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Biodiversity Building Blocks for policy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Software specifications

Documented specification of species occurrence cube format, algorithms, parameterization and metadata. This deliverable will ensure that the species occurrence cube format is interoperable with other data cube data, particularly cubes of environmental variables. It will specify which parameters should be configurable and the default values for these parameters.

Work plan and SOP

Project Work Plan and Standard Operational Procedures that will expand upon the plan outlined in the proposal.

Publications

Mapping potential environmental impacts of alien species in the face of climate change

Author(s): Sabrina Kumschick, Lysandre Journiac, Océane Boulesnane-Genguant, Christophe Botella, Robin Pouteau, Mathieu Rouget
Published in: Biological Invasions, Issue 27, 2025, ISSN 1387-3547
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/s10530-024-03490-4

A quixotic view of spatial bias in modelling the distribution of species and their diversity

Author(s): Rocchini, D., Tordoni, E., Marchetto, E. et al.
Published in: npj biodiversity, Issue 2, 2023, ISSN 2731-4243
Publisher: Springer Nature
DOI: 10.1038/s44185-023-00014-6

Considerations for developing and implementing a safe list for alien taxa

Author(s): Kumschick S, Fernandez Winzer L, McCulloch-Jones EJ, Chetty D, Fried J, Govender T, Potgieter LJ, Rapetsoa MC, Richardson DM, van Velden J, van der Colff D, Miza S, Wilson JRU
Published in: Bioscience, Issue 74 (2), 2024, ISSN 1525-3244
Publisher: Oxford University Press
DOI: 10.1093/biosci/biad118

Disentangling the relationships among abundance, invasiveness and invasibility in trait space

Author(s): Hui, C., Pyek, P. & Richardson, D.M.
Published in: npj Biodiversity, Issue 2, 2023, ISSN 2731-4243
Publisher: Springer Nature
DOI: 10.1038/s44185-023-00019-1

Editorial: Biodiversity informatics: building a lifeboat for high functionality data to decision pipeline

Author(s): Hui, C., MacFadyen, S., Visser, V., Groom, Q., & Isaac, N.J.B.
Published in: Frontiers in Ecology & Evolution, Issue 12, 2024, ISSN 2296-701X
Publisher: Frontiers
DOI: 10.3389/fevo.2024.1386917

Methods in Ecology and Evolution

Author(s): Latombe, G., Boittiaux, P., Hui, C., & McGeoch, M.
Published in: Methods in Ecology & Evolution, Issue 15 (4), 2024, ISSN 2041-210X
Publisher: Wiley
DOI: 10.1111/2041-210X.14246

On the mathematical properties of spatial Raos Q to compute ecosystem heterogeneity

Author(s): Duccio Rocchini, Michele Torresani, Carlo Ricotta
Published in: Theoretical Ecology, Issue 17, 2024, ISSN 1874-1738
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/s12080-024-00587-3

One-hectare fine-scale dataset of a fynbos plant community in the Cape Floristic Region

Author(s): Jan-Hendrik Keet, Cang Hui
Published in: Data in Brief, Issue 59, 2025, ISSN 2352-3409
Publisher: Elsevier BV
DOI: 10.1016/j.dib.2025.111334

Under the mantra: Make use of colorblind friendly graphs

Author(s): Rocchini, D.; Chieffallo, L; Thouverai, E;
Published in: Environmetrics, Issue 6, 2024, ISSN 1099-095X
Publisher: John Wiley & Sons Ltd
DOI: 10.1002/env.2877

USE it: Uniformly sampling pseudo-absences within the environmental space for applications in habitat suitability models

Author(s): Da Re, D., Tordoni, E., Lenoir, J.,Lembrechts, J. J., Vanwambeke, S. O., Rocchini, D., &Bazzichetto, M.
Published in: Methods in Ecology and Evolution, Issue 14, 2023, ISSN 2041-210X
Publisher: British Ecological Society
DOI: 10.1111/2041-210X.14209

An analysis of sex ratios using a biodiversity data cube

Author(s): Groom, Q. J., & Trekels, M.
Published in: BioHackrXiv Preprints, 2024
Publisher: BioHackrXiv
DOI: 10.37044/osf.io/9kcfx

Extinction potential from invasive alien species

Author(s): Martin Philippe-Lesaffre, Ugo Arbieu, Alok Bang, Morelia Camacho, Ross N. Cuthbert, Piero Genovesi, Sabrina Kumschick, Arman Pili, Hanno Seebens, Shengyu Wang, Guillaume Latombe
Published in: 2024
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2024.09.01.610685

Unveiling ecological dynamics through simulation and visualization of biodiversity data cubes

Author(s): Ward Langeraert, Wissam Barhdadi, Dimitri Brosens, Roco Corts, Peter Desmet, Michele Di Musciano, Chandra Earl, Sanne Govaert, Pieter Huybrechts, Matilde Martini, Arthur Vincius Rodrigues, Annegreet Veeken, Mukhtar Muhammed Yahaya, Toon Van Daele
Published in: 2024
Publisher: Center for Open Science
DOI: 10.37044/osf.io/vcyr7

Mapping impacts of alien species on biodiversity in the face of climate change

Author(s): Kumschick, S., Journiac, L., Boulesnane-Genguant, O., Botella, C., Pouteau, R., Rouget, M.
Published in: Research Square, 2024, ISSN 2693-5015
Publisher: Research Square
DOI: 10.21203/rs.3.rs-4437291/v1

B-Cubed: Leveraging Analysis-Ready Biodiversity Datasets and Cloud Computing for Timely and Actionable Biodiversity Monitoring

Author(s): Groom Q, Abraham L, Adriaens T, Breugelmans L, Clarke DA, Fernndez MA, Hendrickx L, Hui C, Kumschick S, Martini M, McGeoch M, Metodiev T, Miller J, Oldoni D, Pereira HM, Preda C, Robertson T, Rocchini D, Seebens H, Teixeira H, Trekels M, Wilson JR, Yovch
Published in: Biodiversity Information Science and Standards, Issue 7, 2023, ISSN 2535-0897
Publisher: Pensoft Publishers
DOI: 10.3897/biss.7.110734

Extinction potential from invasive alien species

Author(s): Martin, P.-L., Arbieu, U., Bang, A., Camacho, M., Cuthbert, R. N., Genovesi, P., Kumschick, S., Pili, A., Seebens, H., Wang, S., Latombe, G.
Published in: bioRxiv, 2024
Publisher: Cold Spring Harbor Laboratory

A kernel integral method to remove biases in estimating trait turnover

Author(s): Guillaume Latombe, Paul Boittiaux, Cang Hui, Melodie McGeoch
Published in: 2023
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2023.03.28.534538

Applying the maximum entropy principle to neural networks enhances multi-species distribution models

Author(s): Ryckewaert, M., Marcos, D., Botella, C., Servajean, M., Bonnet, P., Joly, A.
Published in: 2024
Publisher: arxiv
DOI: 10.48550/arXiv.2412.19217

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