Refining knowledge of biogeochemical cycling and ecological interactions within the Lake Erie watershed

完善伊利湖流域内生物地球化学循环和生态相互作用的知识

基本信息

批准号：
RGPIN-2018-03996
负责人：
Crossman, Jill
金额：
$ 2.19万
依托单位：
University of Windsor
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2019
资助国家：
加拿大
起止时间：
2019-01-01 至 2020-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=683601
关键词：
Refining knowledge biogeochemical cycling ecological

项目摘要

Harmful algal blooms (HABs) and low dissolved oxygen (DO) levels are major concerns in large waterbodies, and have been linked with high phosphorus inputs and intensified algal growth and decay. While watershed management plans have helped to reduce nutrient loads received by lakes, HAB frequency has recently increased and DO concentration targets have not consistently been met, particularly in the Laurentian Great Lakes. This failure of management strategies has been linked to increasing availability of certain fractions of phosphorus, despite declines in the total loads, and attributed to complex local interactions between land management approaches, climate change and long-term soil storage. Although there are many theories as to the nutrient sources, a solution to their availability and that of the recurring HABs has not yet been found.*******Recent management failures result from our incomplete knowledge of nutrient transport mechanisms, complex process interactions and associated lake biogeochemical responses. Until these knowledge gaps are filled, the potential effects of new management strategies cannot be predicted. This research program will improve our knowledge of threshold drivers of HABs and lake health through deploying mobile monitoring units around the watershed of Lake Erie, monitoring physical, chemical and biological interactions across land, river, shoreline and deep lake interfaces at hourly intervals.*******Models remain the best available tools to simulate efficacy of management strategies, however they are only as accurate as our process understanding. Historically observational uncertainty and a lack of biogeochemical knowledge has obstructed models from generating helpful management solutions to eutrophication issues. Using the new monitoring data a catchment-lake model will be implemented, with reduced observational uncertainty, to simulate sediment, chemical, hydrological and biological fluxes through the terrestrial, riverine and lake corridor. Land management strategies for reducing frequency of occurrence of HABs and increasing lake DO concentrations will be simulated, and their long term resilience assessed under potential future changes in climate and land-use.*******Improvement of our understanding of interactions between land management and aquatic ecosystems benefits policy makers, residents and users of the lake by generating new information on areas particularly vulnerable to change (hotspots), highlighting areas for management priority and generating novel, more resilient management strategies enabling a healthier lake to be sustained in the face of future change. The large database of high resolution monitoring information generated will be beneficial to a wide range of users, including government (MOECC and EC), local landowners, industry (water treatment plants), and other researchers.***

有害的藻华（HAB）和低溶解氧（DO）水平是大型水体的主要问题，并且与高磷输入以及加强的藻类生长和衰减有关。尽管分水岭管理计划有助于减少湖泊收到的养分负荷，但HAB频率最近增加了，DO浓度目标尚未始终如一地满足，尤其是在劳伦斯大湖中。尽管总负荷下降，但管理策略的这种失败与磷的某些部分的可用性增加有关，并且归因于土地管理方法，气候变化和长期土壤存储之间的复杂局部相互作用。尽管关于养分来源有很多理论，但尚未找到对其可用性的解决方案。在填补了这些知识差距之前，无法预测新的管理策略的潜在影响。该研究计划将通过在伊利湖流域周围部署移动监控单元，以每小时的时间间隔来监测跨地，河流，海岸线和深湖界面的物理，化学和生物学相互作用，通过部署移动监控单元来提高我们对Habs和Lake Health的阈值驱动因素的了解。******************************************************************************模型仍然是模拟管理策略效率的最佳可用工具，这些工具仅适用于我们的流程效率。从历史上看，观察性的不确定性和缺乏生物地球化学知识阻碍了模型无法为富营养化问题产生有用的管理解决方案。使用新的监测数据，将通过降低的观察不确定性来实施流域湖泊模型，以通过陆地，河流和湖泊走廊模拟沉积物，化学，水文和生物通量。 Land management strategies for reducing frequency of occurrence of HABs and increasing lake DO concentrations will be simulated, and their long term resilience assessed under potential future changes in climate and land-use.*******Improvement of our understanding of interactions between land management and aquatic ecosystems benefits policy makers, residents and users of the lake by generating new information on areas particularly vulnerable to change (hotspots), highlighting areas for management priority and generating novel, more有弹性的管理策略使面对未来的变化，可以维持一个更健康的湖泊。高分辨率监测信息的大型数据库将对包括政府（MOECC和EC），当地土地所有者，工业（水处理厂）和其他研究人员在内的广泛用户有利。***