Evidence map›Paper›PMID 39204862›Full record

ArticleSensors (Basel, Switzerland)2024

Spatiotemporal Evolution and Spatial Analysis of Ecological Environmental Quality in the Longyangxia to Lijiaxia Basin in China Based on GEE.

Zhe Zhou, Huatan Li, Xiasong Hu, Changyi Liu, Jimei Zhao, Guangyan Xing, Jiangtao Fu, Haijing Lu, Haochuan Lei

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhe ZhouSchool of Geological Engineering, Qinghai University, Xining 810016, China.ORCID 0009-0006-6451-9719
Huatan LiSchool of Water Resources and Civil Engineering, Qinghai University, Xining 810016, China.ORCID 0009-0002-5481-3077
Xiasong HuSchool of Geological Engineering, Qinghai University, Xining 810016, China.
Changyi LiuSchool of Geological Engineering, Qinghai University, Xining 810016, China.
Jimei ZhaoCollege of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China.
Guangyan XingCollege of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China.
Jiangtao FuAcademy of Agricultural and Forestry Sciences, Qinghai University, Xining 810016, China.
Haijing LuCollege of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China.
Haochuan LeiSchool of Geological Engineering, Qinghai University, Xining 810016, China.

Funding

Natural Science Foundation of Qinghai Province 2020-ZJ-906the National Natural Science Foundation of China 42041006
6 · The paper itself

Abstract

The upper reaches of the Yellow River are critical ecological barriers within the Yellow River Basin (YRB) that are crucial for source conservation. However, environmental challenges in this area, from Longyangxia to Lijiaxia, have emerged in recent years. To assess the ecological environment quality (EEQ) evolution from 1991 to 2021, we utilized remote sensing ecological indices (RSEIs) on the Google Earth Engine (GEE) platform. Spatial autocorrelation and heterogeneity impacting EEQ changes were examined. The results of this study show that the mean value of the RSEIs fluctuated over time (1991: 0.70, 1996: 0.77, 2001: 0.67, 2006: 0.71, 2011: 0.68, 2016: 0.65, and 2021: 0.66) showing an upward, downward, and then upward trend. The mean values of the overall RSEI are all at 0.65 and above. Most regions showed no significant EEQ change during 1991-2021 (68.59%, 59.23%, and 55.78%, respectively). Global Moran's I values (1991-2021) ranged from 0.627 to 0.412, indicating significant positive correlation between EEQ and spatial clustering, and the LISA clustering map (1991-2021) shows that the area near Longyangxia Reservoir shows a pattern of aggregation, dispersion, and then aggregation again. The factor detection results showed that heat was the most influential factor, and the interaction detection results showed that greenness and heat had a significant effect on regional ecosystem distribution. Our study integrates spatial autocorrelation and spatial heterogeneity and combines them with reality to provide an in-depth discussion and analysis of the Longyangxia to Lijiaxia Basin. These findings offer guidance for ecological governance, vegetation restoration, monitoring, and safeguarding the upper Yellow River's ecological integrity.

Indexed as

ecological environment quality (EEQ)Google Earth Engine (GEE)Longyangxia to Lijiaxia Basinsynthesis of GeoDetector and spatial autocorrelation analysisupper reaches of the Yellow River

Identifiers

PMID39204862
PMCPMC11359660

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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.