The status and future of essential geodiversity variables.

environmental policy essential variables geodiversity natural resource management

Journal

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
ISSN: 1471-2962
Titre abrégé: Philos Trans A Math Phys Eng Sci
Pays: England
ID NLM: 101133385

Informations de publication

Date de publication:
Apr 2024
Historique:
medline: 12 2 2024
pubmed: 12 2 2024
entrez: 11 2 2024
Statut: ppublish

Résumé

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

Identifiants

pubmed: 38342208
doi: 10.1098/rsta.2023.0052
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

20230052

Auteurs

Franziska Schrodt (F)

School of Geography, University of Nottingham, Nottingham NG7 2RD, UK.

Grant Vernham (G)

School of Geography, University of Nottingham, Nottingham NG7 2RD, UK.

Joseph Bailey (J)

Department of Biology, Anglia Ruskin University - Cambridge Campus, Cambridge, Cambridgeshire CB1 1PT, UK.

Richard Field (R)

School of Geography, University of Nottingham, Nottingham NG7 2RD, UK.

John E Gordon (JE)

School of Geography and Sustainable Development, University of St Andrews, St Andrews KY169AL, UK.

Murray Gray (M)

Queen Mary University of London, London E1 4NS, UK.

Jan Hjort (J)

Geography Research Unit, University of Oulu, Oulu 90570, Finland.

Carina Hoorn (C)

Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam 1000 GG, The Netherlands.

Malcom L Hunter (ML)

Department of Wildlife, Fisheries, and Conservation Biology, University of Maine, Maine, USA.

Jonathan Larwood (J)

Strategy and Governance, Natural England, Peterborough, Cambridgeshire PE2 8YY, UK.

Angela Lausch (A)

Computational Landscape Ecology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Saxony 04318, Germany.

Manu Monge-Ganuzas (M)

Geoheritage Commission, Spanish Geological Society, Busturia, Biscay 48350, Spain.

Stephanie Miller (S)

School of Biology and Ecology; Mitchell Center for Sustainability Solutions, The University of Maine, Orono, ME 04469-5751, USA.

Derk van Ree (D)

Geo-engineering, Deltares, Delft 2600 MH, The Netherlands.
Environmental Economics, Vrije Universiteit Amsterdam Faculteit der Betawetenschappen, Amsterdam, The Netherlands.

Arie Christoffel Seijmonsbergen (AC)

Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, Noord-Holland 1090 GE, The Netherlands.

Phoebe L Zarnetske (PL)

Department of Integrative Biology, Michigan State University, East Lansing, MI 48824-1312, USA.

W Daniel Kissling (W)

Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, Noord-Holland 1090 GE, The Netherlands.

Classifications MeSH