ArticleScientific reports2025
Research on temporal-spatial distribution differences and formation mechanisms of NPP in the Lanzhou section of the yellow river mainstream.
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
7 authors.
Funding
Abstract
The Lanzhou section of the Yellow River mainstem is a typical area for vegetation restoration in the ecologically fragile region of Northwest China. The spatiotemporal differences in Net Primary Productivity (NPP) of vegetation in this area serve as an important criterion for measuring the effectiveness of assessing vegetation growth. We analyze the spatiotemporal differentiation characteristics and driving mechanisms of NPP in the northern and southern mountain along the Lanzhou section of the Yellow River mainstream from 2000 to 2020 with the methods of the CASA model, Sen-MK trend analysis, and geographical detector. The results are as following: (1) Between 2000 and 2020, the overall trend of NPP in the North and South Mountain showed an increasing state, with the proportions of extremely significant growth areas in the North and South Mountain being 66.62% and 61.01%, respectively. But NPP per area is dominated with lower grades and presents a slowly increasing, especially in the North Mountain, the area with lower altitude and having stronger human activities. (2) The average NPP of the South Mountain from 2000 to 2020 was 202.01 gC·m⁻²·a⁻¹, while that of the North Mountain was 118.69 gC·m⁻²·a⁻¹. Analyses of total quantity differences, grade distribution differences, temporal variation differences, and seasonal differences all indicated that the Vegetation NPP of South Mountain was superior to that of the North Mountain; (3) This differentiation was influenced by a combination of natural factors (topographic factors, climatic factors, vegetation coverage) and human activities (land use types); (4) The geographical detector results further confirmed that NDVI was the most significant factor influencing NPP (q-value of 0.654938 for the southern mountains and 0.466094 for the northern mountains), and the interaction between NDVI and temperature had the most significant impact on NPP. This study helps to better understand the mechanisms behind regional NPP differentiation and reveal the extent which natural changes and human activities could influence NPP. It suggests that, in addition to implementing proven ecological restoration measures, efforts to improve vegetation cover quality in Lanzhou section of the Yellow River mainstem should comprehensively consider both natural and human factors, promote ecological comprehensive governance work according to local conditions in the future.
Indexed as
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.