Evidence map›Paper›PMID 41717112›Full record

ArticleFrontiers in plant science2026

Vegetation water use efficiency constrains the dynamic of net primary productivity in Mu Us Sandy Land.

Yunfei Chen, Zuyu Liu, Xinjia Guo, Kun Liu, Leyi Zhang, Jing Liu, Xiuhua Liu, Junqi He

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yunfei Chen *Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.
Zuyu Liu *Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.
Xinjia GuoKey Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.
Kun LiuCollege of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, China.
Leyi ZhangKey Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.
Jing LiuKey Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.
Xiuhua LiuKey Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.
Junqi HeKey Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mu Us Sandy Land (MUSL) in Northwest China, once one of the world's most severely desertification areas, is now a leading example of successful ecological restoration. Undoubtedly, ecological restoration efforts have significantly reversed this region's desertification and enhanced carbon sequestration. However, uncertainties remain regarding whether ongoing and expanded restoration initiatives can continue to stabilize or further enhance the productivity and carbon sequestration capacity of the region's ecosystems. Net primary productivity (NPP) as an important indicator for evaluating ecosystem function and sustainability. Analyzing its spatial-temporal evolves differences and driving mechanisms is crucial for formulating effective ecological restoration policies. Given this, this study applied the Breaks for Additive Season and Trend (BFAST) method to diagnose the NPP's spatiotemporal dynamics and development patterns in the MUSL from 2001 to 2020. The results revealed significant temporal-spatial variations in NPP, identifying eight development patterns (Type1-8). Among these, three increasing trends patterns-Type1, Type3, and Type5-were dominant, driven by rising regional precipitation and temperature, accounting for 82.9% of the total areas. In contrast, in the southern area with more favorable hydrothermal conditions, Type7 (from increase to decrease) was dominated, accounting for 16.4%. NPP in this region initially increased from 52 gC·m

Indexed as

arid ecosystemsclimate changeenvironmental factorsprecipitation use efficiencyvegetation restoration

Identifiers

PMID41717112
PMCPMC12913464

What OpenQuestion holds

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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.