ArticleScientific reports2025
Study on the driving mechanisms of spatiotemporal nonstationarity of vegetation dynamics in Heilongjiang Province.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heilongjiang Province, a key ecological barrier in Northeast China, is crucial for regional ecosystem stability. Previous vegetation index research in this region primarily focused on annual or growing-season scales, without comprehensive comparisons of seasonal and interannual variations. This study addresses this gap by analyzing spatiotemporal vegetation dynamics and their driving forces in Heilongjiang Province using MODIS data (2000-2021). The findings reveal: (1) Analysis of MODIS-derived Fractional Vegetation Cover (FVC) from 2000 to 2021 revealed decreasing trends in spring, autumn, and winter, alongside an increasing summer trend. Spatially, FVC was higher in the northwest, central, and southeast regions, indicating significant heterogeneity. (2) Theil-Sen trend and Hurst exponent analyses indicated a declining annual FVC trend in 61.8% of the area, with 54.7% projected for continued future decline. A centroid shift model showed an overall westward FVC movement, except in spring. Coefficient of variation analysis demonstrated highest FVC stability in summer and lowest in winter. The global Moran's I index indicates that FVC exhibits a highly spatially concentrated distribution. Local Moran's I analysis primarily reveals two clustering patterns: "high-high" and "low-low" aggregations.(3) Random Forest SHAP analysis identified altitude, land cover type, evapotranspiration (ET), and slope as primary factors influencing FVC. Furthermore. The geographical detector analysis demonstrates that the interactions among factors strengthen their overall impact on FVC.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.