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Processes and mechanisms of vegetation ecosystem responding to climate and ecological restoration in China.

Front Plant Sci · 2022 · PMC9742609 · PMID 36518500

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a decreasing trendno p-value reported
an increasing trendno p-value reported
Identifying the forces driving the interannual NDVI variation Based on pixels, the absolute interannual change rate of NDVI was calculated by the unitary linear regression analysis method: the computation equation is expressed as (2) θ slope = n × ∑ i = 1 n ( i × N D V I i ) − ∑ i = 1 n i ∑ i = 1 n N D V I i n × ∑ i = 1 n i 2 − ( ∑ i = 1 n i ) 2 where n is for times; NDVI i is the interannual NDVI of one pixel in time i ; θ slope > 0 indicates an increasing trend, and the converse denotes a decreasing trend; and | θ slope | ≈ 0 shows that there is almost no change in the interannual NDVI.

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showed a trendno p-value reported
Of the area before the breakpoint, 45.4% showed a trend of vegetation decrease, which was concentrated mainly in east China, while 43% of the area after the breakpoint also showed vegetation degradation, mainly in northwest China.

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