Uzarski Donald G, Wilcox Douglas A, Brady Valerie J, Cooper Matthew J, Albert Dennis A, Ciborowski Jan J H, Danz Nicholas P, Garwood Anne, Gathman Joseph P, Gehring Thomas M, Grabas Greg P, Howe Robert W, Johnson Lucinda B, Lamberti Gary A, Moerke Ashley H, Niemi Gerald J, Redder Todd, Ruetz Carl R, Steinman Alan D, Tozer Douglas C, O'Donnell T Kevin
Institute for Great Lakes Research, CMU Biological Station, and Department of Biology, Central Michigan University, Mt. Pleasant, MI, USA.
Department of Environmental Science and Ecology, SUNY College at Brockport, Brockport, NY, USA.
Wetlands (Wilmington). 2019 Apr 25;39(6):1357-1366. doi: 10.1007/s13157-019-01139-w.
Traditionally, ecosystem monitoring, conservation, and restoration have been conducted in a piecemeal manner at the local scale without regional landscape context. However, scientifically driven conservation and restoration decisions benefit greatly when they are based on regionally determined benchmarks and goals. Unfortunately, required data sets rarely exist for regionally important ecosystems. Because of early recognition of the extreme ecological importance of Laurentian Great Lakes coastal wetlands, and the extensive degradation that had already occurred, significant investments in coastal wetland research, protection, and restoration have been made in recent decades and continue today. Continued and refined assessment of wetland condition and trends, and the evaluation of restoration practices are all essential to ensuring the success of these investments. To provide wetland managers and decision makers throughout the Laurentian Great Lakes basin with the optimal tools and data needed to make scientifically-based decisions, our regional team of Great Lakes wetland scientists developed standardized methods and indicators used for assessing wetland condition. From a landscape perspective, at the Laurentian Great Lakes ecosystem scale, we established a stratified random-site-selection process to monitor birds, anurans, fish, macroinvertebrates, vegetation, and physicochemical conditions of coastal wetlands in the US and Canada. Monitoring of approximately 200 wetlands per year began in 2011 as the Great Lakes Coastal Wetland Monitoring Program. In this paper, we describe the development, delivery, and expected results of this ongoing international, multi-disciplinary, multi-stakeholder, landscape-scale monitoring program as a case example of successful application of landscape conservation design.
传统上,生态系统监测、保护和恢复工作一直是在地方层面上零敲碎打地进行,缺乏区域景观背景。然而,当基于区域确定的基准和目标做出科学驱动的保护和恢复决策时,会受益匪浅。不幸的是,对于具有区域重要性的生态系统,所需的数据集很少存在。由于早期认识到劳伦琴五大湖沿岸湿地具有极端的生态重要性,以及已经发生的广泛退化,近几十年来在沿岸湿地研究、保护和恢复方面进行了大量投资,并且至今仍在继续。持续且精细地评估湿地状况和趋势,以及评估恢复措施,对于确保这些投资的成功至关重要。为了向整个劳伦琴五大湖流域的湿地管理者和决策者提供做出基于科学的决策所需的最佳工具和数据,我们的五大湖湿地科学家区域团队开发了用于评估湿地状况的标准化方法和指标。从景观角度来看,在劳伦琴五大湖生态系统尺度上,我们建立了分层随机选点过程,以监测美国和加拿大沿岸湿地的鸟类、无尾两栖类、鱼类、大型无脊椎动物、植被以及物理化学状况。作为大湖沿岸湿地监测计划,2011年开始每年对约200个湿地进行监测。在本文中,我们将描述这个正在进行的国际、多学科、多利益相关方、景观尺度监测计划的发展、实施情况以及预期成果,作为景观保护设计成功应用的一个案例。