River health assessment in a large river: Bioindicators of fish population
文献类型：期刊论文
| 作者 | Jia, Y. T.; Chen, Y. F. |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2013-03-01 |
| 卷号 | 26期号:-页码:24-32 |
| 关键词 | Large river Bioindicator Fish Population-level metrics |
| ISSN号 | 1470-160X |
| 通讯作者 | Chen, YF (reprint author), Chinese Acad Sci, Inst Hydrobiol, Lab Biol Invas & Adapt Evolut, 7 Donghu S Rd, Wuhan 430072, Hubei, Peoples R China. |
| 中文摘要 | Large river systems are some of the most important aquatic resource for human beings. Unfortunately, ecological integrity of large rivers has been altered severely by human activities. To monitor and manage these ecosystems, a large number of fish-based indexes, especially at community-level have been developed in the past decades. However, community-level methods have presented unique challenges in large river assessment. Comparatively, the population-level method could not only avoid the challenges, but also show many other advantages. Therefore, the aim of this paper is to develop and validate a population-based method applicable for large river. The present study was carried out at the Dongjiang River, with Xenocypris davidi and Hemibarbus labeo being selected as the sentinel indicators. In developing our method we sought population metrics, including growth, survival and reproduction related, to reflect ecological characteristics. Candidate biological metrics were screened for stability, responsiveness and redundancy. The metrics of standard length, average age and fecundity were finally selected for X. davidi, and standard length, weight, average age, and gonadosomatic index for H. labeo. Through the relationship between biological traits and catchments human disturbance information, Xunwu and Anyuan were ultimately chosen as the reference sites for X. davidi and H. labeo, respectively. The star plot areas, representing the degree of similarity with the reference conditions, showed a large variation among different sampling sites, ranging from 0.15 to 0.94 for X. davidi and 0.13 to 1.91 for H. labeo. It was indicated that all sampling sites except for XW could be assigned to the "impaired". The publicly available census data were used as independent data set to validate our method. The high agreement of both methods suggested that our method could provide an accurate measure for river ecosystem condition. We believe our methodology would be helpful for water resource management of large river. The methodology established here may also serve as a reference of how to develop a population-based index for similar assessments in other large river systems. (C) 2012 Elsevier Ltd. All rights reserved. |
| 英文摘要 | Large river systems are some of the most important aquatic resource for human beings. Unfortunately, ecological integrity of large rivers has been altered severely by human activities. To monitor and manage these ecosystems, a large number of fish-based indexes, especially at community-level have been developed in the past decades. However, community-level methods have presented unique challenges in large river assessment. Comparatively, the population-level method could not only avoid the challenges, but also show many other advantages. Therefore, the aim of this paper is to develop and validate a population-based method applicable for large river. The present study was carried out at the Dongjiang River, with Xenocypris davidi and Hemibarbus labeo being selected as the sentinel indicators. In developing our method we sought population metrics, including growth, survival and reproduction related, to reflect ecological characteristics. Candidate biological metrics were screened for stability, responsiveness and redundancy. The metrics of standard length, average age and fecundity were finally selected for X. davidi, and standard length, weight, average age, and gonadosomatic index for H. labeo. Through the relationship between biological traits and catchments human disturbance information, Xunwu and Anyuan were ultimately chosen as the reference sites for X. davidi and H. labeo, respectively. The star plot areas, representing the degree of similarity with the reference conditions, showed a large variation among different sampling sites, ranging from 0.15 to 0.94 for X. davidi and 0.13 to 1.91 for H. labeo. It was indicated that all sampling sites except for XW could be assigned to the "impaired". The publicly available census data were used as independent data set to validate our method. The high agreement of both methods suggested that our method could provide an accurate measure for river ecosystem condition. We believe our methodology would be helpful for water resource management of large river. The methodology established here may also serve as a reference of how to develop a population-based index for similar assessments in other large river systems. (C) 2012 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Biodiversity Conservation ; Environmental Sciences |
| 研究领域[WOS] | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 关键词[WOS] | BIOTIC INTEGRITY ; BIOLOGICAL INTEGRITY ; HUMAN DISTURBANCE ; PULP-MILL ; INDEX ; ASSEMBLAGES ; STREAMS ; INDICATORS ; GRADIENTS ; QUALITY |
| 收录类别 | SCI |
| 资助信息 | National Major Projects on Control and Rectification of Water Body Pollution [2009ZX07211-009]; National Special Basic Research Funds [2006FY110500-3] |
| 语种 | 英语 |
| WOS记录号 | WOS:000314483200004 |
| 公开日期 | 2013-10-31 |
| 源URL | [http://ir.ihb.ac.cn/handle/342005/19265]  |
| 专题 | 水生生物研究所_水生生物多样性与资源保护研究中心_期刊论文 |
| 作者单位 | Chinese Acad Sci, Inst Hydrobiol, Lab Biol Invas & Adapt Evolut, Wuhan 430072, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Y. T.,Chen, Y. F.. River health assessment in a large river: Bioindicators of fish population[J]. ECOLOGICAL INDICATORS,2013,26(-):24-32. |
| APA | Jia, Y. T.,&Chen, Y. F..(2013).River health assessment in a large river: Bioindicators of fish population.ECOLOGICAL INDICATORS,26(-),24-32. |
| MLA | Jia, Y. T.,et al."River health assessment in a large river: Bioindicators of fish population".ECOLOGICAL INDICATORS 26.-(2013):24-32. |
入库方式： OAI收割
来源：水生生物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。