1,215 research outputs found
Competition, coexistence and diversity on rocky shores
The question "Why are there so many species?" has puzzled ecologist for a long time. Initially, an academic question, it has gained practical interest by the recent awareness of global biodiversity loss. Species diversity in local ecosystems has always been discussed in relation to the problem of competi tive exclusion and the apparent contradiction between the competitive exclu sion principle and the overwhelming richness of species found in nature. Competition as a mechanism structuring ecological communities has never been uncontroversial. Not only its importance but even its existence have been debated. On the one extreme, some ecologists have taken competi tion for granted and have used it as an explanation by default if the distribu tion of a species was more restricted than could be explained by physiology and dispersal history. For decades, competition has been a core mechanism behind popular concepts like ecological niche, succession, limiting similarity, and character displacement, among others. For some, competition has almost become synonymous with the Darwinian "struggle for existence", although simple plausibility should tell us that organisms have to struggle against much more than competitors, e.g. predators, parasites, pathogens, and envi ronmental harshness
Synthesis: Back to Santa Rosalia, or No Wonder There Are So Many Species
Modern competition research started with G.E. Hutchinson’s, Homage to Santa Rosalia, and his now-famous question “why are there so many species?” (Hutchinson 1959,1961). This confronted observed species richness with the competitive exclusion principle, a principle that had been derived from theory and from highly artificial experiments. It would always have been easy to point at the “artificial” character of the competitive exclusion principle. Indeed many researchers have refused to deal with Hutchinson’s question because they considered it a pseudo-problem, which arose from a contradiction between overly simplified theory and complicated reality. However, those who took Hutchinson’s challenge seriously have gained fundamental insights into how competition plays out in nature, how species coexist, and how communities function. In this final chapter we attempt to synthesize these insights as they have been presented in this book. We focus on six key topics:
- Identification of major trade-off axes (Sect. 8.1)
- Confirmation of the “intermediate disturbance hypothesis”, and detection of interactions among competition, resource supply, predation and disturbance in field experiments (Sect. 8.2)
- The interplay of space colonization, dispersal and neighborhood competition in sessile communities (Sect. 8.3)
- Potential for chaotic, self-generated heterogeneity in communities (Sect. 8.4)
- Role of exclusive resources in competition among mobile animals (Sect. 8.5)
- Coexistence by slow exclusion (Sect. 8.6
A theory of global biodiversity Monographs in population biology./ Boris Worm and Derek P. Tittensor.
Includes bibliographical references and index.1 online resource
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Worm Algorithm for Problems of Quantum and Classical Statistics
This is the pre-published version harvested from ArXiv.This is a chapter of the multi-author book “Understanding Quantum Phase Transitions,” edited by Lincoln Carr and published by Taylor & Francis. In this chapter, we give a general introduction to the worm algorithm and present important results highlighting the power of the approach
Time series to accompany, "Top-down and bottom-up forces interact at thermal range extremes on American lobster".
<p>Data file (.csv) to accompany,"Top-down and bottom-up forces interact at thermal range extremes on American lobster", Figure 2, under review with the Journal of Animal Ecology.</p>
<p>Authors: Stephanie A. Boudreau (a) ([email protected]), Sean C. Anderson (b), Boris Worm (a)</p>
<p>Addresses: (a) Department of Biology, Dalhousie University, 1355 Oxford Street, P.O. Box 15000, Halifax, Nova Scotia, B3H 4R2, Canada (b) Department of Biological Sciences, Simon Fraser University, Burnaby British Columbia, V5A 1S6, Canada</p>
<p>The data in this study are from pre-existing datasets which were collated, but not created, by the authors.</p
Unititled [worm heads]
Cover for Untitled [worm heads], from the RISD Library Zine Collection.https://digitalcommons.risd.edu/specialcollections_zinecollection/2011/thumbnail.jp
EFFECTIVENESS OF DRY PAPAYA SEEDS POWDER ON WORM INFESTATION AMONG CHILDREN
Abstract: Background & Objectives: Worm infestation is one of the common health problems, existing world- wide, especially in children. Children are the wealth of the nation, the children of today are the adults of tomorrow, they deserve to inherit a safer, fairer and healthier world. The present study aims to assess the effectiveness of dry papaya seeds powder on worm infestation among children
Materials and methods: Quantitative Research with Pre-Experimental Research Design using a one-group pre-test post-test design among children. Data collection was done in Kondancherry Village, for a period of 1 week with sample size of 60 by non-probability convenient sampling. Demographic variables and pretest was conducted with the symptoms of worm infestation by observational checklist. Stool examination was done to check ova/ cyst positive cases. The oval cyst positive cases was papaya seeds powder was given for seven days in the empty stomach every morning. Post-test observational rating scale and stool examination was done to evaluate the effectiveness of papaya seeds powder on worm infestation after a week. The data were collected and analyzed by using descriptive and inferential statistics
Results: The pretest mean score of worm infestation was 12.40±3.55 and the post test mean score was 5.83±3.16. The mean difference score was 6.57. before and after administration of papaya seeds powder approach are highly statistically significant at P≤0.05.
Conclusion: The present study assessed the effectiveness of dry papaya seeds powder on worm infestation among children. Based on statistical findings, it is evident that air dried papaya seeds given as elixir with honey significantly reduced intestinal parasites and reduced the magnitude of worm infestation among children
Keywords: Dry Papaya Seeds Powder, Worm Infestation, Observational rating scale.
Title: EFFECTIVENESS OF DRY PAPAYA SEEDS POWDER ON WORM INFESTATION AMONG CHILDREN
Author: Priyadarsini.A, Kingsly.J, Mohanapriya.M.
International Journal of Healthcare Sciences
ISSN 2348-5728 (Online)
Vol. 10, Issue 2, October 2022 - March 2023
Page No: 93-99
Research Publish Journals
Website: www.researchpublish.com
Published Date: 31-October-2022
DOI: https://doi.org/10.5281/zenodo.7267323
Paper Download Link (Source)
https://www.researchpublish.com/papers/effectiveness-of-dry-papaya-seeds-powder-on-worm-infestation-among-childrenInternational Journal of Healthcare Sciences, ISSN 2348-5728 (Online), Research Publish Journals, Website: www.researchpublish.co
Worm predation on excess activated sludge: Solids reduction capabilities and biochemical changes
Aerobic, anaerobic and worm predated sequential batch digestion experiments were performed on waste activated sludge in order to compare the mechanisms and performances of these three digestion processes. The Tubifex Tubifex specie was chosen to simulate the worm predation process
Worm Algorithms for Classical Statistical Models
This is the pre-published version harvested from ArXiv. The published version is located at http://prl.aps.org/abstract/PRL/v87/i16/e160601We show that high-temperature expansions provide a basis for the novel approach to efficient Monte Carlo simulations. “Worm” algorithms utilize the idea of updating closed-path configurations (produced by high-temperature expansions) through the motion of end points of a disconnected path. An amazing result is that local, Metropolis-type schemes using this approach appear to have dynamical critical exponents close to zero (i.e., their efficiency is comparable to the best cluster methods) as proved by finite-size scaling of the autocorrelation time for various universality classes
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