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Ecology of fish community:  niche modeling based on fish  morphological parameters
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Ecology of fish community:  niche modeling based on fish  morphological parameters

Ecology of fish community: niche modeling based on fish morphological parameters

Xinhui Li, Zini Lai, Yumian Yu

Parution le 21/12/2023

Résumé

This book introduces a monograph deconstructing morphological model of river fish communities. It provides a new method and develops morphological modeling, software analysis, and applications for studies of fish community niches. Over long-term evolution, fish interactions with their environment can result in the formation of new species, the exploitation of various ecological niches, and the development of species communities. Although the organisms in the ancient fish can be recognized through their fossils, the niche composition of fish communities 200 years ago remains unknown. The lack of data on the evolution of ecosystem structure and function become an obstacle in the studies of ecology. The purpose of this book is to establish a systematic method for determining niches based on species morphology and the morphological characters of fish communities, as well as to discuss the niche composition of community species through historical records of "qualitative" species. This book attempts to provide a method to clarify community species structure in a given ecosystem and to establish a standard for evaluating ecosystem changes based on community species structure. This book provides a community structure reference system for river ecosystem assessment and restoration based on natural attributes. Using fish morphological data, we established a model for fish community studies based on morphological characters. This book also examines the relationships between fish species in communities from the perspective of ecological niches, and it attempts to establish a fish community research tool for the ecological restoration of rivers.

Caractéristiques techniques

  NUMERIQUE
Éditeur(s) Edp Sciences
Auteur(s) Xinhui Li, Zini Lai, Yumian Yu
Parution 21/12/2023
Contenu PDF
EAN13 9782759831159

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