NDLI: Dissecting the distribution of brittle stars along a sewage pollution gradient indicated by organic markers.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Barboza, Carlos Alberto de Moura Martins, César C. Lana, Paulo da Cunha
Spatial Coverage	Brazil
Description	Author Affiliation: Barboza CA ( Universidade Federal do Paraná, Centro de Estudos do Mar, Av. Beira-mar, s/n, CEP, 83255-976 Paraná, Brazil); Martins CC ( Universidade Federal do Paraná, Centro de Estudos do Mar, Av. Beira-mar, s/n, CEP, 83255-976 Paraná, Brazil.); Lana Pda C ( Universidade Federal do Paraná, Centro de Estudos do Mar, Av. Beira-mar, s/n, CEP, 83255-976 Paraná, Brazil.)
Abstract	We have assessed variation in brittle star distribution patterns along a contamination gradient identified by fecal steroids and aliphatic hydrocarbons in Paranaguá Bay, southern Brazil. A hierarchical design using multiple spatial scales (centimeters-kilometers) was applied. Generalized linear mixed models (GLMMs) were used to investigate the spatial and temporal variability of brittle stars. Main principal components from the contamination and environmental matrices were used to investigate the best explanatory dataset. The abundance of brittle stars was significantly lower in sites with high concentrations of fecal steroids and aliphatic hydrocarbons. The best model fitting always included components from the contamination gradients, which precludes a purely environmental driving of brittle star abundance. Variability in spatial scales lower than kilometers was probably driven by sediment characteristics. We highlighted the importance of a robust multi-scale sampling design for a better biological indication of coastal contamination.
File Format	HTM / HTML
ISSN	0025326X
Issue Number	1
Volume Number	100
e-ISSN	18793363
Journal	Marine Pollution Bulletin
Language	English
Publisher	Elsevier
Publisher Date	2015-11-15
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Biology Echinodermata Physiology Environmental Monitoring Methods Sewage Analysis Water Pollution Animals Bays Chemistry Brazil Geologic Sediments Models, Theoretical Population Density Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Pollution Aquatic Science Oceanography

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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