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significant green » significant degrees (Expand Search), significant burden (Expand Search), significant genes (Expand Search)
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green decrease » greater decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
significant green » significant degrees (Expand Search), significant burden (Expand Search), significant genes (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
green decrease » greater decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
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Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020).
Published 2025“…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for DJF (December-February), MAM (March-May), JJA (June-August) and SON (September-November). …”
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Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020).
Published 2025“…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for DJF (December-February), MAM (March-May), JJA (June-August), and SON (September-November). …”
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Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) by countries and territories.
Published 2025“…<p>Areas with increasing (green) or decreasing (red) vegetation, based on the Mann-Kendall test and statistically significance values (<i>p</i> < 0.05) for December-February (DJF), March-May (MAM), June-August (JJA) and September-November (SON). …”
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Moran’s I value, Z value and P value of CCD-GFEE.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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Temporal evolution of urban EE in western China.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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CCD-GFEE driver index system.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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Spatial evolution of urban EE in western China.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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CCD-GFEE evaluation criteria.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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Ecological efficiency index system.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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Conceptual model.
Published 2025“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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