ArticleScientific reports2017
Quantifying influences of physiographic factors on temperate dryland vegetation, Northwest China.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Site-Specific Drivers of Land-Use Change Effects on Organic Carbon in German Agriculture and Forest Soils.Global change biology · 2025Article
- Spatio-temporal evolution and driving factors of carbon storage in the Western Sichuan Plateau.Scientific reports · 2022Article
- Response of net primary productivity to grassland phenological changes in Xinjiang, China.PeerJ · 2021Article
- Responses of vegetation activity to the daytime and nighttime warming in Northwest China.Environmental monitoring and assessment · 2019Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Variability in satellite measurements of terrestrial greenness in drylands is widely observed in land surface processes and global change studies. Yet the underlying causes differ and are not fully understood. Here, we used the GeogDetector model, a new spatial statistical approach, to examine the individual and combined influences of physiographic factors on dryland vegetation greenness changes, and to identify the most suitable characteristics of each principal factor for stimulating vegetation growth. Our results indicated that dryland greenness was predominantly affected by precipitation, soil type, vegetation type, and temperature, either separately or in concert. The interaction between pairs of physiographic factors enhanced the influence of any single factor and displayed significantly non-linear influences on vegetation greenness. Our results also implied that vegetation greenness could be promoted by adopting favorable ranges or types of major physiographical factors, thus beneficial for ecological conservation and restoration that aimed at mitigating environmental degradation.
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