Structured Decision Making to Prioritize Regional Bird Monitoring Needs

IF 1.1 4区 管理学 Q4 MANAGEMENT
Auriel M. V. Fournier, R. Wilson, J. Gleason, E. Adams, Janell M. Brush, R. Cooper, S. Demaso, Melanie J. L. Driscoll, P. Frederick, P. Jodice, M. Ottinger, David B. Reeves, Michael A. Seymour, S. Sharuga, J. Tirpak, William G. Vermillion, T. Zenzal, J. Lyons, M. Woodrey
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引用次数: 2

Abstract

Conservation planning for large ecosystems has multiple benefits but is often challenging to implement because of the multiple jurisdictions, species, and habitats involved. In addition, decision making at large spatial scales can be hampered because many approaches do not explicitly incorporate potentially competing values and concerns of stakeholders. After the Deepwater Horizon oil spill, establishing baselines was challenging because of (1) variation in study designs, (2) inconsistent use of explicit objectives and hypotheses, (3) inconsistent use of standardized monitoring protocols, and (4) variation in spatial and temporal scope associated with avian monitoring projects before the spill. Herein, we show how the Gulf of Mexico Avian Monitoring Network members used structured decision making to identify bird monitoring priorities. We used multiple tools and techniques to clearly define the problem and stakeholder objectives and to identify bird monitoring priorities at the scale of the entire northern Gulf of Mexico region. Although our example is specific to the northern Gulf of Mexico, this approach provides an example of how stakeholder values can be incorporated into the coordination process of broad-scale monitoring programs to address management, restoration, and scientific questions in other ecosystems and for other taxa. History: This paper was refereed. Funding: Thanks to the National Fish and Wildlife Foundation [Grant 324423], which supported A. Fournier as a postdoctoral research associate at Mississippi State University. M. Woodrey was supported by the U.S. Department of Agriculture, National Institute of Food and Agriculture, Hatch Project funds, the Mississippi Agricultural and Forestry Experiment Station, National Oceanographic and Atmospheric Administration [Grant NA16NOS4200088 to the Mississippi Department of Marine Resources’ Grand Bay National Estuarine Research Reserve], and the Mississippi Department of Marine Resources [Grant 8200025414]. This publication is a contribution of the Mississippi Agricultural and Forestry Experiment Station. T. Zenzal was supported by the National Oceanic and Atmospheric Administration RESTORE Act Science Program [Grant NA17NOS4510092].
优先考虑区域鸟类监测需求的结构化决策
大型生态系统的保护规划有多种好处,但由于涉及多个司法管辖区、物种和栖息地,实施起来往往具有挑战性。此外,在大空间尺度上的决策可能会受到阻碍,因为许多方法没有明确纳入利益相关者潜在的竞争价值和关切。深水地平线漏油事件发生后,由于(1)研究设计的变化,(2)明确目标和假设的使用不一致,(3)标准化监测方案的使用不一致,以及(4)泄漏前与鸟类监测项目相关的时空范围的变化,建立基线具有挑战性。在此,我们展示了墨西哥湾鸟类监测网络成员如何使用结构化决策来确定鸟类监测的优先事项。我们使用多种工具和技术来明确问题和利益相关者的目标,并确定整个墨西哥湾北部地区的鸟类监测重点。虽然我们的例子是针对墨西哥湾北部的,但这种方法提供了一个例子,说明如何将利益相关者的价值观纳入大规模监测项目的协调过程,以解决其他生态系统和其他分类群的管理、恢复和科学问题。历史:本文被审稿。资助:感谢国家鱼类和野生动物基金会[Grant 324423],该基金会支持a . Fournier在密西西比州立大学做博士后研究助理。M. Woodrey得到了美国农业部、国家食品和农业研究所、哈奇项目基金、密西西比州农林试验站、国家海洋和大气管理局[拨款NA16NOS4200088给密西西比州海洋资源部的大湾国家河口研究保护区]和密西西比州海洋资源部[拨款8200025414]的支持。本出版物是密西西比农业和林业实验站的贡献。T. Zenzal得到了国家海洋和大气管理局恢复法案科学计划[Grant NA17NOS4510092]的支持。
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来源期刊
自引率
21.40%
发文量
51
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