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Ramon Moreno-Amich

Researcher at University of Girona

Publications -  32
Citations -  2196

Ramon Moreno-Amich is an academic researcher from University of Girona. The author has contributed to research in topics: Eutrophication & Freshwater fish. The author has an hindex of 23, co-authored 32 publications receiving 2083 citations.

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To be, or not to be, a non‐native freshwater fish?

TL;DR: In this article, the authors examine the evolving concept of what constitutes a non-native (or alien) freshwater fish and assess patterns in the development of national policy and legislation in response to the perceived threat of nonnative fish introductions to native species and ecosystems.
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Food of introduced pumpkinseed sunfish: ontogenetic diet shift and seasonal variation.

TL;DR: The pumpkinseed sunfish Lepomis gibbosus introduced into Lake Banyoles (Spain) and other Iberian populations shows less molluscivory than North American populations, and the potential ecological impact of this successful exotic species involves mainly predation on fish eggs and molluscs.
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The faunal composition of espolla pond (ne iberian peninsula): the neglected biodiversity of temporary waters

TL;DR: In this article, the faunal composition, richness, and their determinant factors were analyzed in a Mediterranean temporary pond located in NE Spain, and the aquatic community was sampled weekly over 7 periods of flooding during 4 years (1996-1999).
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Introduction of exotic fish into a Mediterranean lake over a 90-year period

TL;DR: Lake Banyoles, the second largest lake of the Iberian Peninsula, has suffered a long history of fish introductions, and the historical changes in the fish assemblage is reviewed and its current state is assessed in a field study.
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Multivariate Analysis of Covariance in Morphometric Studies of the Reproductive Cycle

TL;DR: A new approach for analysing morphometric data of reproductive cycles is proposed, involving multivariate analysis of covariance of the directly measured variables (e.g., total weight and gonadal weight), with body length being the covariate.