Meteorological Data Policies Needed to Support Biodiversity Monitoring with Weather Radar

Judy Shamoun-Baranes*, Silke Bauer*, Jason W. Chapman, Peter Desmet, Adriaan M. Dokter, Andrew Farnsworth, Hans van Gasteren, Birgen Haest, Jarmo Koistinen, Bart Kranstauber, Felix Liechti, Tom H. E. Mason, Cecilia Nilsson, Raphael Nussbaumer, Baptiste Schmid, Nadja Weisshaupt, Hidde Leijnse

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Abstract

Weather radar networks have great potential for continuous and long-term monitoring of aerial biodiversity of birds, bats, and insects. Biological data from weather radars can support ecological research, inform conservation policy development and implementation, and increase the public’s interest in natural phenomena such as migration. Weather radars are already used to study animal migration, quantify changes in populations, and reduce aerial conflicts between birds and aircraft. Yet efforts to establish a framework for the broad utilization of operational weather radar for biodiversity monitoring are at risk without suitable data policies and infrastructure in place. In Europe, communities of meteorologists and ecologists have made joint efforts toward sharing and standardizing continent-wide weather radar data. These efforts are now at risk as new meteorological data exchange policies render data useless for biodiversity monitoring. In several other parts of the world, weather radar data are not even available for ecological research. We urge policy makers, funding agencies, and meteorological organizations across the world to recognize the full potential of weather radar data. We propose several actions that would ensure the continued capability of weather radar networks worldwide to act as powerful tools for biodiversity monitoring and research.

OriginalsprogEngelsk
TidsskriftBulletin of the American Meteorological Society
Vol/bind103
Udgave nummer4
Sider (fra-til)E1234-E1242
ISSN0003-0007
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
Acknowledgments. GloBAM is funded through the 2017–18 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND programme, and with the funding organizations the Swiss National Science Foundation (SNF 31BD30_184120), the Belgian Federal Science Policy Office (BelSPO BR/185/A1/GloBAM-BE), the Netherlands Organisation for Scientific Research (NWO E10008), the Academy of Finland (aka 326315), and the National Science Foundation (NSF 1927743, NSF 2017817). Additional funding is provided by the European Union’s Horizon 2020 research and innovation programme for the EuropaBON project (101003553), European Union’s Horizon 2020 Marie Skłodowska-Curie grant (844360), Leon Levy Foundation, Lyda Hill Philanthropies, USGS. We thank Günther Haase (SMHI) for feedback on an earlier version of this manuscript. SB, JSB, and HL conceived and led the paper; all coauthors contributed to the contents and agreed on the submission. The authors declare no competing interests.

Publisher Copyright:
©2022 American Meteorological Society

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