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

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102555 - 102555

Опубликована: Март 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%.

Язык: Английский

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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

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102493 - 102493

Опубликована: Янв. 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

Язык: Английский

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Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem

Agricultural Water Management, Год журнала: 2025, Номер 308, С. 109306 - 109306

Опубликована: Янв. 13, 2025

Язык: Английский

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<bold>2001~2023</bold>年中国植被持续变绿

SCIENTIA SINICA Terrae, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

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Two decades of persistent greening in China despite 2023 climate extremes

Science China Earth Sciences, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Язык: Английский

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The Role of Plant Evolutionary History in Shaping the Variation in Specific Leaf Area Across China

Ecology and Evolution, Год журнала: 2025, Номер 15(4)

Опубликована: Апрель 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.

Язык: Английский

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Spatiotemporal Evolution and Driving Mechanism of Fractional Vegetation Coverage in the Yangtze River Delta

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2024, Номер 17, С. 10979 - 10997

Опубликована: Янв. 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.

Язык: Английский

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Spatiotemporal variation pattern and spatial coupling relationship between NDVI and LST in Mu Us Sandy Land

Open Geosciences, Год журнала: 2024, Номер 16(1)

Опубликована: Янв. 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.

Язык: Английский

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Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China

Agronomy, Год журнала: 2024, Номер 14(1), С. 188 - 188

Опубликована: Янв. 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.

Язык: Английский

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Changes in built‐up land along slope gradients and their effects on vegetation in the Three Gorges Reservoir Area

Land Degradation and Development, Год журнала: 2024, Номер 35(7), С. 2614 - 2634

Опубликована: Март 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.

Язык: Английский

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