Global economic costs of mammal invasions

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159479 - 159479

Опубликована: Окт. 18, 2022

Invasive alien mammals cause huge adverse ecological impact on human society and natural ecosystems. Although studies have estimated economic costs of mammal invasions at regional scales, there is lacking the large-scale comprehensive assessment currency for this taxon. Here, we cost invasive a global scale using most database compiling species (InvaCost). From 1960 to 2021, caused (summing damage management costs) US$ 462.49 billion economy, while total amount robust reached 52.49 billion. The majority corresponded (90.27 %), only 7.43 % were related cost. Economic showed an increasing trend over time. distribution was uneven among taxonomic groups regions, with highly biasing toward 5 (European rabbit, Domestic cat, Black rat, Wild boar Coypu), North America reporting much higher (60.78 than other regions. borne by agriculture, environment, authorities stakeholders sectors. Geographic biases suggested that underestimated. Integrated research efforts are needed fill in knowledge gaps generated identify drivers costs.

Язык: Английский

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The nature of economic costs of biological invasions

Biological Invasions, Год журнала: 2022, Номер 24(7), С. 2081 - 2101

Опубликована: Июль 1, 2022

Язык: Английский

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Investigating beetle communities in and around entry points can improve surveillance at national and international scale

NeoBiota, Год журнала: 2023, Номер 85, С. 145 - 165

Опубликована: Июнь 22, 2023

Beetles are commonly moved among continents with international trade. Baited traps set up in and around entry points used to increase chances of early-detection incoming species complement visual inspections. A still underestimated benefit this surveillance approach is the high number diversity collected bycatch species. In study, we exploited a multiyear program carried out baited at five Spanish ports their surrounding natural areas investigate i) importance identifying more promptly detect nonnative belonging non-target groups; ii) patterns native richness abundance inside port vs. areas; iii) occurrence spillover events between areas, iv) whether most introduced into other countries abundant than areas. total 23,538 individuals from 206 representing 33 families were collected. The taxonomic 26 beetle testified that identification these unintentionally trapped can provide additional information on ongoing invasions. Patterns highlighted differential ability different colonize Finally, surroundings, while opposite trend occurred for have not been elsewhere. Our study use generic attractants aid species, useful risk introduction countries.

Язык: Английский

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Detection of Aquatic Invasive Plants in Wetlands of the Upper Mississippi River from UAV Imagery Using Transfer Learning

Remote Sensing, Год журнала: 2023, Номер 15(3), С. 734 - 734

Опубликована: Янв. 27, 2023

Aquatic invasive plants (AIPs) are a global threat to local biodiversity due their rapid adaptation the new environments. Lythrum salicaria, commonly known as purple loosestrife, is predominant AIP in upper Midwestern region of United States and has been designated deadly wetlands this region. Accurate estimation its current extent top priority, but regular monitoring limited cost-, labor-, time-intensive field surveys. Therefore, goal present study accurately detect loosestrife from very high-resolution UAV imagery using deep neural network-based models. As case study, implemented U-Net LinkNet models with ResNet-152 encoder Mississippi River situated La Crosse County, Wisconsin. The results showed that both produced 88–94% training accuracy performed better landscapes were occupied by smaller, disaggregated, more equitably distributed loosestrife. Furthermore, adopted transfer learning approach implement trained model first site it for second site. pre-trained implementation generated less than half time original model. approach, if adapted efficiently, can be highly beneficial continuous strategic planning application direct biocontrol measures.

Язык: Английский

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Adaptation to bioinvasions: When does it occur?

Global Change Biology, Год журнала: 2024, Номер 30(6)

Опубликована: Май 31, 2024

Abstract The presence of alien species represents a major cause habitat degradation and biodiversity loss worldwide, constituting critical environmental challenge our time. Despite sometimes experiencing reduced propagule pressure, leading to genetic diversity an increased chance inbreeding depression, invaders are often able thrive in the habitats introduction, giving rise so‐called “genetic paradox” biological invasions. adaptation new is therefore complex aspect invasions, encompassing genetic, epigenetic, ecological processes. Albeit numerous studies reviews investigated mechanistic foundation invaders' success, aimed solve paradox, still remains crucial oversight regarding temporal context which takes place. Given profound knowledge management implications, this neglected invasion biology should receive more attention when examining ability introduction. Here, we discuss mechanisms exhibited by with purpose highlighting timing their occurrence during process. We analyze each stage separately, providing evidence that play role all them. However, these vary across different stages invasion, also influenced other factors, such as transport speed, reproduction type invader, human interventions. Finally, provide insights into implications for management, identify gaps, suggesting avenues future research can shed light on adaptability. This, turn, will contribute comprehensive understanding

Язык: Английский

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The Use of an Airborne Laser Scanner for Rapid Identification of Invasive Tree Species Acer negundo in Riparian Forests

Remote Sensing, Год журнала: 2022, Номер 15(1), С. 212 - 212

Опубликована: Дек. 30, 2022

Invasive species significantly impact ecosystems, which is fostered by global warming. Their removal generates high costs to the greenery managers; therefore, quick and accurate identification methods can allow action be taken with minimal on ecosystems. Remote sensing techniques such as Airborne Laser Scanning (ALS) have been widely applied for this purpose. However, many of invasive plants, Acer negundo L., penetrate forests under leaves thus make recognition difficult. The strongly contaminated riverside in Vistula valley were examined gradient center Warsaw beyond its limits within a Natura 2000 priority habitat (91E0), namely, alluvial willow poplars. This work aimed assess potentiality dual-wavelength ALS identifying stage A. invasion. research was carried out using over 500 test areas 4 m diameter riparian forests, where habitats did not show any significant traces transformation. LiDAR bi-spectral data density 6 points/m2 both channels acquired Riegl VQ-1560i-DW scanner. implemented approach based crown parameters obtained from point cloud segmentation. Adaptive Mean Shift 3D algorithm used separate individual crowns. method allows delineation dominant trees canopy (horizontal segmentation) undergrowth (vertical segmentation), taking into account diversified structure tree stands. geometrical features distribution characteristics GNDVI (Green Normalized Vegetation Index) calculated all segments. These found essential distinguish other species. classification sequential additive modeling multi-class loss function. Results accuracy, exceeding 80%, allowed localizing crowns belonging With presented method, we could determine dendrometric traits age tree, height, height covering trees.

Язык: Английский

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Predicting the Distribution of Sclerodermus sichuanensis (Hymenoptera: Bethylidae) under Climate Change in China

Insects, Год журнала: 2023, Номер 14(5), С. 475 - 475

Опубликована: Май 18, 2023

Sclerodermus sichuanensis is the natural enemy of longicorn beetle due to its strong attack ability and high parasitic rate. Its good resistance fecundity make it have significant biological control value. The Maxent model ArcGIS software were used simulate current distribution S. in China by combining known information environmental variables predict suitable area 2050s (2041–2060) 2090s (2081–2000) under three climate scenarios (SSP1-2.6, SSP2-4.5. SSP5-8.5). results showed that Mean Diurnal Range (bio2), Min Temperature Coldest Month (bio6), Precipitation Warmest Quarter (bio18), Max (bio5) key affecting sichuanensis. Southwest part North are main concentrations high-suitability areas moderately concentrated South Central China. Under SSP5-8.5 scenario, predicted will expand significantly Northwest China, with a total increase 81,295 km2. This work provides an essential reference for future research on application forestry pest control.

Язык: Английский

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Strategies for the Management of Aggressive Invasive Plant Species

Plants, Год журнала: 2023, Номер 12(13), С. 2482 - 2482

Опубликована: Июнь 28, 2023

Current control methods for invasive alien plants (IAPs) have acceptable short-term outcomes but proven to be unfeasible or unaffordable in the long-term large invaded areas. For these reasons, there is an urgent need develop sustainable approaches restrict spread of aggressive IAPs. The use waste derived from IAP actions could contribute motivating management and preservation local biodiversity while promoting some economic returns stakeholders. However, this strategy may raise concerns that should carefully addressed before its implementation. In article, we summarize most common IAPs, explaining their viability limitations. We also compile potential applications residues discuss risks opportunities associated with strategy.

Язык: Английский

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Widespread imprecision in estimates of the economic costs of invasive alien species worldwide

The Science of The Total Environment, Год журнала: 2023, Номер 909, С. 167997 - 167997

Опубликована: Окт. 30, 2023

Several hundred studies have attempted to estimate the monetary cost arising from management and/or impacts of invasive alien species. However, diversity methods used costs species, types that been reported, and spatial scales at which they assessed raise important questions as precision these reported costs. Benford's Law has increasingly a diagnostic tool assess accuracy reliability estimates in financial accounts but rarely applied audit data on environmental Therefore, distributions first, second- leading double-digits biological invasions, InvaCost database, were compared with null expectations under Law. There was strong evidence invasions departed considerably departures scale equal found global macroeconomic data. The rounding upwards appears be widespread. Furthermore, numerical heaping, where values cluster around specific numbers evident only 901 unique accounting for half 13,553 within database. Irrespective currency, value 1,000,000 most common estimate. An investigation anomalous entries concluded non-peer reviewed official government reports need provide greater detail regarding how are estimated. Despite undeniably high economic worldwide, individual records often imprecise possibly inflated this emphasises transparency rigour when reporting invasions. Identifying whether irregularities general other should research priority.

Язык: Английский

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Mapping invasive iceplant extent in southern coastal California using high-resolution aerial imagery

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102559 - 102559

Опубликована: Март 28, 2024

Invasive species threaten natural ecosystems globally, displacing native and causing biodiversity loss. In coastal areas with Mediterranean climate around the world, iceplant (Carpobrotus edulis) has become highly invasive, forming large monospecific zones that compete for resources plant species, including threatened or endangered species. Despite widespread impact of across a climate, there is no precise information on where it how much spread. This study focuses mapping quantifying extent along coast Santa Barbara County in California, USA, by leveraging machine learning methods to identify images from 2020 National Agriculture Imagery Program (NAIP) archive at 0.6 m/pixel resolution, creating most extensive assessment date this invasive Results include map showing locations overall accuracy 87.11% ± 2.44% (95% confidence interval). The estimated coverage our region 2.2 0.42 km2 Additionally, study's use open data reproducible analysis validation workflow opens door presented be adapted applied California all other climatic regions. addition, developed approach will accelerate monitoring over time comprehend spread mitigation invasions.

Язык: Английский

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