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InvasiveSDM

Frontiers in invasive species distribution modelling: incorporating human-associations and intraspecific niche structure to improve risk predictions.

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

InvasiveSDM project word cloud

Explore the words cloud of the InvasiveSDM project. It provides you a very rough idea of what is the project "InvasiveSDM" about.

tools examined persistent critical models climatic invasions theory predict rely human invasive demonstrated fuel interpreted molecular distributions risk phenomenological influence events play ecosystems biodiversity hampered intraspecific shape scales conservatism combining decision interdisciplinary modified biological ecological mismatches species sdms ranges biogeographical doubts drawbacks relate reliability effort association habitats faced global methodological statistically environments pressures variation invasion adaptations shifts impacts statistical assessments societies unresolved driving apparent phylogenetic bird data led modern understand predicts accuracy goals environmental niche variables prediction predictions native outcomes occurrences

Project "InvasiveSDM" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY COLLEGE LONDON Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Project website	https://sites.google.com/site/lauracardadorresearch/projects
Total cost	195˙454 €
EC max contribution	195˙454 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2016
Funding Scheme	MSCA-IF-EF-ST
Starting year	2017
Duration (year-month-day)	from 2017-07-15 to 2019-07-14

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE LONDON UNIVERSITY COLLEGE LONDON Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	coordinator	195˙454.00

Map

Project objective

Biological invasions represent a major component of global change through their impacts on biodiversity, ecosystems and societies. Awareness of biological invasion impacts and the critical importance of evidence-based decision making have led to a persistent effort to understand the factors driving invasion success so as to be able to predict invasion outcomes. To this end, a range of modelling tools has been developed. Among them, species distribution models (SDMs) -phenomenological models that statistically relate observed species occurrences to environmental variables- play a critical role in invasion risk assessments. These models rely on ecological niche theory, which predicts that for recent events such as biological invasions, conservatism of the climatic niche is expected. However, recent studies have demonstrated that this approach could be hampered by apparent niche shifts in invasive ranges. Mismatches between native and invasive distributions derived from SDMs have been often interpreted as species adaptations in response to selection pressures in novel environments. However, methodological drawbacks of previous approaches fuel doubts about the biological meaning of these findings. In this project, two unresolved challenges faced by SDMs when applied to the biological invasion process will be examined: how (1) species’ association with human-modified habitats in native ranges and (2) intraspecific niche variation shape the distribution of invasive species at biogeographical scales and how these effects influence the reliability of predictions of invasion risk. To accomplish these goals, I will use an interdisciplinary approach combining global bird distribution data, with molecular phylogenetic data and modern statistical and ecological analyses. The results of the project will contribute to improve prediction accuracy of biological invasions, and will also help better understand the invasion process.

Publications

List of publications.
year	authors and title	journal	last update
2019	Laura Cardador, JosÃ© L. Tella, JosÃ© D. AnadÃ³n, Pedro AbellÃ¡n, Martina Carrete The European trade ban on wild birds reduced invasion risks published pages: e12631, ISSN: 1755-263X, DOI: 10.1111/conl.12631	Conservation Letters 12/3	2020-01-27
2018	Francesc CuscÃ³, Laura Cardador, Gerard Bota, Manuel B. Morales, Santi MaÃ±osa Inter-individual consistency in habitat selection patterns and spatial range constraints of female little bustards during the non-breeding season published pages: , ISSN: 1472-6785, DOI: 10.1186/s12898-018-0205-9	BMC Ecology 18/1	2020-01-27
2019	Laura Cardador, Tim M. Blackburn Humanâ€habitat associations in the native distributions of alien bird species published pages: 1189-1199, ISSN: 0021-8901, DOI: 10.1111/1365-2664.13351	Journal of Applied Ecology 56/5	2020-01-27

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The information about "INVASIVESDM" are provided by the European Opendata Portal: CORDIS opendata.