User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy

Primary tabs

download
  • Open access
  • PDF
  • 351.22 K
Vanderhoeven, Sonia Adriaens, Tim Desmet, Peter Strubbe, Diederik Backeljau, Thierry Jacquemart, Anne-Laure [UCL] Groom, Quentin

Imagine a future where dynamically, from year to year, we can track the progression of alien species (AS), identify emerging problem species, assess their current and future risk and timely inform policy in a seamless data-driven workflow. One that is built on open science and open data infrastructures. By using international biodiversity standards and facilities, we would ensure interoperability, repeatability and sustainability. This would make the process adaptable to future requirements in an evolving AS policy landscape both locally and internationally. In recent years, Belgium has developed decision support tools to inform invasive alien species (IAS) policy, including information systems, early warning initiatives and risk assessment protocols. However, the current workflows from biodiversity observations to IAS science and policy are slow, not easily repeatable, and their scope is often taxonomically, spatially and temporally limited. This is mainly caused by the diversity of actors involved and the closed, fragmented nature of the sources of these biodiversity data, which leads to considerable knowledge gaps for IAS research and policy. We will leverage expertise and knowledge from nine former and current BELSPO projects and initiatives: Alien Alert, Invaxen, Diars, INPLANBEL, Alien Impact, Ensis, CORDEX.be, Speedy and the Belgian Biodiversity Platform. The project will be built on two components: 1) The establishment of a data mobilization framework for AS data from diverse data sources and 2) the development of data-driven procedures for risk evaluation based on risk modelling, risk mapping and risk assessment. We will use facilities from the Global Biodiversity Information Facility (GBIF), standards from the Biodiversity Information Standards organization (TDWG) and expertise from Lifewatch to create and facilitate a systematic workflow. Alien species data will be gathered from a large set of regional, national and international initiatives, including citizen science with a wide taxonomic scope from marine, terrestrial and freshwater environments. Observation data will be funnelled in repeatable ways to GBIF. In parallel, a Belgian checklist of AS will be established, benefiting from various taxonomic and project-based checklists foreseen for GBIF publication. The combination of the observation data and the checklist will feed indicators for the identification of emerging species; their level of invasion in Belgium; changes in their invasion status and the identification of areas and species of concern that could be impacted upon by bioinvasions. Data-driven risk evaluation of identified emerging species will be supported by niche and climate modelling and consequent risk mapping using critical climatic variables for the current and projected future climate periods at high resolution. The resulting risk maps will complement risk assessments performed with the recently developed Harmonia+ protocol to assess risks posed by emergent species to biodiversity and human, plant, and animal health. The use of open data will ensure that interested stakeholders in Belgium and abroad can make use of the information we generate. The open science ensures everyone is free to adopt and adapt the workflow for different scenarios and regions. The checklist will be used at national level, but will also serve as the Belgian reference for international databases (IUCN - GRIIS, EASIN) and impact assessments (IPBES, SEBI). The workflow will be showcased through GEO BON, the Invasivesnet network and the COST Actions Alien Challenge and ParrotNet. The observations and outcomes of risk evaluations will be used to provide science-based 2 Vanderhoeven S et al support for the implementation of IAS policies at the regional, federal and EU levels. The publication of Belgian data and checklists on IAS is particularly timely in light of the currently ongoing EU IAS Regulation and its implementation in Belgium. By proving that automated workflows can provide rapid and repeatable production of information, we will open up this technology for other conservation assessments.

Document type Article de périodique (Journal article) – Article de vulgarisation
Access type Accès libre
Publication date 2017
Language Anglais
Journal information "Research Ideas and Outcomes" - Vol. 3, p. e13414 (2017)
Peer reviewed yes
Publisher Pensoft Publishers
issn 2367-7163
e-issn 2367-7163
Publication status Publié
Affiliation UCL - SST/ELI/ELIA - Agronomy
Keywords Information Technology; Risk Evaluation; Evidence-Based Policy; Open Data Publication; Climate Change ; Information technology ; risk evaluation ; evidence-based policy ; open data publication ; climate change
Links
  1. Tittensor D. P., Walpole M., Hill S. L. L., Boyce D. G., Britten G. L., Burgess N. D., Butchart S. H. M., Leadley P. W., Regan E. C., Alkemade R., Baumung R., Bellard C., Bouwman L., Bowles-Newark N. J., Chenery A. M., Cheung W. W. L., Christensen V., Cooper H. D., Crowther A. R., Dixon M. J. R., Galli A., Gaveau V., Gregory R. D., Gutierrez N. L., Hirsch T. L., Hoft R., Januchowski-Hartley S. R., Karmann M., Krug C. B., Leverington F. J., Loh J., Lojenga R. K., Malsch K., Marques A., Morgan D. H. W., Mumby P. J., Newbold T., Noonan-Mooney K., Pagad S. N., Parks B. C., Pereira H. M., Robertson T., Rondinini C., Santini L., Scharlemann J. P. W., Schindler S., Sumaila U. R., Teh L. S. L., van Kolck J., Visconti P., Ye Y., A mid-term analysis of progress toward international biodiversity targets, 10.1126/science.1257484
  2. van Kleunen Mark, Dawson Wayne, Essl Franz, Pergl Jan, Winter Marten, Weber Ewald, Kreft Holger, Weigelt Patrick, Kartesz John, Nishino Misako, Antonova Liubov A., Barcelona Julie F., Cabezas Francisco J., Cárdenas Dairon, Cárdenas-Toro Juliana, Castaño Nicolás, Chacón Eduardo, Chatelain Cyrille, Ebel Aleksandr L., Figueiredo Estrela, Fuentes Nicol, Groom Quentin J., Henderson Lesley, Inderjit, Kupriyanov Andrey, Masciadri Silvana, Meerman Jan, Morozova Olga, Moser Dietmar, Nickrent Daniel L., Patzelt Annette, Pelser Pieter B., Baptiste María P., Poopath Manop, Schulze Maria, Seebens Hanno, Shu Wen-sheng, Thomas Jacob, Velayos Mauricio, Wieringa Jan J., Pyšek Petr, Global exchange and accumulation of non-native plants, 10.1038/nature14910
  3. Groom Quentin, Desmet Peter, Vanderhoeven Sonia, Adriaens Tim, The importance of open data for invasive alien species research, policy and management, 10.3391/mbi.2015.6.2.02
  4. McGeoch Melodie A., Spear Dian, Kleynhans Elizabeth J., Marais Elrike, Uncertainty in invasive alien species listing, 10.1890/11-1252.1
  5. Roy Helen E., Preston Chris D., Harrower Colin A., Rorke Stephanie L., Noble David, Sewell Jack, Walker Kevin, Marchant John, Seeley Becky, Bishop John, Jukes Alison, Musgrove Andy, Pearman David, Booy Olaf, GB Non-native Species Information Portal: documenting the arrival of non-native species in Britain, 10.1007/s10530-014-0687-0
  6. Latombe Guillaume, Pyšek Petr, Jeschke Jonathan M., Blackburn Tim M., Bacher Sven, Capinha César, Costello Mark J., Fernández Miguel, Gregory Richard D., Hobern Donald, Hui Cang, Jetz Walter, Kumschick Sabrina, McGrannachan Chris, Pergl Jan, Roy Helen E., Scalera Riccardo, Squires Zoe E., Wilson John R.U., Winter Marten, Genovesi Piero, McGeoch Melodie A., A vision for global monitoring of biological invasions, 10.1016/j.biocon.2016.06.013
  7. Lodge David M., Williams Susan, MacIsaac Hugh J., Hayes Keith R., Leung Brian, Reichard Sarah, Mack Richard N., Moyle Peter B., Smith Maggie, Andow David A., Carlton James T., McMichael Anthony, BIOLOGICAL INVASIONS: RECOMMENDATIONS FOR U.S. POLICY AND MANAGEMENT, 10.1890/1051-0761(2006)016[2035:birfup]2.0.co;2
  8. Vanderhoeven Sonia, Adriaens Tim, D’hondt Bram, Van Gossum Hans, Vandegehuchte Maurits, Verreycken Hugo, Cigar Julien, Branquart Etienne, A science-based approach to tackle invasive alien species in Belgium – the role of the ISEIA protocol and the Harmonia information system as decision support tools, 10.3391/mbi.2015.6.2.10
  9. D’hondt Bram, Vanderhoeven Sonia, Roelandt Sophie, Mayer François, Versteirt Veerle, Adriaens Tim, Ducheyne Els, San Martin Gilles, Grégoire Jean-Claude, Stiers Iris, Quoilin Sophie, Cigar Julien, Heughebaert André, Branquart Etienne, Harmonia + and Pandora +: risk screening tools for potentially invasive plants, animals and their pathogens, 10.1007/s10530-015-0843-1
  10. Hattingh, Fifty Years of Invasion Ecology: The Legacy of Charles Elton (2011)
  11. Kriticos Darren J., Webber Bruce L., Leriche Agathe, Ota Noboru, Macadam Ian, Bathols Janice, Scott John K., CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling : CliMond: climate surfaces for bioclimatic modelling, 10.1111/j.2041-210x.2011.00134.x
  12. Hijmans Robert J., Cameron Susan E., Parra Juan L., Jones Peter G., Jarvis Andy, Very high resolution interpolated climate surfaces for global land areas, 10.1002/joc.1276
  13. Brunel S., How to communicate on pests and invasive alien plants? Conclusions of the EPPO/CoE/IUCN- ISSG/DGAV/UC/ESAC Workshop : Oeiras (PT), 2013-10-08/10
A workshop to bridge the gap in between disciplines, 10.1111/epp.12110
  14. Mukherjee Nibedita, Hugé Jean, Sutherland William J., McNeill Jeffrey, Van Opstal Maarten, Dahdouh-Guebas Farid, Koedam Nico, The Delphi technique in ecology and biological conservation: applications and guidelines, 10.1111/2041-210x.12387
  15. Farber Oren, Kadmon Ronen, Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance, 10.1016/s0304-3800(02)00327-7
  16. Gallien Laure, Douzet Rolland, Pratte Steve, Zimmermann Niklaus E., Thuiller Wilfried, Invasive species distribution models - how violating the equilibrium assumption can create new insights : Beyond the equilibrium assumption of SDMs, 10.1111/j.1466-8238.2012.00768.x
  17. Mainali Kumar P., Warren Dan L., Dhileepan Kunjithapatham, McConnachie Andrew, Strathie Lorraine, Hassan Gul, Karki Debendra, Shrestha Bharat B., Parmesan Camille, Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling, 10.1111/gcb.13038
  18. Qiao Huijie, Soberón Jorge, Peterson Andrew Townsend, No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation, 10.1111/2041-210x.12397
  19. Naimi Babak, Araújo Miguel B., sdm: a reproducible and extensible R platform for species distribution modelling, 10.1111/ecog.01881
  20. Lobo Jorge M., Jiménez-Valverde Alberto, Hortal Joaquín, The uncertain nature of absences and their importance in species distribution modelling, 10.1111/j.1600-0587.2009.06039.x
  21. Phillips Steven J., Anderson Robert P., Schapire Robert E., Maximum entropy modeling of species geographic distributions, 10.1016/j.ecolmodel.2005.03.026
  22. Owens Hannah L., Campbell Lindsay P., Dornak L. Lynnette, Saupe Erin E., Barve Narayani, Soberón Jorge, Ingenloff Kate, Lira-Noriega Andrés, Hensz Christopher M., Myers Corinne E., Peterson A. Townsend, Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas, 10.1016/j.ecolmodel.2013.04.011
  23. Phillips Steven J., Dudík Miroslav, Elith Jane, Graham Catherine H., Lehmann Anthony, Leathwick John, Ferrier Simon, Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data, 10.1890/07-2153.1
  24. Meyer Carsten, Weigelt Patrick, Kreft Holger, Multidimensional biases, gaps and uncertainties in global plant occurrence information, 10.1111/ele.12624
  25. Vandepitte, Niet-inheemse soorten van het Belgische deel van de Noordzee en aanpalende estuaria, 59 (2012)
  26. Verloove
  27. Broennimann O., Treier U. A., Müller-Schärer H., Thuiller W., Peterson A. T., Guisan A., Evidence of climatic niche shift during biological invasion, 10.1111/j.1461-0248.2007.01060.x
  28. Di Febbraro Mirko, Lurz Peter W. W., Genovesi Piero, Maiorano Luigi, Girardello Marco, Bertolino Sandro, The Use of Climatic Niches in Screening Procedures for Introduced Species to Evaluate Risk of Spread: A Case with the American Eastern Grey Squirrel, 10.1371/journal.pone.0066559
  29. Easterling D. R., Climate Extremes: Observations, Modeling, and Impacts, 10.1126/science.289.5487.2068
  30. Demolder, Biodiversity Indicators. State of Nature in Flanders. Mededeling van het Instituut voor Natuur- en Bosonderzoek (2015)
  31. Rabitsch Wolfgang, Genovesi Piero, Scalera Riccardo, Biała Katarzyna, Josefsson Melanie, Essl Franz, Developing and testing alien species indicators for Europe, 10.1016/j.jnc.2015.12.001
  32. Layke Christian, Mapendembe Abisha, Brown Claire, Walpole Matt, Winn Jonathan, Indicators from the global and sub-global Millennium Ecosystem Assessments: An analysis and next steps, 10.1016/j.ecolind.2011.04.025
  33. McGeoch Melodie A., Latombe Guillaume, Characterizing common and range expanding species, 10.1111/jbi.12642
  34. Krippendorff, Content analysis: An introduction to its methodology (2012)
  35. Vansteenbrugge, The non-indigenous ctenophore Mnemiopsis leidyi in the southern North Sea: Ecological and socio-economic effects related to its trophic position and the current distribution of gelatinous zooplankton (2015)
  36. Thuiller (2016)
  37. Dudík, Advances in neural information processing systems, 17 (2005)
  38. Broennimann Olivier, Guisan Antoine, Predicting current and future biological invasions: both native and invaded ranges matter, 10.1098/rsbl.2008.0254
  39. Stiels Darius, Gaißer Bianca, Schidelko Kathrin, Engler Jan O., Rödder Dennis, Niche shift in four non-native estrildid finches and implications for species distribution models, 10.1111/ibi.12194
  40. Araújo Miguel B., Guisan Antoine, Five (or so) challenges for species distribution modelling, 10.1111/j.1365-2699.2006.01584.x
  41. Hijmans Robert J., Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model, 10.1890/11-0826.1
  42. Elith Jane, Kearney Michael, Phillips Steven, The art of modelling range-shifting species : The art of modelling range-shifting species, 10.1111/j.2041-210x.2010.00036.x
  43. Fitzpatrick Matthew C., Hargrove William W., The projection of species distribution models and the problem of non-analog climate, 10.1007/s10531-009-9584-8
  44. VanDerWal Jeremy, Shoo Luke P., Graham Catherine, Williams Stephen E., Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?, 10.1016/j.ecolmodel.2008.11.010
  45. Boakes Elizabeth H., McGowan Philip J. K., Fuller Richard A., Chang-qing Ding, Clark Natalie E., O'Connor Kim, Mace Georgina M., Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data, 10.1371/journal.pbio.1000385
  46. Töpel Mats, Zizka Alexander, Calió Maria Fernanda, Scharn Ruud, Silvestro Daniele, Antonelli Alexandre, SpeciesGeoCoder: Fast Categorization of Species Occurrences for Analyses of Biodiversity, Biogeography, Ecology, and Evolution, 10.1093/sysbio/syw064
  47. Venette Robert C., Kriticos Darren J., Magarey Roger D., Koch Frank H., Baker Richard H. A., Worner Susan P., Gómez Raboteaux Nadilia N., McKenney Daniel W., Dobesberger Erhard J., Yemshanov Denys, De Barro Paul J., Hutchison William D., Fowler Glenn, Kalaris Tom M., Pedlar John, Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement, 10.1525/bio.2010.60.5.5
  48. Venette, Pest Risk Modelling and Mapping for Invasive Alien Species, 7 (2015)
  49. ARAUJO M, NEW M, Ensemble forecasting of species distributions, 10.1016/j.tree.2006.09.010
  50. Araújo Miguel B., Peterson A. Townsend, Uses and misuses of bioclimatic envelope modeling, 10.1890/11-1930.1
  51. Beaumont Linda J., Gallagher Rachael V., Leishman Michelle R., Hughes Lesley, Downey Paul O., How can knowledge of the climate niche inform the weed risk assessment process? A case study ofChrysanthemoides moniliferain Australia, 10.1111/ddi.12190
  52. D’hondt, Belgian Biodiversity Platform, Brussels, 63 (2014)
  53. Guisan Antoine, Zimmermann Niklaus E., Predictive habitat distribution models in ecology, 10.1016/s0304-3800(00)00354-9
  54. Franklin Janet, Moving beyond static species distribution models in support of conservation biogeography : Moving beyond static species distribution models, 10.1111/j.1472-4642.2010.00641.x
  55. Václavík Tomáš, Meentemeyer Ross K., Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion : Equilibrium and invasive species distribution models, 10.1111/j.1472-4642.2011.00854.x
  56. Holt J., Leach A. W., Knight J. D., Griessinger D., MacLeod A., van der Gaag D. J., Schrader G., Mumford J. D., Tools for visualizing and integrating pest risk assessment ratings and uncertainties* : Tools for visualizing and integrating PRA ratings and uncertainties, 10.1111/j.1365-2338.2012.02548.x
  57. McLure Merinda, Level Allison V., Cranston Catherine L., Oehlerts Beth, Culbertson Mike, Data Curation: A Study of Researcher Practices and Needs, 10.1353/pla.2014.0009
  58. Vanderhoeven, Biological Invasions (in press)
  59. Sotiaux, Journal of Botany, 134, 97 (2001)
  60. Ertz, Bulletin de la Société des naturalistes luxembourgeois , 109, 35 (2008)
  61. Pagad
  62. Fourcade Yoan, Engler Jan O., Rödder Dennis, Secondi Jean, Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias, 10.1371/journal.pone.0097122
  63. Barbet-Massin Morgane, Thuiller Wilfried, Jiguet Frédéric, The fate of European breeding birds under climate, land-use and dispersal scenarios, 10.1111/j.1365-2486.2011.02552.x
  64. Roelandt S., Van der Stede Y., D'hondt B., Koenen F., The Assessment of African Swine Fever Virus Risk to Belgium Early 2014, using the Quick and Semiquantitative Pandora Screening Protocol, 10.1111/tbed.12365
  65. Pearson Richard G., Dawson Terence P., Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?, 10.1046/j.1466-822x.2003.00042.x
  66. Bellard Celine, Thuiller Wilfried, Leroy Boris, Genovesi Piero, Bakkenes Michel, Courchamp Franck, Will climate change promote future invasions?, 10.1111/gcb.12344
  67. Domisch Sami, Araújo Miguel B., Bonada Núria, Pauls Steffen U., Jähnig Sonja C., Haase Peter, Modelling distribution in European stream macroinvertebrates under future climates, 10.1111/gcb.12107
  68. Giot Olivier, Termonia Piet, Degrauwe Daan, De Troch Rozemien, Caluwaerts Steven, Smet Geert, Berckmans Julie, Deckmyn Alex, De Cruz Lesley, De Meutter Pieter, Duerinckx Annelies, Gerard Luc, Hamdi Rafiq, Van den Bergh Joris, Van Ginderachter Michiel, Van Schaeybroeck Bert, Validation of the ALARO-0 model within the EURO-CORDEX framework, 10.5194/gmd-9-1143-2016
  69. Prein A. F., Gobiet A., Truhetz H., Keuler K., Goergen K., Teichmann C., Fox Maule C., van Meijgaard E., Déqué M., Nikulin G., Vautard R., Colette A., Kjellström E., Jacob D., Precipitation in the EURO-CORDEX $$0.11^{\circ }$$ 0 . 11 ∘ and $$0.44^{\circ }$$ 0 . 44 ∘ simulations: high resolution, high benefits?, 10.1007/s00382-015-2589-y
  70. Kotlarski S., Keuler K., Christensen O. B., Colette A., Déqué M., Gobiet A., Goergen K., Jacob D., Lüthi D., van Meijgaard E., Nikulin G., Schär C., Teichmann C., Vautard R., Warrach-Sagi K., Wulfmeyer V., Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, 10.5194/gmd-7-1297-2014
  71. van Oldenborgh G J, Doblas Reyes F J, Drijfhout S S, Hawkins E, Reliability of regional climate model trends, 10.1088/1748-9326/8/1/014055
  72. De Troch Rozemien, Hamdi Rafiq, Van de Vyver Hans, Geleyn Jean-François, Termonia Piet, Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium, 10.1175/jcli-d-12-00844.1
  73. Gaston Kevin J., How Large Is a Species' Geographic Range?, 10.2307/3545251
  74. Pereira H. M., Ferrier S., Walters M., Geller G. N., Jongman R. H. G., Scholes R. J., Bruford M. W., Brummitt N., Butchart S. H. M., Cardoso A. C., Coops N. C., Dulloo E., Faith D. P., Freyhof J., Gregory R. D., Heip C., Hoft R., Hurtt G., Jetz W., Karp D. S., McGeoch M. A., Obura D., Onoda Y., Pettorelli N., Reyers B., Sayre R., Scharlemann J. P. W., Stuart S. N., Turak E., Walpole M., Wegmann M., Essential Biodiversity Variables, 10.1126/science.1229931
  75. McGeoch, An Essential Biodiversity Variable approach to monitoring biological invasions: Guide for Countries., 2 (2015)
  76. Chamberlain (2016)
  77. Chamberlain (2016)
  78. Karger (2016)
  79. Randin Christophe F., Dirnböck Thomas, Dullinger Stefan, Zimmermann Niklaus E., Zappa Massimiliano, Guisan Antoine, Are niche-based species distribution models transferable in space?, 10.1111/j.1365-2699.2006.01466.x
  80. Vasconcelos Tiago S., Rodríguez Miguel Á, Hawkins Bradford A., Species distribution modelling as a macroecological tool: a case study using New World amphibians, 10.1111/j.1600-0587.2011.07050.x
  81. Petitpierre B., Kueffer C., Broennimann O., Randin C., Daehler C., Guisan A., Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders, 10.1126/science.1215933
  82. Austin Mike P., Van Niel Kimberly P., Improving species distribution models for climate change studies: variable selection and scale : Species distribution models for climate change studies, 10.1111/j.1365-2699.2010.02416.x
  83. Barbet-Massin Morgane, Jiguet Frédéric, Albert Cécile Hélène, Thuiller Wilfried, Selecting pseudo-absences for species distribution models: how, where and how many? : How to use pseudo-absences in niche modelling?, 10.1111/j.2041-210x.2011.00172.x
  84. Boets Pieter, Brosens Dimitri, Lock Koen, Adriaens Tim, Aelterman Bart, Mertens Joost, Goethals Peter, Alien macroinvertebrates in Flanders (Belgium), 10.3391/ai.2016.11.2.03
  85. Gallardo Belinda, Zieritz Alexandra, Adriaens Tim, Bellard Céline, Boets Pieter, Britton J. Robert, Newman Jonathan R., van Valkenburg Johan L. C. H., Aldridge David C., Trans-national horizon scanning for invasive non-native species: a case study in western Europe, 10.1007/s10530-015-0986-0
  86. Armas Belinda, Zieritz Alexandra, Aldridge David C., Registry of non-native species in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands), 10.3897/neobiota.23.5665
  87. Beck Jan, Böller Marianne, Erhardt Andreas, Schwanghart Wolfgang, Spatial bias in the GBIF database and its effect on modeling species' geographic distributions, 10.1016/j.ecoinf.2013.11.002
  88. Root Terry, Environmental Factors Associated with Avian Distributional Boundaries, 10.2307/2845278
  89. Secretariat (2016)
  90. Verreycken H., Anseeuw D., Van Thuyne G., Quataert P., Belpaire C., The non-indigenous freshwater fishes of Flanders (Belgium): review, status and trends over the last decade, 10.1111/j.1095-8649.2007.01679.x
  91. BUISSON LAËTITIA, THUILLER WILFRIED, CASAJUS NICOLAS, LEK SOVAN, GRENOUILLET GAËL, Uncertainty in ensemble forecasting of species distribution, 10.1111/j.1365-2486.2009.02000.x
  92. Secretariat
  93. Commission, Our life insurance, our natural capital: an EU biodiversity strategy to 2020 (2011)
  94. Towards a risk-based chain control, ISBN:9789076998978, 10.3920/978-90-8686-583-3
  95. Verloove, Scripta Botanica Belgica, 39 (2006)
  96. Vanderweyen, Lejeunia, Revue de Botanique, 183 (2007)
  97. Vanderweyen, Lejeunia, Revue de Botanique, 193 (2014)
  98. GBIF, GBIF GNA Profile Reference Guide for Darwin Core Archives, version 1.2, released on 15 March 2012 (contributed by Remsen D.P., Döring, M, Robertson, T.) (2010)
  99. Robertson Tim, Döring Markus, Guralnick Robert, Bloom David, Wieczorek John, Braak Kyle, Otegui Javier, Russell Laura, Desmet Peter, The GBIF Integrated Publishing Toolkit: Facilitating the Efficient Publishing of Biodiversity Data on the Internet, 10.1371/journal.pone.0102623
  100. Katsanevakis Stelios, European Alien Species Information Network (EASIN): supporting European policies and scientific research, 10.3391/mbi.2015.6.2.05
  101. Gallardo, Targeting and Prioritisation for INS in the RINSE Project Area (2013)
Bibliographic reference Vanderhoeven, Sonia ; Adriaens, Tim ; Desmet, Peter ; Strubbe, Diederik ; Backeljau, Thierry ; et. al. Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. In: Research Ideas and Outcomes, Vol. 3, p. e13414 (2017)
Permanent URL http://hdl.handle.net/2078.1/213224