| Literature DB >> 27597444 |
Rafael Marcé1, Glen George2,3, Paola Buscarinu4, Melania Deidda4, Julita Dunalska5, Elvira de Eyto6, Giovanna Flaim7, Hans-Peter Grossart8,9, Vera Istvanovics10, Mirjana Lenhardt11, Enrique Moreno-Ostos12, Biel Obrador13, Ilia Ostrovsky14, Donald C Pierson15, Jan Potužák16, Sandra Poikane17, Karsten Rinke18, Sara Rodríguez-Mozaz1, Peter A Staehr19, Kateřina Šumberová16, Guido Waajen20, Gesa A Weyhenmeyer21, Kathleen C Weathers22, Mark Zion23, Bas W Ibelings24, Eleanor Jennings25.
Abstract
Recent technological developments have increased the number of variables being monitored in lakes and reservoirs using automatic high frequency monitoring (AHFM). However, design of AHFM systems and posterior data handling and interpretation are currently being developed on a site-by-site and issue-by-issue basis with minimal standardization of protocols or knowledge sharing. As a result, many deployments become short-lived or underutilized, and many new scientific developments that are potentially useful for water management and environmental legislation remain underexplored. This Critical Review bridges scientific uses of AHFM with their applications by providing an overview of the current AHFM capabilities, together with examples of successful applications. We review the use of AHFM for maximizing the provision of ecosystem services supplied by lakes and reservoirs (consumptive and non consumptive uses, food production, and recreation), and for reporting lake status in the EU Water Framework Directive. We also highlight critical issues to enhance the application of AHFM, and suggest the establishment of appropriate networks to facilitate knowledge sharing and technological transfer between potential users. Finally, we give advice on how modern sensor technology can successfully be applied on a larger scale to the management of lakes and reservoirs and maximize the ecosystem services they provide.Mesh:
Year: 2016 PMID: 27597444 DOI: 10.1021/acs.est.6b01604
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028