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Distribution by Scientific Domains

Humanities and Social Sciences	40%

Selected Abstracts

Understanding fish habitat ecology to achieve conservation,

JOURNAL OF FISH BIOLOGY, Issue 2005
J. C. Rice
Habitat science can provide the unifying concepts to bring together ecological studies of physiological tolerances, predator avoidance, foraging and feeding, reproduction and life histories. Its unifying role is built on two assumptions, imported from terrestrial habitat science and not always stated explicitly: that competition is present interspecifically and intraspecifically under at least some conditions, and that habitat features have some persistence and predictability in space and time. Consistent with its central conceptual position in ecology, habitat science has contributed importantly to scientific advice on pollution, coastal zone management and many other areas of environmental quality, although it has been largely divorced from developments in fish populations dynamics done in support of fisheries management. Commitments by most management agencies to apply an integrated, ecosystem approach to management of human activities in marine systems, poses new challenges to marine science advisors to management. Integrated management and ecosystem approaches both inherently require spatial thinking and spatial tools, making habitat science a particularly relevant advisory framework, particularly because of the unifying role of habitat in ecology. The basic mechanisms behind ocean biological dynamics, productivity, concentration and retention, however, present much weaker opportunities for competition and less persistence and predictability, weakening the foundations of theory and concepts behind current habitat science. The paper highlights the new types of thinking about ,habitat' that will be required, if habitat science is to meet the advisory needs of the new approaches to management. [source]

Minority Languages, Nationalism and Broadcasting: The British and Irish Examples

NATIONS AND NATIONALISM, Issue 3 2000
Mike Cormack
This paper examines the relationship between nationalist movements and minority languages, with particular emphasis on examples from Britain and Ireland. This relationship is less straightforward than often assumed, and the media's role in it is particularly complex. The varying political uses of minority language broadcasting are discussed, along with the implications of the separation between cultural and political nationalism. The notion of the routine banality of daily broadcasting is used to indicate how such broadcasting can work against nationalist mobilisation. Finally, Ireland is examined in the light of the previous discussion in order to offer an explanation of why it was so far behind many other areas in the provision of minority language broadcasting. [source]

Timothy growth in Scandinavia: combining quantitative information and simulation modelling

NEW PHYTOLOGIST, Issue 2 2001
M. Höglind
Summary Timothy (Phleum pratense) is the most widely grown sown grass species for silage and hay production in the Nordic countries; it is also common in many other areas with a cold maritime climate. Research on timothy has identified many environmental factors and plant characteristics that determine timothy growth. However, much of the literature that analyses timothy growth presents only qualitative estimates of the importance of the different growth-determining factors. Here we present a review of quantitative information on timothy. Moreover, we analyse to what extent this quantitative information is sufficient to permit the construction of a simple process-based model of timothy growth. We then use such a model to identify the major growth-determining factors. Simulations with the model showed that the major processes to be elucidated in future research on timothy are tillering dynamics and the formation and loss of leaves from tillers. We conclude that a combination of literature review and analysis by means of simulation modelling, such as we attempted here, is an effective approach to identify and prioritize research goals. [source]

Anomalous Experiences Reported by Field Anthropologists: Evaluating Theories Regarding Religion

ANTHROPOLOGY OF CONSCIOUSNESS, Issue 2 2002
James McClenon Ph.D.
Content analysis of published accounts of 40 anomalous experiences reported by anthropologists allows qualitative evaluationof elements within evolutionary theories pertaining to religion . The analysis supports findings from previous studies indicating that certain anomalous experienceshave cross-culturally consistent features. Narrative and structural features within the anthropologists' accounts coincide with those gathered in northeastern North Carolina and many other areas. The data also reveal the capacity of these episodes to transform belief, supporting an experiential source theory regarding faith in spirits, souls, life after death, and magical abilities. The narratives indicate that anomalous perceptions cause some anthropologists to consider novel theories. This study supports evolutionary explanations for the origin of religion and provides predictions regarding research directions in anthropology. [source]

Survival Analysis in Clinical Trials: Past Developments and Future Directions

BIOMETRICS, Issue 4 2000
Thomas R. Fleming
Summary. The field of survival analysis emerged in the 20th century and experienced tremendous growth during the latter half of the century. The developments in this field that have had the most profound impact on clinical trials are the Kaplan-Meier (1958, Journal of the American Statistical Association53, 457,481) method for estimating the survival function, the log-rank statistic (Mantel, 1966, Cancer Chemotherapy Report50, 163,170) for comparing two survival distributions, and the Cox (1972, Journal of the Royal Statistical Society, Series B34, 187,220) proportional hazards model for quantifying the effects of covariates on the survival time. The counting-process martingale theory pioneered by Aalen (1975, Statistical inference for a family of counting processes, Ph.D. dissertation, University of California, Berkeley) provides a unified framework for studying the small- and large-sample properties of survival analysis statistics. Significant progress has been achieved and further developments are expected in many other areas, including the accelerated failure time model, multivariate failure time data, interval-censored data, dependent censoring, dynamic treatment regimes and causal inference, joint modeling of failure time and longitudinal data, and Baysian methods. [source]