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5 results on '"Czech Academy of Sciences RVO 67985939"'

1. Unveiling ecological assembly rules from commonalities in trait distributions

Author

François Munoz, Yoann Le Bagousse-Pinguet, Cyrille Violle, Nicolas Gross, Hugo Saiz, Pierre Liancourt, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), University of Tübingen, University of Bern, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Grenoble Alpes - Institut national supérieur du professorat et de l'éducation - Académie de Grenoble (UGA INSPE Grenoble), Université Grenoble Alpes (UGA), Laboratoire Interdisciplinaire de Physique [Saint Martin d’Hères] (LIPhy ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), CAP 20-25 16-IDEX-0001, Czech Academy of Sciences RVO 67985939, European Commission FP7-609398, Grant Agency of the Czech Republic GACR 17-19376S, Marie Sklodowska-Curie Actions Individual Fellowship 656035, European Project, European Project: 639706,H2020,ERC-2014-STG,CONSTRAINTS(2015), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
0106 biological sciences, Assembly rules, community assembly rules, dispersalenvironmental filtering, Variation (game tree), Environment, 010603 evolutionary biology, 01 natural sciences, 03 medical and health sciences, kewness-kurtosis relationship, trait distributions, Ecosystem, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, stochasticity, 0303 health sciences, Ecology, Niche differentiation, Biodiversity, 15. Life on land, functional diversity, Biota, Phenotype, Geography, Skewness, Kurtosis, Trait, Biological dispersal, Identification (biology), [SDE.BE]Environmental Sciences/Biodiversity and Ecology, niche differentiations
Abstract

International audience; Deciphering the effect of neutral and deterministic processes on community assembly is critical to understand and predict diversity patterns. The information held in community trait distributions is commonly assumed as a signature of these processes, but empirical and modelling attempts have most often failed to untangle their confounding, sometimes opposing, impacts. Here, we simulated the assembly of trait distributions through stochastic (dispersal limitation) and/or deterministic scenarios (environmental filtering and niche differentiation). We characterized the shape of trait distributions using the skewness-kurtosis relationship. We identified commonalities in the co-variation between the skewness and the kurtosis of trait distributions with a unique signature for each simulated assembly scenario. Our findings were robust to variation in the composition of regional species pools, dispersal limitation and environmental conditions. While ecological communities can exhibit a high degree of idiosyncrasy, identification of commonalities across multiple communities can help to unveil ecological assembly rules in real-world ecosystems.

Published
2021
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2. Massive economic costs of biological invasions despite widespread knowledge gaps: a dual setback for India

Author

Alok Bang, Ross N. Cuthbert, Phillip J. Haubrock, Romina D. Fernandez, Desika Moodley, Christophe Diagne, Anna J. Turbelin, David Renault, Tatenda Dalu, Franck Courchamp, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Faculty of Fisheries and Protection of Waters [University of South Bohemia], University of South Bohemia, Senckenberg Research Institute and Natural History Museum [Frankfurt], Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Universidad Nacional de Tucumán (UNT), Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), Université Paris-Saclay, Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), University of Mpumalanga (UMP), French National Research Agency French National Research Agency (ANR) [ANR-14-CE02-0021], BNP-Paribas Foundation Climate Initiative through the InvaCost Project, University Paris Saclay, CNRS Centre National de la Recherche Scientifique (CNRS) European Commission, AXA Research Fund Chair of Invasion Biology of University Paris Saclay, 2017-2018 Belmont Forum under the BiodivScen ERA-Net COFUND Programme [BMBF/PT DLR 01LC1807C], BiodivERsA Joint Call for Research proposals under the BiodivScen ERA-Net COFUND Programme with Project \'Alien Scenarios\' [BMBF/PT DLR 01LC1807C], Czech Science FoundationGrant Agency of the Czech Republic [18-18495S, 19-28807X], Czech Academy of Sciences Czech Academy of Sciences [RVO 67985939], Alexander von Humboldt Foundation Alexander von Humboldt Foundation, French National Network 'Biological Invasions' (GdR InvaBio), ANR-14-CE02-0021,InvaCosts,Insectes envahissants et leurs couts pour la biodiversité, l'économie et la santé humaine(2014), Queen's University [Belfast] (QUB), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), and Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
InvaCost, Ecology, Non-native species, Nonnative species, SDG 8 - Decent Work and Economic Growth, Socioeconomic measures, South Asia, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SDE.ES]Environmental Sciences/Environmental and Society, Economic impact, JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics/Q.Q5.Q51 - Valuation of Environmental Effects, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecology, Evolution, Behavior and Systematics
Abstract

Biological invasions are one of the top drivers of the ongoing biodiversity crisis. An underestimated consequence of invasions is the enormity of their economic impacts. Knowledge gaps regarding economic costs produced by invasive alien species (IAS) are pervasive, particularly for emerging economies such as India—the fastest growing economy worldwide. To investigate, highlight and bridge this gap, we synthesised data on the economic costs of IAS in India. Specifically, we examine how IAS costs are distributed spatially, environmentally, sectorally, taxonomically, temporally, and across introduction pathways; and discuss how Indian IAS costs vary with socioeconomic indicators. We found that IAS have cost the Indian economy between at least US$ 127.3 billion to 182.6 billion (Indian Rupees ₹ 8.3 trillion to 11.9 trillion) over 1960–2020, and these costs have increased with time. Despite these massive recorded costs, most were not assigned to specific regions, environments, sectors, cost types and causal IAS, and these knowledge gaps are more pronounced in India than in the rest of the world. When costs were specifically assigned, maximum costs were incurred in West, South and North India, by invasive alien insects in semi-aquatic ecosystems; they were incurred mainly by the public and social welfare sector, and were associated with damages and losses rather than management expenses. Our findings indicate that the reported economic costs grossly underestimate the actual costs, especially considering the expected costs given India’s population size, gross domestic product and high numbers of IAS without reported costs. This cost analysis improves our knowledge of the negative economic impacts of biological invasions in India and the burden they can represent for its development. We hope this study motivates policymakers to address socio-ecological issues in India and launch a national biological invasion research programme, especially since economic growth will be accompanied by greater impacts of global change.

Published
2022
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3. Economic costs of invasive alien species in the Mediterranean basin

Author

Christophe Diagne, Elena Angulo, Melina Kourantidou, Nigel G. Taylor, Phillip J. Haubrock, Franck Courchamp, Boris Leroy, David Renault, César Capinha, Ross N. Cuthbert, Ana Novoa, Woods Hole Oceanographic Institution (WHOI), Hellenic Centre for Marine Research (HCMR), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Queen's University [Belfast] (QUB), Faculty of Fisheries and Protection of Waters [University of South Bohemia], University of South Bohemia, Senckenberg Research Institute and Natural History Museum [Frankfurt], Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), Institut de recherche de la Tour du Valat, Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), French National Research Agency (ANR) [ANR-14-CE02-0021], BNP-Paribas Foundation Climate Initiative, AXA Research Fund Chair of Invasion Biology, Alexander von Humboldt Foundation, Portuguese National Funds through Fundacao para a Ciencia e a Tecnologia [CEECIND/02037/2017, UIDB/00295/2020, IDP/00295/2020], EXPRO (Czech Science Foundation) [19-28807X], long-term research development project (Czech Academy of Sciences) [RVO 67985939], BiodivERsA, Belmont-Forum call 2018 on biodiversity scenarios, ANR-14-CE02-0021,InvaCosts,Insectes envahissants et leurs couts pour la biodiversité, l'économie et la santé humaine(2014), Repositório da Universidade de Lisboa, Hellenic Center for Marine Research (HCMR), Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Tour du Valat, Research Institute for the conservation of Mediterranean Wetlands, and Université Paris-Saclay

Subjects
0106 biological sciences, Mediterranean climate, InvaCost, Natural resource economics, QH301-705.5, Plant Science, Aquatic Science, 010603 evolutionary biology, 01 natural sciences, Mediterranean Basin, Invasive species, resource losses, socioeconomic dimensions, monetary impacts, Economic cost, Taxonomic rank, geographic connectivity, Biology (General), Baseline (configuration management), Socioeconomic status, non-indigenous species, Ecology, Evolution, Behavior and Systematics, health care economics and organizations, SDG 15 - Life on Land, Ecology, 010604 marine biology & hydrobiology, Ecological Modeling, 15. Life on land, Geography, 13. Climate action, Insect Science, [SDE]Environmental Sciences, Damages, Animal Science and Zoology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

International audience; Invasive alien species (IAS) negatively impact the environment and undermine human well-being, often resulting in considerable economic costs. The Mediterranean basin is a culturally, socially and economically diverse region, harbouring many IAS that threaten economic and societal integrity in multiple ways. This paper is the first attempt to collectively quantify the reported economic costs of IAS in the Mediterranean basin, across a range of taxonomic, temporal and spatial descriptors. We identify correlates of costs from invasion damages and management expenditures among key socioeconomic variables, and determine network structures that link countries and invasive taxonomic groups. The total reported invasion costs in the Mediterranean basin amounted to $27.3 billion, or $3.6 billion when only realised costs were considered, and were found to have occurred over the last three decades. Our understanding of costs of invasions in the Mediterranean was largely limited to a few, primarily western European countries and to terrestrial ecosystems, despite the known presence of numerous high-impact aquatic invasive taxa. The vast majority of costs were attributed to damages or losses from invasions ($25.2 billion) and were mostly driven by France, Spain and to a lesser extent Italy and Libya, with significantly fewer costs attributed to management expenditure ($1.7 billion). Overall, invasion costs increased through time, with average annual costs between 1990 and 2017 estimated at $975.5 million. The lack of information from a large proportion of Mediterranean countries, reflected in the spatial and taxonomic connectivity analysis and the relationship of costs with socioeconomic variables, highlights the limits of the available data and the research effort needed to improve a collective understanding of the different facets of the costs of biological invasions. Our analysis of the reported costs associated with invasions in the Mediterranean sheds light on key knowledge gaps and provides a baseline for a Mediterranean-centric approach towards building policies and designing coordinated responses. In turn, these could help reach socially desirable outcomes and efficient use of resources invested in invasive species research and management.

Published
2021
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4. How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models

Author

Katharina Albrich, Matthias Speich, Gunnar Petter, Peter Bebi, Austin Haffenden, Paola Mairota, Harald Bugmann, Robert M. Scheller, Dirk R. Schmatz, Rupert Seidl, Heike Lischke, Josef Brůna, Giorgio Vacchiano, Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Department of Agri-Environmental and Territorial Sciences, University of Bari Aldo Moro (UNIBA), Institute of Silviculture, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Forestry and Environmental Resources [Raleigh] (FER), North Carolina State University [Raleigh] (NC State), University of North Carolina System (UNC)-University of North Carolina System (UNC), Technical University of Munich (TUM), Università degli Studi di Milano [Milano] (UNIMI), European Cooperation in Science and Technology (COST) : FP1304, French National Research Agency (ANR) : ANR-14-CE36-0001-01, Swiss National Science Foundation (SNSF) - European Commission : SNF 163250, Ministry of Education, Universities and Research (MIUR) : PONa3_00052, Ministry of Education, Universities and Research (MIUR) : PON04a2_A, Austrian Science Fund through START grant : Y895-B25, Ministry of Education, Youth & Sports - Czech Republic : LD15158, Czech Academy of Sciences : RVO 67985939, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), and Lehrstuhl für Ökosystemdynamik und Waldmanagement in Gebirgslandschaften

Subjects
0106 biological sciences, Environmental Engineering, 010504 meteorology & atmospheric sciences, Calibration (statistics), Forest landscape, Disturbances, 010603 evolutionary biology, 01 natural sciences, Landscape dynamics, Forest landscape models, Model comparison, Variance partitioning, Dispersal, Future projections, Temperate climate, ddc:630, 0105 earth and related environmental sciences, Biomass (ecology), Ecological Modeling, Variance (accounting), 15. Life on land, ddc, Disturbance (ecology), 13. Climate action, Biological dispersal, Environmental science, Physical geography, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Software
Abstract

International audience; Projections of landscape dynamics are uncertain, partly due to uncertainties in model formulations. However, quantitative comparative analyses of forest landscape models are lacking. We conducted a systematic comparison of all forest landscape models currently applied in temperate European forests (LandClim, TreeMig, LANDIS-II, iLand). We examined the uncertainty of model projections under several future climate, disturbance, and dispersal scenarios, and quantified uncertainties by variance partitioning. While projections under past climate conditions were in good agreement with observations, uncertainty under future climate conditions was high, with between-model biomass differences of up to 200 t ha-1. Disturbances strongly influenced landscape dy-namics and contributed substantially to uncertainty in model projections (similar to 25-40% of observed variance). Overall, model differences were the main source of uncertainty, explaining at least 50% of observed variance. We advocate a more rigorous and systematic model evaluation and calibration, and a broader use of ensemble projections to quantify uncertainties in future landscape dynamics.

Published
2020
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5. Crossing Frontiers in Tackling Pathways of Biological Invasions

Author

Petr Pyšek, Sabrina Kumschick, Philip E. Hulme, Stefan Schindler, Tim M. Blackburn, Ingolf Kühn, Alain Roques, Giuseppe Brundu, Belinda Gallardo, Shyama Pagad, René Eschen, Angeliki F. Martinou, Argyro Zenetos, Helen E. Roy, Hanno Seebens, Jonathan M. Jeschke, Riccardo Scalera, Sven Bacher, Montserrat Vilà, Franz Essl, Sarah Brunel, Ana Cristina Cardoso, Wolfgang Rabitsch, Wolfgang Nentwig, Jan Pergl, Marc Kenis, Olaf Booy, Piero Genovesi, Bella S. Galil, Sonia Vanderhoeven, Quentin Groom, Emili García-Berthou, Colette O'Flynn, Colin A. Harrower, John R. U. Wilson, David M. Richardson, Stelios Katsanevakis, Μαρτίνου, Αγγελική, Department of Botany and Zoology, Stellenbosch University, University of Vienna [Vienna], Department of Biodiversity and Nature Conservation, Environment Agency Austria, Department of Biology, Northern Arizona University [Flagstaff], University of Adelaide, Distinguished Scientist Fellowship Program, King Saud University [Riyadh] (KSU), University College of London [London] (UCL), Animal and Plant Health Agency [Addlestone, UK] (APHA), Department of Agriculture, Università degli studi di Napoli Federico II, European and Mediterranean Plant Protection Organization - Organisation Européenne et Méditerranéenne pour la Protection des Plantes (EPPO), European Commission, CABI, Delemont, Switzerland, Partenaires INRAE, CSIC, EBD, E-41080 Seville, Spain, CSIR National Institute of Oceanography [India] (NIO), Department of environmental sciences, Universitat de Girona (UdG), International Union for Conservation of Nature, Institute for Environmental Protection and Research (ISPRA), Meise Botanic Garden, Natural Environment Research Council (NERC), Bio-Protection Research Centre, Lincoln University, University of the Aegean, Centre for Agricultural and Biosciences International (CABI), German Centre for Integrative Biodiversity Research (iDiv), Department of Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Department of Community Ecology, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Cyprus, Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), National Biodiversity Data Centre, Waterford Institute of Technology, University of Auckland [Auckland], Institute of Botany, Czech Academy of Sciences [Prague] (CAS), Charles University in Prague, Unité de recherche Zoologie Forestière (URZF), Institut National de la Recherche Agronomique (INRA), University of Oldenburg, Plate-forme Belge de la Biodiversité, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Hellenic Center for Marine Research (HCMR), Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Institute of Biology at the Department of Biology, Chemistry and Pharmacy, Free University of Berlin (FU), Austrian Climate Research Program ('Spec-Adapt') [KR11AC0K00355], ERA-Net BiodivERsA (project WhoIsNext), Austrian Science Foundation FWF, German VW-Foundation, ERA-Net BiodivERsA (project FFII), German Research Foundation DFG [JE 288/7-1], DFG [JE 288/9-1], DST-NRF Centre of Excellence for Invasion Biology, Working for Water programme, Swiss National Science Foundation, Drakenstein Trust, Natural Environment Research Council, Department for Environment, Food, and Rural Affairs, Joint Nature Conservation Committee, Czech Academy of Sciences [RVO 67985939], Czech Science Foundation [14-36079G, P504/11/1028], Czech Academy of Sciences, and Severo Ochoa Program for Centres of Excellence in R+D+I [SEV-2012-0262]

Subjects
0106 biological sciences, [SDV]Life Sciences [q-bio], Temporal trends, Alien species, alien species, Introduced species, Biology, 580 Plants (Botany), 010603 evolutionary biology, 01 natural sciences, temporal trends, propagule pressure, Ecology, 010604 marine biology & hydrobiology, Propagule pressure, 15. Life on land, Biological Sciences, Key features, Management, Pathway information, Impact, impact, 570 Life sciences, biology, 590 Animals (Zoology), General Agricultural and Biological Sciences, Natural Sciences, management
Abstract

International audience; Substantial progress has been made in understanding how pathways underlie and mediate biological invasions. However, key features of their role in invasions remain poorly understood, available knowledge is widely scattered, and major frontiers in research and management are insufficiently characterized. We review the state of the art, highlight recent advances, identify pitfalls and constraints, and discuss major challenges in four broad fields of pathway research and management: pathway classification, application of pathway information, management response, and management impact. We present approaches to describe and quantify pathway attributes (e.g., spatiotemporal changes, proxies of introduction effort, environmental and socioeconomic contexts) and how they interact with species traits and regional characteristics. We also provide recommendations for a research agenda with particular focus on emerging (or neglected) research questions and present new analytical tools in the context of pathway research and management.

Published
2015
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