Evidence map›Paper›PMID 32918617›Full record

ArticleEnvironmental monitoring and assessment2020

Prominent vegetation greening and its correlation with climatic variables in northern China.

Yuhe Ji, GuangSheng Zhou, Shudong Wang, Lixia Wang

Abstract read
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Article in Environmental monitoring and assessment, 2020. 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

4 authors.

Yuhe JiState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Science, Beijing, 100081, China.ORCID http://orcid.org/0000-0002-9115-9863
GuangSheng ZhouState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Science, Beijing, 100081, China. zhougs@cma.gov.cn.
Shudong WangState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China.
Lixia WangMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, 100094, China.

Funding

National Natural Science Foundation of China 41571175
6 · The paper itself

Abstract

Global vegetation has been reported to be turning greener, especially in China and India. The Yellow River Basin is one of the most prominent greening areas in China. While some studies have attributed vegetation greening to large-scale ecological restoration efforts, our study focuses on the role of climate change in vegetation greening. We selected a time series of annual vegetation net primary productivity (NPP) and vegetation coverage from satellite data to quantify the vegetation greening trend. Annual temperature and precipitation were selected to examine the climate trend from 2000 to 2019. The results showed that the Yellow River Basin experienced a rapid increase in temperature and precipitation during this period. Annual temperature increased with an average speed of 0.905 °C per decade, approximately 4.5 times larger than that of global warming. Annual precipitation increased by 82.8%, with an average speed of 9.17 mm per year. There was widespread vegetation greening in the Yellow River Basin during 2000-2019. This was demonstrated by an increase in vegetation NPP and vegetation coverage in the Yellow River Basin. The increase of annual NPP and coverage from 2000 to 1019 was 26.6% and 30.8%, respectively. Even while considering the effects of conservation and restoration efforts, the rapid increases in temperature and precipitation allowed vegetation to flourish, as evidenced by significant positive correlations between climate variables and vegetation variables. Therefore, climate change played an important positive role in vegetation greening, rather than an undesirable disturbance.

Indexed as

EcosystemEnvironmental MonitoringChinaClimate ChangeIndiaClimate changeNet primary productivityPrecipitationVegetation coverageVegetation greeningYellow River Basin

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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.