Evidence map›Paper›PMID 35685016›Full record

ArticleFrontiers in plant science2022

Spatiotemporal Change of Net Primary Productivity and Its Response to Climate Change in Temperate Grasslands of China.

Rong Ma, Chunlin Xia, Yiwen Liu, Yanji Wang, Jiaqi Zhang, Xiangjin Shen, Xianguo Lu, Ming Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

12 citing papers in PubMed, 58 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Rong MaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Chunlin XiaCollege of Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, China.
Yiwen LiuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Yanji WangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Jiaqi ZhangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Xiangjin ShenNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Xianguo LuNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Ming JiangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Chinese Academy of Sciences · CNNortheast Institute of Geography and Agroecology · CNLiaoning Technical University · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The temperate grasslands in China play a vital part in regulating regional carbon cycle and climate change. Net primary productivity (NPP) is a crucial index that reflects ecological function of plants and the carbon sequestration capacity of grassland ecosystem. Climate change can affect NPP by changing vegetation growth, but the effects of climate change on the NPP of China's temperate grasslands remain unclear. Based on MODIS data and monthly climate data during 2000-2020, this study explored the spatiotemporal changes in grassland NPP and its response to climate change in temperate grasslands of China. We found that the annual NPP over the entire China's temperate grasslands increased significantly by 4.0 gC/m

Indexed as

Chinaclimate changeNPPtemperate grasslandvegetation

Identifiers

PMID35685016
PMCPMC9171389
OpenAlexW4281385406

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.