Unveiling the resistance of native weed communities: insights for managing invasive weed species in disturbed environments

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2024, Volume and Issue: 99(3), P. 753 - 777

Published: Jan. 4, 2024

ABSTRACT Weed communities influence the dynamics of ecosystems, particularly in disturbed environments where anthropogenic activities often result higher pollution. Understanding existing between native weed and invasive species is crucial for effective management normal ecosystem functioning. Recognising potential resistance to invasion can help identify suitable plants restoration operations. This review aims investigate adaptations exhibited by non‐native weeds that may affect invasions within environments. Factors such as ecological characteristics, altered soil conditions, potentially confer a competitive advantage relative or are analysed. Moreover, roles biotic interactions competition, mutualistic relationships, allelopathy shaping described. Emphasis given consideration key factor provides insights conservation efforts Additionally, this underscores need further research unravel underlying mechanisms devise targeted strategies. These strategies aim promote mitigate negative effects By delving deeper into these insights, we gain an understanding ecosystems develop valuable species, restore long‐term sustainability.

Language: Английский

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From UAV to PlanetScope: Upscaling fractional cover of an invasive species Rosa rugosa

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 336, P. 117693 - 117693

Published: March 11, 2023

Invasive plant species pose a direct threat to biodiversity and ecosystem services. Among these, Rosa rugosa has had severe impact on Baltic coastal ecosystems in recent decades. Accurate mapping monitoring tools are essential quantify the location spatial extent of invasive support eradication programs. In this paper we combined RGB images obtained using an Unoccupied Aerial Vehicle, with multispectral PlanetScope map R. at seven locations along Estonian coastline. We used RGB-based vegetation indices 3D canopy metrics combination random forest algorithm thickets, obtaining high accuracies (Sensitivity = 0.92, specificity 0.96). then presence/absence maps as training dataset predict fractional cover based derived from constellation Extreme Gradient Boosting (XGBoost). The XGBoost yielded prediction (RMSE 0.11, R2 0.70). An in-depth accuracy assessment site-specific validations revealed notable differences between study sites (highest 0.74, lowest 0.03). attribute these various stages invasion density thickets. conclusion, UAV is cost-effective method highly heterogeneous ecosystems. propose approach valuable tool extend local geographical scope assessments into wider areas regional evaluations.

Language: Английский

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Expanding horizon of invasive alien plants under the interacting effects of global climate change: multifaceted impacts and management prospects

Climate Change Ecology, Journal Year: 2025, Volume and Issue: unknown, P. 100092 - 100092

Published: Jan. 1, 2025

Language: Английский

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Can foliar application of soluble monoammonium phosphate effectively alleviate herbicide-induced oxidative stress in key crops?

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 28, 2025

Phosphorus (P) and nitrogen (N) directly impact final crop productivity by playing essential roles in photosynthesis, ATP formation, carbon assimilation, cell division, transport. Compared with nutrient application to soil, the nutrients are applied leaves provides a faster response because enter plant metabolism more quickly. Foliar fertilization nutritional supplements can intend increase yields, little is known about its ability reduce oxidative stress. This study evaluated effects of foliar on recovery from phytotoxicity induced herbicide exposure. Phytotoxicity was soybean, maize, cotton plants applying carfentrazone-ethyl (at V 3 , 4 growth stages, respectively), which induces accumulation reactive oxygen species cytoplasm, leading membrane rupture appearance chlorotic spots leaves. induction followed monoammonium phosphate (MAP) as source N P. Leaf content, gas exchange performance, pigment photosynthetic enzyme activity, antioxidant metabolism, stress, proline metabolite biometric parameters were evaluated. MAP supplementation increased chlorophyll RuBisCO activity up 20.5% (maize) 16.2% (cotton), respectively, resulting higher net rates (26.3%; cotton), stomatal conductance (45.7%; water use efficiency (35.6%; carboxylation (45%; cotton). The activities enzymes also increased, concentrations stress indicators decreased (H 2 O : 33.7% MDA: 28.3%; soybean). Furthermore, all three crops suggesting that an efficient strategy for attenuating symptoms crops.

Language: Английский

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Monitoring the spatial–temporal distribution of invasive plant in urban water using deep learning and remote sensing technology

Ecological Indicators, Journal Year: 2024, Volume and Issue: 162, P. 112061 - 112061

Published: April 21, 2024

Despite water ecosystems being capable of sustaining biodiversity and enhancing the overall resilience urban environment, they are highly susceptible to biological invasions. Invasive aquatic plants (IAPs) threaten natural environment by reducing diversity native animal communities. Detecting IAPs mapping their distribution is crucial for protection ecosystems. This study first its kind use high-resolution unmanned aerial vehicle (UAV) imagery deep learning approaches monitor expansion Pistia stratiotes (water lettuce). A DJI Matrice 300 RTK was utilized capture time-series images with a resolution 0.018 m on Guanyin Lake, Cangshan District, Fuzhzou, China, during an outbreak subsequent rapid growth stage lettuce. Three model architectures three backbones were combined detect Model performance ability generalize evaluated determine optimal lettuce detection from UAV imagery. Results show that DeepLabv3 + ResNet-34 achieved superior in detecting imagery, yielding average accuracy 90.24 % (85.33 %≤F1_score ≤ 96.54 %) five different dates. For image acquired September 26th, U-Net ResNet-18 yielded highest (F1_score = 92.46 %), but it not multi-temporal The can have large variations at times, change rate 49.50 every two days up 60.33 %. demonstrates combination achieve excellent monitoring provide method map dynamic systems over time.

Language: Английский

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Addressing computation resource exhaustion associated with deep learning training of three-dimensional hyperspectral images using multiclass weed classification

Artificial Intelligence in Agriculture, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Herbicidal potential of essential oils from the alien invasive species against them: An eco-friendly approach

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 351 - 363

Published: Jan. 1, 2025

Language: Английский

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Effect of Fertilization and Weed Management Practices on Weed Diversity and Hemp Agronomic Performance

Agronomy, Journal Year: 2023, Volume and Issue: 13(4), P. 1060 - 1060

Published: April 5, 2023

The industrial hemp market is rapidly expanding, and best crop practices need to be assessed. This study aimed determine the effect of fertilization weed management on crops flora during 2019 2020 growing seasons. Field experiments were laid out in a split–split plot design with three replicates: two cultivars as main plots, treatments sub-plots, sub-sub-plots (weedy, weed-free, herbicide application). For computation traits, 10 plants randomly selected by each plot. Weed species collected quadrate for density biomass weight determination. Increased rate positively affected plant height dry biomass, while no impact was recorded yield components. nitrophilous weeds enhanced fertilization, negatively affecting growth. Marked differences competitive ability since “Fedora 17” decreased studied traits better than “Uso 31”. Herbicide application annual perennial 38% 13%, respectively, it caused reduction growth 31” plants. Further research should conducted address losses under different cultural control systems.

Language: Английский

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Advancing agriculture with machine learning: a new frontier in weed management

Frontiers of Agricultural Science and Engineering, Journal Year: 2024, Volume and Issue: 0(0), P. 0 - 0

Published: Jan. 1, 2024

● Machine learning offers innovative and sustainable weed management approaches. Herbicide use environmental impact can be reduced through machine learning. models classify species optimize herbicide usage. Real-time monitoring of invasive is possible with Weed a crucial aspect modern agriculture as plants negatively crop yields profitability. Long-established methods control, such manual labor synthetic herbicides, have been widely used but come their own set challenges. These are often time-consuming, labor-intensive, pose risks. Herbicides the primary method control due to efficiency cost-effectiveness. However, over-reliance on herbicides has led contamination, resistance, potential health hazards. To address these issues, researchers industry experts now exploring integration into chemical strategies. As technology advances, there growing interest in This review examines management. approaches by analyzing large data sets, recognizing patterns, making accurate predictions. enables timely intervention, preventing spread. Integrating holds promise for enhancing agricultural practices, reducing usage minimizing impact. Validation refinement algorithms needed practical application.

Language: Английский

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Bats are sentinels for invasive pest surveillance based on DNA metabarcoding

Ecological Indicators, Journal Year: 2023, Volume and Issue: 152, P. 110354 - 110354

Published: May 19, 2023

Loss of crop yield due to non-native invasive pests is a global phenomenon with profound population, biodiversity, ecosystem, and economic impacts. The polyphagous migratory fall armyworm (FAW) Spodoptera frugiperda (Lepidoptera, Noctuidae) has become major pest around the globe in past decade, posing great threat food security. Early warning timely detection this its associated agricultural risks are essential for preventing, intervening, controlling, mitigating invasion threats, which could reduce losses damage. However, one key challenge how effectively accurately monitor as soon possible prior their establishment. Here, we aimed determine effectiveness four different methods identifying presence FAW, namely DNA metabarcoding, field survey, light trap, sex pheromone trap. We collected fecal samples six bat species FAW colonization area, including Rhinolophus pearsonii, rex, Ia io, Myotis altarium, pilosus, chinensis. then utilized through metabarcoding during early establishment stages compared approach three traditional surveillance methods. results revealed interspecific differences occurrence frequency species. Furthermore, successfully monitored nearly month advance approaches, coincides adult migration time larval counterparts found based on effective accumulated temperature calculations. Our showed that dietary analysis generalist insectivorous bats can be an effective, noninvasive, economically viable tool monitoring inform management decisions.

Language: Английский

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