The status and future of essential geodiversity variables
Schrodt, Franziska; Vernham, Grant; Bailey, Joseph; Field, Richard; Gordon, John E; Gray, Murray; Hjort, Jan; Hoorn, Carina; Hunter, Malcom L; Larwood, Jonathan; Lausch, Angela; Monge-Ganuzas, Manu; Miller, Stephanie; van Ree, Derk; Seijmonsbergen, Arie Christoffel; Zarnetske, Phoebe L; Daniel Kissling, W (2024-02-12)
Schrodt, Franziska
Vernham, Grant
Bailey, Joseph
Field, Richard
Gordon, John E
Gray, Murray
Hjort, Jan
Hoorn, Carina
Hunter, Malcom L
Larwood, Jonathan
Lausch, Angela
Monge-Ganuzas, Manu
Miller, Stephanie
van Ree, Derk
Seijmonsbergen, Arie Christoffel
Zarnetske, Phoebe L
Daniel Kissling, W
Royal Society Publishing
12.02.2024
Schrodt Fet al.2024 The status and future of essential geodiversity variables. Phil. Trans. R. Soc. A382: 20230052. https://doi.org/10.1098/rsta.2023.0052
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202402231969
https://urn.fi/URN:NBN:fi:oulu-202402231969
Tiivistelmä
Abstract
Rapid environmental change, natural resource overconsumption and increasing concerns about ecological sustainability have led to the development of ‘Essential Variables' (EVs). EVs are harmonized data products to inform policy and to enable effective management of natural resources by monitoring global changes. Recent years have seen the instigation of new EVs beyond those established for climate, oceans and biodiversity (ECVs, EOVs and EBVs), including Essential Geodiversity Variables (EGVs). EGVs aim to consistently quantify and monitor heterogeneity of Earth-surface and subsurface abiotic features, including geology, geomorphology, hydrology and pedology. Here we assess the status and future development of EGVs to better incorporate geodiversity into policy and sustainable management of natural resources. Getting EGVs operational requires better consensus on defining geodiversity, investments into a governance structure and open platform for curating the development of EGVs, advances in harmonizing in situ measurements and linking heterogeneous databases, and development of open and accessible computational workflows for global digital mapping using machine-learning techniques. Cross-disciplinary collaboration and partnerships with governmental and private organizations are needed to ensure the successful development and uptake of EGVs across science and policy.
This article is part of the Theo Murphy meeting issue ‘Geodiversity for science and society’.
Rapid environmental change, natural resource overconsumption and increasing concerns about ecological sustainability have led to the development of ‘Essential Variables' (EVs). EVs are harmonized data products to inform policy and to enable effective management of natural resources by monitoring global changes. Recent years have seen the instigation of new EVs beyond those established for climate, oceans and biodiversity (ECVs, EOVs and EBVs), including Essential Geodiversity Variables (EGVs). EGVs aim to consistently quantify and monitor heterogeneity of Earth-surface and subsurface abiotic features, including geology, geomorphology, hydrology and pedology. Here we assess the status and future development of EGVs to better incorporate geodiversity into policy and sustainable management of natural resources. Getting EGVs operational requires better consensus on defining geodiversity, investments into a governance structure and open platform for curating the development of EGVs, advances in harmonizing in situ measurements and linking heterogeneous databases, and development of open and accessible computational workflows for global digital mapping using machine-learning techniques. Cross-disciplinary collaboration and partnerships with governmental and private organizations are needed to ensure the successful development and uptake of EGVs across science and policy.
This article is part of the Theo Murphy meeting issue ‘Geodiversity for science and society’.
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