Evidence map›Paper›PMID 33415495›Full record

ArticleEnvironmental monitoring and assessment2021

Spatial differentiation of the NPP and NDVI and its influencing factors vary with grassland type on the Qinghai-Tibet Plateau.

Yixuan Liu, Shiliang Liu, Yongxiu Sun, Mingqi Li, Yi An, Fangning Shi

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yixuan LiuSchool of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China.
Shiliang LiuSchool of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China. shiliangliu@bnu.edu.cn.
Yongxiu SunSchool of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China.
Mingqi LiSchool of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China.
Yi AnSchool of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China.
Fangning ShiSchool of Environment, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing, 100875, China.

Funding

National Key Research and Development Project No. 2016YFC0502103National Natural Sciences Foundation of China No. 41571173The second scientific expedition to the Qinghai-Tibet Plateau No. 2019QZKK0405-05
6 · The paper itself

Abstract

Grasslands are the dominant ecosystem of the Qinghai-Tibet Plateau (QTP), and they play an important role in climate regulation and represent an important ecological barrier in China. However, the spatial differentiation characteristics of net primary productivity (NPP) and normalized differential vegetation index (NDVI) and the main influencing factors that vary with grassland type on the QTP are not clear. In this study, standardized precipitation evapotranspiration index (SPEI), digital elevation model (DEM), precipitation, temperature, slope, photosynthetically active radiation (PAR) and grazing intensity were considered the driving factors. First, a grey relational degree analysis was performed to test for the quantitative relationships between NPP, NDVI and factors. Then, the geographical detector method was applied to analyze the interaction relationships of the factors. Finally, based on the geographically weighted regression (GWR) model, the influence of factors varied with grassland type on the NPP and NDVI was revealed from the perspective of spatial differentiation. The results were as follows: (1) The NPP and NDVI had roughly the same degrees of correlation with each impact factor by the grey relational degree analysis, each factor was closely related to the NPP and NDVI, and the relational degree between grazing intensity and NPP was greater than that between grazing intensity and NDVI. (2) The interaction relationships between influencing factors and NPP and NDVI varied with the grassland type and presented bivariate enhancement and nonlinear enhancement, and the interaction effects between grazing intensity and any factor on each grassland type had a greater impact on NPP. (3) The main influencing factors of the spatial heterogeneity of NPP were grazing intensity and PAR, which were "high from northeast to southwest, low from northwest to southeast" and "low in the middle and high around". The main influencing factors on the NDVI were precipitation and PAR, which were "low in the middle and high around" and "high in the north, low in the south".

Indexed as

EcosystemGrasslandChinaClimate ChangeEnvironmental MonitoringTibetGeographically weighted regressionInteraction relationshipSpatial heterogeneity effectVegetation

Identifiers

PMID33415495

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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.