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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
critical areas » cortical areas (Expand Search), critical care (Expand Search), critical barriers (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
critical areas » cortical areas (Expand Search), critical care (Expand Search), critical barriers (Expand Search)
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Additional questions on vaccination.
Published 2025“…Descriptive statistics were performed. Chi-square test and linear regression were used to assess the association between KAP and sociodemographic factors with significance set at p < 0.05.…”
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The raw data file.
Published 2025“…Descriptive statistics were performed. Chi-square test and linear regression were used to assess the association between KAP and sociodemographic factors with significance set at p < 0.05.…”
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3
Location map of the study area.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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4
Study area habitat quality LISA clustering map.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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Land use intensity classes standard.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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6
Land use transfer matrix 1990-2020 (km<sup>2</sup>).
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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Spato-temporal changes in land use types.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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Pattern indices of landscape levels.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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Type level landscape index changes in 1990-2020.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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Data source.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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11
Research Technology Flow Chart.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”
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Table 1_Exploring the effect of plant nitrogen concentration on the nitrogen nutrition index of winter wheat under controlled irrigation conditions.pdf
Published 2025“…Introduction<p>The nitrogen nutrition index (NNI) of winter wheat decreased under water deficit conditions, primarily due to an increase in the critical nitrogen concentration (%N<sub>c</sub>) associated with a reduction in shoot biomass (SB). …”
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Data Sheet 1_Unveiling spatiotemporal evolution and driving factors of ecosystem service value: interpretable HGB-SHAP machine learning model.docx
Published 2025“…In contrast, the soil organic matter (SOC) demonstrated a non-linear, highly significant positive correlation with ESV.…”
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