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Golivets M, Knapp S, Essl F, Lenzner B, Latombe G, Leung B, Kühn I. Future changes in key plant traits across Central Europe vary with biogeographical status, woodiness, and habitat type. Sci Total Environ 2024; 907:167954. [PMID: 37866591 DOI: 10.1016/j.scitotenv.2023.167954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 10/24/2023]
Abstract
Many plant traits covary with environmental gradients, reflecting shifts in adaptive strategies and thus informing about potential consequences of future environmental change for vegetation and ecosystem functioning. Yet, the evidence of trait-environment relationships (TERs) remains too heterogeneous for reliable predictions, partially due to insufficient consideration of trait syndromes specific to certain growth forms and habitats. Moreover, it is still unclear whether non-native and native plants' traits align similarly along environmental gradients, limiting our ability to assess the impacts of future plant invasions. Using a Bayesian multilevel modelling framework, we assess TERs for native and non-native woody and herbaceous plants across six broad habitat types in Central Europe at a resolution of c. 130 km2 and use them to project trait change under future environmental change scenarios until 2081-2100. We model TERs between three key plant traits (maximum height, Hmax; specific leaf area, SLA; seed mass, SM) and individual environmental factors (7 climate variables and % urban land cover) and estimate trait change summed across all environmental effects. We also quantify the change in the average trait difference between native and non-native plants. Our models depict multiple TERs, with important differences attributed to biogeographical status and woodiness within and across habitat types. The overall magnitude of trait change is projected to be greater for non-native than native taxa and to increase under more extreme scenarios. Native woody plant assemblages may generally experience a future increase across all three traits, whereas woody non-natives may decline in Hmax and increase in SLA and SM. Herbaceous Hmax is estimated to increase and SLA to decrease in most habitats. The obtained trait projections highlight conditions of competitive advantage of non-native plants over natives and vice versa and can serve as starting points for projecting future changes in ecosystem functions and services.
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Affiliation(s)
- Marina Golivets
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle, Germany.
| | - Sonja Knapp
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle, Germany; Ecosystem Science/Plant Ecology, Department of Ecology, Technische Universität Berlin, Berlin, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, Germany
| | - Franz Essl
- Division of Bioinvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Bernd Lenzner
- Division of Bioinvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Guillaume Latombe
- Institute of Ecology and Evolution, The University of Edinburgh, King's Buildings, Edinburgh, United Kingdom
| | - Brian Leung
- Department of Biology, McGill University, Montreal, Quebec, Canada; Bieler School of Environment, McGill University, Montreal, Quebec, Canada
| | - Ingolf Kühn
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, Germany; Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany
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2
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Lenzner B, Latombe G, Schertler A, Seebens H, Yang Q, Winter M, Weigelt P, van Kleunen M, Pyšek P, Pergl J, Kreft H, Dawson W, Dullinger S, Essl F. Naturalized alien floras still carry the legacy of European colonialism. Nat Ecol Evol 2022; 6:1723-1732. [PMID: 36253544 DOI: 10.1038/s41559-022-01865-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/02/2022] [Indexed: 11/09/2022]
Abstract
The redistribution of alien species across the globe accelerated with the start of European colonialism. European powers were responsible for the deliberate and accidental transportation, introduction and establishment of alien species throughout their occupied territories and the metropolitan state. Here, we show that these activities left a lasting imprint on the global distribution of alien plants. Specifically, we investigated how four European empires (British, Spanish, Portuguese and Dutch) structured current alien floras worldwide. We found that compositional similarity is higher than expected among regions that once were occupied by the same empire. Further, we provide strong evidence that floristic similarity between regions occupied by the same empire increases with the time a region was occupied. Network analysis suggests that historically more economically or strategically important regions have more similar alien floras across regions occupied by an empire. Overall, we find that European colonial history is still detectable in alien floras worldwide.
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Affiliation(s)
- Bernd Lenzner
- BioInvasions, Global Change, Macroecology Group, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.
| | - Guillaume Latombe
- Institute of Ecology and Evolution, The University of Edinburgh, King's Buildings, Edinburgh, UK
| | - Anna Schertler
- BioInvasions, Global Change, Macroecology Group, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Hanno Seebens
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany
| | - Qiang Yang
- Ecology, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Marten Winter
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Leipzig University, Leipzig, Germany
| | - Patrick Weigelt
- Biodiversity, Macroecology & Biogeography, University of Göttingen, Göttingen, Germany.,Campus-Institut Data Science, Göttingen, Germany.,Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany
| | - Mark van Kleunen
- Ecology, Department of Biology, University of Konstanz, Konstanz, Germany.,Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou, China
| | - Petr Pyšek
- Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic.,Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Jan Pergl
- Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic
| | - Holger Kreft
- Biodiversity, Macroecology & Biogeography, University of Göttingen, Göttingen, Germany.,Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany
| | - Wayne Dawson
- Department of Biosciences, Durham University, Durham, UK
| | - Stefan Dullinger
- Department of Botany and Biodiversity Research, Biodiversity Dynamics & Conservation, University of Vienna, Vienna, Austria
| | - Franz Essl
- BioInvasions, Global Change, Macroecology Group, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
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3
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Probert AF, Wegmann D, Volery L, Adriaens T, Bakiu R, Bertolino S, Essl F, Gervasini E, Groom Q, Latombe G, Marisavljevic D, Mumford J, Pergl J, Preda C, Roy HE, Scalera R, Teixeira H, Tricarico E, Vanderhoeven S, Bacher S. Identifying, reducing, and communicating uncertainty in community science: a focus on alien species. Biol Invasions 2022; 24:3395-3421. [PMID: 36277057 PMCID: PMC9579088 DOI: 10.1007/s10530-022-02858-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 06/26/2022] [Indexed: 11/28/2022]
Abstract
Community science (also often referred to as citizen science) provides a unique opportunity to address questions beyond the scope of other research methods whilst simultaneously engaging communities in the scientific process. This leads to broad educational benefits, empowers people, and can increase public awareness of societally relevant issues such as the biodiversity crisis. As such, community science has become a favourable framework for researching alien species where data on the presence, absence, abundance, phenology, and impact of species is important in informing management decisions. However, uncertainties arising at different stages can limit the interpretation of data and lead to projects failing to achieve their intended outcomes. Focusing on alien species centered community science projects, we identified key research questions and the relevant uncertainties that arise during the process of developing the study design, for example, when collecting the data and during the statistical analyses. Additionally, we assessed uncertainties from a linguistic perspective, and how the communication stages among project coordinators, participants and other stakeholders can alter the way in which information may be interpreted. We discuss existing methods for reducing uncertainty and suggest further solutions to improve data reliability. Further, we make suggestions to reduce the uncertainties that emerge at each project step and provide guidance and recommendations that can be readily applied in practice. Reducing uncertainties is essential and necessary to strengthen the scientific and community outcomes of community science, which is of particular importance to ensure the success of projects aimed at detecting novel alien species and monitoring their dynamics across space and time.
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Affiliation(s)
- Anna F. Probert
- Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland
| | - Daniel Wegmann
- Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland
| | - Lara Volery
- Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland
| | - Tim Adriaens
- Research Institute for Nature and Forest (INBO), Herman Teirlinckgebouw, Havenlaan 88 bus 73, 1000 Brussels, Belgium
| | - Rigers Bakiu
- Faculty of Agriculture and Environment, Department of Aquaculture and Fisheries, Agricultural University of Tirana, Koder-Kamez, Tirane, Albania
| | - Sandro Bertolino
- Department of Life Sciences and Systems Biology, University of Turin, 10123 Turin, Italy
| | - Franz Essl
- Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University Vienna, Rennweg 14, 1030 Vienna, Austria
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | | | | | - Guillaume Latombe
- Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University Vienna, Rennweg 14, 1030 Vienna, Austria
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, EH9 3JT UK
| | | | - John Mumford
- Centre for Environmental Policy, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY UK
| | - Jan Pergl
- Institute of Botany, Czech Academy of Sciences, 252 43 Průhonice, Czech Republic
| | - Cristina Preda
- Ovidius University of Constanta, Al. Universitatii nr.1, Corp B, 900470 Constanta, Romania
| | - Helen E. Roy
- UK Centre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, OX10 8BB UK
| | | | - Heliana Teixeira
- CESAM - Centre for Environmental and Marine Studies, Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Elena Tricarico
- Department of Biology, University of Florence, Sesto Fiorentino, FI Italy
| | - Sonia Vanderhoeven
- Belgian Biodiversity Platform - Département du Milieu Naturel et Agricole - Service Public de Wallonie, Avenue Maréchal Juin 23, 5030 Gembloux, Belgium
| | - Sven Bacher
- Department of Biology, University of Fribourg, Chemin du Musée 15, 1700 Fribourg, Switzerland
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4
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Latombe G, Seebens H, Lenzner B, Courchamp F, Dullinger S, Golivets M, Kühn I, Leung B, Roura-Pascual N, Cebrian E, Dawson W, Diagne C, Jeschke JM, Pérez-Granados C, Moser D, Turbelin A, Visconti P, Essl F. Capacity of countries to reduce biological invasions. Sustain Sci 2022; 18:771-789. [PMID: 37012996 PMCID: PMC10063504 DOI: 10.1007/s11625-022-01166-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 04/25/2022] [Indexed: 06/19/2023]
Abstract
UNLABELLED The extent and impacts of biological invasions on biodiversity are largely shaped by an array of socio-economic and environmental factors, which exhibit high variation among countries. Yet, a global analysis of how these factors vary across countries is currently lacking. Here, we investigate how five broad, country-specific socio-economic and environmental indices (Governance, Trade, Environmental Performance, Lifestyle and Education, Innovation) explain country-level (1) established alien species (EAS) richness of eight taxonomic groups, and (2) proactive or reactive capacity to prevent and manage biological invasions and their impacts. These indices underpin many aspects of the invasion process, including the introduction, establishment, spread and management of alien species. They are also general enough to enable a global comparison across countries, and are therefore essential for defining future scenarios for biological invasions. Models including Trade, Governance, Lifestyle and Education, or a combination of these, best explained EAS richness across taxonomic groups and national proactive or reactive capacity. Historical (1996 or averaged over 1996-2015) levels of Governance and Trade better explained both EAS richness and the capacity of countries to manage invasions than more recent (2015) levels, revealing a historical legacy with important implications for the future of biological invasions. Using 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, we identified four main clusters of countries in 2015. Most countries had an increase in Trade over the past 25 years, but trajectories were more geographically heterogeneous for Governance. Declines in levels of Governance are concerning as they may be responsible for larger levels of invasions in the future. By identifying the factors influencing EAS richness and the regions most susceptible to changes in these factors, our results provide novel insights to integrate biological invasions into scenarios of biodiversity change to better inform decision-making for policy and the management of biological invasions. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11625-022-01166-3.
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Affiliation(s)
- Guillaume Latombe
- BioInvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
- Institute of Ecology and Evolution, The University of Edinburgh, King’s Buildings, Edinburgh, EH9 3FL UK
| | - Hanno Seebens
- Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Bernd Lenzner
- BioInvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
| | - Franck Courchamp
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France
| | - Stefan Dullinger
- BioInvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
| | - Marina Golivets
- Helmholtz Centre for Environmental Research-UFZ, Theodor-Lieser-Str. 4, 06120 Halle, Germany
| | - Ingolf Kühn
- Helmholtz Centre for Environmental Research-UFZ, Theodor-Lieser-Str. 4, 06120 Halle, Germany
- Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, 06099 Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Brian Leung
- Department of Biology, McGill University, Montreal, QC H3A 1B1 Canada
| | - Núria Roura-Pascual
- Departament de Ciències Ambientals, Facultat de Ciències, Universitat de Girona, 17003 Girona, Catalonia Spain
| | - Emma Cebrian
- Centre d’Estudis Avançats de Blanes-CSIC, 17003 Girona, Spain
- GRMAR, Institute of Aquatic Ecology, University of Girona, 17003 Girona, Spain
| | - Wayne Dawson
- Department of Biosciences, Durham University, South Road, Durham, DH1 3LE UK
| | - Christophe Diagne
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France
- CBGP, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
| | - Jonathan M. Jeschke
- Institute of Biology, Freie Universität Berlin, 14195 Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 12587 Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany
| | - Cristian Pérez-Granados
- Centre d’Estudis Avançats de Blanes-CSIC, 17003 Girona, Spain
- Ecology Department, Universidad de Alicante, 03080 Alicante, Spain
| | - Dietmar Moser
- BioInvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
| | - Anna Turbelin
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405 Orsay, France
| | - Piero Visconti
- Biodiversity, Ecology and Conservation Group, International Institute for Applied System Analyses, 2361 Laxenburg, Austria
| | - Franz Essl
- BioInvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
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5
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Latombe G, Catford JA, Essl F, Lenzner B, Richardson DM, Wilson JRU, McGeoch MA. GIRAE: a generalised approach for linking the total impact of invasion to species' range, abundance and per-unit effects. Biol Invasions 2022; 24:3147-3167. [PMID: 36131994 PMCID: PMC9482606 DOI: 10.1007/s10530-022-02836-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/11/2022] [Indexed: 12/27/2022]
Abstract
The total impact of an alien species was conceptualised as the product of its range size, local abundance and per-unit effect in a seminal paper by Parker et al. (Biol Invasions 1:3-19, 1999). However, a practical approach for estimating the three components has been lacking. Here, we generalise the impact formula and, through use of regression models, estimate the relationship between the three components of impact, an approach we term GIRAE (Generalised Impact = Range size × Abundance × per-unit Effect). We discuss how GIRAE can be applied to multiple types of impact, including environmental impacts, damage and management costs. We propose two methods for applying GIRAE. The species-specific method computes the relationship between impact, range size, abundance and per-unit effect for a given species across multiple invaded sites or regions of different sizes. The multi-species method combines data from multiple species across multiple sites or regions to calculate a per-unit effect for each species and is computed using a single regression model. The species-specific method is more accurate, but it requires a large amount of data for each species and assumes a constant per-unit effect for a species across the invaded area. The multi-species method is more easily applicable and data-parsimonious, but assumes the same relationship between impact, range size and abundance for all considered species. We illustrate these methods using data about money spent managing plant invasions in different biomes of South Africa. We found clear differences between species in terms of money spent per unit area invaded, with per-unit expenditure varying substantially between biomes for some species-insights that are useful for monitoring and evaluating management. GIRAE offers a versatile and practical method that can be applied to many different types of data to better understand and manage the impacts of biological invasions. Supplementary Information The online version contains supplementary material available at 10.1007/s10530-022-02836-0.
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Affiliation(s)
- Guillaume Latombe
- Institute of Ecology and Evolution, The University of Edinburgh, King’s Buildings, EH9 3FL Edinburgh, UK
| | - Jane A. Catford
- Department of Geography, King’s College London, 30 Aldwych, London, WC2B 4BG UK
- School of Ecosystem and Forest Sciences, University of Melbourne, VIC 3121 Richmond, Australia
| | - Franz Essl
- Bioinvasions, Global Change, Macroecology Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - Bernd Lenzner
- Bioinvasions, Global Change, Macroecology Group, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
| | - David M. Richardson
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - John R. U. Wilson
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
- South African National Biodiversity Institute, Kirstenbosch Research Centre, Cape Town, South Africa
| | - Melodie A. McGeoch
- Department of Ecology, Environment and Evolution, LaTrobe University, Melbourne, VIC 3086 Australia
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6
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Latombe G, Lenzner B, Schertler A, Dullinger S, Glaser M, Jarić I, Pauchard A, Wilson JRU, Essl F. What is valued in conservation? A framework to compare ethical perspectives. NB 2022. [DOI: 10.3897/neobiota.72.79070] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Perspectives in conservation are based on a variety of value systems. Such differences in how people value nature and its components lead to different evaluations of the morality of conservation goals and approaches, and often underlie disagreements in the formulation and implementation of environmental management policies. Specifically, whether a conservation action (e.g. killing feral cats to reduce predation on bird species threatened with extinction) is viewed as appropriate or not can vary among people with different value systems. Here, we present a conceptual, mathematical framework intended as a tool to systematically explore and clarify core value statements in conservation approaches. Its purpose is to highlight how fundamental differences between these value systems can lead to different prioritizations of available management options and offer a common ground for discourse. The proposed equations decompose the question underlying many controversies around management decisions in conservation: what or who is valued, how, and to what extent? We compare how management decisions would likely be viewed under three idealised value systems: ecocentric conservation, which aims to preserve biodiversity; new conservation, which considers that biodiversity can only be preserved if it benefits humans; and sentientist conservation, which aims at minimising suffering for sentient beings. We illustrate the utility of the framework by applying it to case studies involving invasive alien species, rewilding, and trophy hunting. By making value systems and their consequences in practice explicit, the framework facilitates debates on contested conservation issues, and complements philosophical discursive approaches about moral reasoning. We believe dissecting the core value statements on which conservation decisions are based will provide an additional tool to understand and address conservation conflicts.
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7
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Henriksen MV, Latombe G, Chapple DG, Chown SL, McGeoch MA. A multi-site method to capture turnover in rare to common interactions in bipartite species networks. J Anim Ecol 2021; 91:404-416. [PMID: 34800042 DOI: 10.1111/1365-2656.13639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 11/09/2021] [Indexed: 12/01/2022]
Abstract
Ecological network structure is maintained by a generalist core of common species. However, rare species contribute substantially to both the species and functional diversity of networks. Capturing changes in species composition and interactions, measured as turnover, is central to understanding the contribution of rare and common species and their interactions. Due to a large contribution of rare interactions, the pairwise metrics used to quantify interaction turnover are, however, sensitive to compositional change in the interactions of, often rare, peripheral specialists rather than common generalists in the network. Here we expand on pairwise interaction turnover using a multi-site metric that enables quantifying turnover in rare to common interactions (in terms of occurrence of interactions). The metric further separates this turnover into interaction turnover due to species turnover and interaction rewiring. We demonstrate the application and value of this method using a host-parasitoid system sampled along gradients of environmental modification. In the study system, both the type and amount of habitat needed to maintain interaction composition depended on the properties of the interactions considered, that is, from rare to common. The analyses further revealed the potential of host switching to prevent or delay species loss, and thereby buffer the system from perturbation. Multi-site interaction turnover provides a comprehensive measure of network change that can, for example, detect ecological thresholds to habitat loss for rare to common interactions. Accurate description of turnover in common, in addition to rare, species and their interactions is particularly relevant for understanding how network structure and function can be maintained.
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Affiliation(s)
- Marie V Henriksen
- School of Biological Sciences, Monash University, Clayton, Vic., Australia.,Department of Landscape and Biodiversity, Norwegian Institute of Bioeconomy Research, Trondheim, Norway
| | - Guillaume Latombe
- School of Biological Sciences, Monash University, Clayton, Vic., Australia.,Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK
| | - David G Chapple
- School of Biological Sciences, Monash University, Clayton, Vic., Australia
| | - Steven L Chown
- School of Biological Sciences, Monash University, Clayton, Vic., Australia
| | - Melodie A McGeoch
- School of Biological Sciences, Monash University, Clayton, Vic., Australia.,Department of Ecology, Environment and Evolution, Centre for Future Landscapes, La Trobe University, Melbourne, Vic., Australia
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8
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Hui C, Richardson DM, Landi P, Minoarivelo HO, Roy HE, Latombe G, Jing X, CaraDonna PJ, Gravel D, Beckage B, Molofsky J. Trait positions for elevated invasiveness in adaptive ecological networks. Biol Invasions 2021. [DOI: 10.1007/s10530-021-02484-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
AbstractOur ability to predict the outcome of invasion declines rapidly as non-native species progress through intertwined ecological barriers to establish and spread in recipient ecosystems. This is largely due to the lack of systemic knowledge on key processes at play as species establish self-sustaining populations within the invaded range. To address this knowledge gap, we present a mathematical model that captures the eco-evolutionary dynamics of native and non-native species interacting within an ecological network. The model is derived from continuous-trait evolutionary game theory (i.e., Adaptive Dynamics) and its associated concept of invasion fitness which depicts dynamic demographic performance that is both trait mediated and density dependent. Our approach allows us to explore how multiple resident and non-native species coevolve to reshape invasion performance, or more precisely invasiveness, over trait space. The model clarifies the role of specific traits in enabling non-native species to occupy realised opportunistic niches. It also elucidates the direction and speed of both ecological and evolutionary dynamics of residing species (natives or non-natives) in the recipient network under different levels of propagule pressure. The versatility of the model is demonstrated using four examples that correspond to the invasion of (i) a horizontal competitive community; (ii) a bipartite mutualistic network; (iii) a bipartite antagonistic network; and (iv) a multi-trophic food web. We identified a cohesive trait strategy that enables the success and establishment of non-native species to possess high invasiveness. Specifically, we find that a non-native species can achieve high levels of invasiveness by possessing traits that overlap with those of its facilitators (and mutualists), which enhances the benefits accrued from positive interactions, and by possessing traits outside the range of those of antagonists, which mitigates the costs accrued from negative interactions. This ‘central-to-reap, edge-to-elude’ trait strategy therefore describes the strategic trait positions of non-native species to invade an ecological network. This model provides a theoretical platform for exploring invasion strategies in complex adaptive ecological networks.
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9
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Latombe G, Richardson DM, McGeoch MA, Altwegg R, Catford JA, Chase JM, Courchamp F, Esler KJ, Jeschke JM, Landi P, Measey J, Midgley GF, Minoarivelo HO, Rodger JG, Hui C. Mechanistic reconciliation of community and invasion ecology. Ecosphere 2021; 12:e03359. [PMID: 34938590 PMCID: PMC8647914 DOI: 10.1002/ecs2.3359] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 08/30/2020] [Indexed: 11/10/2022] Open
Abstract
Community and invasion ecology have mostly grown independently. There is substantial overlap in the processes captured by different models in the two fields, and various frameworks have been developed to reduce this redundancy and synthesize information content. Despite broad recognition that community and invasion ecology are interconnected, a process-based framework synthesizing models across these two fields is lacking. Here we review 65 representative community and invasion models and propose a common framework articulated around six processes (dispersal, drift, abiotic interactions, within-guild interactions, cross-guild interactions, and genetic changes). The framework is designed to synthesize the content of the two fields, provide a general perspective on their development, and enable their comparison. The application of this framework and of a novel method based on network theory reveals some lack of coherence between the two fields, despite some historical similarities. Community ecology models are characterized by combinations of multiple processes, likely reflecting the search for an overarching theory to explain community assembly and structure, drawing predominantly on interaction processes, but also accounting largely for the other processes. In contrast, most models in invasion ecology invoke fewer processes and focus more on interactions between introduced species and their novel biotic and abiotic environment. The historical dominance of interaction processes and their independent developments in the two fields is also reflected in the lower level of coherence for models involving interactions, compared to models involving dispersal, drift, and genetic changes. It appears that community ecology, with a longer history than invasion ecology, has transitioned from the search for single explanations for patterns observed in nature to investigate how processes may interact mechanistically, thereby generating and testing hypotheses. Our framework paves the way for a similar transition in invasion ecology, to better capture the dynamics of multiple alien species introduced in complex communities. Reciprocally, applying insights from invasion to community ecology will help us understand and predict the future of ecological communities in the Anthropocene, in which human activities are weakening species' natural boundaries. Ultimately, the successful integration of the two fields could advance a predictive ecology that is urgently required in a rapidly changing world.
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Affiliation(s)
- Guillaume Latombe
- BioInvasions, Global ChangeMacroecology‐GroupDepartment of Botany and Biodiversity ResearchUniversity ViennaRennweg 14Vienna1030Austria
- Centre for Invasion BiologyDepartment of Botany and ZoologyStellenbosch UniversityStellenbosch7600South Africa
| | - David M. Richardson
- Centre for Invasion BiologyDepartment of Botany and ZoologyStellenbosch UniversityStellenbosch7600South Africa
| | - Melodie A. McGeoch
- School of Biological SciencesMonash UniversityClaytonVictoria3800Australia
| | - Res Altwegg
- Statistics in Ecology, Environment and ConservationDepartment of Statistical SciencesUniversity of Cape TownRondebosch7701South Africa
| | - Jane A. Catford
- Department of GeographyKing’s College LondonWC2B 4BGLondonUK
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐LeipzigDeutscherplatz 5eLeipzigGermany
- Department of Computer SciencesMartin Luther UniversityHalle (Saale)Germany
| | - Franck Courchamp
- Université Paris‐SaclayEcologie Systématique et EvolutionCNRSAgroParisTechOrsay91405France
| | - Karen J. Esler
- Department of Conservation Ecology & Entomology and Centre for Invasion BiologyStellenbosch UniversityPrivate Bag x1Matieland7602South Africa
| | - Jonathan M. Jeschke
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB)Müggelseedamm 310Berlin12587Germany
- Freie Universität BerlinDepartment of Biology, Chemistry, PharmacyInstitute of BiologyKönigin‐Luise‐Str. 1‐3Berlin14195Germany
- Berlin‐Brandenburg Institute of Advanced Biodiversity Research (BBIB)Königin‐Luise‐Str. 2‐4Berlin14195Germany
| | - Pietro Landi
- Centre for Invasion BiologyDepartment of Mathematical SciencesStellenbosch UniversityStellenbosch7600South Africa
| | - John Measey
- Centre for Invasion BiologyDepartment of Botany and ZoologyStellenbosch UniversityStellenbosch7600South Africa
| | - Guy F. Midgley
- Global Change Biology GroupDepartment of Botany and ZoologyStellenbosch UniversityStellenbosch7600South Africa
| | - Henintsoa O. Minoarivelo
- Centre for Invasion BiologyDepartment of Mathematical SciencesStellenbosch UniversityStellenbosch7600South Africa
| | - James G. Rodger
- Centre for Invasion BiologyDepartment of Mathematical SciencesStellenbosch UniversityStellenbosch7600South Africa
| | - Cang Hui
- Centre for Invasion BiologyDepartment of Mathematical SciencesStellenbosch UniversityStellenbosch7600South Africa
- Biodiversity Informatics UnitAfrican Institute for Mathematical SciencesCape Town7945South Africa
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10
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Cuthbert RN, Bacher S, Blackburn TM, Briski E, Diagne C, Dick JTA, Essl F, Genovesi P, Haubrock PJ, Latombe G, Lenzner B, Meinard Y, Pauchard A, Pyšek P, Ricciardi A, Richardson DM, Russell JC, Simberloff D, Courchamp F. Invasion costs, impacts, and human agency: response to Sagoff 2020. Conserv Biol 2020; 34:1579-1582. [PMID: 33216401 DOI: 10.1111/cobi.13592] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/17/2020] [Accepted: 03/31/2020] [Indexed: 06/11/2023]
Abstract
Article impact statement: In an era of profound biodiversity crisis, invasion costs, invader impacts, and human agency should not be dismissed.
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Affiliation(s)
- Ross N Cuthbert
- GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Kiel, 24105, Germany
- School of Biological Sciences, Queen's University Belfast, Belfast, BT9 5DL, U.K
| | - Sven Bacher
- Department of Biology, University of Fribourg, Chemin du Musée 10, Fribourg, 1700, Switzerland
| | - Tim M Blackburn
- Centre for Biodiversity and Environment Research, University College London, Gower Street, London, WC1E 6BT, U.K
- Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, U.K
| | - Elizabeta Briski
- GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Kiel, 24105, Germany
| | - Christophe Diagne
- CNRS, AgroParisTech, Ecologie Systématique Evolution, Université Paris-Saclay, Orsay, 91405, France
| | - Jaimie T A Dick
- School of Biological Sciences, Queen's University Belfast, Belfast, BT9 5DL, U.K
| | - Franz Essl
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, 1030, Austria
| | - Piero Genovesi
- Institute for Environmental Protection and Research ISPRA, and Chair IUCN SSC Invasive Species Specialist Group, Rome, Italy
| | - Phillip J Haubrock
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, 60325, Germany
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, Zátiší 728/II, Vodňany, 389 25, Czech Republic
| | - Guillaume Latombe
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, 1030, Austria
| | - Bernd Lenzner
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, 1030, Austria
| | - Yves Meinard
- Paris Sciences et Lettres Research University, Université Paris-Dauphine, CNRS, UMR [7243], Lamcade, Place Lattre de Tassigny, Paris, 75016, France
| | - Aníbal Pauchard
- Laboratorio de Invasiones Biológicas (LIB), Facultad de Ciencias Forestales, Universidad de Concepción, Casilla 160-C, Concepción, Chile
- Instituto de Ecología y Biodiversidad (IEB), Santiago, Chile
| | - Petr Pyšek
- Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Průhonice, CZ-252 43, Czech Republic
- Department of Ecology, Faculty of Science, Charles University, Viničná 7, Prague, CZ-128 44, Czech Republic
| | - Anthony Ricciardi
- Redpath Museum, McGill University, Montreal, Quebec, H3A 0C4, Canada
| | - David M Richardson
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - James C Russell
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Daniel Simberloff
- Department of Ecology and Evolutionary Biology, University of Tennessee, 569 Dabney Hall, 1416 Circle Dr, Knoxville, TN, 37996, U.S.A
| | - Franck Courchamp
- CNRS, AgroParisTech, Ecologie Systématique Evolution, Université Paris-Saclay, Orsay, 91405, France
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11
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Essl F, Latombe G, Lenzner B, Pagad S, Seebens H, Smith K, Wilson JRU, Genovesi P. The Convention on Biological Diversity (CBD)’s Post-2020 target on invasive alien species – what should it include and how should it be monitored? NB 2020. [DOI: 10.3897/neobiota.62.53972] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The year 2020 and the next few years are critical for the development of the global biodiversity policy agenda until the mid-21st century, with countries agreeing to a Post-2020 Global Biodiversity Framework under the Convention on Biological Diversity (CBD). Reducing the substantial and still rising impacts of invasive alien species (IAS) on biodiversity will be essential if we are to meet the 2050 Vision where biodiversity is valued, conserved, and restored. A tentative target has been developed by the IUCN Invasive Species Specialist Group (ISSG), and formally submitted to the CBD for consideration in the discussion on the Post-2020 targets. Here, we present properties of this proposal that we regard as essential for an effective Post-2020 Framework. The target should explicitly consider the three main components of biological invasions, i.e. (i) pathways, (ii) species, and (iii) sites; the target should also be (iv) quantitative, (v) supplemented by a set of indicators that can be applied to track progress, and (vi) evaluated at medium- (2030) and long-term (2050) time horizons. We also present a proposed set of indicators to track progress. These properties and indicators are based on the increasing scientific understanding of biological invasions and effectiveness of responses. Achieving an ambitious action-oriented target so that the 2050 Vision can be achieved will require substantial effort and resources, and the cooperation of a wide range of stakeholders.
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12
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Abstract
The number of alien species introduced and undergoing range expansion in novel environments is steadily increasing, with important consequences for native ecosystems. The efficacy of management planning and decision making to limit such invasions can be improved by understanding how interventions will impact the population dynamics of recently introduced species. To do so, here we expand on a typological framework that enables the classification of populations over time into 10 categories of commonness, and apply it to a spatially discrete metapopulation with heterogeneous abundance across spatial units (patches). We use this framework to assess the effect of cross-boundary management on the capacity of a metapopulation with different demographic and dispersal characteristics, including time lags in population growth, to become common. We demonstrate this framework by simulating a simple theoretical metapopulation model capable of exploring a range of environments, species characteristics, and management actions. Management can vary in the efficacy of propagule interception between patches, and in the synchronisation of the implementation of these measures across patches (i.e. if management is implemented simultaneously across patches). Simulations show that poor interception efficacy that only modestly reduces the number of propagules entering a given spatial unit cannot be compensated for by strong management synchronisation between spatial units. Management synchronisation will nonetheless result in a reduction in rates of spread once a critical threshold of interception efficacy has been met. Finally, time lags in population growth that may result in delayed spread are an important aspect to be considered in management as they can amplify the efficacy of management. Our results demonstrate how a typological framework of categories of commonness can be used to provide practical insights for the management of biological invasions.
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13
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Lenzner B, Latombe G, Capinha C, Bellard C, Courchamp F, Diagne C, Dullinger S, Golivets M, Irl SDH, Kühn I, Leung B, Liu C, Moser D, Roura-Pascual N, Seebens H, Turbelin A, Weigelt P, Essl F. What Will the Future Bring for Biological Invasions on Islands? An Expert-Based Assessment. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00280] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
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14
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Abstract
Critical thermal limits (CTLs) show much variation associated with the experimental rate of temperature change used in their estimation. Understanding the full range of variation in rate effects on CTLs and their underlying basis is thus essential if methodological noise is not to overwhelm or bias the ecological signal. We consider the effects of rate variation from multiple intraspecific assessments and provide a comprehensive empirical analysis of the rate effects on both the critical thermal maximum (CTmax) and critical thermal minimum (CTmin) for 47 species of ectotherms, exploring which of the available theoretical models best explains this variation. We find substantial interspecific variation in rate effects, which takes four different forms (increase, decline, no change, mixed), with phylogenetic signal in effects on CTmax, but not CTmin. Exponential and zero exponential failure rate models best explain the rate effects on CTmax. The majority of the empirical rate variation in CTmin could not be explained by the failure rate models. Our work demonstrates that rate effects cannot be ignored in comparative analyses, and suggests that incorporation of the failure rate models into such analyses is a useful further avenue for exploration of the fundamental basis and implications of such variation.
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Affiliation(s)
- Aleksandra Kovacevic
- 1 School of Biological Sciences, Monash University , Melbourne, Victoria 3800 , Australia
| | - Guillaume Latombe
- 2 Department of Mathematical Sciences, Centre for Invasion Biology, Stellenbosch University , Stellenbosch 7602 , South Africa
| | - Steven L Chown
- 1 School of Biological Sciences, Monash University , Melbourne, Victoria 3800 , Australia
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15
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Ascensão F, Latombe G, Anadón JD, Abellán P, Cardador L, Carrete M, Tella JL, Capinha C. Drivers of compositional dissimilarity for native and alien birds: the relative roles of human activity and environmental suitability. Biol Invasions 2020. [DOI: 10.1007/s10530-020-02196-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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16
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McGeoch MA, Latombe G, Andrew NR, Nakagawa S, Nipperess DA, Roigé M, Marzinelli EM, Campbell AH, Vergés A, Thomas T, Steinberg PD, Selwood KE, Henriksen MV, Hui C. Measuring continuous compositional change using decline and decay in zeta diversity. Ecology 2019; 100:e02832. [PMID: 31323117 DOI: 10.1002/ecy.2832] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 05/24/2019] [Accepted: 06/13/2019] [Indexed: 12/21/2022]
Abstract
Incidence, or compositional, matrices are generated for a broad range of research applications in biology. Zeta diversity provides a common currency and conceptual framework that links incidence-based metrics with multiple patterns of interest in biology, ecology, and biodiversity science. It quantifies the variation in species (or OTU) composition of multiple assemblages (or cases) in space or time, to capture the contribution of the full suite of narrow, intermediate, and wide-ranging species to biotic heterogeneity. Here we provide a conceptual framework for the application and interpretation of patterns of continuous change in compositional diversity using zeta diversity. This includes consideration of the survey design context, and the multiple ways in which zeta diversity decline and decay can be used to examine and test turnover in the identity of elements across space and time. We introduce the zeta ratio-based retention rate curve to quantify rates of compositional change. We illustrate these applications using 11 empirical data sets from a broad range of taxa, scales, and levels of biological organization-from DNA molecules and microbes to communities and interaction networks-including one of the original data sets used to express compositional change and distance decay in ecology. We show (1) how different sample selection schemes used during the calculation of compositional change are appropriate for different data types and questions, (2) how higher orders of zeta may in some cases better detect shifts and transitions, and (3) the relative roles of rare vs. common species in driving patterns of compositional change. By exploring the application of zeta diversity decline and decay, including the retention rate, across this broad range of contexts, we demonstrate its application for understanding continuous turnover in biological systems.
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Affiliation(s)
- Melodie A McGeoch
- School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia
| | - Guillaume Latombe
- School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia
| | - Nigel R Andrew
- Zoology, University of New England, Armidale, New South Wales, 2351, Australia
| | - Shinichi Nakagawa
- Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, 2010, Australia
| | - David A Nipperess
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, 2109, Australia
| | - Mariona Roigé
- National Centre for Advanced Bio-Protection Technologies, Lincoln University, Canterbury, 7647, New Zealand
| | - Ezequiel M Marzinelli
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia.,School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Alexandra H Campbell
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia
| | - Adriana Vergés
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia
| | - Torsten Thomas
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Peter D Steinberg
- Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.,Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia.,School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Katherine E Selwood
- School of Biosciences, University of Melbourne, Parkville, Victoria, 3010, Australia.,Wildlife and Conservation Science, Zoos Victoria, Parkville, Victoria, 3052, Australia
| | - Marie V Henriksen
- School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia
| | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, 7602, South Africa.,African Institute for Mathematical Sciences, Cape Town, 7945, South Africa
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17
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Latombe G, Canavan S, Hirsch H, Hui C, Kumschick S, Nsikani MM, Potgieter LJ, Robinson TB, Saul W, Turner SC, Wilson JRU, Yannelli FA, Richardson DM. A four‐component classification of uncertainties in biological invasions: implications for management. Ecosphere 2019. [DOI: 10.1002/ecs2.2669] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Affiliation(s)
- G. Latombe
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - S. Canavan
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
- Kirstenbosch Research Centre South African National Biodiversity Institute Private Bag X7 Claremont 7735 South Africa
| | - H. Hirsch
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - C. Hui
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
- Mathematical and Physical Biosciences African Institute for Mathematical Sciences Cape Town 7945 South Africa
| | - S. Kumschick
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
- Kirstenbosch Research Centre South African National Biodiversity Institute Private Bag X7 Claremont 7735 South Africa
| | - M. M. Nsikani
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - L. J. Potgieter
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - T. B. Robinson
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - W.‐C. Saul
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - S. C. Turner
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - J. R. U. Wilson
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
- Kirstenbosch Research Centre South African National Biodiversity Institute Private Bag X7 Claremont 7735 South Africa
| | - F. A. Yannelli
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
| | - D. M. Richardson
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Stellenbosch 7602 South Africa
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18
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Latombe G, Richardson DM, Pyšek P, Kučera T, Hui C. Drivers of species turnover vary with species commonness for native and alien plants with different residence times. Ecology 2018; 99:2763-2775. [DOI: 10.1002/ecy.2528] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 08/06/2018] [Accepted: 08/30/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Guillaume Latombe
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
| | - David M. Richardson
- Department of Botany and Zoology Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
| | - Petr Pyšek
- Department of Invasion Ecology The Czech Academy of Sciences Institute of Botany CZ‐252 43 Průhonice Czech Republic
- Department of Ecology Faculty of Science Charles University Viničná 7 CZ‐128 44 Praha2 Czech Republic
| | - Tomáš Kučera
- Department of Ecosystem Biology Faculty of Science University of South Bohemia Branišovská 1760, CZ‐370 05 České Budějovice Czech Republic
| | - Cang Hui
- Department of Mathematical Sciences Centre for Invasion Biology Stellenbosch University Matieland 7600 South Africa
- Theoretical Ecology Group African Institute for Mathematical Sciences Cape Town 7945 South Africa
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19
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Duffy GA, Coetzee BWT, Latombe G, Akerman AH, McGeoch MA, Chown SL. Barriers to globally invasive species are weakening across the Antarctic. DIVERS DISTRIB 2017. [DOI: 10.1111/ddi.12593] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Grant A. Duffy
- School of Biological Sciences; Monash University; Clayton Vic. Australia
| | | | - Guillaume Latombe
- School of Biological Sciences; Monash University; Clayton Vic. Australia
| | | | - Melodie A. McGeoch
- School of Biological Sciences; Monash University; Clayton Vic. Australia
| | - Steven L. Chown
- School of Biological Sciences; Monash University; Clayton Vic. Australia
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20
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Latombe G, Hui C, McGeoch MA. Multi‐site generalised dissimilarity modelling: using zeta diversity to differentiate drivers of turnover in rare and widespread species. Methods Ecol Evol 2017. [DOI: 10.1111/2041-210x.12756] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Guillaume Latombe
- School of Biological Sciences Monash University Melbourne Vic. 3800 Australia
| | - Cang Hui
- Centre for Invasion Biology Department of Mathematical Sciences Stellenbosch University Matieland 7602 South Africa
- African Institute for Mathematical Sciences Cape Town 7945 South Africa
| | - Melodie A. McGeoch
- School of Biological Sciences Monash University Melbourne Vic. 3800 Australia
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21
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Abstract
Neutral and niche processes are generally considered to interact in natural communities along a continuum, exhibiting community patterns bounded by pure neutral and pure niche processes. The continuum concept uses niche separation, an attribute of the community, to test the hypothesis that communities are bounded by pure niche or pure neutral conditions. It does not accommodate interactions via feedback between processes and the environment. By contrast, we introduce the Community Assembly Phase Space (CAPS), a multi-dimensional space that uses community processes (such as dispersal and niche selection) to define the limiting neutral and niche conditions and to test the continuum hypothesis. We compare the outputs of modelled communities in a heterogeneous landscape, assembled by pure neutral, pure niche and composite processes. Differences in patterns under different combinations of processes in CAPS reveal hidden complexity in neutral-niche community dynamics. The neutral-niche continuum only holds for strong dispersal limitation and niche separation. For weaker dispersal limitation and niche separation, neutral and niche processes amplify each other via feedback with the environment. This generates patterns that lie well beyond those predicted by a continuum. Inferences drawn from patterns about community assembly processes can therefore be misguided when based on the continuum perspective. CAPS also demonstrates the complementary information value of different patterns for inferring community processes and captures the complexity of community assembly. It provides a general tool for studying the processes structuring communities and can be applied to address a range of questions in community and metacommunity ecology.
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Affiliation(s)
- Guillaume Latombe
- School of Biological Sciences, Monash University, Melbourne 3800, Australia
| | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland 7602, South Africa African Institute for Mathematical Sciences, Cape Town 7945, South Africa
| | - Melodie A McGeoch
- School of Biological Sciences, Monash University, Melbourne 3800, Australia
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22
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Latombe G, Parrott L, Basille M, Fortin D. Uniting statistical and individual-based approaches for animal movement modelling. PLoS One 2014; 9:e99938. [PMID: 24979047 PMCID: PMC4076191 DOI: 10.1371/journal.pone.0099938] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Accepted: 05/20/2014] [Indexed: 12/02/2022] Open
Abstract
The dynamic nature of their internal states and the environment directly shape animals' spatial behaviours and give rise to emergent properties at broader scales in natural systems. However, integrating these dynamic features into habitat selection studies remains challenging, due to practically impossible field work to access internal states and the inability of current statistical models to produce dynamic outputs. To address these issues, we developed a robust method, which combines statistical and individual-based modelling. Using a statistical technique for forward modelling of the IBM has the advantage of being faster for parameterization than a pure inverse modelling technique and allows for robust selection of parameters. Using GPS locations from caribou monitored in Québec, caribou movements were modelled based on generative mechanisms accounting for dynamic variables at a low level of emergence. These variables were accessed by replicating real individuals' movements in parallel sub-models, and movement parameters were then empirically parameterized using Step Selection Functions. The final IBM model was validated using both k-fold cross-validation and emergent patterns validation and was tested for two different scenarios, with varying hardwood encroachment. Our results highlighted a functional response in habitat selection, which suggests that our method was able to capture the complexity of the natural system, and adequately provided projections on future possible states of the system in response to different management plans. This is especially relevant for testing the long-term impact of scenarios corresponding to environmental configurations that have yet to be observed in real systems.
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Affiliation(s)
- Guillaume Latombe
- School of Biological Sciences, Monash University, Clayton, Victoria, Australia; Département de Géographie, Université de Montréal, Montréal, Québec, Canada
| | - Lael Parrott
- Earth and Environmental Sciences and Biology Units, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Mathieu Basille
- Chaire de recherche industrielle CRSNG-Université Laval en sylviculture et faune, Département de biologie, Université Laval, Québec, Québec, Canada; Fort Lauderdale Research and Education Center, University of Florida, Fort Lauderdale, Florida, United States of America
| | - Daniel Fortin
- Chaire de recherche industrielle CRSNG-Université Laval en sylviculture et faune, Département de biologie, Université Laval, Québec, Québec, Canada
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Latombe G, Fortin D, Parrott L. Spatio-temporal dynamics in the response of woodland caribou and moose to the passage of grey wolf. J Anim Ecol 2013; 83:185-98. [DOI: 10.1111/1365-2656.12108] [Citation(s) in RCA: 92] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2012] [Accepted: 06/03/2013] [Indexed: 11/27/2022]
Affiliation(s)
- Guillaume Latombe
- Geography Department; Complex Systems Laboratory; University of Montreal; C.P. 6128 Succursale Centre-ville Montréal Montréal QC H3C 3J7 Canada
| | - Daniel Fortin
- Biology Department; Sylviculture and Wildlife Research Chair CRSNG-Laval University; Laval University; 1045 Av. de la Médecine Pavillon Alexandre-Vachon Québec QC G1V 0A6 Canada
| | - Lael Parrott
- Geography Department; Complex Systems Laboratory; University of Montreal; C.P. 6128 Succursale Centre-ville Montréal Montréal QC H3C 3J7 Canada
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