Evidence map›Paper›PMID 38340175›Full record

ArticleEnvironmental monitoring and assessment2024

Spatiotemporal evolution and driving factors of ecosystem services' transformation in the Yellow River basin, China.

Nan Li, Piling Sun, Jinye Zhang, Junxiong Mo, Kun Wang

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 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
3.7field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Nan LiSchool of Geography and Tourism, Qufu Normal University, Rizhao, 276826, Shandong, China.
Piling SunSchool of Geography and Tourism, Qufu Normal University, Rizhao, 276826, Shandong, China. spling86@qfnu.edu.cn.
Jinye ZhangSchool of Geography and Tourism, Qufu Normal University, Rizhao, 276826, Shandong, China.
Junxiong MoSchool of Geography and Tourism, Qufu Normal University, Rizhao, 276826, Shandong, China.
Kun WangSchool of Geography and Tourism, Qufu Normal University, Rizhao, 276826, Shandong, China.
Qufu Normal University · CN

Funding

National College Student Innovation Training Project No. 202210446004National Natural Science Foundation of China 42101258Natural Science Foundation Youth Program of Shandong Province of China ZR2019QD006
6 · The paper itself

Abstract

The Yellow River basin (YRB) holds immense ecological significance in China, but it is currently undergoing profound transformations in its ecosystem services (ESs). To formulate appropriate environmental policies, it is vital to gain a comprehensive understanding of the characteristics and influential factors driving the ESs' transformation in the YRB. The spatiotemporal dynamics in ESs was evaluated using the InVEST model, and the modes of the ESs' transformation were summarized. The elements impacting ESs' transformation and their interactions were assessed using the optimal parameter-based geographical detector (OPGD). Over the period from 1980 to 2020, the water yield within the YRB exhibited an upward trajectory, with a distinctive spatial pattern characterized by higher values in the southern and eastern regions, in contrast to lower values observed in the northern and western regions. Similarly, soil conservation demonstrated a tendency to rise over the duration of the research, with southern and western regions consistently exhibiting higher values compared to the northern and eastern regions. In contrast, habitat quality decreased over time and was accompanied by a progressive spatial decline from the southeast regions to the northwest regions. The ESs' transformation in the YRB from 1980 to 2020 indicated three modes: (1) simultaneous increases, this mode was characterized by concurrent increases in water yield and soil conservation; (2) increase and decrease, in this mode, there was an increase in soil conservation accompanied by a decrease in habitat quality; and (3) increase and deterioration, the third mode entailed an increase in water yield but a simultaneous deterioration in habitat quality. The 45-km grid was the best spatial scale for the analysis in this study. Over the span of 2000 through 2020, the ESs' transformation in the YRB was subject to the influence of natural environmental, geographic location-related, socioeconomic, and policy factors. The determinants of the spatiotemporal heterogeneity in ESs' transformation in the YRB demonstrated double-factor and nonlinear enhancement effects. The counterchange with the most significant effects on ESs' transformation were those between economic density and annual mean precipitation, annual mean temperature and ecological restoration, and the per capita income of urban residents and vegetation index.

Indexed as

EcosystemRiversChinaConservation of Natural ResourcesEnvironmental MonitoringSoilWaterSoilWaterDriving factorsEcosystem services (ESs)Spatiotemporal differentiationTransformation modeYellow River basin (YRB)

Identifiers

PMID38340175
OpenAlexW4391719038

What OpenQuestion holds

Textmetadata
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.