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      Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks

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          Abstract

          1. Monitoring programs can benefit from an adaptive monitoring approach, where key decisions about why, where, what, and how to monitor are revisited periodically in order to ensure programmatic relevancy.

          2. The National Park Service (NPS) monitors status and trends of vital signs to evaluate compliance with the NPS mission. Although abundant, The Southwest Alaska Network (SWAN) monitors bald eagles because of their inherent importance to park visitors and role as an important ecological indicator. Our goal is to identify an optimal monitoring program that may be standardized among participating parks.

          3. We gathered an expert panel of scientists and managers, and implemented a Delphi Process to gather information about the bald eagle monitoring program. Panelists generated a list of means objectives for the monitoring program: minimizing cost, minimizing effort, maximizing the ability to detect change in bald eagle populations, and maximizing the amount of accurate information collected about bald eagles.

          4. We used a swing‐weighting technique to assign importance to each objective. Collecting accurate information about bald eagles was considered the most important means objective.

          5. Combining panelist‐generated information with objective importance, we analyzed the scenarios and defined the optimal decision using linear value modeling. Through our analysis, we found that a “Comprehensive” monitoring scenario, comprised of all feasible monitoring metrics, is the optimal monitoring scenario. Even with greatly increased cost, the Comprehensive monitoring scenario remains the best solution.

          6. We suggest further exploration of the cost and effort required for the Comprehensive scenario, to determine whether it is in the parks’ best interest to begin monitoring additional metrics.

          Abstract

          The Southwest Alaska Network (SWAN) of the National Park Service monitors bald eagles as part of the Vital Signs Monitoring Plan. This study uses structured decision‐making techniques to evaluate an optimal long‐term bald eagle monitoring program that may be standardized among participating parks.

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          Most cited references22

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          Monitoring for conservation.

          Human-mediated environmental changes have resulted in appropriate concern for the conservation of ecological systems and have led to the development of many ecological monitoring programs worldwide. Many programs that are identified with the purpose of 'surveillance' represent an inefficient use of conservation funds and effort. Here, we revisit the 1964 paper by Platt and argue that his recommendations about the conduct of science are equally relevant to the conduct of ecological monitoring programs. In particular, we argue that monitoring should not be viewed as a stand-alone activity, but instead as a component of a larger process of either conservation-oriented science or management. Corresponding changes in monitoring focus and design would lead to substantial increases in the efficiency and usefulness of monitoring results in conservation.
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            Adaptive monitoring: a new paradigm for long-term research and monitoring.

            Long-term research and monitoring can provide important ecological insights and are crucial for the improved management of ecosystems and natural resources. However, many long-term research and monitoring programs are either ineffective or fail completely owing to poor planning and/or lack of focus. Here we propose the paradigm of adaptive monitoring, which aims to resolve many of the problems that have undermined previous attempts to establish long-term research and monitoring. This paradigm is driven by tractable questions, rigorous statistical design at the outset, a conceptual model of the ecosystem or other entity being examined and a human need to know about ecosystem change. An adaptive monitoring framework enables monitoring programs to evolve iteratively as new information emerges and research questions change.
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              Adaptive management of natural resources--framework and issues.

              S Avram (2011)
              Adaptive management, an approach for simultaneously managing and learning about natural resources, has been around for several decades. Interest in adaptive decision making has grown steadily over that time, and by now many in natural resources conservation claim that adaptive management is the approach they use in meeting their resource management responsibilities. Yet there remains considerable ambiguity about what adaptive management actually is, and how it is to be implemented by practitioners. The objective of this paper is to present a framework and conditions for adaptive decision making, and discuss some important challenges in its application. Adaptive management is described as a two-phase process of deliberative and iterative phases, which are implemented sequentially over the timeframe of an application. Key elements, processes, and issues in adaptive decision making are highlighted in terms of this framework. Special emphasis is given to the question of geographic scale, the difficulties presented by non-stationarity, and organizational challenges in implementing adaptive management. Published by Elsevier Ltd.
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                Author and article information

                Contributors
                rlk5210@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                15 July 2020
                August 2020
                : 10
                : 15 ( doiID: 10.1002/ece3.v10.15 )
                : 8114-8126
                Affiliations
                [ 1 ] Department of Natural Resource Management South Dakota State University Brookings SD USA
                [ 2 ] Southwest Alaska Network National Park Service Anchorage AK USA
                [ 3 ] South Dakota Cooperative Fish and Wildlife Research Unit South Dakota State University U.S. Geological Survey Brookings SD USA
                Author notes
                [*] [* ] Correspondence

                Rebecca Kolstrom, South Dakota State University, Department of Natural Resource Management, McFadden Biostress Laboratory 138, Box 2140B, Brookings, SD 57007, USA.

                Email: rlk5210@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-4351-818X
                https://orcid.org/0000-0002-3672-8277
                https://orcid.org/0000-0002-1693-5113
                Article
                ECE36499
                10.1002/ece3.6499
                7417219
                32788965
                1518fbec-f6c7-4703-b23f-8d5252898f26
                © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 November 2019
                : 09 April 2020
                : 17 April 2020
                Page count
                Figures: 6, Tables: 2, Pages: 13, Words: 9486
                Funding
                Funded by: National Park Service Inventory and Monitoring Division
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                August 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.6 mode:remove_FC converted:10.08.2020

                Evolutionary Biology
                bald eagle,long‐term monitoring,southwest alaska,structured decision,vital signs

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