Assessment of Spatio-Temporal Dynamic Vegetation Evolution and Its Driving Mechanism on the Kubuqi Desert Using Multi-Source Satellite Remote Sensing DOI Creative Commons

Linjiang Nan,

Mingxiang Yang, Hejia Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4769 - 4769

Published: Dec. 21, 2024

Desert vegetation is undergoing complex and diverse changes due to global climate change human activities. To effectively utilize water resources promote ecological recovery in desert areas, it necessary clarify the main driving mechanisms of growth these regions. In this study, based on MODIS Landsat 8 remote sensing image data, before after diversion Kubuqi from 2001 2020 were quantitatively analyzed using multiple linear regression, random forest, support vector machine, deep neural network. The results show that average NDVI study area has increased 0.08 0.13 over past 20 years, year mutation corresponded with lowest precipitation, which occurred 2010. After diversion, under combined influence natural factors, steadily without any abrupt changes, indicating limiting factor for growth. also showed obvious spatial heterogeneity, among improvement southwest irrigation was most significant, above 0.1 an expanding trend, maximum value exceeded 0.4. This demonstrates moderate can reduce expand lake growth, yielding positive effects. integration machines, forests, network methods reveals indirectly informs future intervals. Overall, research provide a reliable reference efficient development projects have high application value.

Language: Английский

Impacts of climate factors and human activities on NDVI change in China DOI Creative Commons

Lina Tuoku,

Zhijian Wu,

Baohui Men

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102555 - 102555

Published: March 18, 2024

Vegetation plays a crucial role in terrestrial ecosystems, and there has been substantial shift global vegetation cover recent decades. China is recognized for its impact on changes, which are influenced by both climate change human activities. Therefore, this research aims to assess the respective influences of modification activities variations China. First, changes explored between 1982 2020 using satellite-image derived index, known as Normalized Difference Index (NDVI). Second, multiple regression model based time-lag analysis used simulate NDVI. In addition common climatic factors such temperature, precipitation, solar radiation intensity relative humidity, atmospheric CO2 concentration directly reflect considered model. Finally, influence variation alteration determined reconstructed Results: (1) Precipitation most important influences, while carbon dioxide humidity have least influence. (2) The simulation error before 2000 was 0.875%, considerably lower than after 2000. (3) After 2000, favorably affected recovery study area, with an average degree >30%.

Language: Английский

Citations

38
Quantifying the direct and indirect effects of terrain, climate and human activity on the spatial pattern of kNDVI-based vegetation growth: A case study from the Minjiang River Basin, Southeast China DOI Creative Commons

Zipeng Gu,

Xingwei Chen,

Weifang Ruan

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102493 - 102493

Published: Jan. 22, 2024

In the context of global change, it is vital to comprehensively understand spatial pattern and driving mechanism vegetation growth maintain stability watershed ecosystems. Previous research has focused mainly on identifying main drivers growth, while direct indirect effects climate, terrain, human activity have rarely been explored. This study used Minjiang River Basin (MRB), an important ecological barrier largest in southeastern China, as example. The kernel normalized difference index (kNDVI) was calculated Google Earth Engine (GEE) platform examine evolution characteristics growth. optimal parameter-based geographical detector (OPGD) partial least squares structural equation modeling (PLS-SEM) were analyze how influenced kNDVI. (1) From 2001 2020, MRB predominantly rated excellent or good, 88.93% area showed increasing trend (2) OPGD revealed that primary influencing distribution kNDVI included population density, nighttime light, elevation temperature, which explained >40% variation interaction all paired enhanced explanatory power kNDVI, among strongest between density elevation, second temperature. (3) PLS-SEM had a negative effect terrain climate positive Overall, total 0.594, 0.233 − 0.495, respectively, indicating outweighed MRB. These findings not only provide scientific evidence for conservation management but also offer useful reference other regions exploring complex causes patterns

Language: Английский

Citations

29
Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem DOI Creative Commons
Di Wei, Yunkai Li, Ziqi Zhang

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 308, P. 109306 - 109306

Published: Jan. 13, 2025

Language: Английский

Citations

1
<bold>2001~2023</bold>年中国植被持续变绿 DOI Open Access

善凯 尉,

湘怡 李,

锴 王

et al.

SCIENTIA SINICA Terrae, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Citations

0
Two decades of persistent greening in China despite 2023 climate extremes DOI
Wei Su, Xiangyi Li, Kai Wang

et al.

Science China Earth Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

0
The Role of Plant Evolutionary History in Shaping the Variation in Specific Leaf Area Across China DOI Creative Commons

Minyue Si,

Caiyi Zhang,

Chenyao Xiang

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Specific leaf area (SLA, per unit dry mass) occupies a central position in both community assembly and ecosystem functioning. Although SLA has significant phylogenetic signals, how to what extent the evolutionary history influences variation remain poorly understood. In this study, based on dataset containing 1264 plant species belonging 549 genera 141 families gymnosperms, monocots, eudicots across China, we analyzed of climatic conditions soil properties SLA, calculated signals quantified relative contributions (represented by interspecific relatedness intraspecific variation) SLA. The results showed that accounts for 50.46% total variance followed (36.12%), (30.68%), (24.74%). Along tree, split between angiosperms gymnosperms had largest contribution Other detailed splits (e.g., monocots eudicots, within Rosidae, etc.) but much smaller contributions. relationship environmental variables (climatic properties) was different with having larger than properties, implying interactive effects environment Within woody angiosperms, deciduous evergreen exhibited differential responses factors, suggesting non‐negligible role longevity explaining Our highlighted more important previous studies. Neglecting such great could lead biased conclusions if rate does not keep pace rapidly changing environments future.

Language: Английский

Citations

0
Spatiotemporal Evolution and Driving Mechanism of Fractional Vegetation Coverage in the Yangtze River Delta DOI Creative Commons
Xueru Tian, Zui Tao, Yong Xie

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 10979 - 10997

Published: Jan. 1, 2024

An in-depth exploration of fractional vegetation coverage (FVC) changes and driving mechanisms in the Yangtze River Delta (YRD) is crucial for maintaining regional ecological health achieving sustainable development. We therefore calculate FVC YRD from 2012 to 2021 based on MODIS NDVI data, analyze its spatiotemporal evolution. Multiple regression residual analysis geographic detector model were used along with various auxiliary data further explore a hierarchical manner. Finally, Hurst index was forecast future trends FVC. The results show that: (1) Significant occurred around 2016, rapidly declining at rate 8.9×10 -3 xmlns:xlink="http://www.w3.org/1999/xlink">-1 followed by fluctuating growth 5.2×10 thereafter. (2) Although overall development tends toward stability, fluctuation pronounced Taihu Lake Basin. Improvement areas mainly concentrated both sides central part southern mountainous region. Degraded cities north Huai River. (3) Dynamic primarily driven combination climate human activities, whereas spatial heterogeneity factors such as elevation, slope, landform type. improvement explanatory power anthropogenic when combined natural significant.

Language: Английский

Citations

3
Spatiotemporal variation pattern and spatial coupling relationship between NDVI and LST in Mu Us Sandy Land DOI Creative Commons
Liangyan Yang,

Lei Shi,

Juan Li

et al.

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract Normalized difference vegetation index (NDVI) and land surface temperature (LST) are important indicators of ecological changes, their spatial temporal variations coupling can provide a theoretical basis for the sustainable development environment. Based on MOD13A1 MOD11A2 datasets, distribution characteristics NDVI LST from 2000 to 2020 were analyzed, trend change slope method model used calculate significant changes. Finally, was degree between LST. The study shows that: (1) From 2020, annual value Mu Us Sandy Land 0.25 0.43, showing stable upward overall, with an increase rate 0.074/(10a). proportion improvement areas in area is 81.48%. (2) There differences Land, overall decreasing northwest southeast higher west than east. greatly affected by changes use types. spatiotemporal variation different gradual warming global climate change. main reason that human activities have changed types increased local coverage. (3) negative correlation R 2 0.5073 passing significance test at 0.01 level. This indicates engineering policies effectively reduce area, thereby achieving effect improving very high level, average 0.895 area. two mainly exhibit state mutual antagonism space, reflecting importance green regulating regional result joint influence change, dominated 2020.

Language: Английский

Citations

3
Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China DOI Creative Commons
Yanan Sun,

Huayu Zhong,

Yibo Ding

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(1), P. 188 - 188

Published: Jan. 15, 2024

Owing to limited research on the interactions between cropland vegetation and climate irrigation, this study used normalized difference index (NDVI) as a indicator describe dynamics. Potential evapotranspiration (PET) was calculated using Penman–Monteith equation. A partial correlation analysis Pearson coefficient were determine spatial response mechanisms of different climatic factors irrigation in China for period 1985–2015. The results show that (precipitation, PET, water deficits) display positive correlations with China. stronger observed meteorological northern compared southern parts; time NDVI values croplands precipitation be short-term (1 3 months) long-term (3 6 regions, respectively. In contrast, PET displayed complex heterogeneity. Most areas highest potential crop yields located eastern part China; these also require higher levels which benefits yields. This can provide better understanding agricultural ecosystems formulate strategies food security.

Language: Английский

Citations

2
Changes in built‐up land along slope gradients and their effects on vegetation in the Three Gorges Reservoir Area DOI
Haozhe Zhang, Qingyuan Yang,

Qiang Tang

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(7), P. 2614 - 2634

Published: March 21, 2024

Abstract Built‐up land changes along slope gradients (BCSG) are widespread globally, driven by natural environmental and socio‐economic variations. This process has profound effects on vegetation cover is closely related to the United Nations Sustainable Development Goals. However, mechanisms involved in BCSG remain be elucidated, impacts of need quantified. The from 1990 2020 was described through spectrum analysis taking Three Gorges Reservoir Area (TGRA) as an example. Then, Normalized Difference Vegetation Index (NDVI) used indicator cover, its influence explored a multiple linear regression model. built‐up TGRA first dominated climbing (SC) then horizontal expansion, intensity SC showed general trend weakening over time. During 30 years, weakened strengthened townships with mainly intermountain plains, while gradually decreasing hills mountains. Socio‐economic factors, regional special events drive TGRA. will have negative impact NDVI but progressively lesser degree 2020. mountains effect NDVI. plains positive These results can provide scientific basis for formulating reasonable vertical management policies help reduce ecological risks caused development.

Language: Английский

Citations

2