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Pili A, Schumaker N, Camacho‐Cervantes M, Tingley R, Chapple D. Landscape Heterogeneity and Environmental Dynamics Improve Predictions of Establishment Success of Colonising Small Founding Populations. Evol Appl 2024; 17:e70027. [PMID: 39439435 PMCID: PMC11493551 DOI: 10.1111/eva.70027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Revised: 09/16/2024] [Accepted: 09/24/2024] [Indexed: 10/25/2024] Open
Abstract
In long-distance dispersal events, colonising species typically begin with a small number of founding individuals. A growing body of research suggests that establishment success of small founding populations can be determined by the context of the colonisation event and the new environment. Here, we illuminate the importance of these sources of context dependence. Using a spatially explicit, temporally dynamic, mechanistic, individual-based simulator of a model amphibian species, the cane toad (Rhinella marina), we simulated colonisation scenarios to investigate how (1) the number of founding individuals, (2) the number of dispersal events, (3) landscape's spatial composition and configuration of habitats ('spatially heterogeneous landscapes') and (4) the timing of arrival with regards to dynamic environmental conditions ('dynamic environmental conditions') influence the establishment success of small founding populations. We analysed the dynamic effects of these predictors on establishment success using running-window logistic regression models. We showed establishment success increases with the number of founding individuals, whereas the number of dispersal events had a weak effect. At ≥ 20 founding individuals, propagule size swamps the effects of other factors, to whereby establishment success is near-certain (≥ 90%). But below this level, confidence in establishment success dramatically decreases as number of founding individuals decreases. At low numbers of founding individuals, the prominent predictors are landscape spatial heterogeneity and dynamic environmental conditions. For instance, compared to the annual mean, founding populations with ≤ 5 individuals have up to 18% higher establishment success when they arrive in 'packed' landscapes with relatively limited and clustered essential habitats and right before the breeding season. Accounting for landscape spatial heterogeneity and dynamic environmental conditions is integral in understanding and predicting population establishment and species colonisation. This additional complexity is necessary for advancing biogeographical theory and its application, such as in guiding species reintroduction efforts and invasive alien species management.
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Affiliation(s)
- Arman N. Pili
- School of Biological Sciences, Faculty of ScienceMonash UniversityClayton3800VictoriaAustralia
- Macroecology, Institute of Biochemistry and BiologyUniversity of PotsdamPotsdam14469BrandenburgGermany
| | - Nathan H. Schumaker
- US Environmental Protection AgencyPacific Ecological Systems DivisionCorvallisOregonUSA
| | | | - Reid Tingley
- School of Biological Sciences, Faculty of ScienceMonash UniversityClayton3800VictoriaAustralia
| | - David G. Chapple
- School of Biological Sciences, Faculty of ScienceMonash UniversityClayton3800VictoriaAustralia
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2
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Brancatelli GIE, Amodeo MR, Zalba SM. Modeling population dynamics of invasive pines to optimize their control in native grasslands of Argentina. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 359:120897. [PMID: 38669881 DOI: 10.1016/j.jenvman.2024.120897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/16/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024]
Abstract
The spread of invasive alien species over natural environments has become one of the most serious threats to biodiversity and the functioning of ecosystems worldwide. Understanding the population attributes that allow a given species to become invasive is crucial for improving prevention and control interventions. Pampas grasslands are particularly sensitive to the invasion of exotic woody plants. In particular, the Ventania Mountains undergo the advance of alien woody plants; among which the Aleppo pine (Pinus halepensis) stands out due to the extension of the area it covers and the magnitude of the ecological changes associated to its presence. Using a model that describes the population dynamics of the species in the area, we evaluated the expected behavior of the population under different environmental conditions and different management scenarios. When the effect of stochastic fires was simulated, the growth rate was greater than 1 for all the frequencies considered, peaking under fires every nine years, on average. When evaluating the effect of periodic mechanical control of the adult population, the reduction in growth rate was insufficient, except for cutting intensities that significantly exceeded the current operational capacity of the area. Under prescribed fire scenarios, on the other hand, burning frequencies greater than seven years resulted in population reductions. The results highlight the importance of fire in regulating the population of P. halepensis in the Ventania Mountains, with contrasting effects depending on the frequency with which it occurs, which allows considering it as an effective environmental management option for the control of the species.
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Affiliation(s)
- Gabriela I E Brancatelli
- GEKKO, Grupo de Estudios en Conservación y Manejo, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000, Bahía Blanca, Argentina.
| | - Martín R Amodeo
- GEKKO, Grupo de Estudios en Conservación y Manejo, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000, Bahía Blanca, Argentina; CONICET Bahía Blanca, Instituto Argentino de Oceanografía, 8000, Bahía Blanca, Argentina
| | - Sergio M Zalba
- GEKKO, Grupo de Estudios en Conservación y Manejo, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000, Bahía Blanca, Argentina
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3
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Mlambo S, Mubayiwa M, Tarusikirwa VL, Machekano H, Mvumi BM, Nyamukondiwa C. The Fall Armyworm and Larger Grain Borer Pest Invasions in Africa: Drivers, Impacts and Implications for Food Systems. BIOLOGY 2024; 13:160. [PMID: 38534430 DOI: 10.3390/biology13030160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 03/28/2024]
Abstract
Invasive alien species (IAS) are a major biosecurity threat affecting globalisation and the international trade of agricultural products and natural ecosystems. In recent decades, for example, field crop and postharvest grain insect pests have independently accounted for a significant decline in food quantity and quality. Nevertheless, how their interaction and cumulative effects along the ever-evolving field production to postharvest continuum contribute towards food insecurity remain scant in the literature. To address this within the context of Africa, we focus on the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), and the larger grain borer, Prostephanus truncatus (Horn) (Coleoptera: Bostrichidae), two of the most important field and postharvest IAS, respectively, that have invaded Africa. Both insect pests have shown high invasion success, managing to establish themselves in >50% of the African continent within a decade post-introduction. The successive and summative nature of field and postharvest damage by invasive insect pests on the same crop along its value chain results in exacerbated food losses. This systematic review assesses the drivers, impacts and management of the fall armyworm and larger grain borer and their effects on food systems in Africa. Interrogating these issues is important in early warning systems, holistic management of IAS, maintenance of integral food systems in Africa and the development of effective management strategies.
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Affiliation(s)
- Shaw Mlambo
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Palapye 10071, Botswana
| | - Macdonald Mubayiwa
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Palapye 10071, Botswana
| | - Vimbai L Tarusikirwa
- Department of Biology, The University of Western Ontario, London, ON N6A 5B7, Canada
| | - Honest Machekano
- Department of Zoology and Entomology, University of Pretoria, Private Bag X20, Pretoria 0028, South Africa
| | - Brighton M Mvumi
- Department of Agricultural and Biosystems Engineering, University of Zimbabwe, Mount Pleasant, Harare P.O. Box MP167, Zimbabwe
| | - Casper Nyamukondiwa
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Palapye 10071, Botswana
- Department of Zoology and Entomology, Rhodes University, Makhanda 6140, South Africa
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4
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Combs MA, Golnar AJ, Overcash JM, Lloyd AL, Hayes KR, O'Brochta DA, Pepin KM. Leveraging eco-evolutionary models for gene drive risk assessment. Trends Genet 2023:S0168-9525(23)00090-2. [PMID: 37198063 DOI: 10.1016/j.tig.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 05/19/2023]
Abstract
Engineered gene drives create potential for both widespread benefits and irreversible harms to ecosystems. CRISPR-based systems of allelic conversion have rapidly accelerated gene drive research across diverse taxa, putting field trials and their necessary risk assessments on the horizon. Dynamic process-based models provide flexible quantitative platforms to predict gene drive outcomes in the context of system-specific ecological and evolutionary features. Here, we synthesize gene drive dynamic modeling studies to highlight research trends, knowledge gaps, and emergent principles, organized around their genetic, demographic, spatial, environmental, and implementation features. We identify the phenomena that most significantly influence model predictions, discuss limitations of biological complexity and uncertainty, and provide insights to promote responsible development and model-assisted risk assessment of gene drives.
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Affiliation(s)
- Matthew A Combs
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, 80521, USA.
| | - Andrew J Golnar
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, 80521, USA
| | - Justin M Overcash
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Biotechnology Regulatory Services, 20737, USA
| | - Alun L Lloyd
- North Carolina State University, Biomathematics Graduate Program and Department of Mathematics, Raleigh, NC, 27695, USA
| | - Keith R Hayes
- The Commonwealth Scientific and Industrial Research Organisation, Data 61, Hobart, TAS, 7004, Australia
| | - David A O'Brochta
- Foundation for the National Institutes of Health, North Bethesda, MD, 20852, USA
| | - Kim M Pepin
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, 80521, USA
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Koehn JD, Stuart IG, Todd CR. Integrating conventional risk management and population models to assess risks from an established invasive freshwater fish. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 324:116343. [PMID: 36352710 DOI: 10.1016/j.jenvman.2022.116343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 09/15/2022] [Accepted: 09/18/2022] [Indexed: 06/16/2023]
Affiliation(s)
- John D Koehn
- Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, Victoria, 3084, Australia; Gulbali Institute, Charles Sturt University, PO Box 789, Albury, New South Wales, 2640, Australia.
| | - Ivor G Stuart
- Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, Victoria, 3084, Australia; Gulbali Institute, Charles Sturt University, PO Box 789, Albury, New South Wales, 2640, Australia
| | - Charles R Todd
- Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, Victoria, 3084, Australia
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De la Cruz A, Bastos R, Silva E, Cabral JA, Santos M. What to expect from alternative management strategies to conserve seabirds? Hints from a dynamic modelling framework applied to an endangered population. Anim Conserv 2021. [DOI: 10.1111/acv.12751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- A. De la Cruz
- Marine Research University Institute (INMAR) Campus of International Excellence of the Sea (CEIMAR) University of Cádiz Cádiz Spain
| | - R. Bastos
- Laboratory of Applied Ecology CITAB – Centre for the Research and Technology of Agro‐Environment and Biological Services Institute for Innovation Capacity Building and Sustainability of Agri‐food Production (Inov4Agro) University of Trás‐os‐Montes e Alto Douro Vila Real Portugal
| | - E. Silva
- Portuguese Society for the Study of Birds (SPEA) Lisboa Portugal
| | - J. A. Cabral
- Laboratory of Applied Ecology CITAB – Centre for the Research and Technology of Agro‐Environment and Biological Services Institute for Innovation Capacity Building and Sustainability of Agri‐food Production (Inov4Agro) University of Trás‐os‐Montes e Alto Douro Vila Real Portugal
| | - M. Santos
- Laboratory of Applied Ecology CITAB – Centre for the Research and Technology of Agro‐Environment and Biological Services Institute for Innovation Capacity Building and Sustainability of Agri‐food Production (Inov4Agro) University of Trás‐os‐Montes e Alto Douro Vila Real Portugal
- Laboratory of Ecology and Conservation Federal Institute of Education Science and Technology of Maranhão, R. Dep. Gastão Vieira Buriticupu MA Brazil
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Wan J, Wang C, Zimmermann NE, Li M, Pouteau R, Yu F. Current and future plant invasions in protected areas: Does clonality matter? DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13425] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Affiliation(s)
- Ji‐Zhong Wan
- Institute of Wetland Ecology & Clone Ecology Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation Taizhou University Taizhou China
- State Key Laboratory of Plateau Ecology and Agriculture Qinghai University Xining China
- Department of Ecology Pontifical University Catholic of Chile Santiago Chile
- Instituto de Ecología y Biodiversidad (IEB) Santiago Chile
| | - Chun‐Jing Wang
- Institute of Wetland Ecology & Clone Ecology Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation Taizhou University Taizhou China
- State Key Laboratory of Plateau Ecology and Agriculture Qinghai University Xining China
| | - Niklaus E. Zimmermann
- Swiss Federal Research Institute WSL Birmensdorf Switzerland
- Department of Environmental Systems Science Swiss Federal Institute of Technology ETH Zurich Switzerland
| | - Mai‐He Li
- Swiss Federal Research Institute WSL Birmensdorf Switzerland
| | - Robin Pouteau
- Institute of Wetland Ecology & Clone Ecology Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation Taizhou University Taizhou China
| | - Fei‐Hai Yu
- Institute of Wetland Ecology & Clone Ecology Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation Taizhou University Taizhou China
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VilÀ M, Dunn AM, Essl F, GÓmez-DÍaz E, Hulme PE, Jeschke JM, NÚÑez MA, Ostfeld RS, Pauchard A, Ricciardi A, Gallardo B. Viewing Emerging Human Infectious Epidemics through the Lens of Invasion Biology. Bioscience 2021. [DOI: 10.1093/biosci/biab047] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Invasion biology examines species originated elsewhere and moved with the help of humans, and those species’ impacts on biodiversity, ecosystem services, and human well-being. In a globalized world, the emergence and spread of many human infectious pathogens are quintessential biological invasion events. Some macroscopic invasive species themselves contribute to the emergence and transmission of human infectious agents. We review conceptual parallels and differences between human epidemics and biological invasions by animals and plants. Fundamental concepts in invasion biology regarding the interplay of propagule pressure, species traits, biotic interactions, eco-evolutionary experience, and ecosystem disturbances can help to explain transitions between stages of epidemic spread. As a result, many forecasting and management tools used to address epidemics could be applied to biological invasions and vice versa. Therefore, we advocate for increasing cross-fertilization between the two disciplines to improve prediction, prevention, treatment, and mitigation of invasive species and infectious disease outbreaks, including pandemics.
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Affiliation(s)
- Montserrat VilÀ
- Department of Plant Biology and Ecology, University of Sevilla, Sevilla, Spain
| | | | - Franz Essl
- Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Elena GÓmez-DÍaz
- Institute of Parasitology and Biomedicine Lopez-Neyra, Granada, Spain
| | - Philip E Hulme
- Bio-Protection Research Centre, Lincoln University, Canterbury, New Zealand
| | - Jonathan M Jeschke
- Leibniz Institute of Freshwater Ecology and Inland Fisheries, with the Institute of Biology, Freie Universität Berlin, and with the Berlin-Brandenburg Institute of Advanced Biodiversity Research, Berlin, Germany
| | - MartÍn A NÚÑez
- Department of Biology and Biochemistry, University of Houston, Houston, Texas, United States
| | - Richard S Ostfeld
- Cary Institute of Ecosystem Studies, Millbrook, New York, United States
| | - AnÍbal Pauchard
- Laboratorio de Invasiones Biológicas, Facultad de Ciencias Forestales, Universidad de Concepción, Concepción, Chile, and with the Institute of Ecology and Biodiversity, Santiago, Chile
| | | | - Belinda Gallardo
- Pyrenean Institute of Ecology, Zaragoza, Spain, and with the BioRISC (Biosecurity Research Initiative at St Catharine's), at St Catharine's College, Cambridge, United Kingdom
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Morais MC, Gonçalves B, Cabral JA. A Dynamic Modeling Framework to Evaluate the Efficacy of Control Actions for a Woody Invasive Plant, Hakea sericea. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.641686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Invasive alien species (IAS) are a significant component of global changes, causing severe economic and biodiversity damage. In this regard, Hakea sericea is one of the most widespread IAS throughout the Mediterranean region, including Portugal. The difficulty surrounding its management is exacerbated by post-fire situations, signifying a challenging task for managers. To assist in this effort, we used a system dynamic approach to model the population dynamics of Hakea sericea regarding the combinations of wildfire risk and control scenarios, which differ in periodicity, type of interventions, and cohort age. The ultimate goal of this study was to assess the effectiveness and costs of control efforts at reducing the abundance of this IAS. A Natura 2000 site Alvão/Marão (code PTCON0003) in northern Portugal, severely invaded by Hakea sericea, served as the study site. The modeling results demonstrate that Hakea sericea is likely to continue spreading if left uncontrolled. Although it may not be possible to ensure eradication of Hakea sericea from the study, repeated control actions aimed at the entire IAS population could be very effective in reducing its area. From a practical standpoint, removing all plants 24 months after each fire event followed by subsequent monitoring appears to be the most cost-effective strategy for managing Hakea sericea. Considering the modeling results, the dynamic modeling framework developed is a versatile, instructive tool that can support decision-making aimed at effective management of Hakea sericea.
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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: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
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11
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Portela R, Vicente JR, Roiloa SR, Cabral JA. A dynamic model-based framework to test the effectiveness of biocontrol targeting a new plant invader- the case of Alternanthera philoxeroides in the Iberian Peninsula. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 264:110349. [PMID: 32364957 DOI: 10.1016/j.jenvman.2020.110349] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 02/23/2020] [Accepted: 02/24/2020] [Indexed: 06/11/2023]
Abstract
Biological invasions are one of the major threats to biodiversity at the global scale, causing numerous environmental impacts and having high direct and indirect costs associated with their management, control and eradication. In this work, we present a system-dynamic modelling approach for the biocontrol of the invasive plant species Alternanthera philoxeroides using its natural predator, Agasicles hygrophila, as a biocontrol agent. We have simulated different scenarios in the Finisterre region (Spain), where a single population of the invasive plant has been recently described. To assess the effectiveness of A. hygrophila as a biocontrol agent in the region, a population dynamic model was developed in order to include the life-cycle of both species, as well as the interaction among them. The results of the simulations indicate that the control of this new invasive plant is possible, as long as several releases of the biocontrol agent are made over time. The proposed model can support the control or even the eradication of the population of A. philoxeroides with a minimal impact on the environment. Additionally, the proposed framework also represents a versatile dynamic tool, adjustable to different local management specificities (objectives and parameters) and capable of responding under different contexts. Hence, this approach can be used to guide eradication efforts of new invasive species, to improve the applicability of early management measures as biocontrol, and to support decision-making by testing several alternative management scenarios.
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Affiliation(s)
- Rubén Portela
- BioCost Group, Department of Biology, Faculty of Science, Universidade da Coruña, A Coruña, Spain.
| | - Joana R Vicente
- InBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva/CIBIO - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, 4485-601, Vairão, Portugal; Laboratory of Applied Ecology, Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal.
| | - Sergio R Roiloa
- BioCost Group, Department of Biology, Faculty of Science, Universidade da Coruña, A Coruña, Spain.
| | - João A Cabral
- Laboratory of Applied Ecology, Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal.
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Lavallée F, Smadi C, Alvarez I, Reineking B, Martin FM, Dommanget F, Martin S. A stochastic individual-based model for the growth of a stand of Japanese knotweed including mowing as a management technique. Ecol Modell 2019. [DOI: 10.1016/j.ecolmodel.2019.108828] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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13
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Advances and challenges in modelling the impacts of invasive alien species on aquatic ecosystems. Biol Invasions 2019. [DOI: 10.1007/s10530-019-02160-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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14
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Basso R, Vannuccini ML, Nerva L, Mazza G, Seno M, Mori E. Multiple origins of the common chameleon in southern Italy. HERPETOZOA 2019. [DOI: 10.3897/herpetozoa.32.e35611] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The common chameleonChamaeleochamaeleonis a Mediterranean lizard which has been introduced in many islands and its native origin in European countries is debated. Chameleons have been introduced in southern Italy, possibly from the Middle East and Tunisia. We conducted genetic analyses on mitochondrial DNA 16S gene on a larger sample. We observed a multiple origin for the Salento (Apulia, southern Italy) population, with individuals phylogenetically related to populations of North Africa and two areas in the Middle East. Some individuals may have been released before the 1950s and some others in the 1980s, improving the establishment success of this species.
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15
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Can citizen science data guide the surveillance of invasive plants? A model-based test with Acacia trees in Portugal. Biol Invasions 2019. [DOI: 10.1007/s10530-019-01962-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Vaz AS, Alcaraz-Segura D, Campos JC, Vicente JR, Honrado JP. Managing plant invasions through the lens of remote sensing: A review of progress and the way forward. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 642:1328-1339. [PMID: 30045513 DOI: 10.1016/j.scitotenv.2018.06.134] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 06/10/2018] [Accepted: 06/11/2018] [Indexed: 06/08/2023]
Abstract
Biological invasions are a challenging driver of global environmental change and a fingerprint of the Anthropocene. Remote sensing has gradually become a fundamental tool for understanding invasion patterns, processes and impacts. Nevertheless, a quantitative overview of the progress and extent of remote sensing applications to the management of plant invasions is lacking. This overview is particularly necessary to support the development of more operational frameworks based on remote sensing that can effectively improve the management of invasions. Here, we evaluate and discuss the progress, current state and future opportunities of remote sensing for the research and management of plant invasions. Supported on a systematic literature review, our study shows that, since the 1970s, remote sensing was mainly used to map and identify invasive plants, evolving, around the mid-2000s, towards a tool for assessing invasion impacts. Although remote sensing studies often focus on detecting plant invaders at advanced invasion stages, they can also contribute to the prediction of early invasion stages and to the assessment of their impacts. Despite the growing awareness of technical limitations, remote sensing offers many opportunities to further improve the management of plant invasions. These opportunities relate to the capacity of remote sensing to: (a) detect and evaluate the extent of invasions, assisting on any management option aiming at mitigating plant invasions and their impacts; (b) consider modelling frameworks that anticipate future invasions, supporting the prevention and eradication at early invasion stages and protecting ecosystems and the services they provide; and (c) monitor changes in invasion dominance, as well as the resulting impacts, supporting mitigation, restoration and adaptation actions. Finally, we discuss the way forward to make remote sensing more effective in the scope of invasion management, considering current and future Earth observation missions.
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Affiliation(s)
- Ana Sofia Vaz
- Research Network in Biodiversity and Evolutionary Biology, Research Centre in Biodiversity and Genetic Resources (InBIO-CIBIO), Campus Agrário de Vairão, Rua Padre Armando Quintas, PT4485-661 Vairão, Portugal; Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, s/n, PT4169-007 Porto, Portugal.
| | - Domingo Alcaraz-Segura
- Departamento de Botánica, Facultad de Ciencias, Av. Fuentenueva, Universidad de Granada, 18071 Granada, Spain; iecolab. Interuniversitary Institute for Earth System Research (IISTA), Universidad de Granada, Av. del Mediterráneo, 18006 Granada, Spain; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Universidad de Almería, Crta. San Urbano, 04120 Almería, Spain.
| | - João C Campos
- Research Network in Biodiversity and Evolutionary Biology, Research Centre in Biodiversity and Genetic Resources (InBIO-CIBIO), Campus Agrário de Vairão, Rua Padre Armando Quintas, PT4485-661 Vairão, Portugal.
| | - Joana R Vicente
- Research Network in Biodiversity and Evolutionary Biology, Research Centre in Biodiversity and Genetic Resources (InBIO-CIBIO), Campus Agrário de Vairão, Rua Padre Armando Quintas, PT4485-661 Vairão, Portugal; Laboratory of Applied Ecology, CITAB - Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
| | - João P Honrado
- Research Network in Biodiversity and Evolutionary Biology, Research Centre in Biodiversity and Genetic Resources (InBIO-CIBIO), Campus Agrário de Vairão, Rua Padre Armando Quintas, PT4485-661 Vairão, Portugal; Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, s/n, PT4169-007 Porto, Portugal.
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Mori E, Menchetti M, Zozzoli R, Milanesi P. The importance of taxonomy in species distribution models at a global scale: the case of an overlooked alien squirrel facing taxonomic revision. J Zool (1987) 2018. [DOI: 10.1111/jzo.12616] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- E. Mori
- Dipartimento di Scienze della Vita Università degli Studi di Siena Siena Italy
- Accademia Nazionale dei Lincei Roma Italy
| | - M. Menchetti
- Dipartimento di Biologia Università degli Studi di Firenze Sesto Fiorentino (Florence) Italy
| | - R. Zozzoli
- Dipartimento di Scienze Chimiche della Vita e della Sostenibilità Ambientale Università degli Studi di Parma Parma Italy
| | - P. Milanesi
- Swiss Ornithological Institute Sempach Switzerland
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18
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Messager ML, Olden JD. Individual-based models forecast the spread and inform the management of an emerging riverine invader. DIVERS DISTRIB 2018. [DOI: 10.1111/ddi.12829] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Affiliation(s)
- Mathis L. Messager
- School of Aquatic and Fishery Sciences; University of Washington; Seattle Washington
| | - Julian D. Olden
- School of Aquatic and Fishery Sciences; University of Washington; Seattle Washington
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