L. Johnston, A. Hiscock, B. Holmes, T. Bermarija, R Scott, A. Sinclair, R. Jamieson
{"title":"Trophic triage: a tiered eutrophication vulnerability screening tool for lakes in sparsely monitored regions","authors":"L. Johnston, A. Hiscock, B. Holmes, T. Bermarija, R Scott, A. Sinclair, R. Jamieson","doi":"10.1080/10402381.2020.1857481","DOIUrl":null,"url":null,"abstract":"Abstract Johnston L, Hiscock A, Holmes B, Bermarija T, Scott R, Sinclair A, Jamieson R. 2020. Trophic triage: a tiered eutrophication vulnerability screening tool for lakes in sparsely monitored regions. Lake Reserv Manage. 37:214–226. Eutrophication and the occurrence of harmful algal blooms (HABs) have been observed in lakes throughout North America. Here, we developed a high-level lake screening tool for characterizing eutrophication vulnerability in sparsely monitored regions. The screening tool involves a desktop study (Tier 1) to classify the vulnerability of lakes to eutrophication as either low, moderate, or high vulnerability. A subset of lakes is then identified from this initial assessment for a preliminary water quality sampling program to confirm the desktop evaluation (Tier 2). From this evaluation, lakes in a final subset undergo a comprehensive sampling program to establish final vulnerability levels (Tier 3). The screening tool was initially developed and demonstrated for lakes within the Municipality of Cumberland County, Nova Scotia, Canada. Five lakes, spanning a range of land uses, morphologies, and watershed settings, were subjected to a detailed water quality monitoring program to help refine factors and thresholds in the screening tool. Tier 2 and Tier 3 were then applied to the 5 study lakes to demonstrate the complete screening process. Tier 1 of the screening tool was further validated on an additional 29 lakes in Nova Scotia, and performed as intended for the majority of lakes, predicting the same or higher trophic state than the one currently measured for 25 of the 29 lakes. For the 4 lakes with trophic states that were underpredicted, the vulnerability level was still correctly predicted. The screening tool proved to be a robust approach for identifying lakes that are vulnerable to eutrophication, and for prioritizing monitoring activities.","PeriodicalId":18017,"journal":{"name":"Lake and Reservoir Management","volume":"37 1","pages":"214 - 226"},"PeriodicalIF":1.1000,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10402381.2020.1857481","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lake and Reservoir Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10402381.2020.1857481","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"LIMNOLOGY","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract Johnston L, Hiscock A, Holmes B, Bermarija T, Scott R, Sinclair A, Jamieson R. 2020. Trophic triage: a tiered eutrophication vulnerability screening tool for lakes in sparsely monitored regions. Lake Reserv Manage. 37:214–226. Eutrophication and the occurrence of harmful algal blooms (HABs) have been observed in lakes throughout North America. Here, we developed a high-level lake screening tool for characterizing eutrophication vulnerability in sparsely monitored regions. The screening tool involves a desktop study (Tier 1) to classify the vulnerability of lakes to eutrophication as either low, moderate, or high vulnerability. A subset of lakes is then identified from this initial assessment for a preliminary water quality sampling program to confirm the desktop evaluation (Tier 2). From this evaluation, lakes in a final subset undergo a comprehensive sampling program to establish final vulnerability levels (Tier 3). The screening tool was initially developed and demonstrated for lakes within the Municipality of Cumberland County, Nova Scotia, Canada. Five lakes, spanning a range of land uses, morphologies, and watershed settings, were subjected to a detailed water quality monitoring program to help refine factors and thresholds in the screening tool. Tier 2 and Tier 3 were then applied to the 5 study lakes to demonstrate the complete screening process. Tier 1 of the screening tool was further validated on an additional 29 lakes in Nova Scotia, and performed as intended for the majority of lakes, predicting the same or higher trophic state than the one currently measured for 25 of the 29 lakes. For the 4 lakes with trophic states that were underpredicted, the vulnerability level was still correctly predicted. The screening tool proved to be a robust approach for identifying lakes that are vulnerable to eutrophication, and for prioritizing monitoring activities.
期刊介绍:
Lake and Reservoir Management (LRM) publishes original, previously unpublished studies relevant to lake and reservoir management. Papers address the management of lakes and reservoirs, their watersheds and tributaries, along with the limnology and ecology needed for sound management of these systems. Case studies that advance the science of lake management or confirm important management concepts are appropriate as long as there is clearly described management significance. Papers on economic, social, regulatory and policy aspects of lake management are also welcome with appropriate supporting data and management implications. Literature syntheses and papers developing a conceptual foundation of lake and watershed ecology will be considered for publication, but there needs to be clear emphasis on management implications. Modeling papers will be considered where the model is properly verified but it is also highly preferable that management based on the model has been taken and results have been documented. Application of known models to yet another system without a clear advance in resultant management are unlikely to be accepted. Shorter notes that convey important early results of long-term studies or provide data relating to causative agents or management approaches that warrant further study are acceptable even if the story is not yet complete. All submissions are subject to peer review to assure relevance and reliability for management application.