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Mapping nematode diversity in the Southern Bight of the North Sea

Bea Merckx UGent, Marc Van Meirvenne UGent, Maaike Steyaert, Ann Vanreusel UGent, Magda Vincx UGent and Jan Vanaverbeke UGent (2010) MARINE ECOLOGY-PROGRESS SERIES. 406. p.135-145
abstract
In order to protect the biodiversity of the seas from, e.g., overexploitation, the spatial distribution of biodiversity and the mapping of biodiversity hotspots are of great importance. In the present paper we discuss different methods to develop full coverage biodiversity maps of free-living marine nematodes in the Southern Bight of the North Sea. A database with sampling data, gathered over 3 decades (1972 to 2004), combined with exhaustive environmental data, was employed to predict species richness and the expected number of species by different methods: ordinary kriging (OK) and regression kriging (RK) with ordinary least squares (OLS) and generalised least squares (GLS). The predictive value of these methods was evaluated by an independent validation set. Replicate samples were used to make an accurate estimation of the nugget variance, since replicates reveal local variability. Accordingly, it was feasible to find a spatial pattern in the residuals of the regression models. Our analysis pointed out that GLS improved the OK models substantially, while RK only slightly improved the GLS model. The diversity of marine nematodes is substantially influenced by the silt-clay fraction and the amount of total suspended matter, which is also reflected in the resulting map with a species-poor area near the coast line, especially near the south of the mouth of the Scheldt estuary. Off coast diversity and evenness are generally higher.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Generalised least squares, Mapping, DISTRIBUTION PATTERNS, VERTICAL-DISTRIBUTION, SPECIES-DIVERSITY, MARINE NEMATODES, COMMUNITIES, GEOSTATISTICS, DISTRIBUTIONS, ASSEMBLAGES, MEIOBENTHOS, MEIOFAUNA, Nematode diversity, Geostatistics, North Sea
journal title
MARINE ECOLOGY-PROGRESS SERIES
Mar. Ecol.-Prog. Ser.
volume
406
pages
135 - 145
Web of Science type
Article
Web of Science id
000278441200011
JCR category
MARINE & FRESHWATER BIOLOGY
JCR impact factor
2.483 (2010)
JCR rank
12/92 (2010)
JCR quartile
1 (2010)
ISSN
0171-8630
DOI
10.3354/meps08531
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
999201
handle
http://hdl.handle.net/1854/LU-999201
date created
2010-07-01 07:41:33
date last changed
2010-08-09 14:10:16
@article{999201,
  abstract     = {In order to protect the biodiversity of the seas from, e.g., overexploitation, the spatial distribution of biodiversity and the mapping of biodiversity hotspots are of great importance. In the present paper we discuss different methods to develop full coverage biodiversity maps of free-living marine nematodes in the Southern Bight of the North Sea. A database with sampling data, gathered over 3 decades (1972 to 2004), combined with exhaustive environmental data, was employed to predict species richness and the expected number of species by different methods: ordinary kriging (OK) and regression kriging (RK) with ordinary least squares (OLS) and generalised least squares (GLS). The predictive value of these methods was evaluated by an independent validation set. Replicate samples were used to make an accurate estimation of the nugget variance, since replicates reveal local variability. Accordingly, it was feasible to find a spatial pattern in the residuals of the regression models. Our analysis pointed out that GLS improved the OK models substantially, while RK only slightly improved the GLS model. The diversity of marine nematodes is substantially influenced by the silt-clay fraction and the amount of total suspended matter, which is also reflected in the resulting map with a species-poor area near the coast line, especially near the south of the mouth of the Scheldt estuary. Off coast diversity and evenness are generally higher.},
  author       = {Merckx, Bea and Van Meirvenne, Marc and Steyaert, Maaike  and Vanreusel, Ann and Vincx, Magda and Vanaverbeke, Jan},
  issn         = {0171-8630},
  journal      = {MARINE ECOLOGY-PROGRESS SERIES},
  keyword      = {Generalised least squares,Mapping,DISTRIBUTION PATTERNS,VERTICAL-DISTRIBUTION,SPECIES-DIVERSITY,MARINE NEMATODES,COMMUNITIES,GEOSTATISTICS,DISTRIBUTIONS,ASSEMBLAGES,MEIOBENTHOS,MEIOFAUNA,Nematode diversity,Geostatistics,North Sea},
  language     = {eng},
  pages        = {135--145},
  title        = {Mapping nematode diversity in the Southern Bight of the North Sea},
  url          = {http://dx.doi.org/10.3354/meps08531},
  volume       = {406},
  year         = {2010},
}

Chicago
Merckx, Bea, Marc Van Meirvenne, Maaike Steyaert, Ann Vanreusel, Magda Vincx, and Jan Vanaverbeke. 2010. “Mapping Nematode Diversity in the Southern Bight of the North Sea.” Marine Ecology-progress Series 406: 135–145.
APA
Merckx, B., Van Meirvenne, M., Steyaert, M., Vanreusel, A., Vincx, M., & Vanaverbeke, J. (2010). Mapping nematode diversity in the Southern Bight of the North Sea. MARINE ECOLOGY-PROGRESS SERIES, 406, 135–145.
Vancouver
1.
Merckx B, Van Meirvenne M, Steyaert M, Vanreusel A, Vincx M, Vanaverbeke J. Mapping nematode diversity in the Southern Bight of the North Sea. MARINE ECOLOGY-PROGRESS SERIES. 2010;406:135–45.
MLA
Merckx, Bea, Marc Van Meirvenne, Maaike Steyaert, et al. “Mapping Nematode Diversity in the Southern Bight of the North Sea.” MARINE ECOLOGY-PROGRESS SERIES 406 (2010): 135–145. Print.