Document - Classifying degrees of species commonness: North Sea fish as a case study

2015

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Classifying degrees of species commonness: North Sea fish as a case study

Coro G., Webb T. J., Appeltans W., Bailly N., Cattrijsse A., Pagano P.

Conservation biology D4Science OBIS North Sea Clustering Ecological Modeling Species Commonness Digital Libraries

Species commonness is often related to abundance and species conservation status. Intuitively, a "common species" is a species that is abundant in a certain area, widespread and at low risk of extinction. Analysing and classifying species commonness can help discovering indicators of ecosystem status and can prevent sudden changes in biodiversity. However, it is challenging to quantitatively define this concept. This paper presents a procedure to automatically characterize species commonness from biological surveys. Our approach uses clustering analysis techniques and is based on a number of numerical parameters extracted from an authoritative source of biodiversity data, i.e. the Ocean Biogeographic Information System. The analysis takes into account abundance, geographical and temporal aspects of species distributions. We apply our model to North Sea sh species and show that the classication agrees with independent expert opinion although sampling biases aect the data. Furthermore, we show that our approach is robust to noise in the data and is promising in classifying new species. Our method can be used in conservation biology, especially to reduce the effects of the sampling biases which affect large biodiversity collections.

Source: Ecological modelling 312 (2015): 272–280. doi:10.1016/j.ecolmodel.2015.05.033

Publisher: Elsevier, Shannon ;, Paesi Bassi

Citations

[2] D. Mouillot, D. R. Bellwood, C. Baraloto, J. Chave, R. Galzin, M. Harmelin-Vivien, M. Kulbicki, S. Lavergne, S. Lavorel, N. Mouquet, et al., Rare species support vulnerable functions in high-diversity ecosystems, PLoS biology 11 (5) (2013) e1001569.
[3] X. Mi, N. G. Swenson, R. Valencia, W. J. Kress, D. L. Erickson, A. J. PØrez, H. Ren, S.-H. Su, N. Gunatilleke, S. Gunatilleke, et al., The contribution of rare species to community phylogenetic diversity across a global network of forest plots, The American Naturalist 180 (1) (2012) E17E30.
[4] K. J. Gaston, R. A. Fuller, Commonness, population depletion and conservation biology, Trends in Ecology & Evolution 23 (1) (2008) 1419.
[5] K. J. Gaston, Valuing Common Species, Science 327 (5962) (2010) 154 155. doi:10.1126/science.1182818. URL http://dx.doi.org/10.1126/science.1182818
[6] K. J. Gaston, Common ecology, Bioscience 61 (5) (2011) 354362.
[7] F. S. Chapin III, E. S. Zavaleta, V. T. Eviner, R. L. Naylor, P. M. Vitousek, H. L. Reynolds, D. U. Hooper, S. Lavorel, O. E. Sala, S. E. Hobbie, et al., Consequences of changing biodiversity, Nature 405 (6783) (2000) 234242.
[8] J. T. Kerr, H. M. Kharouba, D. J. Currie, The macroecological contribution to global change solutions, Science 316 (5831) (2007) 15811584.
[9] M. Dornelas, N. J. Gotelli, B. McGill, H. Shimadzu, F. Moyes, C. Sievers, A. E. Magurran, Assemblage time series reveal biodiversity change but not systematic loss, Science 344 (6181) (2014) 296299.

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BibTeX entry

@article{oai:it.cnr:prodotti:331988,
	title = {Classifying degrees of species commonness: North Sea fish as a case study},
	author = {Coro G. and Webb T.  J. and Appeltans W. and Bailly N. and Cattrijsse A. and Pagano P.},
	publisher = {Elsevier, Shannon ;, Paesi Bassi},
	doi = {10.1016/j.ecolmodel.2015.05.033},
	journal = {Ecological modelling},
	volume = {312},
	pages = {272–280},
	year = {2015}
}