Advanced search
1 file | 6.47 MB

Small-scale spatial patterns of meiobenthos in the Arctic deep sea

(2009) MARINE BIODIVERSITY. 39(1). p.9-25
Author
Organization
Abstract
A variety of analytical techniques were used to quantify and describe small-scale (centimetre to decimetre) spatial patterns of meiofauna taxa, with emphasis on nematode species, at a bathyal site in the Arctic deep sea. Three cores (10-cm diameter) taken from the same multicorer were each subsampled as 12 contiguous subcores (1.2-cm diameter) for meiofauna and 16 contiguous subcores (0.9-cm diameter) for bacteria (eight subcores) and phytodetritus (chl a and phaeopigment concentration) (eight subcores). Coefficients of variation and the variance component from PERMANOVA were estimated to compare variability between cores (20-50 cm) versus within cores (510 cm). Both methods showed that spatial variation within cores contributed the main part of total heterogeneity for all parameters, while differences between cores were less important. To further investigate distribution patterns at this small scale (510 cm), indices of dispersion were calculated and autocol~elation analyses were performed on the complete data set. Abundances of nematodes, nauplii and 65.5% of the nematode species were significantly aggregated at the scale of subcores (2 cm). Nematode species aggregations were discordant on the small scale, suggesting that processes maintaining diversity in the deep sea can be expected to operate at scales smaller than 10 cm. Autocorrelograms suggested that nematode patch sizes were smaller than 4 cm2, while adult harpacticoid copepods and nauplii showed aggregations of ca. 9-25 cm2 and 64 cm2, respectively. Significant spatial autocorrelation at the core scale was also observed for 24 nematode species. These species were grouped in ten different spatial patterns according to their scale of heterogeneity. The spatial patterns observed for the meiobenthos were neither explained by the concentration of chloroplastic pigments nor by bacterial densities. Nevertheless, observations on nematode morphology suggest that morphological characters linked to their locomotion and feeding behaviour may be involved in pattern formation. Finally, our data provide evidence that studies based on few replicates to characterise large-scale or long-term patterns of deep-sea benthic communities may be confounded by inadequate assessment of small-scale variability.
Keywords
Autocorrelogram, Deep-sea diversity, Nematodes, Meiofauna, Spatial distribution, Small-scale heterogeneity

Downloads

    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 6.47 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Gallucci, Fabiane, Tom Moens, and Gustavo Fonseca. 2009. “Small-scale Spatial Patterns of Meiobenthos in the Arctic Deep Sea.” Marine Biodiversity 39 (1): 9–25.
APA
Gallucci, F., Moens, T., & Fonseca, G. (2009). Small-scale spatial patterns of meiobenthos in the Arctic deep sea. MARINE BIODIVERSITY, 39(1), 9–25.
Vancouver
1.
Gallucci F, Moens T, Fonseca G. Small-scale spatial patterns of meiobenthos in the Arctic deep sea. MARINE BIODIVERSITY. 2009;39(1):9–25.
MLA
Gallucci, Fabiane, Tom Moens, and Gustavo Fonseca. “Small-scale Spatial Patterns of Meiobenthos in the Arctic Deep Sea.” MARINE BIODIVERSITY 39.1 (2009): 9–25. Print.
@article{1176583,
  abstract     = {A variety of analytical techniques were used to quantify and describe small-scale (centimetre to decimetre) spatial patterns of meiofauna taxa, with emphasis on nematode species, at a bathyal site in the Arctic deep sea. Three cores (10-cm diameter) taken from the same multicorer were each subsampled as 12 contiguous subcores (1.2-cm diameter) for meiofauna and 16 contiguous subcores (0.9-cm diameter) for bacteria (eight subcores) and phytodetritus (chl a and phaeopigment concentration) (eight subcores). Coefficients of variation and the variance component from PERMANOVA were estimated to compare variability between cores (20-50 cm) versus within cores (510 cm). Both methods showed that spatial variation within cores contributed the main part of total heterogeneity for all parameters, while differences between cores were less important. To further investigate distribution patterns at this small scale (510 cm), indices of dispersion were calculated and autocol{\texttildelow}elation analyses were performed on the complete data set. Abundances of nematodes, nauplii and 65.5\% of the nematode species were significantly aggregated at the scale of subcores (2 cm). Nematode species aggregations were discordant on the small scale, suggesting that processes maintaining diversity in the deep sea can be expected to operate at scales smaller than 10 cm. Autocorrelograms suggested that nematode patch sizes
were smaller than 4 cm2, while adult harpacticoid copepods
and nauplii showed aggregations of ca. 9-25 cm2 and
64 cm2, respectively. Significant spatial autocorrelation at
the core scale was also observed for 24 nematode species. These species were grouped in ten different spatial patterns according to their scale of heterogeneity. The spatial patterns observed for the meiobenthos were neither explained by the concentration of chloroplastic pigments nor by bacterial densities. Nevertheless, observations on nematode morphology suggest that morphological characters linked to their locomotion and feeding behaviour may be involved in pattern formation. Finally, our data provide evidence that studies based on few replicates to characterise large-scale or long-term patterns of deep-sea benthic communities may be confounded by inadequate assessment of small-scale variability.},
  author       = {Gallucci, Fabiane and Moens, Tom and Fonseca, Gustavo},
  issn         = {1867-1616},
  journal      = {MARINE BIODIVERSITY},
  keyword      = {Autocorrelogram,Deep-sea diversity,Nematodes,Meiofauna,Spatial distribution,Small-scale heterogeneity},
  language     = {eng},
  number       = {1},
  pages        = {9--25},
  title        = {Small-scale spatial patterns of meiobenthos in the Arctic deep sea},
  url          = {http://dx.doi.org/10.1007/s12526-009-0003-x},
  volume       = {39},
  year         = {2009},
}

Altmetric
View in Altmetric