Issues, Progress, and Recommendations in the Construction of Ecological Barrier on the Mongolian Plateau from the Perspective of Big Data DOI Creative Commons
Juanle Wang, Kai Li,

Xu Shuxing

et al.

Journal of Resources and Ecology, Journal Year: 2024, Volume and Issue: 15(5)

Published: Oct. 14, 2024

The Mongolian Plateau (MP), situated in the transitional zone between Siberian taiga and arid grasslands of Central Asia, plays a significant role as an Ecological Barrier (EB) with crucial implications for ecological resource security Northeast Asia. EB is vast concept complex issue related to many aspects such water, land, air, vegetation, animals, people, et al. It very difficult understand whole without comprehensive perspective, that traditional diverse studies cannot cover. Big data artificial intelligence (AI) have enabled shift research paradigm. Faced these requirements, this study identified issues construction on MP from big perspective. This includes issues, progress, future recommendations construction-related using AI. Current cover status theoretical studies, technical bottlenecks, insufficient synergistic analyses construction. Research progress introduces advances scientific driven by three key areas MP: natural resources, environment, sustainable development. For development MP, it recommended utilize intelligent computing technologies, integrate extensive regional develop precise algorithms automated tools, construct collaborative innovation platform. aims call more attention AI applications thereby supporting achievement goals enhancing paradigm transforming fields resources environment.

Language: Английский

Changes in Vegetation NDVI and Its Response to Climate Change and Human Activities in the Ferghana Basin from 1982 to 2015 DOI Creative Commons
Heli Zhang, Lu Li, Xiaoen Zhao

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(7), P. 1296 - 1296

Published: April 6, 2024

Exploring the evolution of vegetation cover and its drivers in Ferghana Basin helps to understand current ecological status analyze changes drivers, with a view providing scientific basis for regional environmental management planning. Based on GIMMS NDVI3g meteorological data, spatial temporal characteristics NDVI were analyzed from multiple perspectives help linear trend Mann–Kendall (MK) test methods using arcgis R language analysis module, combined partial correlation coefficients residual impacts climate change human activities 1982 2015. driving forces. The results showed following: (1) growing season an increasing 34-year period, increase rate 0.0044/10a, distribution was significantly different, which high central part country low northern southern parts country. (2) Temperature precipitation simultaneously co-influenced growth season, most temperature contributing spring, summer being negatively phased positively correlated, fall inhibiting growth. (3) effect main reason overall rapid great variations China, namely change, contributed 44.6% season. contribution 62.32% 93.29%, respectively. study suggests that more attention should be paid role restoration inform ecosystem green development.

Language: Английский

Citations

15
Impact of urban greenspace on the urban thermal environment: A case study of Shenzhen, China DOI
Yu Bai,

Weimin Wang,

Menghang Liu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105591 - 105591

Published: June 27, 2024

Language: Английский

Citations

10
Investigating the temporal lag and accumulation effect of climatic factors on vegetation photosynthetic activity over subtropical China DOI Creative Commons

Juanzhu Liang,

Xueyang Han,

Yuke Zhou

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112406 - 112406

Published: July 27, 2024

Monitoring vegetation photosynthesis in China's subtropical regions using remote sensing is challenging because of the complex ecosystems and climate variability. Previous studies often pay less attention on influence multiple climatic factors temporal effects (lag accumulation) photosynthesis, thereby underestimating their impact. This study utilizes a dataset comprising Solar-induced chlorophyll fluorescence (SIF) data (GOSIF product), MODIS Land Cover product (MCD12C1), various variables. Analytical methods including Theil-Sen Median trend analysis, Mann-Kendall test, partial correlation optimal parameter-based geographical detector (OPGD) model were employed to explore dynamics SIF responses identify drivers China. The findings indicate that (1) as indicated by SIF, exhibited an increasing majority Chinese regions, which constitute over 80 % area, with particularly pronounced enhancements southern central western parts subtropics. (2) Soil moisture primarily exhibits lag evergreen needleleaf forests, deciduous broadleaf mixed whereas temperature does not exhibit significant effects. Solar radiation vapor pressure deficits impact through both accumulation Under effects, proportion correlations between increases 36.71 ∼ 43.8 %, excluding temperature. (3) Temperature dominant factor affecting forest. Interactions have significantly stronger than individual factors. Notably, explanatory power deficit substantially when it interacts other Studying aids accurately predicting change, improving accuracy global carbon cycle models guiding development sequestration management strategies.

Language: Английский

Citations

3
Spatiotemporal patterns and driving factors of urban-rural water use from the production and domestic perspectives: A case study of Beijing-Tianjin-Hebei urban agglomeration, China DOI
Menghang Liu, Chuanglin Fang,

Yu Bai

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105768 - 105768

Published: Aug. 24, 2024

Language: Английский

Citations

3
Dynamic response of vegetation to meteorological drought and driving mechanisms in Mongolian Plateau DOI

Shuhui Gao,

Shengzhi Huang,

Vijay P. Singh

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132541 - 132541

Published: Dec. 1, 2024

Language: Английский

Citations

3
Diverse responses of surface biogeophysical parameters to accelerated development and senescence of vegetation on the Mongolian Plateau DOI
Yu Bai, Menghang Liu, Junxiong Zhou

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 943, P. 173727 - 173727

Published: June 3, 2024

Language: Английский

Citations

1
Quantification of Urban Greenspace in Shenzhen Based on Remote Sensing Data DOI Creative Commons
Yu Bai, Menghang Liu,

Weimin Wang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(20), P. 4957 - 4957

Published: Oct. 13, 2023

Rapid urbanization has led to the expansion of Shenzhen’s built-up land and a substantial reduction in urban greenspace (UG). However, changes UG Shenzhen are not well understood. Here, we utilized long-time-series cover data Normalized Difference Vegetation Index (NDVI) as proxy for quality systematically analyze spatio-temporal pattern exposure inequality Shenzhen. The results indicate that area been decreasing over years, although rate decrease slowed recent years. NDVI trend exhibited some seasonal variations, with noticeable spring, particularly eastern part Greenspace gradually increased from west east, Dapeng Pingshan having highest regardless season. Over past two decades, decreased during periods construction Shenzhen, fastest spring slowest summer. These findings provide scientific basis better understanding current status promote healthy development city. Additionally, this study provides evidence insights relevant decision-making institutions.

Language: Английский

Citations

3
Investigating the Temporal Lag and Accumulation Effect of Climatic Factors on Vegetation Photosynthetic Activity Over Subtropical China DOI

Juanzhu Liang,

Xuayang Han,

Yuke Zhou

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
A Study on the Differences in Vegetation Phenological Characteristics and Their Effects on Water–Carbon Coupling in the Huang-Huai-Hai and Yangtze River Basins, China DOI Open Access

Shuying Han,

Jiaqi Zhai,

Mengyang Ma

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6245 - 6245

Published: July 22, 2024

Vegetation phenology is a biological factor that directly or indirectly affects the dynamic equilibrium between water and carbon fluxes in ecosystems. Quantitative evaluations of regulatory mechanisms vegetation on water–carbon coupling are great significance for neutrality sustainable development. In this study, interannual variation partial correlation (the start growing season (SOS), end (EOS), length (LOS)) ET (evapotranspiration), GPP (gross primary productivity), WUE (water use efficiency; index) Huang-Huai-Hai Yangtze River Basins China from 2001 to 2019 were systematically quantified. The response patterns spring (autumn) SOS, EOS, LOS, as well interpretation rate changes, evaluated. Further analysis was conducted differences across different river basins. results showed during growth season, greatly influenced by phenology. Due increases caused extending For example, an extended LOS basins reduced WUE, while Basin, it increased WUE. After 1 day, 3.01–4.79 mm 4.22–6.07 gC/m2, respectively, decreased 0.002–0.008 gC/kgH2O. indicates compared ET, early SOS (longer LOS) Yellow Hai led greater increase GPP, therefore weakening This suggests phenological changes may ineffective arid, semi-arid, semi-humid areas further exacerbate drought. humid dominated improved local efficiency.

Language: Английский

Citations

0
Issues, Progress, and Recommendations in the Construction of Ecological Barrier on the Mongolian Plateau from the Perspective of Big Data DOI Creative Commons
Juanle Wang, Kai Li,

Xu Shuxing

et al.

Journal of Resources and Ecology, Journal Year: 2024, Volume and Issue: 15(5)

Published: Oct. 14, 2024

The Mongolian Plateau (MP), situated in the transitional zone between Siberian taiga and arid grasslands of Central Asia, plays a significant role as an Ecological Barrier (EB) with crucial implications for ecological resource security Northeast Asia. EB is vast concept complex issue related to many aspects such water, land, air, vegetation, animals, people, et al. It very difficult understand whole without comprehensive perspective, that traditional diverse studies cannot cover. Big data artificial intelligence (AI) have enabled shift research paradigm. Faced these requirements, this study identified issues construction on MP from big perspective. This includes issues, progress, future recommendations construction-related using AI. Current cover status theoretical studies, technical bottlenecks, insufficient synergistic analyses construction. Research progress introduces advances scientific driven by three key areas MP: natural resources, environment, sustainable development. For development MP, it recommended utilize intelligent computing technologies, integrate extensive regional develop precise algorithms automated tools, construct collaborative innovation platform. aims call more attention AI applications thereby supporting achievement goals enhancing paradigm transforming fields resources environment.

Language: Английский

Citations

0