1
|
Alós J, Aarestrup K, Abecasis D, Afonso P, Alonso-Fernandez A, Aspillaga E, Barcelo-Serra M, Bolland J, Cabanellas-Reboredo M, Lennox R, McGill R, Özgül A, Reubens J, Villegas-Ríos D. Toward a decade of ocean science for sustainable development through acoustic animal tracking. GLOBAL CHANGE BIOLOGY 2022; 28:5630-5653. [PMID: 35929978 PMCID: PMC9541420 DOI: 10.1111/gcb.16343] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/10/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
The ocean is a key component of the Earth's dynamics, providing a great variety of ecosystem services to humans. Yet, human activities are globally changing its structure and major components, including marine biodiversity. In this context, the United Nations has proclaimed a Decade of Ocean Science for Sustainable Development to tackle the scientific challenges necessary for a sustainable use of the ocean by means of the Sustainable Development Goal 14 (SDG14). Here, we review how Acoustic animal Tracking, a widely distributed methodology of tracking marine biodiversity with electronic devices, can provide a roadmap for implementing the major Actions to achieve the SDG14. We show that acoustic tracking can be used to reduce and monitor the effects of marine pollution including noise, light, and plastic pollution. Acoustic tracking can be effectively used to monitor the responses of marine biodiversity to human-made infrastructures and habitat restoration, as well as to determine the effects of hypoxia, ocean warming, and acidification. Acoustic tracking has been historically used to inform fisheries management, the design of marine protected areas, and the detection of essential habitats, rendering this technique particularly attractive to achieve the sustainable fishing and spatial protection target goals of the SDG14. Finally, acoustic tracking can contribute to end illegal, unreported, and unregulated fishing by providing tools to monitor marine biodiversity against poachers and promote the development of Small Islands Developing States and developing countries. To fully benefit from acoustic tracking supporting the SDG14 Targets, trans-boundary collaborative efforts through tracking networks are required to promote ocean information sharing and ocean literacy. We therefore propose acoustic tracking and tracking networks as relevant contributors to tackle the scientific challenges that are necessary for a sustainable use of the ocean promoted by the United Nations.
Collapse
Affiliation(s)
- Josep Alós
- Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), Esporles, Spain
| | - Kim Aarestrup
- Section for Freshwater Fisheries and Ecology, National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - David Abecasis
- Center of Marine Sciences, Universidade do Algarve (CCMAR), Faro, Portugal
| | - Pedro Afonso
- Institute of Marine Research (IMAR/Okeanos), University of the Azores, Horta, Portugal
| | | | - Eneko Aspillaga
- Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), Esporles, Spain
| | | | - Jonathan Bolland
- Hull International Fisheries Institute, University of Hull, Hull, UK
| | | | - Robert Lennox
- NORCE Norwegian Research Center AS, Bergen, Norway
- Norwegian Institute for Nature Research, Trondheim, Norway
| | | | - Aytaç Özgül
- Ege University, Faculty of Fisheries, Izmir, Turkey
| | | | - David Villegas-Ríos
- Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), Esporles, Spain
- Instituto de Investigaciones Marinas (IIM), CSIC, Vigo, Spain
| |
Collapse
|
2
|
Bopp JJ, Sclafani M, Frisk MG, McKown K, Ziegler‐Fede C, Smith DR, Cerrato RM. Telemetry reveals migratory drivers and disparate space use across seasons and age‐groups in American horseshoe crabs. Ecosphere 2021. [DOI: 10.1002/ecs2.3811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Justin J. Bopp
- School of Marine and Atmospheric Sciences Stony Brook University 145 Endeavour Hall Stony Brook New York 11794 USA
| | - Matthew Sclafani
- School of Marine and Atmospheric Sciences Stony Brook University 145 Endeavour Hall Stony Brook New York 11794 USA
- Cornell University Cooperative Extension of Suffolk County 23 Griffing Avenue # 100 Riverhead New York 1190 USA
| | - Michael G. Frisk
- School of Marine and Atmospheric Sciences Stony Brook University 145 Endeavour Hall Stony Brook New York 11794 USA
| | - Kim McKown
- New York State Department of Environmental Conservation 205 North Belle Meade Road, Suite 1 East Setauket New York 11733 USA
| | - Catherine Ziegler‐Fede
- New York State Department of Environmental Conservation 205 North Belle Meade Road, Suite 1 East Setauket New York 11733 USA
| | - David R. Smith
- United States Geological Survey Eastern Ecological Science Center 11649 Kearneysville Road Kearneysville West Virginia 25430 USA
| | - Robert M. Cerrato
- School of Marine and Atmospheric Sciences Stony Brook University 145 Endeavour Hall Stony Brook New York 11794 USA
| |
Collapse
|
3
|
Zhang T, Tian B, Sengupta D, Zhang L, Si Y. Global offshore wind turbine dataset. Sci Data 2021; 8:191. [PMID: 34315912 PMCID: PMC8316499 DOI: 10.1038/s41597-021-00982-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 06/18/2021] [Indexed: 11/09/2022] Open
Abstract
Offshore wind farms are widely adopted by coastal countries to obtain clean and green energy; their environmental impact has gained an increasing amount of attention. Although offshore wind farm datasets are commercially available via energy industries, records of the exact spatial distribution of individual wind turbines and their construction trajectories are rather incomplete, especially at the global level. Here, we construct a global remote sensing-based offshore wind turbine (OWT) database derived from Sentinel-1 synthetic aperture radar (SAR) time-series images from 2015 to 2019. We developed a percentile-based yearly SAR image collection reduction and autoadaptive threshold algorithm in the Google Earth Engine platform to identify the spatiotemporal distribution of global OWTs. By 2019, 6,924 wind turbines were constructed in 14 coastal nations. An algorithm performance analysis and validation were performed, and the extraction accuracies exceeded 99% using an independent validation dataset. This dataset could further our understanding of the environmental impact of OWTs and support effective marine spatial planning for sustainable development.
Collapse
Affiliation(s)
- Ting Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200062, Shanghai, China
| | - Bo Tian
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200062, Shanghai, China.
| | - Dhritiraj Sengupta
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200062, Shanghai, China
| | - Lei Zhang
- Department of Traffic Information and Control Engineering, Tongji University, 201804, Shanghai, China
| | - Yali Si
- Institute of Environmental Sciences, Leiden University, 2333 CC, Leiden, Netherlands
| |
Collapse
|
4
|
Rothermel ER, Balazik MT, Best JE, Breece MW, Fox DA, Gahagan BI, Haulsee DE, Higgs AL, O’Brien MHP, Oliver MJ, Park IA, Secor DH. Comparative migration ecology of striped bass and Atlantic sturgeon in the US Southern mid-Atlantic bight flyway. PLoS One 2020; 15:e0234442. [PMID: 32555585 PMCID: PMC7299546 DOI: 10.1371/journal.pone.0234442] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 05/25/2020] [Indexed: 11/24/2022] Open
Abstract
Seasonal migrations are key to the production and persistence of marine fish
populations but movements within shelf migration corridors or, “flyways”, are
poorly known. Atlantic sturgeon and striped bass, two critical anadromous
species, are known for their extensive migrations along the US Mid-Atlantic
Bight. Seasonal patterns of habitat selection have been described within
spawning rivers, estuaries,and shelf foraging habitats, but information on the
location and timing of key coastal migrations is limited. Using a gradient-based
array of acoustic telemetry receivers, we compared the seasonal incidence and
movement behavior of these species in the near-shelf region of Maryland, USA.
Atlantic sturgeon incidence was highest in the spring and fall and tended to be
biased toward shallow regions, while striped bass had increased presence during
spring and winter months and selected deeper waters. Incidence was transient
(mean = ~2 d) for both species with a pattern of increased residency (>2 d)
during autumn and winter, particularly for striped bass, with many individuals
exhibiting prolonged presence on the outer shelf during winter. Flyways also
differed spatially between northern and southern migrations for both species and
were related to temperature: striped bass were more likely to occur in cool
conditions while Atlantic sturgeon preferred warmer temperatures. Observed
timing and spatial distribution within the Mid-Atlantic flyway were dynamic
between years and sensitive to climate variables. As shelf ecosystems come under
increasing maritime development, gridded telemetry designs represent a feasible
approach to provide impact responses within key marine flyways like those that
occur within the US Mid-Atlantic Bight.
Collapse
Affiliation(s)
- Ella R. Rothermel
- Chesapeake Biological Laboratory, University of Maryland Center for
Environmental Science, Solomons, Maryland, United States of
America
- * E-mail:
| | - Matthew T. Balazik
- Environmental Lab, USACE Engineer Research and Development Center,
Vicksburg, Mississippi, United States of America
- Virginia Commonwealth University, Richmond, Virginia, United States of
America
| | - Jessica E. Best
- Department of Natural Resources, Cornell University, Ithaca, New York,
United States of America
- Division of Marine Resources, New York State Department of Environmental
Conservation, New Paltz, New York, United States of America
| | - Matthew W. Breece
- College of Earth, Ocean and the Environment, University of Delaware,
Lewes, Delaware, United States of America
| | - Dewayne A. Fox
- College of Agriculture, Science, and Technology, Delaware State
University, Dover, Delaware, United States of America
| | - Benjamin I. Gahagan
- Massachusetts Division of Marine Fisheries, Gloucester, Massachusetts,
United States of America
| | - Danielle E. Haulsee
- Stanford University, Hopkins Marine Station, Pacific Grove, California,
United States of America
| | - Amanda L. Higgs
- Department of Natural Resources, Cornell University, Ithaca, New York,
United States of America
- Division of Marine Resources, New York State Department of Environmental
Conservation, New Paltz, New York, United States of America
| | - Michael H. P. O’Brien
- Chesapeake Biological Laboratory, University of Maryland Center for
Environmental Science, Solomons, Maryland, United States of
America
| | - Matthew J. Oliver
- College of Earth, Ocean and the Environment, University of Delaware,
Lewes, Delaware, United States of America
| | - Ian A. Park
- Delaware Division of Fish & Wildlife, Smyrna, Delaware, United States
of America
| | - David H. Secor
- Chesapeake Biological Laboratory, University of Maryland Center for
Environmental Science, Solomons, Maryland, United States of
America
| |
Collapse
|