Population Approach in Ecotoxicology (Stress Ecology)
DOI:
https://doi.org/10.5132/eec.2013.01.011Keywords:
Ecotoxicology, Population Models, Hurst Exponent, Time series analysisAbstract
Several lines of evidence suggest that the effects of stressors on populations can be calculated accurately by population modeling. Using monitoring data of natural population, population models were applied and the possibility of establishing environmental diagnoses from strictly ecological concepts is discussed. A procedure is offered for the modeling of natural population data and the establishment of population endpoints.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2013 Ecotoxicology and Environmental Contamination
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright © 2006 ECOTOX-Brasil
Copyright notice: It is a condition for publication that manuscripts submitted to this journal have not yet been published and will not be simultaneously submitted or published elsewhere. By submitting a manuscript, the authors agree that copyright for their article is transferred to the Sociedade Brasileira de Ecotoxicologia (ECOTOX-Brasil) if and when the article is accepted for publication. The copyright covers the exclusive rights to reproduce and distribute articles, including reprints, photographic reproductions or any other reproduction of a similar nature, including translations. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without permission of the publisher.
Notice: While every effort is made by the EEC, editors and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that the contents of the articles and advertisements published herein are the sole responsibility of the contributors or advertisers concerned. Accordingly, the EEC, the editorial board and editors and their respective employees, officers and agents accept no responsibility or liability whatsoever for the consequences of any inaccurate or misleading data, opinion or statement.
