Integration of ecosystem-based models into an existing interactive web-based tool for improved aquaculture decision-making

被引:25
|
作者
Bricker, Suzanne B. [1 ]
Getchis, Tessa L. [2 ]
Chadwick, Cary B. [3 ]
Rose, Corim. [4 ]
Rose, Julie M. [5 ]
机构
[1] NOAA, Natl Ctr Coastal Sci, Silver Spring, MD 20910 USA
[2] Univ Connecticut, UConn Extens, Connecticut Sea Grant, Groton, CT USA
[3] Univ Connecticut, Ctr Land Use Educ & Res, Haddam, CT USA
[4] US Army, Corps Engnineers, Concord, MA USA
[5] NOAA, Fisheries Northeast Fisheries Sci Ctr Milford Lab, Milford, CT USA
关键词
Shellfish; Aquaculture; GIS; Decision support tool; SHELLFISH AQUACULTURE; CARRYING-CAPACITY; MANAGEMENT; CULTURE; SITES; GIS; INDICATORS; ESTUARY; SOUND;
D O I
10.1016/j.aquaculture.2015.11.036
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Proper site selection is critical to the development and expansion of marine aquaculture. Major considerations for site selection include: potential for competing uses, environmental interactions, and animal productivity. Two types of existing site selection tools, mapping and modeling, have proven useful independently, and in some recent studies have proven useful when used together. GIS-based mapping tools have become important in the decision-making process. These tools provide access to marine and coastal datasets allowing farmers and extension agents to gather information on availability of cultivation sites. They are also used by resource managers to assess potential use conflicts (e.g. existence of commercial fishing, mooring areas, fixed fishing gear) and possible environmental interactions (e.g. presence of seagrasses, contaminants, threatened or endangered species). Models have been used separately to predict animal growth, farm productivity, and farm-related effects on the surrounding water and sediment quality. The integration of the Farm Aquaculture Resource Management (FARM) model (http://www.farmscale.org) into the U.S. state of Connecticut's Aquaculture Mapping Atlas (http://seagrant.uconn.edu/whatwedo/aquaculture/shellmap.php) was tested in three geographically distinct waterbodies within Connecticut (CT) waters of Long Island Sound. Nearshore waters within the towns of Mystic, Milford, and Westport were selected as pilot locations to determine usability and capability of the combined tools. Data from two long-term offshore sampling stations adjacent to existing shellfish leases were used to test spatial and temporal sampling variability impacts on model results. Partnerships with local monitoring programs and growers were important for acquisition of water quality data, oyster measurement data, and information about local culture practices. All sites were deemed suitable for oyster aquaculture based on model results that predicted Moderate to High growth based on estimated time to reach harvest size from one in (2.54 cm) seed oysters (Crassostrea virginica). Time to harvest varied from 282 days (High growth) to 645 days (Moderate growth) among the 22 stations in the three nearshore sites, and 724-956 days (Moderate growth) at the two offshore sites. Results from the two long-term offshore stations indicate that data from the same year must be used when comparing production-based suitability of sites. Addition of potential production estimates improved the ability to select between suitable mapping-based sites. This mapping and modeling combination should be encouraged to provide a strong basis for successful siting and expansion of aquaculture while minimizing user conflict and adverse environmental interactions. This approach may be particularly useful in waterbodies where shellfish aquaculture is possible but is not well established. Published by Elsevier B.V.
引用
收藏
页码:135 / 146
页数:12
相关论文
共 50 条
  • [31] Developing the family support tool: An interactive, web-based tool to help families navigate the complexities of surrogate decision making in ICUs
    Suen, Angela O.
    Butler, Rachel A.
    Arnold, Robert
    Myers, Brad
    Witteman, Holly O.
    Cox, Christopher E.
    Argenas, Amanda
    Buddadhumaruk, Praewpannanrai
    Bursic, Alexandra
    Ernecoff, Natalie C.
    Shields, Anne-Marie
    Tran, Dang K.
    White, Douglas B.
    [J]. JOURNAL OF CRITICAL CARE, 2020, 56 : 132 - 139
  • [32] Ecosystem-based management in Canada and Norway: The importance of political leadership and effective decision-making for implementation
    Sander, Gunnar
    [J]. OCEAN & COASTAL MANAGEMENT, 2018, 163 : 485 - 497
  • [33] PATIENT PERCEPTIONS OF DECISION MAKING AND A WEB-BASED DECISION-MAKING AID FOR EARLY STAGE PROSTATE CANCER
    Fleisher, Linda
    Kandadai, Venk
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2010, 39 : 130 - 130
  • [34] Carrying capacity simulations as a tool for ecosystem-based management of a scallop aquaculture system
    Kluger, Lotta C.
    Taylor, Marc H.
    Mendo, Jaime
    Tam, Jorge
    Wolff, Matthias
    [J]. ECOLOGICAL MODELLING, 2016, 331 : 44 - 55
  • [35] Branch: an interactive, web-based tool for testing hypotheses and developing predictive models
    Gangavarapu, Karthik
    Babji, Vyshakh
    Meissner, Tobias
    Su, Andrew I.
    Good, Benjamin M.
    [J]. BIOINFORMATICS, 2016, 32 (13) : 2072 - 2074
  • [36] Web-based Nominal Group Technique Decision Making Tool using Blockchain
    Na, SungHyun
    Park, Young B.
    [J]. 2018 INTERNATIONAL CONFERENCE ON PLATFORM TECHNOLOGY AND SERVICE (PLATCON18), 2018, : 125 - 129
  • [37] Web-based decision making for collaborative manufacturing
    Wang, Lihui
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2009, 22 (04) : 334 - 344
  • [38] Development of web-based HVAC&R design and decision-making system
    Zhang, GQ
    Lin, YL
    Song, CL
    Zhang, Q
    [J]. BUILT ENVIRONMENT AND PUBLIC HEALTH, PROCEEDINGS, 2004, : 536 - 546
  • [39] Web-based training improves on-field offside decision-making performance
    Put, Koen
    Wagemans, Johan
    Jaspers, Arne
    Helsen, Werner F.
    [J]. PSYCHOLOGY OF SPORT AND EXERCISE, 2013, 14 (04) : 577 - 585
  • [40] Actions, answers, and uncertainty: a decision-making perspective on Web-based question answering
    Azari, D
    Horvitz, E
    Dumais, S
    Brill, E
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2004, 40 (05) : 849 - 868