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Zhang J, Wang L, Yang Y, Liu H. Counteractive effects of predator invasion and habitat destruction on predator-prey systems. Ecol Evol 2024; 14:e11646. [PMID: 38975268 PMCID: PMC11224505 DOI: 10.1002/ece3.11646] [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: 01/21/2024] [Revised: 05/28/2024] [Accepted: 06/14/2024] [Indexed: 07/09/2024] Open
Abstract
Alien species invasion and habitat destruction are among the primary threats to native animal communities, particularly for native predator-prey systems. However, when predator invasion and habitat destruction co-occur, it remains unclear whether their respective threats to native systems compensate each other or accumulate, as well as how these effects respond to the different characteristics of predator invasion and habitat destruction. In this study, we developed a spatially explicit simulation model with one prey species and one predator species and exposed it to invasive predators and habitat destruction with different properties. The results revealed the following insights: (1) Habitat destruction can compensate threats to native predator-prey systems from global predator invasion only when native predators possess predation capability similar to those of the invaders. In other scenarios, cumulative effects arise from predator invasion and habitat destruction. (2) Low levels of habitat destruction occurring at a faster rate, in conjunction with a substantial number of global invasive predators being present, can better compensate their respective threats to native predator-prey systems than the other scenarios. These findings provide valuable insights into situations where habitat destruction and alien species invasion coincide. They raise the question of whether we can leverage the interaction between them to reduce threats to biodiversity.
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Affiliation(s)
- Jing Zhang
- College of Mathematics and Computer ScienceZhejiang Agriculture and Forestry UniversityHangzhouChina
| | - Linying Wang
- College of Mathematics and Computer ScienceZhejiang Agriculture and Forestry UniversityHangzhouChina
| | - Yinghui Yang
- School of MathematicsSouthwest Jiaotong UniversityChengduChina
| | - Haoqi Liu
- College of Mathematics and Computer ScienceZhejiang Agriculture and Forestry UniversityHangzhouChina
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2
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Lampert A. Optimizing strategies for slowing the spread of invasive species. PLoS Comput Biol 2024; 20:e1011996. [PMID: 38569003 PMCID: PMC11018280 DOI: 10.1371/journal.pcbi.1011996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 04/15/2024] [Accepted: 03/13/2024] [Indexed: 04/05/2024] Open
Abstract
Invasive species are spreading worldwide, causing damage to ecosystems, biodiversity, agriculture, and human health. A major question is, therefore, how to distribute treatment efforts cost-effectively across space and time to prevent or slow the spread of invasive species. However, finding optimal control strategies for the complex spatial-temporal dynamics of populations is complicated and requires novel methodologies. Here, we develop a novel algorithm that can be applied to various population models. The algorithm finds the optimal spatial distribution of treatment efforts and the optimal propagation speed of the target species. We apply the algorithm to examine how the results depend on the species' demography and response to the treatment method. In particular, we analyze (1) a generic model and (2) a detailed model for the management of the spongy moth in North America to slow its spread via mating disruption. We show that, when utilizing optimization approaches to contain invasive species, significant improvements can be made in terms of cost-efficiency. The methodology developed here offers a much-needed tool for further examination of optimal strategies for additional cases of interest.
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Affiliation(s)
- Adam Lampert
- Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
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3
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Nahrung HF, Liebhold AM, Brockerhoff EG, Rassati D. Forest Insect Biosecurity: Processes, Patterns, Predictions, Pitfalls. ANNUAL REVIEW OF ENTOMOLOGY 2023; 68:211-229. [PMID: 36198403 DOI: 10.1146/annurev-ento-120220-010854] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The economic and environmental threats posed by non-native forest insects are ever increasing with the continuing globalization of trade and travel; thus, the need for mitigation through effective biosecurity is greater than ever. However, despite decades of research and implementation of preborder, border, and postborder preventative measures, insect invasions continue to occur, with no evidence of saturation, and are even predicted to accelerate. In this article, we review biosecurity measures used to mitigate the arrival, establishment, spread, and impacts of non-native forest insects and possible impediments to the successful implementation of these measures. Biosecurity successes are likely under-recognized because they are difficult to detect and quantify, whereas failures are more evident in the continued establishment of additional non-native species. There are limitations in existing biosecurity systems at global and country scales (for example, inspecting all imports is impossible, no phytosanitary measures are perfect, knownunknowns cannot be regulated against, and noncompliance is an ongoing problem). Biosecurity should be a shared responsibility across countries, governments, stakeholders, and individuals.
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Affiliation(s)
- Helen F Nahrung
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia;
| | - Andrew M Liebhold
- US Forest Service Northern Research Station, Morgantown, West Virginia, USA;
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Czech Republic
| | - Eckehard G Brockerhoff
- Forest Health and Biotic Interactions, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;
| | - Davide Rassati
- Department of Agronomy, Food, Natural Resources, Animals and the Environment, University of Padova, Italy;
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4
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The implementation of habitat destruction methods that promote native survival under invasion. Biol Invasions 2022. [DOI: 10.1007/s10530-022-02985-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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5
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Mallela A, Hastings A. Optimal management of stochastic invasion in a metapopulation with Allee effects. J Theor Biol 2022; 549:111221. [PMID: 35843441 DOI: 10.1016/j.jtbi.2022.111221] [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: 01/18/2022] [Revised: 06/28/2022] [Accepted: 07/10/2022] [Indexed: 10/17/2022]
Abstract
Invasive species account for incalculable damages worldwide, in both ecological and bioeconomic terms. The question of how a network of invasive populations can be optimally managed is one that deserves further exploration. A study accounting for partial observability and imperfect detection, in particular, could yield useful insights into species eradication efforts. Here, we generalized a simple model system that we developed in previous work. This model consists of three interacting populations with underlying strong Allee effects and stochastic dynamics, inhabiting distinct locations connected by dispersal, which can generate bistability. To explore the stochastic dynamics, we formulated an individual-based modeling approach. Next, using the theory of continuous-time Markov chains, we approximated the original high-dimensional model by a Markov chain with eight states, with each state corresponding to a combination of population thresholds. We then used the reduced model as the core for a powerful decision-making tool, referred to as a Partially Observable Markov Decision Process (POMDP). Analysis of this POMDP indicates when the system results in optimal management outcomes.
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Affiliation(s)
- Abhishek Mallela
- Department of Mathematics, University of California, Davis, CA 95616, USA.
| | - Alan Hastings
- Department of Environmental Science and Policy, University of California, Davis, CA 95616, USA; Santa Fe Institute, Santa Fe, NM 87501, USA
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6
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Greim A, Kiage L. Abundance and distribution of invasive woody shrub, Mahonia bealei, in the urban forest fragments of the southern Piedmont, USA. Urban Ecosyst 2021. [DOI: 10.1007/s11252-020-01090-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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7
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Welsh MJ, Turner JA, Epanchin‐Niell RS, Monge JJ, Soliman T, Robinson AP, Kean JM, Phillips C, Stringer LD, Vereijssen J, Liebhold AM, Kompas T, Ormsby M, Brockerhoff EG. Approaches for estimating benefits and costs of interventions in plant biosecurity across invasion phases. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2021; 31:e02319. [PMID: 33665918 PMCID: PMC8365635 DOI: 10.1002/eap.2319] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 10/14/2020] [Accepted: 12/06/2020] [Indexed: 06/12/2023]
Abstract
Nonnative plant pests cause billions of dollars in damages. It is critical to prevent or reduce these losses by intervening at various stages of the invasion process, including pathway risk management (to prevent pest arrival), surveillance and eradication (to counter establishment), and management of established pests (to limit damages). Quantifying benefits and costs of these interventions is important to justify and prioritize investments and to inform biosecurity policy. However, approaches for these estimations differ in (1) the assumed relationship between supply, demand, and prices, and (2) the ability to assess different types of direct and indirect costs at invasion stages, for a given arrival or establishment probability. Here we review economic approaches available to estimate benefits and costs of biosecurity interventions to inform the appropriate selection of approaches. In doing so, we complement previous studies and reviews on estimates of damages from invasive species by considering the influence of economic and methodological assumptions. Cost accounting is suitable for rapid decisions, specific impacts, and simple methodological assumptions but fails to account for feedbacks, such as market adjustments, and may overestimate long-term economic impacts. Partial equilibrium models consider changes in consumer and producer surplus due to pest impacts or interventions and can account for feedbacks in affected sectors but require specialized economic models, comprehensive data sets, and estimates of commodity supply and demand curves. More intensive computable general equilibrium models can account for feedbacks across entire economies, including capital and labor, and linkages among these. The two major considerations in choosing an approach are (1) the goals of the analysis (e.g., consideration of a single pest or intervention with a limited range of impacts vs. multiple interventions, pests or sectors), and (2) the resources available for analysis such as knowledge, budget and time.
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Affiliation(s)
- Melissa J. Welsh
- Scion (NZ Forest Research Institute)P.O. Box 29237Christchurch8540New Zealand
- Better Border BiosecurityPrivate Bag 4704Christchurch8140New Zealand
| | | | | | - Juan J. Monge
- Market Economics Ltd. Digital Basecamp1132 Hinemoa StreetRotorua3010New Zealand
| | - Tarek Soliman
- Manaaki Whenua – Landcare ResearchPrivate Bag 92170Auckland1142New Zealand
| | - Andrew P. Robinson
- Centre of Excellence for Biosecurity Risk AnalysisSchool of BioSciencesUniversity of MelbourneMelbourneVictoria3010Australia
| | - John M. Kean
- Better Border BiosecurityPrivate Bag 4704Christchurch8140New Zealand
- AgResearch, Ruakura10 Bisley RoadHamiltonNew Zealand
| | - Craig Phillips
- Better Border BiosecurityPrivate Bag 4704Christchurch8140New Zealand
- AgResearchPrivate Bag 4749Christchurch8140New Zealand
| | - Lloyd D. Stringer
- Better Border BiosecurityPrivate Bag 4704Christchurch8140New Zealand
- NZ Institute for Plant and Food ResearchPrivate Bag 4704Christchurch8140New Zealand
| | - Jessica Vereijssen
- Better Border BiosecurityPrivate Bag 4704Christchurch8140New Zealand
- NZ Institute for Plant and Food ResearchPrivate Bag 4704Christchurch8140New Zealand
| | - Andrew M. Liebhold
- USDA Forest Service Northern Research StationMorgantownWest Virginia26505USA
- Faculty of Forestry and Wood SciencesCzech University of Life SciencesPraha 6 – SuchdolCZ 165 21Czech Republic
| | - Tom Kompas
- Centre of Excellence for Biosecurity Risk AnalysisSchool of BioSciencesUniversity of MelbourneMelbourneVictoria3010Australia
- School of Ecosystem and Forest SciencesUniversity of MelbourneMelbourneVictoria3010Australia
| | - Michael Ormsby
- Ministry for Primary Industries147 Lambton QuayWellington6011New Zealand
| | - Eckehard G. Brockerhoff
- Scion (NZ Forest Research Institute)P.O. Box 29237Christchurch8540New Zealand
- Better Border BiosecurityPrivate Bag 4704Christchurch8140New Zealand
- Swiss Federal Research Institute WSLZürcherstrasse 111Birmensdorf8903Switzerland
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Lampert A, Liebhold AM. Combining multiple tactics over time for cost-effective eradication of invading insect populations. Ecol Lett 2020; 24:279-287. [PMID: 33169526 DOI: 10.1111/ele.13640] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/21/2020] [Accepted: 10/17/2020] [Indexed: 11/26/2022]
Abstract
Because of the profound ecological and economic impacts of many non-native insect species, early detection and eradication of newly founded, isolated populations is a high priority for preventing damages. Though successful eradication is often challenging, the effectiveness of several treatment methods/tactics is enhanced by the existence of Allee dynamics in target populations. Historically, successful eradication has often relied on the application of two or more tactics. Here, we examine how to combine three treatment tactics in the most cost-effective manner, either simultaneously or sequentially in a multiple-annum process. We show that each tactic is most efficient across a specific range of population densities. Furthermore, we show that certain tactics inhibit the efficiency of other tactics and should therefore not be used simultaneously; but since each tactic is effective at specific densities, different combinations of tactics should be applied sequentially through time when a multiple-annum eradication programme is needed.
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Affiliation(s)
- Adam Lampert
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, 85287, USA.,Simon A. Levin Mathematical, Computational and Modeling Science Center, Arizona State University, Tempe, AZ, 85287, USA
| | - Andrew M Liebhold
- USDA Forest Service Northern Research Station, Morgantown, WV, 26505, USA.,Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Suchdol, 165 21 Praha 6, Czech Republic
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9
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Jactel H, Desprez-Loustau ML, Battisti A, Brockerhoff E, Santini A, Stenlid J, Björkman C, Branco M, Dehnen-Schmutz K, Douma JC, Drakulic J, Drizou F, Eschen R, Franco JC, Gossner MM, Green S, Kenis M, Klapwijk MJ, Liebhold AM, Orazio C, Prospero S, Robinet C, Schroeder M, Slippers B, Stoev P, Sun J, van den Dool R, Wingfield MJ, Zalucki MP. Pathologists and entomologists must join forces against forest pest and pathogen invasions. NEOBIOTA 2020. [DOI: 10.3897/neobiota.58.54389] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The world’s forests have never been more threatened by invasions of exotic pests and pathogens, whose causes and impacts are reinforced by global change. However, forest entomologists and pathologists have, for too long, worked independently, used different concepts and proposed specific management methods without recognising parallels and synergies between their respective fields. Instead, we advocate increased collaboration between these two scientific communities to improve the long-term health of forests.
Our arguments are that the pathways of entry of exotic pests and pathogens are often the same and that insects and fungi often coexist in the same affected trees. Innovative methods for preventing invasions, early detection and identification of non-native species, modelling of their impact and spread and prevention of damage by increasing the resistance of ecosystems can be shared for the management of both pests and diseases.
We, therefore, make recommendations to foster this convergence, proposing in particular the development of interdisciplinary research programmes, the development of generic tools or methods for pest and pathogen management and capacity building for the education and training of students, managers, decision-makers and citizens concerned with forest health.
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10
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Robinet C, Castagnone‐Sereno P, Mota M, Roux G, Sarniguet C, Tassus X, Jactel H. Effectiveness of clear‐cuttings in non‐fragmented pine forests in relation to EU regulations for the eradication of the pine wood nematode. J Appl Ecol 2020. [DOI: 10.1111/1365-2664.13564] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | | | - Manuel Mota
- NemaLab‐ICAAM Universidade de Evora Evora Portugal
| | - Géraldine Roux
- INRAE URZF Orléans France
- Université d’OrléansCOST Orléans France
| | | | - Xavier Tassus
- ANSES Expertise and Biological Risk Unit Angers France
| | - Hervé Jactel
- INRAE Université de BordeauxBIOGECO Cestas France
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