Evidence map›Paper›PMID 38256799›Full record

ArticlePlants (Basel, Switzerland)2024

Interannual Variations in Terrestrial Net Ecosystem Productivity and Climate Attribution in the Southern Hilly Region of China.

Xin Qi, Shuhua Liu, Shaoan Wu, Jian Wang, Jiaming Wang, Chao Zheng, Yong Wang, Yang Liu, Quan Luo, Qianglong Li and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Xin QiChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Shuhua LiuShandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China.
Shaoan WuChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Jian WangChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Jiaming WangCollege of Natural Resources and Environment, Northwest A & F University, Yangling 712100, China.
Chao ZhengChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Yong WangChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Yang LiuChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Quan LuoChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Qianglong LiChangsha Natural Resources Comprehensive Survey, China Geological Survey, Changsha 410600, China.
Liang WangShandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China.
Jie ZhaoShandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China.ORCID 0000-0002-8104-3920

Funding

National Natural Science Foundation of China 42201228Social Science Planning Research Project of Shandong Province 21DSHJ02
6 · The paper itself

Abstract

The vegetation ecosystem in the southern hilly region of China (SHRC) plays a crucial role in the country's carbon reservoir. Clarifying the dynamics of net primary productivity (NPP) in this area and its response to climate factors in the context of climate change is important for national forest ecology, management, and carbon neutrality efforts. This study, based on remote sensing and meteorological data spanning the period 2001 to 2021, aims to unveil the spatiotemporal patterns of vegetation productivity and climate factors in the southern hilly region, explore interannual variation characteristics of vegetation productivity with altitude, and investigate the response characteristics of NPP to various climate factors. The results indicate that from 2001 to 2021, the annual average NPP in the southern hilly region had a significant increasing trend of 2.13 ± 0.78 g m

Indexed as

climate attributionnet ecosystem productivitynocturnal warmingsouthern hilly region of China

Identifiers

PMID38256799
PMCPMC10819449

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.