Suhang Wei , Junjie Zhong , Songyin Qiu , Xiaodong Sun , Mingjie Pan , Yingying Lin , Qin Chen , Bing Niu
{"title":"Spatiotemporal analysis of illegal Coilia nasus fishing linked to suitable habitats modeled with MaxEnt in China","authors":"Suhang Wei , Junjie Zhong , Songyin Qiu , Xiaodong Sun , Mingjie Pan , Yingying Lin , Qin Chen , Bing Niu","doi":"10.1016/j.jnc.2025.126886","DOIUrl":null,"url":null,"abstract":"<div><div><em>Coilia nasus</em> is an endangered freshwater fish in China. Due to overfishing and ecological environment deterioration, its resources are rapidly declining and even facing the risk of extinction. Therefore, conservation measures must be taken immediately to ensure the sustainable resources of <em>C. nasus</em>. The purpose of this study is to predict the suitable habitats of <em>C. nasus</em> in the Yangtze River and to make a spatiotemporal and geographical analysis of the illegal fishing cases of <em>C. nasus</em> in the Yangtze River as part of the conservation efforts. In this study, the MaxEnt model was used to predict the suitable habitats of <em>C. nasus</em>, and the distribution characteristics of illegal fishing cases involving <em>C. nasus</em> were revealed through a spatiotemporal geographic analysis. Based on the collected data of 19 climatic variables, three topographic variables and one flow accumulation variable, we constructed the MaxEnt model, optimized the parameter settings of the MaxEnt software, and called the R package Kuenm to screen and determine the optimal parameters from the MaxEnt model with 1240 different parameter combinations, and predicted the suitable habitats of the <em>C. nasus</em> in the Yangtze River Basin. The results showed that the main breeding areas of <em>C. nasus</em> were mainly concentrated in Chongqing in the upper reaches of the Yangtze River and Jiangsu Province and Shanghai in the middle and lower reaches of the Yangtze River, which had suitable hydrological and topographic conditions for <em>C. nasus</em> survival. In addition, river flow accumulation and temperature are the main variables affecting the distribution of <em>C. nasus</em> in the Yangtze River. At the same time, we analyzed the spatial and temporal distribution of illegal fishing cases of <em>C. nasus</em> and found that there were relatively serious illegal fishing activities in Chongqing and Shanghai, especially in highly suitable habitats areas, where illegal fishing cases broke out frequently, and suggested that high-suitability areas should be prioritised as conservation areas of <em>C. nasus</em>.</div></div>","PeriodicalId":54898,"journal":{"name":"Journal for Nature Conservation","volume":"86 ","pages":"Article 126886"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Nature Conservation","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1617138125000639","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
引用次数: 0
Abstract
Coilia nasus is an endangered freshwater fish in China. Due to overfishing and ecological environment deterioration, its resources are rapidly declining and even facing the risk of extinction. Therefore, conservation measures must be taken immediately to ensure the sustainable resources of C. nasus. The purpose of this study is to predict the suitable habitats of C. nasus in the Yangtze River and to make a spatiotemporal and geographical analysis of the illegal fishing cases of C. nasus in the Yangtze River as part of the conservation efforts. In this study, the MaxEnt model was used to predict the suitable habitats of C. nasus, and the distribution characteristics of illegal fishing cases involving C. nasus were revealed through a spatiotemporal geographic analysis. Based on the collected data of 19 climatic variables, three topographic variables and one flow accumulation variable, we constructed the MaxEnt model, optimized the parameter settings of the MaxEnt software, and called the R package Kuenm to screen and determine the optimal parameters from the MaxEnt model with 1240 different parameter combinations, and predicted the suitable habitats of the C. nasus in the Yangtze River Basin. The results showed that the main breeding areas of C. nasus were mainly concentrated in Chongqing in the upper reaches of the Yangtze River and Jiangsu Province and Shanghai in the middle and lower reaches of the Yangtze River, which had suitable hydrological and topographic conditions for C. nasus survival. In addition, river flow accumulation and temperature are the main variables affecting the distribution of C. nasus in the Yangtze River. At the same time, we analyzed the spatial and temporal distribution of illegal fishing cases of C. nasus and found that there were relatively serious illegal fishing activities in Chongqing and Shanghai, especially in highly suitable habitats areas, where illegal fishing cases broke out frequently, and suggested that high-suitability areas should be prioritised as conservation areas of C. nasus.
期刊介绍:
The Journal for Nature Conservation addresses concepts, methods and techniques for nature conservation. This international and interdisciplinary journal encourages collaboration between scientists and practitioners, including the integration of biodiversity issues with social and economic concepts. Therefore, conceptual, technical and methodological papers, as well as reviews, research papers, and short communications are welcomed from a wide range of disciplines, including theoretical ecology, landscape ecology, restoration ecology, ecological modelling, and others, provided that there is a clear connection and immediate relevance to nature conservation.
Manuscripts without any immediate conservation context, such as inventories, distribution modelling, genetic studies, animal behaviour, plant physiology, will not be considered for this journal; though such data may be useful for conservationists and managers in the future, this is outside of the current scope of the journal.