scholarly journals Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond

2017 ◽  
Vol 9 (2) ◽  
pp. 445-459 ◽  
Author(s):  
Claire M. Wood ◽  
Simon M. Smart ◽  
Robert G. H. Bunce ◽  
Lisa R. Norton ◽  
Lindsay C. Maskell ◽  
...  
Keyword(s):  
Great Britain ◽  
Land Cover ◽  
Survey Design ◽  
Ecological Data ◽  
Vegetation Monitoring ◽  
Environmental Classification ◽  
Freshwater Habitats ◽  
Vegetation Surveys

Abstract. The Countryside Survey (CS) of Great Britain provides a globally unique series of datasets, consisting of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The same sites, with some additional squares, were used for subsequent surveys of vegetation undertaken in 1990, 1998 and 2007, with the intention of future surveys. Other data records include soils, freshwater habitats and invertebrates, and land cover and landscape feature diversity and extents. These data have been recorded in the same locations on analogous dates. However, the present paper describes only the details of the vegetation surveys. The survey design is a series of gridded, stratified, randomly selected 1 km squares taken as representative of classes derived from a statistical environmental classification of Britain. In the 1978 survey, 256 one-kilometre sample squares were recorded, increasing to 506 in 1990, 569 in 1998 and 591 in 2007. Initially each square contained up to 11 dispersed vegetation plots but additional plots were later placed in different features so that eventually up to 36 additional sampling plots were recorded, all of which can be relocated where possible (unless the plot has been lost, for example as a consequence of building work), providing a total of 16 992 plots by 2007. Plots are estimated to have a precise relocation accuracy of 85 %. A range of plots located in different land cover types and landscape features (for example, field boundaries) are included. Although a range of analyses have already been carried out, with changes in the vegetation being related to a range of drivers at local and national scales, there is major potential for further analyses, for example in relation to climate change. Although the precise locations of the plots are restricted, largely for reasons of landowner confidentiality, sample sites are intended to be representative of larger areas, and many potential opportunities for further analyses remain. Data from each of the survey years (1978, 1990, 1998, 2007) are available via the following DOIs: Countryside Survey 1978 vegetation plot data (https://doi.org/10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96), Countryside Survey 1990 vegetation plot data (https://doi.org/10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191), Countryside Survey 1998 vegetation plot data (https://doi.org/10.5285/07896bb2-7078-468c-b56d-fb8b41d47065), Countryside Survey 2007 vegetation plot data (https://doi.org/10.5285/57f97915-8ff1-473b-8c77-2564cbd747bc).

scholarly journals Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond

2017 ◽  
Author(s):  
Claire M. Wood ◽  
Simon M. Smart ◽  
Robert G. H. Bunce ◽  
Lisa R. Norton ◽  
Lindsay C. Maskell ◽  
...  
Keyword(s):  
Great Britain ◽  
Survey Design ◽  
Habitat Diversity ◽  
Ecological Data ◽  
Vegetation Monitoring ◽  
Environmental Classification ◽  
Vegetation Surveys ◽  
Vegetation Samples

Abstract. The Countryside Survey (CS) of Great Britain provides a unique series of datasets, consisting of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The same sites, with some additional squares, were used for subsequent surveys of vegetation undertaken in 1990, 1998 and 2007, with the intention of future surveys. Other data, for example regarding soils, freshwater and habitat diversity and extents, have also been sampled in the same locations on analogous dates. However, the present paper describes only the vegetation surveys. The survey design is based on a series of gridded, stratified, randomly selected 1 km squares derived from a statistical environmental classification of Britain. 256 1 km sample squares were included in the 1978 survey, 506 in 1990, 569 in 1998 and 591 in 2007. Initially each square contained up to 11 dispersed vegetation plots but additional plots were later placed in different features so that eventually up to 36 additional sampling plots were recorded, all of which can be relocated where practically possible, providing a total of 16,992 plots by 2007. This database of vegetation plots is a unique national resource providing the only comprehensive quantitative ecological coverage of Britain, with a time-series of vegetation samples dating back to 1978. Plots in different habitats, land cover types and landscape features are included. Although a range of analyses have already been carried out, with changes in the vegetation being related to a range of drivers at local and national scales, there is a major potential for further analyses, for example in relation to climate change. Data from each of the survey years (1978, 1990, 1998, 2007) are available via the following DOIs: Countryside Survey 1978 vegetation plot data (https://doi.org/10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96), Countryside Survey 1990 vegetation plot data (https://doi.org/10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191), Countryside Survey 1998 vegetation plot data. (https://doi.org/10.5285/07896bb2-7078-468c-b56d-fb8b41d47065), Countryside Survey 2007 vegetation plot data (https://doi.org/10.5285/57f97915-8ff1-473b-8c77-2564cbd747bc).

scholarly journals The phytosociology of the Vermaaks, Marnewicks and Buffelsklip valleys of the Kammanassie Nature Reserve, Western Cape

Koedoe ◽  
2005 ◽  
Vol 48 (1) ◽  
Author(s):  
G. Cleaver ◽  
L.R. Brown ◽  
G.J. Bredenkamp
Keyword(s):  
Large Scale ◽  
Management Practices ◽  
Nature Reserve ◽  
Western Cape ◽  
Groundwater Abstraction ◽  
Ecological Processes ◽  
Vegetation Surveys ◽  
Baseline Information

Long-term conservation ecosystems require a broader understanding of the ecological processes involved. Because ecosystems react differently to different management practices, it is important that a description and classification of the vegetation of an area are completed. A vegetation survey of the valley areas of the Kammanassie Nature Reserve was undertaken as part of a larger research project to assess the environmental impacts of large-scale groundwater abstraction from Table Mountain Group aquifers on ecosystems in the reserve. From a TWFNSPAN classification, refined by Braun-Blanquet procedures, 21 plant communities, which can be grouped into 13 major groups, were identified. A classification and description of these communities, as well as a vegetation map of the different areas are presented. Associated gradients in habitat w ere identified by using an ordination algorithm (DECORANA). The diagnostic species as well as the prominent and less conspicuous species of the tree, shrub, forb and grass strata are outlined. The study also resulted in a total number of 481 species being identified and the discovery of a new Erica species. These vegetation surveys and descriptions provide baseline information for management purposes and that allows monitoring as well as similar surveys to be conducted in future.

scholarly journals Analysis of Land use and Land cover Characteristics of Kanke, Pankshin, and Langtang Local Government Areas, Plateau State, Nigeria

2020 ◽  
Vol 3 (3a) ◽  
pp. 53-67
Author(s):  
YA Andesikuteb ◽  
WW Musa ◽  
LV Ezra ◽  
MT Obasi ◽  
RG Rogers ◽  
...  
Keyword(s):  
Local Government ◽  
Land Cover ◽  
Large Scale ◽  
Survey Design ◽  
Adaptation Strategy ◽  
Primary Data ◽  
Rock Outcrops ◽  
Plateau State ◽  
Productive Land

This study assessed landuse and landcover changes and how they affect the agrarian production in Kanke, Pankshin and Langtang North Local Government Areas of plateau state, Nigeria. The study adopted the survey design. The primary data was obtained through field observations, interview of stakeholders, satellite (landsat8 and shuttle radar terrain mission) and questionnaire administration which asked questions on socioeconomic status of respondents, constraints to farmers and the respondents’ perception on the existing adaptation strategies in place. ArcGIS10.6version software was employed for the classification of land cover types while supervised classification method was adopted using maximum likelihood algorithm for the classification of feature types. Data generated by Landsat8 and ArcGIS10.6 version software were subjected to Pan-Sharpening processing for clarity of terrain features. The study findings revealed that 66.13% of the earth’s surface in the study area is covered by rock outcrops while water body; one of man’s most precious resources occupied less than 1% (0.15%). The distribution of farmers based on constraints to farming indicated that poor soils and small farm land sizes constituted the most severe challenges to farming activities in the study area. As an adaptation strategy to inadequate farm lands, terrace farming practice and dry season farming, large scale quarrying activities is recommended to serve as a source of employment and income to authorities and a means of surface leveling to convert the dominant rock outcrops to productive land and prioritizing farming in the limited plains.

The acute and long-term prognosis of cerebral infarction on the basis of the clinical classification of the Oxfordshire community stroke project

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S151-S151
Author(s):  
Katsunori Isa ◽  
Takashi Tokashiki ◽  
Koichiro Okumura ◽  
Kunitoshi Iseki ◽  
Shuichi Takishita
Keyword(s):  
Cerebral Infarction ◽  
Clinical Classification ◽  
Oxfordshire Community Stroke Project ◽  
Long Term Prognosis

MODERN PROBLEMATICS AND ANALYSIS OF EFFICIENCY OF APPLICATION OF DIFFERENT APPROACHES TO DESTRUCTION OF INFORMATION ON MAGNETIC MEDIA

2019 ◽  
Vol 2 (12) ◽  
pp. 154-164
Author(s):  
O. Semenenko ◽  
O. Vodchyts ◽  
V. Koverga ◽  
R. Lukash ◽  
O. Lutsenko
Keyword(s):  
Armed Forces ◽  
Information Storage ◽  
Storage Device ◽  
Magnetic Media ◽  
Long Term Storage ◽  
Physical Impact ◽  
And Storage ◽  
Term Storage

The introduction and active use of information transmission and storage systems in the Ministry of Defense (MoD) of Ukraine form the need to develop ways of guaranteed removal of data from media after their use or long-term storage. Such a task is an essential component of the functioning of any information security system. The article analyzes the problems of guaranteed destruction of information on magnetic media. An overview of approaches to the guaranteed destruction of information on magnetic media of different types is presented, and partial estimates of the effectiveness of their application are given by some generally accepted indicators of performance evaluation. The article also describes the classification of methods of destruction of information depending on the influence on its medium. The results of the analysis revealed the main problems of application of software methods and methods of demagnetization of the information carrier. The issue of guaranteed destruction of information from modern SSD devices, which are actively used in the formation of new systems of information accumulation and processing, became particularly relevant in the article. In today's conditions of development of the Armed Forces of Ukraine, methods of mechanical and thermal destruction are more commonly used today. In the medium term, the vector of the use of information elimination methods will change towards the methods of physical impact by the pulsed magnetic field and the software methods that allow to store the information storage device, but this today requires specialists to develop new ways of protecting information in order to avoid its leakage.

Determinants of Corporate Long-Term Capital Policy. Poland vs. France, Germany, and Great Britain: Comparative Approach and Panel Analysis

2005 ◽  
Author(s):  
Waldemar Frackowiak ◽  
Sebastian Gryglewicz ◽  
Piotr Stobiecki ◽  
Maciej Stradomski ◽  
Adam Szyszka
Keyword(s):  
Great Britain ◽  
Comparative Approach ◽  
Panel Analysis

Influence of internal and external risks on sustainability of financial system of Аltai krai

2018 ◽  
Vol 35 (4) ◽  
pp. 133-136
Author(s):  
R. N. Ibragimov
Keyword(s):  
Sustainable Development ◽  
Financial Stability ◽  
Management Strategy ◽  
Financial System ◽  
Risk Management Strategy ◽  
The Sustainable Development ◽  
The Stability ◽  
The Impact

The article examines the impact of internal and external risks on the stability of the financial system of the Altai Territory. Classification of internal and external risks of decline, affecting the sustainable development of the financial system, is presented. A risk management strategy is proposed that will allow monitoring of risks, thereby these measures will help reduce the loss of financial stability and ensure the long-term development of the economy of the region.

scholarly journals Soil erosion by snow gliding – a first quantification attempt in a subalpine area in Switzerland

2014 ◽  
Vol 18 (9) ◽  
pp. 3763-3775 ◽  
Author(s):  
K. Meusburger ◽  
G. Leitinger ◽  
L. Mabit ◽  
M. H. Mueller ◽  
A. Walter ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Sediment Yield ◽  
Soil Loss ◽  
Water Erosion ◽  
Erosion Rates ◽  
The Difference ◽  
Snow Gliding

Abstract. Snow processes might be one important driver of soil erosion in Alpine grasslands and thus the unknown variable when erosion modelling is attempted. The aim of this study is to assess the importance of snow gliding as a soil erosion agent for four different land use/land cover types in a subalpine area in Switzerland. We used three different approaches to estimate soil erosion rates: sediment yield measurements in snow glide depositions, the fallout radionuclide 137Cs and modelling with the Revised Universal Soil Loss Equation (RUSLE). RUSLE permits the evaluation of soil loss by water erosion, the 137Cs method integrates soil loss due to all erosion agents involved, and the measurement of snow glide deposition sediment yield can be directly related to snow-glide-induced erosion. Further, cumulative snow glide distance was measured for the sites in the winter of 2009/2010 and modelled for the surrounding area and long-term average winter precipitation (1959–2010) with the spatial snow glide model (SSGM). Measured snow glide distance confirmed the presence of snow gliding and ranged from 2 to 189 cm, with lower values on the north-facing slopes. We observed a reduction of snow glide distance with increasing surface roughness of the vegetation, which is an important information with respect to conservation planning and expected and ongoing land use changes in the Alps. Snow glide erosion estimated from the snow glide depositions was highly variable with values ranging from 0.03 to 22.9 t ha−1 yr−1 in the winter of 2012/2013. For sites affected by snow glide deposition, a mean erosion rate of 8.4 t ha−1 yr−1 was found. The difference in long-term erosion rates determined with RUSLE and 137Cs confirms the constant influence of snow-glide-induced erosion, since a large difference (lower proportion of water erosion compared to total net erosion) was observed for sites with high snow glide rates and vice versa. Moreover, the difference between RUSLE and 137Cs erosion rates was related to the measured snow glide distance (R2 = 0.64; p < 0.005) and to the snow deposition sediment yields (R2 = 0.39; p = 0.13). The SSGM reproduced the relative difference of the measured snow glide values under different land uses and land cover types. The resulting map highlighted the relevance of snow gliding for large parts of the investigated area. Based on these results, we conclude that snow gliding appears to be a crucial and non-negligible process impacting soil erosion patterns and magnitude in subalpine areas with similar topographic and climatic conditions.

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