Núria Roura‐Pascual

University of Girona

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Jonathan M. Jeschke

Leibniz Institute of Freshwater Ecology and Inland Fisheries

Franz Essl

University of Vienna

Lluı́s Brotons

Centre for Research on Ecology and Forestry Applications

Bernd Lenzner

University of Vienna

Chunlong Liu

Ocean University of China

Brian Leung

McGill University

Guillaume Latombe

University of Edinburgh

David M. Richardson

Stellenbosch University

Hanno Seebens

University of Giessen

Franck Courchamp

Écologie, Systématique et Évolution

Cooperative Institutions

Consejo Superior de Investigaciones Científicas

John Wiley & Sons (United States)

Stellenbosch University

University of Girona

Universitat de Barcelona

Ecological Society of America

Universitat Autònoma de Barcelona

Centre for Research on Ecology and Forestry Applications

Centre National de la Recherche Scientifique

Universidad Autónoma de Madrid

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Addressing a critique of the TEASI framework for invasive species risk assessment

Ecology Letters (2013)

Brian Leung Núria Roura‐Pascual Sven Bacher Jaakko Heikkilä Lluı́s Brotons

Abstract We address criticism that the Transport, Establishment, Abundance, Spread, Impact (TEASI) framework does not facilitate objective mapping of risk assessment methods nor defines best practice. We explain why TEASI is appropriate for mapping, despite inherent challenges, and how TEASI offers considerations for best practices, rather than suggesting one best practice.

Best practice

10.1111/ele.12172

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Citations (2)

Territory characteristics and coexistence with heterospecifics in the Dartford warbler Sylvia undata across a habitat gradient

Behavioral Ecology and Sociobiology (2008)

Pere Pons Josep M. Bas Roger Prodon Núria Roura‐Pascual Miguel Clavero

Warbler

Animal ecology

Territoriality

10.1007/s00265-008-0550-3

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Citations (31)

How many and which ant species are being accidentally moved around the world?

Biology Letters (2014)

Verónica Miravete Núria Roura‐Pascual Robert R. Dunn Crisanto Gómez

10.1098/rsbl.2014.0504

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Citations (0)

NICHE DIFFERENTIATION AND FINE-SCALE PROJECTIONS FOR ARGENTINE ANTS BASED ON REMOTELY SENSED DATA

Ecological Applications (2006)

Núria Roura‐Pascual Andrew V. Suarez Kristina M. McNyset Crisanto Gómez Pere Pons

Modeling ecological niches of species is a promising approach for predicting the geographic potential of invasive species in new environments. Argentine ants (Linepithema humile) rank among the most successful invasive species: native to South America, they have invaded broad areas worldwide. Despite their widespread success, little is known about what makes an area susceptible--or not--to invasion. Here, we use a genetic algorithm approach to ecological niche modeling based on high-resolution remote-sensing data to examine the roles of niche similarity and difference in predicting invasions by this species. Our comparisons support a picture of general conservatism of the species' ecological characteristics, in spite of distinct geographic and community contexts.

Linepithema

Environmental niche modelling

10.1890/1051-0761(2006)016[1832:ndafpf]2.0.co;2

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Citations (73)

Capacity of countries to reduce biological invasions

bioRxiv (Cold Spring Harbor Laboratory) (2021)

Guillaume Latombe Hanno Seebens Bernd Lenzner Franck Courchamp Stefan Dullinger

Abstract The extent and impacts of biological invasions on biodiversity are largely shaped by an array of socio-ecological predictors, which exhibit high variation among countries. Yet a global synthetic perspective of how these factors vary across countries is currently lacking. Here, we investigate how a set of five socio-ecological predictors (Governance, Trade, Environmental Performance, Lifestyle and Education, Innovation) explain i) country-level established alien species (EAS) richness of eight taxonomic groups, and ii) country capacity to prevent and manage biological invasions and their impacts. Trade and Governance together best predicted the average EAS richness, increasing variance explained by up to 54% compared to models based on climatic and spatial variables only. Country-level EAS richness increased strongly with Trade, whereas high level of Governance resulted in lower EAS richness. Historical (1996) levels of Governance and Trade better explained response variables than current (2015) levels. Thus, our results reveal a historical legacy of these two predictors with profound implications for the future of biological invasions. We therefore used Governance and Trade to define a two-dimensional socio-economic space in which the position of a country captures its capacity to address issues of biological invasions. Our results provide novel insights into the complex relationship between socio-ecological predictors and biological invasions. Further, we highlight the need for designing better policies and management measures for alien species, and for integrating biological invasions in global environmental scenarios.

Position (finance)

10.1101/2021.02.04.429788

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Citations (1)

Clearing of invasive alien plants under different budget scenarios: using a simulation model to test efficiency

Biological Invasions (2010)

Rainer M. Krug Núria Roura‐Pascual David M. Richardson

Clearing

Clearance

Prioritization

Baseline (sea)

10.1007/s10530-010-9827-3

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Citations (29)

commentary: Towards an efficient management of biological invasions

Frontiers of Biogeography (2012)

Núria Roura‐Pascual

ISSN 1948-6596 news and update commentary Towards an efficient management of biological invasions Biological invasions are a current conundrum for the management of worldwide biodiversity. Inter- national transportation networks have facilitated the connection of distant regions, and eased the movement of exotic species historically confined to their native areas by natural barriers and dis- persal constraints. Some of these species have the capacity to establish and spread successfully in newly occupied biogeographic regions, becoming a real problem for the hosting ecosystems and the humans that depend on them. They compete with native species and alter the functioning of ecosys- tems, threatening the services provided by these ecosystems and in some cases having direct ef- fects on human health. The management of biological invasions and/or ecosystems hosting them is becoming ever more relevant, as the number of exotic plant and animal species increases worldwide. Management actions range from preventive measures to avoid the introduction of exotic species, to control op- erations of entire ecosystems after establishment of invasive organisms. To facilitate the manage- ment of these novel ecosystems (sensu Hobbs et al. 2006), it is necessary to expose and develop appropriate data on the ecology and distribution of invasive species, as well as tools to assist in pri- oritizing actions for control of alien plants. In this vein, two papers have been published recently that shed some light into these issues. The first study was conducted by several plant ecologists from Europe, and has been pub- lished in Diversity and Distributions under the leadership of Milan Chytrý from the Masaryk Uni- versity (Czech Republic). Chytrý et al. (2009) pro- vide the first spatially explicit quantification of the level of alien plant invasion at a regional level for Europe. Combining quantitative data on the pro- portion of alien species that invade different habi- tat types with a land-cover map, they produced a map that estimates the levels of invasion across Europe. Their utilization of habitats as a basis for mapping levels of invasion was justified by a previ- ous study (Chytrý et al, 2008), in which habitat types were shown to be better predictions of inva- sion levels than other variables, such as environ- mental characteristics or propagule pressure. Their results predict that the highest levels of alien plant invasions occur among arable land, urban and industrial areas, whereas the lowest levels occur in sclerophyllous vegetation, peat- bogs and heathlands. The spatial distribution of the level of invasion suggests that the highest lev- els of invasion are in lowland areas of western Europe and in agricultural regions in central and eastern Europe. In contrast, low levels are pre- dicted in boreal regions and mountainous zones, except along coastlines, irrigated agricultural land, and rivers of the Mediterranean region. Even though the approach used to elaborate the map is coarse and although there is potential for further improvements, this study provides a first look at the level of plant invasion in Europe and permits the identification of areas susceptible to donate/ receive exotic species. In parallel with this study mapping levels of invasion, Andrew J. Tatem from the University of Florida (USA) examined the potential dispersal of exotic species in a new study published in Ecogra- phy. Tatem (2009) provides a framework to pre- dict biological invasion risks through the world- wide airline network, and assesses future changes due to human and environmental variations. The growth of air travel increases the propagule pres- sure and rate of exotic species introductions, but the establishment of such organisms in new re- gions will depend upon whether they find climatic conditions similar to those at their origin. Build upon a previous study (Tatem and Hay 2007), he examines the spatial and seasonal distribution of incoming traffic volume to individual airports, and combines this information with climate scenarios for the period 2007-2010 to identify potential in- vasion risk routes. His results suggest that changes in global climate will be relatively small during the near fu- ture, but increases in incoming traffic from China, India, Russia and eastern Europe are expected to frontiers of biogeography 1.1, 2009 — © 2009 the authors; journal compilation © 2009 The International Biogeography Society

10.21425/f5fbg12228

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Automated detection of the yellow‐legged hornet (Vespa velutina) using an optical sensor with machine learning

Pest Management Science (2022)

Cayetano Herrera M. Williams João Encarnação Núria Roura‐Pascual Bastian Faulhaber

The yellow-legged hornet (Vespa velutina) is native to Southeast Asia and is an invasive alien species of concern in many countries. More effective management of populations of V. velutina could be achieved through more widespread and intensive monitoring in the field, however current methods are labor intensive and costly. To address this issue, we have assessed the performance of an optical sensor combined with a machine learning model to classify V. velutina and native wasps/hornets and bees. Our aim is to use the results of the present work as a step towards the development of a monitoring solution for V. velutina in the field.We recorded a total 935 flights from three bee species: Apis mellifera, Bombus terrestris and Osmia bicornis; and four wasp/hornet species: Polistes dominula, Vespula germanica, Vespa crabro and V. velutina. The machine learning model achieved an average accuracy for species classification of 80.1 ± 13.9% and 74.5 ± 7.0% for V. velutina. V. crabro had the highest level of misclassification, confused mainly with V. velutina and P. dominula. These results were obtained using a 14-value peak and valley feature derived from the wingbeat power spectral density.This study demonstrates that the wingbeat recordings from a flying insect sensor can be used with machine learning methods to differentiate V. velutina from six other Hymenoptera species in the laboratory and this knowledge could be used to help develop a tool for use in integrated invasive alien species management programs. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

10.1002/ps.7296

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Citations (8)

A review of the combination among global change factors in forests, shrublands and pastures of the Mediterranean Region: Beyond drought effects

Global and Planetary Change (2016)

Enrique Doblas‐Miranda R. Alonso Xavier Arnán V. Bermejo Lluı́s Brotons

Shrubland

Global Change

Mediterranean Basin

10.1016/j.gloplacha.2016.11.012

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Citations (123)