Global Impacts Dataset of Invasive Alien Species (GIDIAS)

Sven Bacher; Ellen Ryan-Colton; Mario Coiro; Phillip Cassey; Bella S. Galil; Martin A. Nuñez; Michael Ansong; Katharina Dehnen-Schmutz; Georgi Fayvush; Romina D. Fernandez; Ankila J. Hiremath; Makihiko Ikegami; Angeliki F. Martinou; Shana M. McDermott; Cristina Preda; Montserrat Vilà; Olaf L. F. Weyl; Neelavar Ananthram Aravind; Ioanna Angelidou; Katerina Athanasiou; Vidyadhar Atkore; Jacob N. Barney; Tim M. Blackburn; Eckehard G. Brockerhoff; Clinton Carbutt; Luca Carisio; Pilar Castro-Díez; Vanessa Céspedes; Aikaterini Christopoulou; Diego F. Cisneros-Heredia; Meghan Cooling; Maarten de Groot; Jakovos Demetriou; James W. E. Dickey; Virginia G. Duboscq-Carra; Regan Early; Paola T. Flores-Males; Belinda Gallardo; Monica Gruber; Cang Hui; Jonathan M. Jeschke; Natalia Z. Joelson; Mohd Asgar Khan; Sabrina Kumschick; Lori Lach; Katharina Lapin; Simone Lioy; Chunlong Liu; Zoe J. MacMullen; Manuela A. Mazzitelli; John Measey; Agata A. Mrugała-Koese; Camille L. Musseau; Helen F. Nahrung; Alessia Pepori; Luis R. Pertierra; Elizabeth F. Pienaar; Petr Pyšek; Gonzalo Rivas Torres; Henry A. Rojas Martinez; Julissa Rojas-Sandoval; Ned L. Ryan-Schofield; Rocío M. Sánchez; Alberto Santini; Davide Santoro; Riccardo Scalera; Lisanna Schmidt; Tinyiko Cavin Shivambu; Sima Sohrabi; Elena Tricarico; Alejandro Trillo; Pieter van’t Hof; Lara Volery; Tsungai A. Zengeya

doi:10.1038/s41597-025-05184-5

Global Impacts Dataset of Invasive Alien Species (GIDIAS)

Sven Bacher
, Ellen Ryan-Colton
, Mario Coiro
, Phillip Cassey
, Bella S. Galil
, Martin A. Nuñez
, Michael Ansong
, Katharina Dehnen-Schmutz
, Georgi Fayvush
, Romina D. Fernandez
, Ankila J. Hiremath
, Makihiko Ikegami
, Angeliki F. Martinou
, Shana M. McDermott
, Cristina Preda
, Montserrat Vilà
, Olaf L. F. Weyl
, Neelavar Ananthram Aravind
, Ioanna Angelidou
, Katerina Athanasiou

Vidyadhar Atkore, Jacob N. Barney, Tim M. Blackburn, Eckehard G. Brockerhoff, Clinton Carbutt, Luca Carisio, Pilar Castro-Díez, Vanessa Céspedes, Aikaterini Christopoulou, Diego F. Cisneros-Heredia, Meghan Cooling, Maarten de Groot, Jakovos Demetriou, James W. E. Dickey, Virginia G. Duboscq-Carra, Regan Early, Paola T. Flores-Males, Belinda Gallardo, Monica Gruber, Cang Hui, Jonathan M. Jeschke, Natalia Z. Joelson, Mohd Asgar Khan, Sabrina Kumschick, Lori Lach, Katharina Lapin, Simone Lioy, Chunlong Liu, Zoe J. MacMullen, Manuela A. Mazzitelli, John Measey, Agata A. Mrugała-Koese, Camille L. Musseau, Helen F. Nahrung, Alessia Pepori, Luis R. Pertierra, Elizabeth F. Pienaar, Petr Pyšek, Gonzalo Rivas Torres, Henry A. Rojas Martinez, Julissa Rojas-Sandoval, Ned L. Ryan-Schofield, Rocío M. Sánchez, Alberto Santini, Davide Santoro, Riccardo Scalera, Lisanna Schmidt, Tinyiko Cavin Shivambu, Sima Sohrabi, Elena Tricarico, Alejandro Trillo, Pieter van’t Hof, Lara Volery, Tsungai A. Zengeya

Centre for Agroecology, Water and Resilience

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

2 Downloads (Pure)

Abstract

Invasive alien species are a major driver of global change, impacting biodiversity, ecosystem services, and human livelihoods. To document these impacts, we present the Global Impacts Dataset of Invasive Alien Species (GIDIAS), a dataset on the positive, negative and neutral impacts of invasive alien species on nature, nature’s contributions to people, and good quality of life. This dataset arises from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services’ (IPBES) thematic assessment report of this topic. Data were compiled from published sources, including grey literature, reporting a direct observation of an invasive alien species’ impact. All impact records contain up to 52 fields of contextual information and attempt to link impacts to the global standard “environmental impact classification for alien taxa” (EICAT) and “socio-economic impact classification for alien taxa” (SEICAT). GIDIAS includes more than 22000 records of impacts caused by 3353 invasive alien species (plants, vertebrates, invertebrates, microorganisms) from all continents and realms (terrestrial, freshwater, marine), extracted from over 6700 sources. We intend GIDIAS to be a global resource for investigating and managing the variety of impacts of invasive alien species across taxa and regions.

Original language	English
Article number	832
Number of pages	10
Journal	Scientific data
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41597-025-05184-5
Publication status	Published - 21 May 2025

Bibliographical note

This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited

Funding

We are grateful to Baptiste Michel, Ben Stammers, Bianca L. Hagen, Bj\u00F6rn C. Beckmann, Bram Koese, Bruce R. Ellender, Carla Wagener, Carlos Pazmino, Colleen T. Downs, Cristhian Andrade, Dolores Ardanaz, Douglas H. Boyes, Ester Mostert, Georgia K. Roberts, Imogen Cavadino, James Baxter-Gilbert, Johann Cheseaux, Julie A. Coetzee, Laura Zinnert, Maddie Harris, Matias Rusconi, Melannie N\u00FA\u00F1ez Le\u00F3n, Mhairi E. Alexander, Micaela Medina, Milena Canpa\u00F1a, Ndivhuwo Shivambu, Nitya Prakash Mohanty, Philip Ivey, Ryan J. Wasserman, Sara Straffon, Sean M. Marr, Shaun R. Coutts, Stefanie Buchter and Wolfgang Nentwig for assisting the compilation of data. We are also indebted to J\u00E9r\u00F4me Gippet for commenting on the draft and drawing the figure and to Hanno Seebens for providing updated taxonomy and participating in the validation processes. Special thanks go to the Technical Support Unit of the IPBES IAS Assessment, particularly to Tanara Renard-Truong, for helping to coordinate the project and for outstanding administrative support. S.B. acknowledges funding from the Swiss National Science Foundation (grants 31003A_179491 and 31BD30_184114). G.F. acknowledges funding from the Higher Education and Science Committee (grant AG-1F004). M.V. acknowledges funding from the Belmont Forum\u2014BiodivERsA International joint call under the BiodivScen ERA-Net COFUND program (PCI2018-092939, PCI2018-092986 funded by MCI/AEI/FEDER); by RADIOPOPO (PDI2021-122690OB-100 funded by MCIN/AEI/10.13039/501100011033/FEDER, UE); and SUMHAL (LIFEWATCH-2019-09-CSIC-4, POPE 2014\u20132020 funded through the European Regional Development Fund).

Funders	Funder number
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung	31BD30_184114, 31003A_179491
Higher Education and Science Committee	PCI2018-092939, PCI2018-092986, AG-1F004
European Regional Development Fund
Belmont Forum

Themes

Biodiversity, Ecology and Society

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41597-025-05184-5Licence: CC BY

Dehnen-Schmutz2025VORFinal published version, 1.74 MBLicence: CC BY

Cite this

Bacher, S., Ryan-Colton, E., Coiro, M., Cassey, P., Galil, B. S., Nuñez, M. A., Ansong, M., Dehnen-Schmutz, K., Fayvush, G., Fernandez, R. D., Hiremath, A. J., Ikegami, M., Martinou, A. F., McDermott, S. M., Preda, C., Vilà, M., Weyl, O. L. F., Aravind, N. A., Angelidou, I., ... Zengeya, T. A. (2025). Global Impacts Dataset of Invasive Alien Species (GIDIAS). Scientific data, 12(1), Article 832. https://doi.org/10.1038/s41597-025-05184-5

Bacher, S, Ryan-Colton, E, Coiro, M, Cassey, P, Galil, BS, Nuñez, MA, Ansong, M, Dehnen-Schmutz, K, Fayvush, G, Fernandez, RD, Hiremath, AJ, Ikegami, M, Martinou, AF, McDermott, SM, Preda, C, Vilà, M, Weyl, OLF, Aravind, NA, Angelidou, I, Athanasiou, K, Atkore, V, Barney, JN, Blackburn, TM, Brockerhoff, EG, Carbutt, C, Carisio, L, Castro-Díez, P, Céspedes, V, Christopoulou, A, Cisneros-Heredia, DF, Cooling, M, de Groot, M, Demetriou, J, Dickey, JWE, Duboscq-Carra, VG, Early, R, Flores-Males, PT, Gallardo, B, Gruber, M, Hui, C, Jeschke, JM, Joelson, NZ, Khan, MA, Kumschick, S, Lach, L, Lapin, K, Lioy, S, Liu, C, MacMullen, ZJ, Mazzitelli, MA, Measey, J, Mrugała-Koese, AA, Musseau, CL, Nahrung, HF, Pepori, A, Pertierra, LR, Pienaar, EF, Pyšek, P, Torres, GR, Martinez, HAR, Rojas-Sandoval, J, Ryan-Schofield, NL, Sánchez, RM, Santini, A, Santoro, D, Scalera, R, Schmidt, L, Shivambu, TC, Sohrabi, S, Tricarico, E, Trillo, A, Hof, PV, Volery, L & Zengeya, TA 2025, 'Global Impacts Dataset of Invasive Alien Species (GIDIAS)', Scientific data, vol. 12, no. 1, 832. https://doi.org/10.1038/s41597-025-05184-5

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title = "Global Impacts Dataset of Invasive Alien Species (GIDIAS)",

abstract = "Invasive alien species are a major driver of global change, impacting biodiversity, ecosystem services, and human livelihoods. To document these impacts, we present the Global Impacts Dataset of Invasive Alien Species (GIDIAS), a dataset on the positive, negative and neutral impacts of invasive alien species on nature, nature{\textquoteright}s contributions to people, and good quality of life. This dataset arises from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services{\textquoteright} (IPBES) thematic assessment report of this topic. Data were compiled from published sources, including grey literature, reporting a direct observation of an invasive alien species{\textquoteright} impact. All impact records contain up to 52 fields of contextual information and attempt to link impacts to the global standard “environmental impact classification for alien taxa” (EICAT) and “socio-economic impact classification for alien taxa” (SEICAT). GIDIAS includes more than 22000 records of impacts caused by 3353 invasive alien species (plants, vertebrates, invertebrates, microorganisms) from all continents and realms (terrestrial, freshwater, marine), extracted from over 6700 sources. We intend GIDIAS to be a global resource for investigating and managing the variety of impacts of invasive alien species across taxa and regions.",

author = "Sven Bacher and Ellen Ryan-Colton and Mario Coiro and Phillip Cassey and Galil, \{Bella S.\} and Nu{\~n}ez, \{Martin A.\} and Michael Ansong and Katharina Dehnen-Schmutz and Georgi Fayvush and Fernandez, \{Romina D.\} and Hiremath, \{Ankila J.\} and Makihiko Ikegami and Martinou, \{Angeliki F.\} and McDermott, \{Shana M.\} and Cristina Preda and Montserrat Vil{\`a} and Weyl, \{Olaf L. F.\} and Aravind, \{Neelavar Ananthram\} and Ioanna Angelidou and Katerina Athanasiou and Vidyadhar Atkore and Barney, \{Jacob N.\} and Blackburn, \{Tim M.\} and Brockerhoff, \{Eckehard G.\} and Clinton Carbutt and Luca Carisio and Pilar Castro-D{\'i}ez and Vanessa C{\'e}spedes and Aikaterini Christopoulou and Cisneros-Heredia, \{Diego F.\} and Meghan Cooling and \{de Groot\}, Maarten and Jakovos Demetriou and Dickey, \{James W. E.\} and Duboscq-Carra, \{Virginia G.\} and Regan Early and Flores-Males, \{Paola T.\} and Belinda Gallardo and Monica Gruber and Cang Hui and Jeschke, \{Jonathan M.\} and Joelson, \{Natalia Z.\} and Khan, \{Mohd Asgar\} and Sabrina Kumschick and Lori Lach and Katharina Lapin and Simone Lioy and Chunlong Liu and MacMullen, \{Zoe J.\} and Mazzitelli, \{Manuela A.\} and John Measey and Mruga{\l}a-Koese, \{Agata A.\} and Musseau, \{Camille L.\} and Nahrung, \{Helen F.\} and Alessia Pepori and Pertierra, \{Luis R.\} and Pienaar, \{Elizabeth F.\} and Petr Py{\v s}ek and Torres, \{Gonzalo Rivas\} and Martinez, \{Henry A. Rojas\} and Julissa Rojas-Sandoval and Ryan-Schofield, \{Ned L.\} and S{\'a}nchez, \{Roc{\'i}o M.\} and Alberto Santini and Davide Santoro and Riccardo Scalera and Lisanna Schmidt and Shivambu, \{Tinyiko Cavin\} and Sima Sohrabi and Elena Tricarico and Alejandro Trillo and Hof, \{Pieter van{\textquoteright}t\} and Lara Volery and Zengeya, \{Tsungai A.\}",

note = "This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited",

year = "2025",

month = may,

day = "21",

doi = "10.1038/s41597-025-05184-5",

language = "English",

volume = "12",

journal = "Scientific data",

issn = "2052-4463",

publisher = "Nature Research",

number = "1",

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TY - JOUR

T1 - Global Impacts Dataset of Invasive Alien Species (GIDIAS)

AU - Bacher, Sven

AU - Ryan-Colton, Ellen

AU - Coiro, Mario

AU - Cassey, Phillip

AU - Galil, Bella S.

AU - Nuñez, Martin A.

AU - Ansong, Michael

AU - Dehnen-Schmutz, Katharina

AU - Fayvush, Georgi

AU - Fernandez, Romina D.

AU - Hiremath, Ankila J.

AU - Ikegami, Makihiko

AU - Martinou, Angeliki F.

AU - McDermott, Shana M.

AU - Preda, Cristina

AU - Vilà, Montserrat

AU - Weyl, Olaf L. F.

AU - Aravind, Neelavar Ananthram

AU - Angelidou, Ioanna

AU - Athanasiou, Katerina

AU - Atkore, Vidyadhar

AU - Barney, Jacob N.

AU - Blackburn, Tim M.

AU - Brockerhoff, Eckehard G.

AU - Carbutt, Clinton

AU - Carisio, Luca

AU - Castro-Díez, Pilar

AU - Céspedes, Vanessa

AU - Christopoulou, Aikaterini

AU - Cisneros-Heredia, Diego F.

AU - Cooling, Meghan

AU - de Groot, Maarten

AU - Demetriou, Jakovos

AU - Dickey, James W. E.

AU - Duboscq-Carra, Virginia G.

AU - Early, Regan

AU - Flores-Males, Paola T.

AU - Gallardo, Belinda

AU - Gruber, Monica

AU - Hui, Cang

AU - Jeschke, Jonathan M.

AU - Joelson, Natalia Z.

AU - Khan, Mohd Asgar

AU - Kumschick, Sabrina

AU - Lach, Lori

AU - Lapin, Katharina

AU - Lioy, Simone

AU - Liu, Chunlong

AU - MacMullen, Zoe J.

AU - Mazzitelli, Manuela A.

AU - Measey, John

AU - Mrugała-Koese, Agata A.

AU - Musseau, Camille L.

AU - Nahrung, Helen F.

AU - Pepori, Alessia

AU - Pertierra, Luis R.

AU - Pienaar, Elizabeth F.

AU - Pyšek, Petr

AU - Torres, Gonzalo Rivas

AU - Martinez, Henry A. Rojas

AU - Rojas-Sandoval, Julissa

AU - Ryan-Schofield, Ned L.

AU - Sánchez, Rocío M.

AU - Santini, Alberto

AU - Santoro, Davide

AU - Scalera, Riccardo

AU - Schmidt, Lisanna

AU - Shivambu, Tinyiko Cavin

AU - Sohrabi, Sima

AU - Tricarico, Elena

AU - Trillo, Alejandro

AU - Hof, Pieter van’t

AU - Volery, Lara

AU - Zengeya, Tsungai A.

N1 - This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

PY - 2025/5/21

Y1 - 2025/5/21

N2 - Invasive alien species are a major driver of global change, impacting biodiversity, ecosystem services, and human livelihoods. To document these impacts, we present the Global Impacts Dataset of Invasive Alien Species (GIDIAS), a dataset on the positive, negative and neutral impacts of invasive alien species on nature, nature’s contributions to people, and good quality of life. This dataset arises from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services’ (IPBES) thematic assessment report of this topic. Data were compiled from published sources, including grey literature, reporting a direct observation of an invasive alien species’ impact. All impact records contain up to 52 fields of contextual information and attempt to link impacts to the global standard “environmental impact classification for alien taxa” (EICAT) and “socio-economic impact classification for alien taxa” (SEICAT). GIDIAS includes more than 22000 records of impacts caused by 3353 invasive alien species (plants, vertebrates, invertebrates, microorganisms) from all continents and realms (terrestrial, freshwater, marine), extracted from over 6700 sources. We intend GIDIAS to be a global resource for investigating and managing the variety of impacts of invasive alien species across taxa and regions.

AB - Invasive alien species are a major driver of global change, impacting biodiversity, ecosystem services, and human livelihoods. To document these impacts, we present the Global Impacts Dataset of Invasive Alien Species (GIDIAS), a dataset on the positive, negative and neutral impacts of invasive alien species on nature, nature’s contributions to people, and good quality of life. This dataset arises from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services’ (IPBES) thematic assessment report of this topic. Data were compiled from published sources, including grey literature, reporting a direct observation of an invasive alien species’ impact. All impact records contain up to 52 fields of contextual information and attempt to link impacts to the global standard “environmental impact classification for alien taxa” (EICAT) and “socio-economic impact classification for alien taxa” (SEICAT). GIDIAS includes more than 22000 records of impacts caused by 3353 invasive alien species (plants, vertebrates, invertebrates, microorganisms) from all continents and realms (terrestrial, freshwater, marine), extracted from over 6700 sources. We intend GIDIAS to be a global resource for investigating and managing the variety of impacts of invasive alien species across taxa and regions.

UR - https://www.scopus.com/pages/publications/105005973280

U2 - 10.1038/s41597-025-05184-5

DO - 10.1038/s41597-025-05184-5

M3 - Article

SN - 2052-4463

VL - 12

JO - Scientific data

JF - Scientific data

IS - 1

M1 - 832

ER -

Global Impacts Dataset of Invasive Alien Species (GIDIAS)

Abstract

Bibliographical note

Funding

Themes

UN SDGs

Access to Document

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Cite this