Application of the Technology Readiness Levels Framework to Natural Resource Management Tools

被引:1
|
作者
Cupp, Aaron [1 ]
Fritts, Andrea [1 ]
Brey, Marybeth [1 ]
Woodley, Christa [2 ]
Smith, David [2 ]
Cornish, Mark [3 ]
McGovern, Amy [4 ]
Simmonds, Rob [4 ]
Jackson, Neal [5 ]
机构
[1] US Geol Survey, Upper Midwest Environm Sci Ctr, 2630 Fanta Reed Rd, La Crosse, WI 54603 USA
[2] US Army Corps Engineers, Engineer Res & Dev Ctr, Vicksburg, MS USA
[3] US Army Corps Engineers, Rock Isl, IL USA
[4] US Fish & Wildlife Serv, Bloomington, MN USA
[5] US Fish & Wildlife Serv, Large Rivers Coordinat Off, Carbondale, IL USA
关键词
CARBON-DIOXIDE; LAMPSILIS-SILIQUOIDEA; RESPONSES; WATER; FISHES; TEMPERATURE; UNCERTAINTY; AVOIDANCE; DETERRENT; BARRIER;
D O I
10.1002/fsh.10982
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Technology advancements in fisheries science can provide useful tools to support natural resource management and conservation. However, new technologies may also present challenges for decision makers due to the lack of a standardized process to assess technologies for consideration within management plans. Future technology development in fishery and water resources could benefit from a framework that assigns an appropriate technology development stage and defines the readiness for implementation. Technology Readiness Levels (TRL) are one established research and development scale used throughout engineering and related disciplines that could be applied to natural resource management tools. The TRL assess the maturity of a technology from nascent idea through a fully developed technology. Steps within this scale could provide a general framework for researchers to follow when planning and conducting studies, while similarly providing a standard scale for resource managers to assess readiness for technology transfer and implementation. The goal of this paper is to describe TRL in the context of natural resource management tools and offer this existing framework as one option to facilitate communication between researchers and managers.
引用
收藏
页码:474 / 479
页数:6
相关论文
共 50 条
  • [1] Application of AI intelligent technology in natural resource planning and management
    Cheng, Hui
    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2024, 28 (3-4) : 303 - 319
  • [2] A FRAMEWORK FOR NATURAL-RESOURCE MANAGEMENT
    DUDLEY, RL
    NATURAL RESOURCES JOURNAL, 1990, 30 (01) : 107 - 122
  • [3] Detailed definitions and guidance for application of technology readiness levels
    Moorhouse, David J.
    Journal of Aircraft, 1600, 39 (01): : 190 - 192
  • [4] Detailed definitions and guidance for application of technology readiness levels
    Moorhouse, DJ
    JOURNAL OF AIRCRAFT, 2002, 39 (01): : 190 - 192
  • [5] Anpernirrentye: a Framework for Enhanced Application of Indigenous Ecological Knowledge in Natural Resource Management
    Walsh, Fiona J.
    Dobson, Perrurle V.
    Douglas, Josie C.
    ECOLOGY AND SOCIETY, 2013, 18 (03):
  • [6] Application of open source tools for biodiversity conservation and natural resource management in East Africa
    Mose, Victor N.
    Western, David
    Tyrrell, Peter
    ECOLOGICAL INFORMATICS, 2018, 47 : 35 - 44
  • [7] Assessing Geospatial Technology Implementation Capacity for Natural Resource Management Networks: A Proposed Framework
    Smith, Charlynne
    Leung, Yu-Fai
    Seekamp, Erin
    JOURNAL OF PARK AND RECREATION ADMINISTRATION, 2021, 39 (02) : 24 - 42
  • [8] A New Framework for Natural Resource Management in Amazonia
    Nidia Noemi Fabré
    Vandick da Silva Batista
    Maria Olívia de Albuquerque Ribeiro
    Richard J. Ladle
    AMBIO, 2012, 41 : 302 - 308
  • [9] A New Framework for Natural Resource Management in Amazonia
    Fabre, Nidia Noemi
    Batista, Vandick da Silva
    de Albuquerque Ribeiro, Maria Olivia
    Ladle, Richard J.
    AMBIO, 2012, 41 (03) : 302 - 308
  • [10] Timing is everything: A technology transition framework for regulatory and market readiness levels
    Kobos, Peter H.
    Malczynski, Leonard A.
    Walker, La Tonya N.
    Borns, David J.
    Klise, Geoffrey T.
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018, 137 : 211 - 225