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Showing 1 - 20 results of 1,704 for search '(( significant ((gap decrease) OR (greatest decrease)) ) OR ( significant source decrease ))', query time: 0.40s Refine Results
  1. 1
    Data sources and descriptions.

    Data sources and descriptions. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  2. 2
    Summary of results based on the results of Mancova’s analysis, highlighting the relationship between the acoustic parameters of the three studied species and the noise gradient recorded in two wind farms and a low-noise area. “n.s.” denotes non-significant changes.

    Summary of results based on the results of Mancova’s analysis, highlighting the relationship between the acoustic parameters of the three studied species and the noise gradient rec... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  3. 3
    Boxplot of the acoustic parameters of <i>Scinax x-signatus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classes had a reduction in the parameters call amplitude (C) and call pulses (E). * Letters above the bars indicate significant differences between the noise categories.

    Boxplot of the acoustic parameters of <i>Scinax x-signatus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise class... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  4. 4
    Boxplot of the acoustic parameters of <i>Scinax pachycrus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classes had a reduction in the parameters dominant frequency (A), frequency range (B) and call amplitude (C). * Letters above the bars indicate significant differences between the noise categories.

    Boxplot of the acoustic parameters of <i>Scinax pachycrus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classe... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  5. 5
    Data_GDP/ Ndvi.

    Data_GDP/ Ndvi. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  6. 6
    Flow chart of the study.

    Flow chart of the study. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  7. 7
    Example of manual identification.

    Example of manual identification. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  8. 8
    Data_soil.

    Data_soil. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  9. 9
    Data_road.

    Data_road. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  10. 10
    Excel_ESs and transfer matrix.

    Excel_ESs and transfer matrix. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  11. 11
    Coupling coordination types.

    Coupling coordination types. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  12. 12
    Results_urban-fringe-rural.

    Results_urban-fringe-rural. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
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  13. 13
    Boxplot of the acoustic parameters of <i>Physalaemus cicada</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classes had a reduction in the parameters call duration (D), call pulses (E) and an increase in call rate (F). *  Letters above the bars indicate significant differences between the noise categories.

    Boxplot of the acoustic parameters of <i>Physalaemus cicada</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise clas... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  14. 14
    The contemporary, long-term seasonality in inundation over the whole of the Amazon basin.

    The contemporary, long-term seasonality in inundation over the whole of the Amazon basin. by Nic Gedney (19762301)

    Published 2024
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  15. 15
    Sampling point (Source:

    Sampling point (Source: by Yonggang Huang (223155)

    Published 2025
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  16. 16
    Oscillogram (bottom) and sound spectrogram (top) of <i>Physalaemus cicada</i> (A, B), <i>Scinax pachycrus</i> (C, D), and <i>Scinax x-signatus</i> (E, F).

    Oscillogram (bottom) and sound spectrogram (top) of <i>Physalaemus cicada</i> (A, B), <i>Scinax pachycrus</i> (C, D), and <i>Scinax x-signatus</i> (E, F). by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  17. 17
    Most significant muscle activation values.

    Most significant muscle activation values. by María Benito-de-Pedro (22057468)

    Published 2025
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  18. 18
    Significant repeated measurements sEMG outcomes.

    Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

    Published 2025
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  19. 19
    Significant single measurement sEMG outcomes.

    Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

    Published 2025
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  20. 20
    Source data -

    Source data - by Desheng Xie (21439869)

    Published 2025
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