Library

Deliverable

D1.2 Plan for Exploitation, Dissemination and Communication

Authors: Yovcheva N., Metodiev T.

Status: Approved

Year: 2023

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Deliverable

D1.3 Data Management Plan

Authors: Yovcheva N., et al.

Status: Approved

Year: 2023

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Other

B-Cubed: Leveraging analysis-ready biodiversity datasets and cloud computing for timely and actionable biodiversity monitoring

Authors: Groom Q., Abraham L., Adriaens T., Breugelmans L., Clarke D.A., et al.

Status: Published

Year: 2023

URL/DOI: https://doi.org/10.3897/biss.7.110734

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Deliverable

D2.1 Specification for species occurrence cubes and their production

Authors: Desmet P., Oldoni D., Blissett M., Robertson T.

Status: Approved

Year: 2023

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Journal paper

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

Authors: Hui C., Pyšek P., Richardson D.M.

Status: Published

Year: 2023

Journal: npj Biodiversity

Volume/Issue: 2

URL/DOI: https://doi.org/10.1038/s44185-023-00019-1

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Other

A kernel integral method to remove biases in estimating trait turnover

Authors: Latombe G., Boittiaux P., Hui C., McGeoch M.

Status: Published

Year: 2023

URL/DOI: https://doi.org/10.1101/2023.03.28.534538

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Report

The status of biological invasions and their management in South Africa in 2022

Authors: Zengeya T.A., Wilson J.R.

Status: Published

Year: 2023

URL/DOI: https://zenodo.org/records/8217182

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Other

DASCO: A workflow to downscale alien species checklists using occurrence records and to re-allocate species distributions across realms

Authors: Seebens H., Kaplan E.

Status: Published

Year: 2022

Publisher: Neobiota

URL/DOI: https://doi.org/10.3897/neobiota.74.81082

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Other

Policy-relevant indicators for invasive alien species assessment and reporting

Authors: McGeoch M., Arlé E., Belmaker J., Buba Y., Clarke D., et al

Status: Published

Year: 2021

Journal: bioRxiv

URL/DOI: https://www.biorxiv.org/content/10.1101/2021.08.26.457851v1

Journal paper

A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America

Authors: Estupinan-Suarez L.M., Gans F., Brenning A., Gutierrez-Velez V.H., Londono M.C., Pabon-Moreno D.E., Poveda G., Reichstein M., Reu B., Sierra C.A., Weber U., Mahecha M.D.

Status: Published

Year: 2021

Journal: Frontiers in Earth Science

Volume/Issue: 9

URL/DOI: https://doi.org/10.3389/feart.2021.613395

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Journal paper

Holistic understanding of contemporary ecosystems requires integration of data on domesticated, captive and cultivated organisms

Authors: Groom Q., Adriaens T., Bertolino S., Phelps K., Poelen J.H., et al.

Status: Published

Year: 2021

Journal: Biodiversity Data Journal

Volume/Issue: 9

URL/DOI: https://doi.org/10.3897/BDJ.9.e65371

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Journal paper

Data integration enables global biodiversity synthesis

Authors: Heberling M., Miller J., Noesgaard D., Weingart S., Schigel D.

Status: Published

Year: 2021

Journal: PNAS

Volume/Issue: 118 (6)

URL/DOI: https://doi.org/10.1073/pnas.2018093118

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Journal paper

A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions

Authors: Vilizzi L., Copp G., Hill J., Adamovich B., Aislabie L., et al.

Status: Published

Year: 2021

Journal: Science of The Total Environment

Volume/Issue: 788

URL/DOI: https://doi.org/10.1016/j.scitotenv.2021.147868

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Report

The Status of Biological Invasions and their Management in South Africa in 2019

Authors: Zengeya T.A., Wilson J.R.

Status: Published

Year: 2021

URL/DOI: https://doi.org/10.5281/zenodo.3947613

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Journal paper

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

Authors: Deneu B., Servajean M., Bonnet P., Botella C., Munoz F., Joly A.

Status: Published

Year: 2021

Journal: PLoS Comput Biol

Volume/Issue: 17(4)

URL/DOI: https://doi.org/10.1371/journal.pcbi.1008856

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D1.2 Plan for Exploitation, Dissemination and Communication

D1.3 Data Management Plan

B-Cubed: Leveraging analysis-ready biodiversity datasets and cloud computing for timely and actionable biodiversity monitoring

D2.1 Specification for species occurrence cubes and their production

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

A kernel integral method to remove biases in estimating trait turnover

The status of biological invasions and their management in South Africa in 2022

﻿DASCO: A workflow to downscale alien species checklists using occurrence records and to re-allocate species distributions across realms

Policy-relevant indicators for invasive alien species assessment and reporting

A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America

Holistic understanding of contemporary ecosystems requires integration of data on domesticated, captive and cultivated organisms

Data integration enables global biodiversity synthesis

A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions

The Status of Biological Invasions and their Management in South Africa in 2019

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

DASCO: A workflow to downscale alien species checklists using occurrence records and to re-allocate species distributions across realms