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Coding Early Naturalists' Accounts into Long-Term Fish Community Changes in the Adriatic Sea (1800–2000)

Overview of attention for article published in PLOS ONE, November 2010
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Title
Coding Early Naturalists' Accounts into Long-Term Fish Community Changes in the Adriatic Sea (1800–2000)
Published in
PLOS ONE, November 2010
DOI 10.1371/journal.pone.0015502
Pubmed ID
Authors

Tomaso Fortibuoni, Simone Libralato, Saša Raicevich, Otello Giovanardi, Cosimo Solidoro

Abstract

The understanding of fish communities' changes over the past centuries has important implications for conservation policy and marine resource management. However, reconstructing these changes is difficult because information on marine communities before the second half of the 20(th) century is, in most cases, anecdotal and merely qualitative. Therefore, historical qualitative records and modern quantitative data are not directly comparable, and their integration for long-term analyses is not straightforward. We developed a methodology that allows the coding of qualitative information provided by early naturalists into semi-quantitative information through an intercalibration with landing proportions. This approach allowed us to reconstruct and quantitatively analyze a 200-year-long time series of fish community structure indicators in the Northern Adriatic Sea (Mediterranean Sea). Our analysis provides evidence of long-term changes in fish community structure, including the decline of Chondrichthyes, large-sized and late-maturing species. This work highlights the importance of broadening the time-frame through which we look at marine ecosystem changes and provides a methodology to exploit, in a quantitative framework, historical qualitative sources. To the purpose, naturalists' eyewitness accounts proved to be useful for extending the analysis on fish community back in the past, well before the onset of field-based monitoring programs.

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Geographical breakdown

Country Count As %
Italy 3 3%
Portugal 1 <1%
Colombia 1 <1%
Ireland 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Spain 1 <1%
Other 2 2%
Unknown 105 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 36%
Student > Ph. D. Student 24 20%
Student > Master 19 16%
Student > Bachelor 7 6%
Professor 5 4%
Other 10 8%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 52%
Environmental Science 29 25%
Earth and Planetary Sciences 4 3%
Arts and Humanities 3 3%
Social Sciences 3 3%
Other 4 3%
Unknown 14 12%