Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China

Considering the constraint of cost in conserving biodiversity, conservation resources need to be primarily allocated to keystone species. The structure and interaction of strength of the food web determine the stability of the network, and the keystone species is key node for the stable food web. In...

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Autores principales:	Minyan Xing, Qiang Wang, Xingchun Li, Yike Li, Xuehong Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Food chain Indicator species Complex network centrality Diet proportion Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6f5d2c0a42ef42b6a5584d69bf7945e3
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id	oai:doaj.org-article:6f5d2c0a42ef42b6a5584d69bf7945e3
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spelling	oai:doaj.org-article:6f5d2c0a42ef42b6a5584d69bf7945e32021-12-01T05:01:35ZSelection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China1470-160X10.1016/j.ecolind.2021.108263https://doaj.org/article/6f5d2c0a42ef42b6a5584d69bf7945e32021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009286https://doaj.org/toc/1470-160XConsidering the constraint of cost in conserving biodiversity, conservation resources need to be primarily allocated to keystone species. The structure and interaction of strength of the food web determine the stability of the network, and the keystone species is key node for the stable food web. In this research, starting with constructing a diet proportion food web structure model on the shore of Xingkai Lake quantitatively based on carbon and nitrogen stable isotopes. We calculated the feeding ratio between species and used it as the link weight, combined with the complex network centrality theory. Afterwards, we identified the keystone species in the diet proportion food web by calculating the degree centrality, closeness centrality, betweenness centrality and PageRank centrality of each node in the network. We have found that the link weight is the key factor affecting the identification of keystone species. Besides, Chinese white prawn has been identified as the keystone species in the typical food web of the shore of Xingkai Lake shown from the perspective of the food web structure and the results of the four centrality indices. This article is of great significance to identify the keystone species in the food web from a holistic perspective quantitatively, further clarify the conservation goals, and reduce conservation costs under the impact of the global COVID-19 epidemic, so as to conserve biodiversity accurately and effectively.Minyan XingQiang WangXingchun LiYike LiXuehong ZhouElsevierarticleFood chainIndicator speciesComplex network centralityDiet proportionEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108263- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Food chain Indicator species Complex network centrality Diet proportion Ecology QH540-549.5
spellingShingle	Food chain Indicator species Complex network centrality Diet proportion Ecology QH540-549.5 Minyan Xing Qiang Wang Xingchun Li Yike Li Xuehong Zhou Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China
description	Considering the constraint of cost in conserving biodiversity, conservation resources need to be primarily allocated to keystone species. The structure and interaction of strength of the food web determine the stability of the network, and the keystone species is key node for the stable food web. In this research, starting with constructing a diet proportion food web structure model on the shore of Xingkai Lake quantitatively based on carbon and nitrogen stable isotopes. We calculated the feeding ratio between species and used it as the link weight, combined with the complex network centrality theory. Afterwards, we identified the keystone species in the diet proportion food web by calculating the degree centrality, closeness centrality, betweenness centrality and PageRank centrality of each node in the network. We have found that the link weight is the key factor affecting the identification of keystone species. Besides, Chinese white prawn has been identified as the keystone species in the typical food web of the shore of Xingkai Lake shown from the perspective of the food web structure and the results of the four centrality indices. This article is of great significance to identify the keystone species in the food web from a holistic perspective quantitatively, further clarify the conservation goals, and reduce conservation costs under the impact of the global COVID-19 epidemic, so as to conserve biodiversity accurately and effectively.
format	article
author	Minyan Xing Qiang Wang Xingchun Li Yike Li Xuehong Zhou
author_facet	Minyan Xing Qiang Wang Xingchun Li Yike Li Xuehong Zhou
author_sort	Minyan Xing
title	Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China
title_short	Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China
title_full	Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China
title_fullStr	Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China
title_full_unstemmed	Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China
title_sort	selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of xingkai lake, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/6f5d2c0a42ef42b6a5584d69bf7945e3
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Selection of keystone species based on stable carbon and nitrogen isotopes to construct a typical food web on the shore of Xingkai Lake, China

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