2022
DOI: 10.1111/tgis.12981
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Ecological indicators from spatial statistics to describe the Atlantic fangtooth moray distribution in the Mediterranean Sea

Abstract: Considering the rapid diffusion and potential impacts of invasive non‐indigenous species on biodiversity, it is crucial to investigate invasion mechanisms to identify their spread, settlement, and expansion areas. Enchelycore anatina, the Atlantic fangtooth moray of uncertain introduction pathway, recently invaded the eastern Mediterranean Sea. In the present study, specimens of E. anatina were observed in the Strait of Messina (Sicily), during 2017–2018 and records were reported. Through ecological indicators… Show more

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Cited by 6 publications
(11 citation statements)
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“…The cumulative curve of P. segnis occurrences was calculated and divided into arbitrary intervals based on the most evident slope changes, corresponding to the phases of invasion [ 7 , 19 ]; for each time interval identified, the equation of the regression line was calculated in order to obtain the different rate of occurrences increase over time.…”
Section: Methodsmentioning
confidence: 99%
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“…The cumulative curve of P. segnis occurrences was calculated and divided into arbitrary intervals based on the most evident slope changes, corresponding to the phases of invasion [ 7 , 19 ]; for each time interval identified, the equation of the regression line was calculated in order to obtain the different rate of occurrences increase over time.…”
Section: Methodsmentioning
confidence: 99%
“…According to Perzia et al [ 7 ], a series of ecological indicators were examined in order to study: the temporal pattern through the population’s increasing rate over time based on evident slope changes of the cumulative curve of all occurrences; the spatio–temporal pattern through cumulative kernel density of occurrences in order to investigate the population’s increasing rate over time and space, and the evolution of aggregation nuclei into persistent areas; the aggregation patterns and spatial structure via the spatial pattern at global scale (dispersion vs. random vs. cluster) and at local scale (hot spot, cold spot, clusters and outlier), in order to highlight the change over time, the direction of spread, the dispersion/settlement areas and outliers; the key characteristics of distribution (centre of gravity, directional dispersion and directional trends) by tracking changes in shape distribution (dispersed, compact, or elongated) over time and space and comparing the time group of occurrences with each other. …”
Section: Methodsmentioning
confidence: 99%
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