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; Thomas E. Evans; 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, Thomas E. Evans, 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

^*Corresponding author for this work

University of Fribourg
Charles Darwin University
Senckenberg Gesellschaft für Naturforschung
Adelaide University
Tel Aviv University
University of Houston
Kwame Nkrumah University of Science and Technology
Coventry University
National Academy of Sciences of the Republic of Armenia
Instituto de Ecología Regional
Ashoka Trust for Research in Ecology and the Environment
National Institute for Environmental Studies of Japan
The Cyprus Institute
University of Missouri
Ovidius University of Constanta
University of Seville
CSIC - Doñana Biological Station
National Research Foundation
Joint Services Health Unit
Salim Ali Centre for Ornithology and Natural History (SACON)
Virginia Polytechnic Institute and State University
University College London
Zoological Society of London Institute of Zoology
Swiss Federal Institute for Forest, Snow and Landscape Research
University of KwaZulu-Natal
Experimental Zooprophylactic Institute of Piedmont, Liguria and the Aosta Valley
University of Alcalá
National and Kapodistrian University of Athens
Victoria University of Wellington
Slovenian Forestry Institute
Leibniz-Institute of Freshwater Ecology and Inland Fisheries
Free University of Berlin
Helmholtz Centre for Ocean Research Kiel
Universidad Nacional de La Plata
University of Exeter
Universidad San Francisco de Quito
CSIC - Pyrenean Institute of Ecology
Stellenbosch University
University of Göttingen
University of Kashmir
South African National Biodiversity Institute
James Cook University Queensland
Natural Hazards and Landscape (BFW)
University of Turin
Ocean University of China
Universidad de Tierra del Fuego
Yunnan University
University of the Sunshine Coast
National Research Council of Italy
CSIC - National Museum of Natural Sciences
University of Georgia
Czech Academy of Sciences
University of Connecticut
Universidad Nacional de Córdoba
Ministry for Primary Industries, New Zealand
IUCN/SSC Invasive Species Specialist Group
Estonian Academy of Arts
University of South Africa
Ferdowsi University of Mashhad
University of Florence
University of Pretoria

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

29 Scopus citations

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
Journal	Scientific Data
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41597-025-05184-5
State	Published - Dec 2025

UN SDGs

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

SDG 14 Life Below Water
SDG 15 Life on Land

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10.1038/s41597-025-05184-5

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

@article{80e7af5a0d02461998e49f4c3f4f7bb7,

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 {\textquotedblleft}environmental impact classification for alien taxa{\textquotedblright} (EICAT) and {\textquotedblleft}socio-economic impact classification for alien taxa{\textquotedblright} (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 Evans, \{Thomas E.\} 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 \{Rivas Torres\}, Gonzalo and \{Rojas Martinez\}, \{Henry A.\} 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 \{van{\textquoteright}t Hof\}, Pieter and Lara Volery and Zengeya, \{Tsungai A.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2025.",

year = "2025",

month = dec,

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

language = "Ingl{\'e}s",

volume = "12",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Research",

number = "1",

}

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, Evans, TE, 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, Rivas Torres, G, Rojas Martinez, HA, Rojas-Sandoval, J, Ryan-Schofield, NL, Sánchez, RM, Santini, A, Santoro, D, Scalera, R, Schmidt, L, Shivambu, TC, Sohrabi, S, Tricarico, E, Trillo, A, van’t Hof, P, 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

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 - Evans, Thomas E.

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 - Rivas Torres, Gonzalo

AU - Rojas Martinez, Henry A.

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 - van’t Hof, Pieter

AU - Volery, Lara

AU - Zengeya, Tsungai A.

PY - 2025/12

Y1 - 2025/12

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 - Artículo

AN - SCOPUS:105005973280

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

UN SDGs

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