scispace - formally typeset
Search or ask a question
Institution

University of Stirling

EducationStirling, Stirling, United Kingdom
About: University of Stirling is a education organization based out in Stirling, Stirling, United Kingdom. It is known for research contribution in the topics: Population & Polyunsaturated fatty acid. The organization has 7722 authors who have published 20549 publications receiving 732940 citations. The organization is also known as: Stirling University.


Papers
More filters
Book ChapterDOI
TL;DR: In this article, the chemistry of the minerals frequently present in ultramafic rocks, and the ecology of serpentine soil are discussed, and three principal polymorphic forms of serpentines are recognized: chrysotile, antigorite, and lizardite.
Abstract: Publisher Summary The chapter provides details of the chemistry of the minerals frequently present in ultramafic rocks, and discusses the ecology of serpentine soil. Serpentine is used by biologists to describe a group of ultramafic rocks and the soils derived from them. Three principal polymorphic forms of serpentine are recognized: chrysotile, antigorite, and lizardite. The processes by which serpentine rocks develop into soils depend on climate, time, relief, and biotic factors along with the chemical composition of the parent material. As a result many types of soil occur on serpentines. The characteristics of serpentine are briefly discussed. Serpentine vegetation has two major characteristics: Physiognomic differences from the vegetation of surrounding rocks, and rare species and combinations of species. The vegetation of serpentines presents a wide range of appearances. Biologists have concentrated on the situations where serpentine vegetation is in sharp contrast with that of the surroundings. Such contrasts do not always occur and when this happens the serpentine vegetation is often not documented. The more closely studied serpentines have many vegetation features in common but the causes of these similarities can be very different. There is much scope for further work in many fields on serpentines.

469 citations

Journal ArticleDOI
23 Oct 2008-Nature
TL;DR: Countries must learn how to capitalize on their citizens' cognitive resources if they are to prosper, both economically and socially, according to the World Bank.
Abstract: Countries must learn how to capitalize on their citizens' cognitive resources if they are to prosper, both economically and socially. Early interventions will be key.

467 citations

Journal ArticleDOI
TL;DR: In this paper, the authors argue that micromarketing cannot examine the relationship between sustainable consumption and the quality of life critically because the essence of the relationship lies in the domina...
Abstract: This article argues that micromarketing cannot examine the relationship between sustainable consumption and the quality of life critically because the essence of the relationship lies in the domina...

467 citations

Journal ArticleDOI
TL;DR: The aim of this study was to review systematically the prevalence of headache and migraine in children and adolescents and to study the influence of sex, age, and region of residence on the epidemiology.
Abstract: Aim The aim of this study was to review systematically the prevalence of headache and migraine in children and adolescents and to study the influence of sex, age, and region of residence on the epidemiology. Method We systematically searched the literature in electronic databases to cover the period between 1 January 1990 and 31 December 2007. We assessed and included population-based studies on epidemiology of headache and migraine in children and adolescents if they fulfilled the following criteria: (1) reporting on unselected childhood population; (2) reliable methods of data collection using a questionnaire or face-to-face interviews; (3) using the International Headache Society’s (IHS) criteria (1988 or 2004) for the diagnosis of migraine; and (4) provision of sufficient and explicit data for analysis. We used Excel, Stata, and Confidence Interval Analysis software. Results We identified and analysed 50 population-based studies reporting the prevalence of headache and/or migraine in children and adolescents (<20y). The estimated prevalence of headache over periods between 1 month and lifetime in children and adolescents is 58.4% (95% confidence interval [CI] 58.1–58.8). Females are more likely to have headache than males (odds ratio [OR] 1.53, 95% CI 1.48–1.6). The prevalence of migraine over periods between 6 months and lifetime is 7.7% (95% CI 7.6–7.8). Females are more likely than males to have migraine (OR 1.67, 95% CI 1.60–1.75). Regional differences in prevalence of migraine, though statistically significant, may not be of clinical significance. The change in the IHS’s criteria for the diagnosis of migraine was not associated with any significant change in the prevalence of migraine. Interpretation This study confirms the global high prevalence of headache and migraine in children and adolescents. Sex, age, and regional differences are evident.

465 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented predictive models for great bustards in central Spain based on readily available advanced very high resolution radiometer (AVHRR) satellite imagery combined with mapped features in the form of geographic information system (GIS) data layers.
Abstract: Summary 1. Many species are adversely affected by human activities at large spatial scales and their conservation requires detailed information on distributions. Intensive ground surveys cannot keep pace with the rate of land-use change over large areas and new methods are needed for regional-scale mapping. 2. We present predictive models for great bustards in central Spain based on readily available advanced very high resolution radiometer (AVHRR) satellite imagery combined with mapped features in the form of geographic information system (GIS) data layers. As AVHRR imagery is coarse-grained, we used a 12-month time series to improve the definition of habitat types. The GIS data comprised measures of proximity to features likely to cause disturbance and a digital terrain model to allow for preference for certain topographies. 3. We used logistic regression to model the above data, including an autologistic term to account for spatial autocorrelation. The results from models were combined using Bayesian integration, and model performance was assessed using receiver operating characteristics plots. 4. Sites occupied by bustards had significantly lower densities of roads, buildings, railways and rivers than randomly selected survey points. Bustards also occurred within a narrower range of elevations and at locations with significantly less variable terrain. 5. Logistic regression analysis showed that roads, buildings, rivers and terrain all contributed significantly to the difference between occupied and random sites. The Bayesian integrated probability model showed an excellent agreement with the original census data and predicted suitable areas not presently occupied. 6. The great bustard’s distribution is highly fragmented and vacant habitat patches may occur for a variety of reasons, including the species’ very strong fidelity to traditional sites through conspecific attraction. This may limit recolonization of previously occupied sites. 7. We conclude that AVHRR satellite imagery and GIS data sets have potential to map distributions at large spatial scales and could be applied to other species. While models based on imagery alone can provide accurate predictions of bustard habitats at some spatial scales, terrain and human influence are also significant predictors and are needed for finer scale modelling.

465 citations


Authors

Showing all 7824 results

NameH-indexPapersCitations
Paul M. Thompson1832271146736
Alan D. Baddeley13746789497
Wolf Singer12458072591
John J. McGrath120791124804
Richard J. Simpson11385059378
David I. Perrett11035045878
Simon P. Driver10945546299
David J. Williams107206062440
Linqing Wen10741270794
John A. Raven10655544382
David Coward10340067118
Stuart J. H. Biddle10248441251
Malcolm T. McCulloch10037136914
Andrew P. Dobson9832244211
Lister Staveley-Smith9559936924
Network Information
Related Institutions (5)
University of Liverpool
94.3K papers, 3.1M citations

91% related

University of Glasgow
98.2K papers, 3.8M citations

91% related

University of Nottingham
119.6K papers, 4.2M citations

91% related

University of Bristol
113.1K papers, 4.9M citations

90% related

Cardiff University
82.6K papers, 3M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202357
2022175
20211,041
20201,054
2019916
2018903