other material is represented. These are primarily point observations that frequently are interpolated to produce rasters of element distributions. Here we propose the application of environmental or covariate regression modelling to predict and better understand the controls on major and trace element geochemistry within the regolith. Available environmental covariate datasets (raster or vector) representing factors influencing regolith or soil composition are intersected with the geochemical point data in a spatial statistical correlation model to develop a system of multiple linear correlations. The spatial resolution of the environmental covariates, which typically is much finer (e.g. ∼90 m pixel) than that of geochemical surveys (e.g. 1 sample per 10-10,000 km²), carries over to the predictions. Therefore the derived predictive models of element concentrations take the form of continuous geochemical landscape representations that are potentially much more informative than geostatistical interpolations.Environmental correlation is applied to the Sir Samuel 1:250,000 scale map sheet in Western Australia to produce distribution models of individual elements describing the geochemical composition of the regolith and exposed bedrock. As an example we model the distribution of two elements – chromium and sodium. We show that the environmental correlation approach generates high resolution predictive maps that are statistically more accurate and effective than ordinary kriging and inverse distance weighting interpolation methods. Furthermore, insights can be gained into the landscape processes controlling element concentration, distribution and mobility from analysis of the covariates used in the model. This modelling approach can be extended to groups of elements (indices), element ratios, isotopes or mineralogy over a range of scales and in a variety of environments.  相似文献   

2-D delineation of individual citrus trees from UAV-based dense photogrammetric surface models   总被引：1，自引：0，他引：1  

Ali Ozgun Ok  Asli Ozdarici-Ok 《International Journal of Digital Earth》2018,11(6):583-608

One of the challenges of remote sensing and computer vision lies in the three-dimensional (3-D) reconstruction of individual trees by using automated methods through very high-resolution (VHR) data sets. However, a successful and complete 3-D reconstruction relies on precise delineation of the trees in two dimensions. In this paper, we present an original approach to detect and delineate citrus trees using unmanned aerial vehicles based on photogrammetric digital surface models (DSMs). The symmetry of the citrus trees in a DSM is handled by an orientation-based radial symmetry transform which is computed in a unique way. Next, we propose an efficient strategy to accurately build influence regions of each tree, and then we delineate individual citrus trees through active contours by taking into account the influence region of each canopy. We also present two efficient strategies to filter out erroneously detected canopy regions without having any height thresholds. Experiments are carried out on eight test DSMs composed of different types of citrus orchards with varying densities and canopy sizes. Extensive comparisons to the state-of-the-art approaches reveal that our proposed approach provides superior detection and delineation performances through supporting a nice balance between precision and recall measures.  相似文献   

2012年1月、2016年1月东亚两次极端严寒事件及其与北极增暖的可能联系          下载免费PDF全文

武炳义 《大气科学学报》2019,42(1):14-27

自20世纪80年代后期以来,我国频繁出现暖冬,直到2004年以后这种状况出现明显的变化,冷冬出现的频次明显增多了。在全球增暖、北极海冰减少明显的背景下,冬季极端严寒的强度非但没有减弱反而似乎还在增强,造成灾害性的影响也越发引人关注。在上述背景下,2012年1月、2016年1月在东亚发生了两次极端严寒事件。本文的目的就是通过合成和相关分析,研究这两次极端严寒事件演变的主要特征,及其与北极增暖的可能联系。这两次极端严寒事件的环流演变截然不同。对于2012年1月的极端严寒事件,海平面气压异常主要呈现由东向西传播,在演变过程中,阿留申区域海平面气压超前西伯利亚高压,因此大气环流的下游效应起主要作用。对于2016年1月的极端严寒事件,冷空气主要由西北向东南传播。两次极端事件的主要降温区域的移动路径截然不同。2012年1月冷空气爆发以后主要在亚洲大陆中、高纬度维持并向西传播,其南传影响亚洲低纬度区域明显弱于2016年的冷事件。而2016年1月的主要降温区以沿东亚向南移动为主,强降温区直接南下至热带区域。两次极端严寒事件爆发前期大气环流演变的共同点:中、高纬度区域环流能量交换活跃,表现为中纬度高度脊加强北伸,从而把较低纬度的暖空气输送至北极区域,高纬度区域对流层中层呈现多极结构。这种多极空间结构是亚洲冷空气向南爆发的重要前兆信号。冬季北极阶段性增暖过程首先是中纬度高度脊加强北伸的结果。对影响东亚的极端严寒过程,乌拉尔附近区域的高压脊以及位于北美西部的高压脊加强北上、协同演变是至关重要的。2016年1月东亚极端严寒过程与2015年12月末北极快速增暖没有必然联系。  相似文献   

Holocene peatland development and hydrological variability inferred from bog‐pine dendrochronology and peat stratigraphy – a case study from southern Sweden     

Johannes Edvardsson  Hans Linderson  Mats Rundgren  Dan Hammarlund 《第四纪科学杂志》2012,27(6):553-563

Dendrochronological analysis was applied to subfossil remains of Scots pine (Pinus sylvestris L.) buried in a South Swedish peat deposit. In combination with peat stratigraphy, this approach was explored for its potential to provide information on the local hydrological and depositional history at the site, forming the basis for a regional palaeohydrological analysis. A 726‐year ring‐width chronology was developed and assigned an absolute age of 7233–6508 cal a BP (5284–4559 BC) through cross‐dating with German bog‐pine chronologies, whereas two short additional records of older ages were radiocarbon dated. Registration of growth positions of individual trees allowed assessment of the spatial dynamics of the pine population in response to hydrological changes and peatland ontogeny. Annually resolved growth variability patterns in the pine population reveal several establishment and degeneration phases, probably reflecting fluctuations in bog‐surface wetness. A major establishment phase at 7200–6900 cal a BP reflects the onset of a period of lowered groundwater level, also indicated by increased peat humification, and a development consistent with regional temperature and lake level reconstructions revealed from other proxies. This study demonstrates that subfossil bog‐pine populations may provide annually to decadally resolved reconstructions of local groundwater variability, which are highly relevant in a long‐term palaeoclimatic context. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Influence of multipurpose trees on agricultural crops in arid regions of Haryana, India   总被引：2，自引：0，他引：2  

Sunil Puri  Bangarwa K. S.  Shambhu Singh 《Journal of Arid Environments》1995,30(4)

The effects of multipurpose trees on the productivity of agricultural crops were studied in the arid regions of Haryana. In one of the experiments, wheat was grown on irrigated farms having scattered trees ofDalbergia sissoo, Azadirachta indica, Prosopis cinerariaandAcacia nilotica. Data of wheat yield for each tree species at different distances (1, 3, 5, and 7 m) and four directions (East, West, North and South) from the tree bases and control (no trees) were collected. Results indicate thatAzadirachta indicaandProsopis cinerariadid not produce any significant difference in the wheat yield while the other two species (Dalbergia sissooandAcacia nilotica) gave a reduction in yield.A. niloticahad a more significant and prominent effect and a reduction of 40 to 60 % wheat yield was observed.Dalbergia sissooreduced yield by 4 to 30 % but the reduction was only up to a distance of 3 m. In general, the impact of trees on productivity was observed up to 3 m distance and there was little, if any, impact up to 5 m and almost no impact at 7 m.In another experiment,D. sissoo(18-years-old) was raised as windbreak and productivity of cotton was assessed. The tree belt reduced the wind speed by 15 to 45 %, depending on season and wind speed. The influence of trees on cotton yield was observed to be negative up to 2H (36 m), where H is tree height, i.e. 18 m. Cotton productivity was observed to be maximum between 2H and 5H. Depending upon orientation of tree belt, the increase in cotton yield was found to be 4 to 10 %.  相似文献   

祁连山北坡水热条件对林草分布的影响     

陈昌毓 《山地学报》1993,(2)

采用气候学方法,计算了祁连山北坡不同海拔处的年降水量和乔木林年蒸散量,据此确定了满足乔木林需水的高度带。分析所得的7月均温10℃和6℃,可分别作为乔木林和灌木林生长的温度下限指标。据祁连山北坡水热条件的分布特点,确定了海拔2500—3200米处适宜发展乔木林,其生长以海拔2700—2900米处为最佳,海拔3200—3700米处适宜发展灌木林,其余山区只能生长草类。  相似文献   

Ultrahigh-pressure garnet lherzolite from Chijiadian, Rongcheng County, in the Su-Lu region of eastern China   总被引：3，自引：0，他引：3  

N. Hiramatsu  S. Banno  T. Hirajima  B. Cong 《Island Arc》1995,4(4):324-333

Abstract Petrological studies of a serpentinized garnet lherzolite body in Rongcheng of the Su-Lu region of eastern China revealed unusually high pressure. Spinel lherzolite probably in a subducting slab was transformed to garnet lherzolite at mantle depth. During exhumation, they were subsequently subjected to the granulite and then amphibolite overprinting and a phase of serpentinization. The peak P–T conditions of the garnet lherzolite estimated after detailed analysis of the metamorphic texture are 4–5 GPa and 820°C or 5–6 GPa and 780°C, depending on the chosen geothermobarometers. The lower dP/dT of the garnet lherzolite can be interpreted as the results of subduction of an old (say 100 Ma older than the time of collision) and cold, slab underneath the margin of the Sino–Korean craton.  相似文献   

THE CHARACTERISTICS OF GENERAL CIRCULATION, POLAR ICE AND SNOW DAYS / COVER OF EXTREMELY SEVERE COLD MONTHS IN SOUTH CHINA WINTER     

吴尚森  梁建茵 《热带气象学报(英文版)》2001,7(1):11-18

The work has made a statistic study of the variations of extremely severe cold winter months in the south of China and general circulation and external forcing factors in preceding periods. The result shows that from the current month to the preceding March the subtropical high in the west Pacific is persistently weak or located more to the east and south. When the summer monsoon is weak in East Asia in the year before, the winter monsoon will be strong in the current year in which the extremely severe cold month occurs. The Asian polar vortex expands in the preceding July, August and September and the current winter. The Tibetan Plateau has fewer days of snow cover in the November and December before the cold month occurs. There is less snow in the Tibetan Plateau in the preceding winter / spring of each extremely severe cold month. There are more polar ice in the polar Region for the 11 months before the current February, especially the previous March through August, and in Region in January ~ November before the current cold month of December but less ice in Region in March ~ August.  相似文献