Scientists' warning on invasive alien species

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2020, Volume and Issue: 95(6), P. 1511 - 1534

Published: June 25, 2020

ABSTRACT Biological invasions are a global consequence of an increasingly connected world and the rise in human population size. The numbers invasive alien species – subset that spread widely areas where they not native, affecting environment or livelihoods increasing. Synergies with other changes exacerbating current facilitating new ones, thereby escalating extent impacts invaders. Invasions have complex often immense long‐term direct indirect impacts. In many cases, such become apparent problematic only when invaders well established large ranges. Invasive break down biogeographic realms, affect native richness abundance, increase risk extinction, genetic composition populations, change animal behaviour, alter phylogenetic diversity across communities, modify trophic networks. Many also ecosystem functioning delivery services by altering nutrient contaminant cycling, hydrology, habitat structure, disturbance regimes. These biodiversity accelerating will further future. Scientific evidence has identified policy strategies to reduce future invasions, but these insufficiently implemented. For some nations, notably Australia New Zealand, biosecurity national priority. There been successes, as eradication rats cats on islands biological control weeds continental areas. However, countries, receive little attention. Improved international cooperation is crucial biodiversity, services, livelihoods. Countries can strengthen their regulations implement enforce more effective management should address interact invasions.

Language: Английский

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The early detection of and rapid response (EDRR) to invasive species: a conceptual framework and federal capacities assessment

Biological Invasions, Journal Year: 2019, Volume and Issue: 22(1), P. 1 - 19

Published: Dec. 31, 2019

Abstract Globalization necessitates that we address the negative externalities of international trade and transport, including biological invasion. The US government defines invasive species to mean, “with regard a particular ecosystem, non-native organism whose introduction causes, or is likely cause, economic environmental harm, harm human, animal, plant health.” Here role early detection rapid response (EDRR) in minimizing impact on interests. We provide review EDRR’s usage as federal policy planning term, introduce new conceptual framework for EDRR, assess capacities enacting well-coordinated EDRR. Developing national EDRR program worthwhile goal; our assessment nonetheless indicates its partners need overcome substantial conceptual, institutional, operational challenges include establishing clear consistent terminology use, strategically identifying communicating agency functions, improving interagency budgeting, facilitating application emerging technologies other resources support making information relevant preparedness implementation more readily accessible. This paper first special issue Biological Invasions includes 12 complementary papers intended inform development program.

Language: Английский

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Digital Livestock Farming

Sensing and Bio-Sensing Research, Journal Year: 2021, Volume and Issue: 32, P. 100408 - 100408

Published: Feb. 27, 2021

As the global human population increases, livestock agriculture must adapt to provide more products and with improved efficiency while also addressing concerns about animal welfare, environmental sustainability, public health. The purpose of this paper is critically review current state art in digitalizing Precision Livestock Farming (PLF) technologies, specifically biometric sensors, big data, blockchain technology. Biometric sensors include either noninvasive or invasive that monitor an individual animal's health behavior real time, allowing farmers integrate data for population-level analyses. Real-time information from processed integrated using analytics systems rely on statistical algorithms sort through large, complex sets relevant trending patterns decision-making tools. Sensors enabled technology affords secure guaranteed traceability farm table, a key advantage monitoring disease outbreaks preventing related economic losses food-related pandemics. Thanks PLF has potential address abovementioned pressing by becoming transparent fostering increased consumer trust. However, new technologies are still evolving core component (such as blockchain) their infancy insufficiently validated at scale. next generation calls preventive predictive platforms can massive amounts accounting specific variables accurately accessibly. Issues privacy, security, integration need be addressed before deployment multi-farm shared solutions becomes commercially feasible.

Language: Английский

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Insect pest monitoring with camera-equipped traps: strengths and limitations

Journal of Pest Science, Journal Year: 2020, Volume and Issue: 94(2), P. 203 - 217

Published: Dec. 4, 2020

Abstract Integrated pest management relies on insect monitoring to support the decision of counteracting a given level infestation and select adequate control method. The classic approach pests is based placing in single infested areas series traps that are checked by human operators temporal basis. This strategy requires high labor cost provides poor spatial resolution achievable operators. adoption image sensors monitor can result several practical advantages. purpose this review summarize progress made automatic with particular focus camera-equipped traps. use software recognition algorithms trap usage identify and/or count species from pictures. Considering opportunity exploit data transfer systems through wireless technology, it possible have remote captures, limiting field visits. availability real-time on-line distant location opens for measuring population dynamics constantly simultaneously large number limited requirement. actual limitations cost, low power autonomy picture quality some prototypes together need further improvements fully automated detection. Limits benefits resulting case studies examined perspective future development technology-driven management.

Language: Английский

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Transgenic cotton and sterile insect releases synergize eradication of pink bollworm a century after it invaded the United States

Proceedings of the National Academy of Sciences, Journal Year: 2020, Volume and Issue: 118(1)

Published: Dec. 23, 2020

Significance We report eradication of the pink bollworm, one world’s most damaging crop pests, from cotton-growing areas continental United States and northern Mexico. A coordinated, multitactic program achieved this success a century after pest invaded both countries. The included releases billions sterile bollworm moths airplanes planting cotton engineered to produce insect-killing proteins bacterium Bacillus thuringiensis . Analysis computer simulations 21 y field data Arizona indicate these two tactics interacted synergistically suppress pest. By eradicating ended damage it caused insecticide sprays used control it, yielding economic, environmental, social benefits.

Language: Английский

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Maintenance management and eradication of established aquatic invaders

Hydrobiologia, Journal Year: 2020, Volume and Issue: 848(9), P. 2399 - 2420

Published: Aug. 6, 2020

Language: Английский

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Species Distribution Modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin, Ethiopia

Ecological Processes, Journal Year: 2021, Volume and Issue: 10(1)

Published: March 6, 2021

Abstract Background Species Distribution Modelling (SDM) coupled with freely available multispectral imagery from Sentinel-2 (S2) satellite provides an immense contribution in monitoring invasive species. However, attempts to evaluate the performances of SDMs using S2 spectral bands and Radiometric Indices (S2-RIs) biophysical variables, particular, were limited. Hence, this study aimed at evaluating performance six commonly used one ensemble model for S2-based variables modelling current distribution Prosopis juliflora lower Awash River basin, Ethiopia. Thirty-five computed Sentinel-2B level-2A, out twelve significant selected Variable Inflation Factor (VIF). A total 680 presence absence data collected train validate tenfold bootstrap replication approach R software “sdm” package. The models was evaluated sensitivity, specificity, True Skill Statistics (TSS), kappa coefficient, area under curve (AUC), correlation. Results Our findings demonstrated that except bioclim all machine learning regression provided successful prediction. Among tested models, Random Forest (RF) performed better 93% TSS 99% AUC followed by Boosted Regression Trees (BRT), ensemble, Generalized Additive Model (GAM), Support Vector Machine (SVM), Linear (GLM) decreasing order. relative influence vegetation indices highest soil indices, water According RF prediction, 16.14% (1553.5 km 2 ) invaded alien Conclusions results highlighted S2-RIs combined have a higher capacity species distribution. Besides, use algorithms such as algorithm is highly essential remote sensing-based SDM.

Language: Английский

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A global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystems

Nature Ecology & Evolution, Journal Year: 2021, Volume and Issue: 5(2), P. 219 - 230

Published: Jan. 4, 2021

Language: Английский

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A review of invasive species reporting apps for citizen science and opportunities for innovation

NeoBiota, Journal Year: 2022, Volume and Issue: 71, P. 165 - 188

Published: Feb. 25, 2022

Smartphone apps have enhanced the potential for monitoring of invasive alien species (IAS) through citizen science. They now capacity to massively increase volume and spatiotemporal coverage IAS occurrence data accrued in centralised databases. While more reporting are developed each year, innovation across diverse functionalities management this field occurring separately simultaneously amongst numerous research groups with little attention trends, priorities opportunities improvement. This creates risk duplication effort missed implementing new existing that would directly benefit management. Using a literature search Early Detection Rapid Response implementation, smartphone app development apps, we rubric quantitatively assessing functionality applied 41 free, English-language available via major mobile stores North America. The five highest performing achieved scores 61.90% 66.35% relative hypothetical maximum score, indicating many features functionalities, acknowledged be useful literature, not present sampled apps. suggests current do make use all known could maximise their efficacy. Major implementation gaps, highlighted by analysis, included limited user engagement (particularly gamification elements social media compatibility), ancillary information on effort, detection method, ability report absences local habitat characteristics. greatest advancement early likely result from gamification. engaging growing community non-professional contributors encourage frequent prolonged participation. We discuss these gaps relation increasingly urgent need frameworks. also recommend future innovations help slow spread curb global economic biodiversity extinction crises. suggest further funding investment other greatly efficacy contributions addressing contemporary biological invasion threat.

Language: Английский

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Rapid in situ identification of biological specimens via DNA amplicon sequencing using miniaturized laboratory equipment

Nature Protocols, Journal Year: 2022, Volume and Issue: 17(6), P. 1415 - 1443

Published: April 11, 2022

Language: Английский

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