Evidence map›Paper›PMID 37836151›Full record

ArticlePlants (Basel, Switzerland)2023

Analysis of Net Primary Productivity Variation and Quantitative Assessment of Driving Forces-A Case Study of the Yangtze River Basin.

Chenxi Liu, Shuo Shi, Tong Wang, Wei Gong, Lu Xu, Zixi Shi, Jie Du, Fangfang Qu

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 11 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 2 institutions in 1 country.

Chenxi LiuElectronic Information School, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-4211-7106
Shuo ShiElectronic Information School, Wuhan University, Wuhan 430072, China.
Tong WangState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China.ORCID 0000-0002-3915-0175
Wei GongElectronic Information School, Wuhan University, Wuhan 430072, China.
Lu XuState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China.
Zixi ShiState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China.
Jie DuState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China.
Fangfang QuState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China.
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing · CNWuhan University · CN

Funding

Fundamental Research Funds for the Central Universities 2042022kf1200Fundamental Research Funds for the Central Universities 2042023kf0217National Natural Science Foundation of China 41971307
6 · The paper itself

Abstract

Net primary productivity (NPP) can indirectly reflect vegetation's capacity for CO2 fixation, but its spatiotemporal dynamics are subject to alterations to some extent due to the influences of climate change and human activities. In this study, NPP is used as an indicator to investigate vegetarian carbon ability changes in the vital ecosystems of the Yangtze River Basin (YRB) in China. We also explored the NPP responses to climate change and human activities. We conducted a comprehensive analysis of the temporal dynamics and spatial variations in NPP within the YRB ecosystems from 2003 to 2020. Furthermore, we employed residual analysis to quantitatively assess the contributions of climate factors and human activities to NPP changes. The research findings are as follows: (1) Over the 18-year period, the average NPP within the basin amounted to 543.95 gC/m2, displaying a noticeable fluctuating upward trend with a growth rate of approximately 3.1 gC/m2; (2) The areas exhibiting an increasing trend in NPP account for 82.55% of the total study area. Regions with relatively high stability in the basin covered 62.36% of the total area, while areas with low stability accounted for 2.22%, mainly situated in the Hengduan Mountains of the western Sichuan Plateau; (3) NPP improvement was jointly driven by human activities and climate change, with human activities contributing more significantly to NPP growth. Specifically, the contributions were 65.39% in total, with human activities contributing 59.28% and climate change contributing 40.01%. This study provides an objective assessment of the contributions of human activities and climate change to vegetation productivity, offering crucial insights for future ecosystem development and environmental planning.

Indexed as

climate changehuman activitiesnet primary productivityresidual analysis

Identifiers

PMID37836151
PMCPMC10574783
OpenAlexW4387119481

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.