基本信息
views: 86
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
My research is primarily field-based and focused on measuring the responses of wild fishes to natural and anthropogenic stressors including pulp mills, oil refineries, oil sands operations, agriculture), and municipalities, on examining the suitability of laboratory studies for predicting field effects, and on the use of alternate approaches for detecting impacts.
Most recently my focus has been on developing adaptive, tiered and triggered monitoring frameworks, and in linking the various monitoring programs exist to a common philosophical foundation and integrated management framework. Long term data sets are used to define “normal ranges” for monitoring parameters ranging from water quality measurements and benthic invertebrate community information, to fish population metrics.
My academic studies are focused on testing hypotheses about the role that variation in fish reproductive life histories plays in species differences in sensitivity to environmental contamination. I developed an effects-based ecosystem health assessment approach focused on fish life history information on growth rates, reproductive rates, survival, and indicators of condition which is used to generate and test site-specific hypotheses related to identifying stressors responsible for changes in fish populations.
Research Interests
Papers共 241 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
The Science of the total environment (2024): 171257-171257
Paulina Andrea Bahamonde,Gustavo Chiang,Gabriela Mancilla,Tamara Contador, Caudio Quezada-Romegialli,Kelly Roland Munkittrick,Chris Harrod
Maricor J. Arlos, Victoria I. Arnold,J. Seth Bumagat,Jiangboyuan Zhou,Katrina M. Cereno, Alison Deas, Kaiping Dai,Norma J. Ruecker,Kelly R. Munkittrick
Integrated environmental assessment and managementno. 3 (2023): 616-644
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn