The need for an integrated biodiversity policy support process – Building the European contribution to a global Biodiversity Observation Network (EU BON)

Hoffmann, Anke; Penner, Johannes; Vohland, Katrin; Crämer, Wolfgang; Doubleday, Robert; Henle, Klaus; Kõljalg, Urmas; Kühn, Ingolf; Kunin, William E.; Negro, Juan J.; Penev, Lyubomir; Rodríguez, Carlos; Saarenmaa, Hannu; Schmeller, Dirk S.; Stoev, Pavel; Sutherland, William J.; Tuama, Éamonn Ó; Wetzel, Florian T.; Häuser, Christoph L.

doi:10.3897/natureconservation.6.6498

Cited by 56 publications

(30 citation statements)

References 32 publications

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“…presence-absence, abundance, species interactions, etc. ), specimen data from scientific collections and information on functional and ecological traits (Hobern et al 2013;Hoffmann et al 2014;Schmeller et al 2015). Second, tools and services for EBV calculation, analysis, visualisation and interpretation are needed.…”

Section: Major Challenges For the Global Implementation Of Ebvsmentioning

confidence: 99%

“…The calculation of EBVs requires several components, including (1) the availability of biodiversity data at relevant spatial, temporal and topical scales; (2) appropriate analytical tools and services for calculating, analysing, visualising and interpreting EBVs; and (3) the interoperability of existing biodiversity research infrastructures for integrating biodiversity data and for continuously calculating EBVs on-demand (Geijzendorffer et al forthcoming;Hoffmann et al 2014;Schmeller et al 2015). First, biodiversity data for the calculation of EBVs need to become available and be discovered, e.g.…”

Section: Major Challenges For the Global Implementation Of Ebvsmentioning

confidence: 99%

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Towards global interoperability for supporting biodiversity research on essential biodiversity variables (EBVs)

et al. 2015

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General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Essential biodiversity variables (EBVs) have been proposed by the Group on Earth Observations Biodiversity Observation Network (GEO BON) to identify a minimum set of essential measurements that are required for studying, monitoring and reporting biodiversity and ecosystem change. Despite the initial conceptualisation, however, the practical implementation of EBVs remains challenging. There is much discussion about the concept and implementation of EBVs: which variables are meaningful; which data are needed and available; at which spatial, temporal and topical scales can EBVs be calculated; and how sensitive are EBVs to variations in underlying data? To advance scientific progress in implementing EBVs we propose that both scientists and research infrastructure operators need to cooperate globally to serve and process the essential large datasets for calculating EBVs. We introduce GLOBIS-B (GLOBal Infrastructures for Supporting Biodiversity research), a global cooperation funded by the Horizon 2020 research and innovation framework programme of the European Commission. The main aim of GLOBIS-B is to bring together biodiversity scientists, global research infrastructure operators and legal interoperability experts to identify the research needs and infrastructure services underpinning the concept of EBVs. The project will facilitate the multi-lateral cooperation of biodiversity research infrastructures worldwide and identify the required primary data, analysis tools, methodologies and legal and technical bottlenecks to develop an agenda for research and infrastructure development to compute EBVs. This requires development of standards, protocols and workflows that are 'self-documenting' and openly shared to allow the discovery and analysis of data across large spatial extents and different temporal resolutions. The interoperability of existing biodiversity research infrastructures will be crucial for integrating the necessary biodiversity data to calculate EBVs, and to advance our ability to assess progress towards the Aichi targets for 2020 of the Convention on Biological Diversity (CBD).

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Section: Major Challenges For the Global Implementation Of Ebvsmentioning

confidence: 99%

Section: Major Challenges For the Global Implementation Of Ebvsmentioning

confidence: 99%

Towards global interoperability for supporting biodiversity research on essential biodiversity variables (EBVs)

et al. 2015

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“…GEO BON itself aims to develop 'a global biodiversity observation network that contributes to effective management policies for the world's biodiversity and ecosystem services ' (GEO BON 2016). Like EU BON, EKLIPSE ("Knowledge & Learning Mechanism on Biodiversity and Ecosystem Services") is a project funded by the European Union.…”

Section: Introductionmentioning

confidence: 99%

“…The EU BON ("Building the European Biodiversity Observation Network", (Hoffmann et al 2014) project is the European contribution to GEO BON. GEO BON itself aims to develop 'a global biodiversity observation network that contributes to effective management policies for the world's biodiversity and ecosystem services ' (GEO BON 2016).…”

Section: Introductionmentioning

confidence: 99%

Biodiversity data provision and decision-making - addressing the challenges

Despot-Belmonte¹,

Neßhöver²,

Saarenmaa³

et al. 2017

RIO

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Essential Biodiversity Variables (EBVs) are measurements required for study, reporting, and management of biodiversity change. They are being developed to support consistency, from the collection to the reporting of biodiversity data at the national, regional and global scales. However, "EBV stakeholders" need to strike a balance between 'doing innovative research' and 'having positive impact' on biodiversity management decisions. This paper reports on a workshop entitled Identifying joint pathways to address the challenges ofThis is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.biodiversity data provision and decision-making and presents the main workshop's output, a "researcher's brief" entitled Guiding principles for promoting the application of EBVs for current and future needs of decision-makers. These guiding principles are: Speak with a common voice; Clearly define what is an EBV and how it relates to indicators; Engage beyond the research world; Be realistic about what can be done now and later; Define criteria for good EBVs; Use EBV as a clearing house; Convey the limitations of EBVs; Clarify what impact EBVs should have; Be salient, credible, legitimate, iterative; Don't put an EBV skin on everything you do; Don't create too many EBVs; and Don't reduce EBVs to building blocks of indicators. This brief is of relevance to the wider GEO BON (Group on Earth Observation Biodoversity Observation Network) community, and in particular those scientists/researchers interested in the application of EBVs.

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“…A key feature of EU BON is the delivery of near-real-time data, both from on-ground observation and remote sensing, to the various stakeholders to enable greater interoperability of different data layers and systems, and provide access to improved analytical tools and services; furthermore, EU BON is supporting biodiversity science-policy interfaces, facilitate political decisions for sound environmental management (Hoffmann et al 2014, Wetzel et al 2015. A sound basis for pursuing these goals is the G EOSS 10-year Implementation Plan adopted in 2005, which has outlined a set of Data Sharing Principles (DSPs) (see also Uhlir et al 2009).…”

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confidence: 99%