Ruijing Yang , Minquan Feng , Zimeng Liu , Xuyan Wang , Zili Qu
{"title":"基于稳定同位素的定量网络视角分析关键物种","authors":"Ruijing Yang , Minquan Feng , Zimeng Liu , Xuyan Wang , Zili Qu","doi":"10.1016/j.ecocom.2024.101092","DOIUrl":null,"url":null,"abstract":"<div><p>The analysis of keystone species based on network structure has increasingly emphasized the significance of quantitative food webs. In this study, Zhangze Lake was chosen as the research subject, and assigned a weighted index to each index by creatively combined isotope techniques with topological important and uniqueness theories, then united centrality theory. Next, various scales of indices were used to examine the importance of each nutrient in the food web, the correlation between the ordering and distribution across indices, and the difference in time. This study revealed that the centrality of phytoplankton was significantly higher in April compared to July. Both of the monthly unique species in this ecosystem were planktivorous feeders, while the keystone species serving as higher consumers were identified to be <em>Exopalaemon modestus</em>. The ranking results of the indices other than the weighted closeness centrality and weighted betweenness centrality showed consistency. Additionally, the distributions of the weighted indices differed significantly from their corresponding unweighted indices, with the weighted centrality indices being more similar to the out-degree ordering and more strongly correlated in April. When only strong interactions between species were considered, there was a negative correlation found between species centrality and uniqueness. Through the quantitative construction of a diet proportion food web model, combined with multiple indices, we have provided a practical solution for holistically and quantitatively identifying key species, thus aiding in the accurate and effective protection of biodiversity.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of keystone species in a quantitative network perspective based on stable isotopes\",\"authors\":\"Ruijing Yang , Minquan Feng , Zimeng Liu , Xuyan Wang , Zili Qu\",\"doi\":\"10.1016/j.ecocom.2024.101092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The analysis of keystone species based on network structure has increasingly emphasized the significance of quantitative food webs. In this study, Zhangze Lake was chosen as the research subject, and assigned a weighted index to each index by creatively combined isotope techniques with topological important and uniqueness theories, then united centrality theory. Next, various scales of indices were used to examine the importance of each nutrient in the food web, the correlation between the ordering and distribution across indices, and the difference in time. This study revealed that the centrality of phytoplankton was significantly higher in April compared to July. Both of the monthly unique species in this ecosystem were planktivorous feeders, while the keystone species serving as higher consumers were identified to be <em>Exopalaemon modestus</em>. The ranking results of the indices other than the weighted closeness centrality and weighted betweenness centrality showed consistency. Additionally, the distributions of the weighted indices differed significantly from their corresponding unweighted indices, with the weighted centrality indices being more similar to the out-degree ordering and more strongly correlated in April. When only strong interactions between species were considered, there was a negative correlation found between species centrality and uniqueness. Through the quantitative construction of a diet proportion food web model, combined with multiple indices, we have provided a practical solution for holistically and quantitatively identifying key species, thus aiding in the accurate and effective protection of biodiversity.</p></div>\",\"PeriodicalId\":50559,\"journal\":{\"name\":\"Ecological Complexity\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Complexity\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1476945X24000205\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Complexity","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476945X24000205","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Analysis of keystone species in a quantitative network perspective based on stable isotopes
The analysis of keystone species based on network structure has increasingly emphasized the significance of quantitative food webs. In this study, Zhangze Lake was chosen as the research subject, and assigned a weighted index to each index by creatively combined isotope techniques with topological important and uniqueness theories, then united centrality theory. Next, various scales of indices were used to examine the importance of each nutrient in the food web, the correlation between the ordering and distribution across indices, and the difference in time. This study revealed that the centrality of phytoplankton was significantly higher in April compared to July. Both of the monthly unique species in this ecosystem were planktivorous feeders, while the keystone species serving as higher consumers were identified to be Exopalaemon modestus. The ranking results of the indices other than the weighted closeness centrality and weighted betweenness centrality showed consistency. Additionally, the distributions of the weighted indices differed significantly from their corresponding unweighted indices, with the weighted centrality indices being more similar to the out-degree ordering and more strongly correlated in April. When only strong interactions between species were considered, there was a negative correlation found between species centrality and uniqueness. Through the quantitative construction of a diet proportion food web model, combined with multiple indices, we have provided a practical solution for holistically and quantitatively identifying key species, thus aiding in the accurate and effective protection of biodiversity.
期刊介绍:
Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales.
Ecological Complexity will publish research into the following areas:
• All aspects of biocomplexity in the environment and theoretical ecology
• Ecosystems and biospheres as complex adaptive systems
• Self-organization of spatially extended ecosystems
• Emergent properties and structures of complex ecosystems
• Ecological pattern formation in space and time
• The role of biophysical constraints and evolutionary attractors on species assemblages
• Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory
• Ecological topology and networks
• Studies towards an ecology of complex systems
• Complex systems approaches for the study of dynamic human-environment interactions
• Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change
• New tools and methods for studying ecological complexity