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Henriksen MV, Arlé E, Pili A, Clarke DA, García-Berthou E, Groom Q, Lenzner B, Meyer C, Seebens H, Tingley R, Winter M, McGeoch MA. Global indicators of the environmental impacts of invasive alien species and their information adequacy. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230323. [PMID: 38583467 PMCID: PMC10999262 DOI: 10.1098/rstb.2023.0323] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/18/2023] [Indexed: 04/09/2024] Open
Abstract
Monitoring the extent to which invasive alien species (IAS) negatively impact the environment is crucial for understanding and mitigating biological invasions. Indeed, such information is vital for achieving Target 6 of the Kunming-Montreal Global Biodiversity Framework. However, to-date indicators for tracking the environmental impacts of IAS have been either lacking or insufficient. Capitalizing on advances in data availability and impact assessment protocols, we developed environmental impact indicators to track realized and potential impacts of IAS. We also developed an information status indicator to assess the adequacy of the data underlying the impact indicators. We used data on 75 naturalized amphibians from 82 countries to demonstrate the indicators at a global scale. The information status indicator shows variation in the reliability of the data and highlights areas where absence of impact should be interpreted with caution. Impact indicators show that growth in potential impacts are dominated by predatory species, while potential impacts from both predation and disease transmission are distributed worldwide. Using open access data, the indicators are reproducible and adaptable across scales and taxa and can be used to assess global trends and distributions of IAS, assisting authorities in prioritizing control efforts and identifying areas at risk of future invasions. This article is part of the theme issue 'Ecological novelty and planetary stewardship: biodiversity dynamics in a transforming biosphere'.
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Affiliation(s)
- Marie V. Henriksen
- Department of Landscape and Biodiversity, Norwegian Institute of Bioeconomy Research, Trondheim 7031, Norway
| | - Eduardo Arlé
- Macroecology & Society, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
- School of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997712, Israel
| | - Arman Pili
- School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
| | - David A. Clarke
- Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
| | | | | | - Bernd Lenzner
- Division of BioInvasions, Global Change & Macroecology, Department of Botany and Biodiversity Research, University of Vienna, Rennweg 14, 1030 Vienna, Austria
| | - Carsten Meyer
- Macroecology & Society, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
- Institute of Geosciences and Geography, Martin Luther University Halle-Wittenberg, 06099 Halle, Germany
- Institute of Biology, Leipzig University, 04103 Leipzig, Germany
| | - Hanno Seebens
- Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, Frankfurt 6325, Germany
| | - Reid Tingley
- School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
- EnviroDNA Pty Ltd, 95 Albert Street, Brunswick, Victoria 3056, Australia
| | - Marten Winter
- sDiv, Synthesis Centre, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Melodie A. McGeoch
- Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Clayton 3800, Victoria, Australia
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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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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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Henriksen MV, Chapple DG, Chown SL, McGeoch MA. The effect of network size and sampling completeness in depauperate networks. J Anim Ecol 2018; 88:211-222. [PMID: 30291749 DOI: 10.1111/1365-2656.12912] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 08/07/2018] [Accepted: 10/01/2018] [Indexed: 11/28/2022]
Abstract
The accurate estimation of interaction network structure is essential for understanding network stability and function. A growing number of studies evaluate under-sampling as the degree of sampling completeness (proportional richness observed). How the relationship between network structural metrics and sampling completeness varies across networks of different sizes remains unclear, but this relationship has implications for the within- and between-system comparability of network structure. Here, we test the combined effects of network size and sampling completeness on the structure of spatially distinct networks (i.e., subwebs) in a host-parasitoid model system to better understand the within-system variability in metric bias. Richness estimates were used to quantify a gradient of sampling completeness of species and interactions across randomly subsampled subwebs. The combined impacts of network size and sampling completeness on the estimated values of twelve unweighted and weighted network metrics were tested. The robustness of network metrics to under-sampling was strongly related to network size, and sampling completeness of interactions were generally a better predictor of metric bias than sampling completeness of species. Weighted metrics often performed better than unweighted metrics at low sampling completeness; however, this was mainly evident at large rather than small subweb size. These outcomes highlight the significance of under-sampling for the comparability of both unweighted and weighted network metrics when networks are small and vary in size. This has implications for within-system comparability of species-poor networks and, more generally, reveals problems with under-sampling ecological networks that may otherwise be difficult to detect in species-rich networks. To mitigate the impacts of under-sampling, more careful considerations of system-specific variation in metric bias are needed.
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Affiliation(s)
- Marie V Henriksen
- School of Biological Sciences, Monash University, Clayton, Vic., Australia
| | - 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
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Dupont YL, Trøjelsgaard K, Hagen M, Henriksen MV, Olesen JM, Pedersen NME, Kissling WD. Spatial structure of an individual-based plant-pollinator network. OIKOS 2014. [DOI: 10.1111/oik.01426] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yoko L. Dupont
- Plant and Insect Ecology, Dept of Bioscience; Aarhus Univ.; Vejlsøvej 25 DK-8600 Silkeborg Denmark
| | - Kristian Trøjelsgaard
- Genetics, Ecology and Evolution, Dept of Bioscience; Aarhus Univ.; Ny Munkegade 114 DK-8000 Aarhus C Denmark
| | - Melanie Hagen
- Genetics, Ecology and Evolution, Dept of Bioscience; Aarhus Univ.; Ny Munkegade 114 DK-8000 Aarhus C Denmark
| | - Marie V. Henriksen
- School of Biological Sciences, Monash Univ.; Bld 18 Victoria 3800 Australia
| | - Jens M. Olesen
- Genetics, Ecology and Evolution, Dept of Bioscience; Aarhus Univ.; Ny Munkegade 114 DK-8000 Aarhus C Denmark
| | - Nanna M. E. Pedersen
- Genetics, Ecology and Evolution, Dept of Bioscience; Aarhus Univ.; Ny Munkegade 114 DK-8000 Aarhus C Denmark
| | - W. Daniel Kissling
- Inst. for Biodiversity and Ecosystem Dynamics (IBED), Univ. of Amsterdam; PO Box 94248 NL-1090 GE Amsterdam the Netherlands
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