Response of Vegetation Dynamics in the Three-North Region of China to Climate and Human Activities from 1982 to 2018

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3073 - 3073

Published: Feb. 8, 2023

To tackle ecological problems, many restoration projects have been implemented in northern China. Identifying the drivers of vegetation change is critical for continued engineering. In this study, three typical reserves Three-North Shelter Forest Program Region (TNSFR) were selected to identify their development characteristics and driving mechanisms using normalized difference index (NDVI), climate factors, land use data. The results show that (1) NDVIs increased range human activities all reserves, indicating an obvious effect projects. (2) planting period, was mainly correlated with activities. After entering tending impact changes on dynamics enhanced. (3) Temperature precipitation provided approximate effects I, while Regions II III more strongly precipitation. (4) proportion areas measures exceeded 50% regions. short, dominated quantity restoration, influenced quality restoration.

Language: Английский

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Monitoring Spatiotemporal Vegetation Response to Drought Using Remote Sensing Data

Sensors, Journal Year: 2023, Volume and Issue: 23(4), P. 2134 - 2134

Published: Feb. 14, 2023

Environmental factors such as drought significantly influence vegetation growth, coverage, and ecosystem functions. Hence, monitoring the spatiotemporal responses to in a high temporal adequate spatial resolution is essential, mainly at local scale. This study was conducted investigate aspatial relationships between growth status southeastern South Dakota, USA. For this purpose, Landsat 8 OLI images from months of April through September for years 2016-2021, with cloud cover less than 10%, were acquired. After that, radiometric calibration atmospheric correction performed on all images. Some spectral indices calculated using Band Math toolbox ENVI 5.3 (Environment Visualizing Images v. 5.3). In present study, extracted Normalized Difference Vegetation Index (NDVI) Multiband Drought (NMDI). The results showed that NDVI values month July different maximum value mostly pixels. Based statistical criteria, best regression models explaining relationship NMDISoil polynomial order 2 2016 2019 linear 2021. developed accounted 96.7, 95.7, 96.2, 88.4, 32.2% changes 2016, 2017, 2018, 2019, 2021, respectively. However, there no defined trend observed 2020. addition, pixel-by-pixel analyses impacted 69.6% pixels negatively correlated NDVI. It concluded satellite have potential information studying drought, which primary step site-specific management.

Language: Английский

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Analysis of Vegetation Cover Change in the Geomorphic Zoning of the Han River Basin Based on Sustainable Development

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(20), P. 4916 - 4916

Published: Oct. 11, 2023

The Han River Basin, a critical water conservation and ecological barrier in Hubei Province, is intricately associated with the United Nations Sustainable Development Goals (SDGs). Research results show that vegetation cover changes are affected by multiple factors, understanding influences of climate change human activities on imperative for achieving sustainable development basin. Through quantitative assessment diverse landform regions, implementing adaptive construction environmental protection will foster civilization Basin. This study utilizes MODIS13Q1 data employs analytical methods to investigate characteristics interrelationships between change, meteorological various geomorphological areas Basin from 2000 2020. showed (1) throughout entire period, NDVI six types divisions exhibited fluctuating upward trend, low-altitude hilly geomorphic regions being particularly noteworthy. (2) Within area, approximately 92.67% coverage displayed an increasing while 7.33% degradation, predominantly plains platforms. Notably, area continuous improvement (31.16%) outweighed degradation (3.05%), low middle-relief mountain demonstrating most robust growth sustainability. (3) Human agriculture urbanization processes have emerged as primary driving force behind responses significant variations across regions. In characterized improvement, contribution rate different surpassed 70%, plain displaying highest at remarkable 90%. contrast, platform were significantly influenced change. future watershed environment management, it essential not only recognize dominant role promoting but also address impact A comprehensive these factors crucial devising effective strategies ensure balance

Language: Английский

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Gradient diffusion entropy corrected ALNS optimization for vegetation topology interaction networks

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113044 - 113044

Published: Jan. 1, 2025

Language: Английский

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Spatial and Temporal Variation Characteristics of Vegetation Cover in the Tarim River Basin, China, and Analysis of the Driving Factors

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1414 - 1414

Published: Feb. 9, 2025

The Tarim River Basin (TRB) in Northwest China has an extremely fragile ecological environment that is highly sensitive to climate change. Understanding the long-term change dynamics of vegetation coverage this arid zone critically important for predicting future trends as well improving regional protection and soil water conservation measures. Based on NDVI data from 2000 2022, a temporal spatial analysis TRB carried out using pixel dichotomy model, Sen trend analysis, MK test, Hurst index, correlation analysis. results reveal following: (1) shows fluctuating increasing trend, with decreases low areas increases high medium areas. Extremely accounts 46.89% study area. (2) Throughout 23-year period, cover essentially remains stable. proportion improved area greater than degraded area, accounting 66.49% 27.93%, respectively, there significant fluctuation variation, 29.99%. Further, variation vulnerability. continuous improvement 31.64%, which larger degradation (27.17%), uncertainty 41.18%, strongly random. (3) distance between land use closest river main limiting factor five studied sub-regions TRB. highest explanatory power combined precipitation 0.723. With Q value above 0.6, interaction type natural factors (e.g., temperature, precipitation, evapotranspiration, river, etc.) significant. This helpful predict TRB, provides scientific basis protection, conservation, planning.

Language: Английский

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Terrestrial carbon uptake response to altered temperature and precipitation based on land surface model: A case study in Guizhou province, China

Progress in Physical Geography Earth and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

In the context of climate change, climatic factors in environment which vegetation grows have changed significantly, with profound effects on terrestrial carbon uptake process photosynthesis. The total amount absorbed by photosynthesis is known as uptake, that is, primary productivity (GPP). It great significance to clarify and analyze characteristics GPP changes response temperature precipitation order actively respond change. This study proposes an integrated modeling approach assess impacts uptake. Firstly, degree influence was analyzed. After analyzing historical trends precipitation, we used a land surface model simulate under range projected warming scenarios. found temperature, longwave radiation, shortwave wind speed affected 40.13%, contributed 16.61% 8.04% GPP. Over last 20 years, both showing increasing trend. As increased, showed decreasing trend from April September, while January March October December. For every 0.1°C increase forests decreased 1.68 gC/m 2 , grasslands least affected, resulting 1.01 decrease grasslands. Changes had greatest effect grass, 10% grass 6.44 impervious surfaces, 2.42 . research contributes understanding predicting impact change growth southwestern China.

Language: Английский

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Aggravated forest fragmentation undermines productivity stability and amplifies climate impact

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

African tropical forests have undergone extensive fragmentation, with an increasing proportion of previously intact now influenced by edge effects. It has become a pressing necessity to develop comprehensible index assess forest fragmentation and its interplay climate factors influencing ecosystem productivity (FEP). Using high-resolution cover maps, we developed Forest Fragmentation Gradient Index (FFGI), novel metric derived from two-dimensional framework incorporating landscape configuration edge-to-interior gradient distance. Results reveal that 2000 2023, 76.03% exhibited increased particularly in Central Africa the Congo region. Statistical analysis FEP under different levels shows low are more conducive accumulation, indicated kNDVI values 0.617 ± 0.118 0.669 0.102 2023. With increase static interaction temperature variation wind speed explain gradually increased. Over past 20 years, addition, corresponding degree effects variations radiation coupling on all show trend. Furthermore, as dynamic FFGI (ΔFFGI) intensified, stability progressively declined. Thus, curbing further moderately restoring afforestation imperative for sustaining mitigating change impacts.

Language: Английский

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Analysis of Temporal and Spatial Changes in Ecological Environment Quality on Changxing Island Using an Optimized Remote Sensing Ecological Index

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1791 - 1791

Published: March 13, 2025

In light of global climate change and accelerated urbanization, preserving restoring island ecosystems has become critically important. This study focuses on Changxing Island in Dalian, China, evaluating the quality its ecological environment. The research aims to quantify changes since 2000, with an emphasis land use transformations, coastline evolution, driving factors behind these changes. Using Google Earth Engine (GEE) platform remote sensing technology, index (IRSEI) was developed. development IRSEI grounded several key parameters, including normalized difference vegetation (NDVI), wetness (WET), surface temperature (LST), multiband drought stress (M-NDBSI), intensity (LUI). results show that, 2002, types have undergone significant changes, a notable decrease arable increase built-up areas, reflecting ongoing urbanization process. With respect total length steadily increased from 2002 2022, average annual growth rate 2.15 km. driven mainly by reclamation infrastructure construction. analysis further revealed clear deterioration environment during period. proportion excellent area decreased 39.3% 8.89% whereas areas classified as poor very 56.23 km2 129.84 km2, both which set new historical records. These findings suggest intensify, ecosystem is at risk degradation. optimized effectively captured island, improved long-term stability index, adequately met requirements for large-scale monitoring.

Language: Английский

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Satellite-Derived Spatiotemporal Dynamics of Vegetation Cover and Its Driving Factors in the Three-River Headwaters Region from 2001 to 2022

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1187 - 1187

Published: March 27, 2025

To preserve ecological integrity and promote sustainable progress in the Three-River Headwaters Region (TRHR), it is vital to understand vegetation alteration patterns sensitivity of these climatic anthropogenic influences. In this study, we retrieved fractional cover (FVC) through dimidiate pixel model, driven by MODIS reflectance data from 2001 2022, analyzed its spatiotemporal variations responses climate variation human activities via partial correlation residual analyses. The results indicated that FVC retrieval accuracy reached 84.2%. From growing season displayed a fluctuating yet overall increasing trend, with an average growth rate 0.23% per year (p < 0.01). significantly improved 50.72% TRHR, Yellow River source area exhibiting most notable improvement. However, 67.42% TRHR experienced transition improvement degradation vegetation, indicating pessimistic outlook for future changes. Partial analysis revealed temperature had pronounced influence on southwestern Basin southern Yangtze Basin, whereas precipitation substantial effect northeastern sections Basin. Additionally, change served as predominant factor behind changes FVC, intervention contributed substantially improvements western portions Our study provides scientific support construction security barriers harmonious development humans nature TRHR.

Language: Английский

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Water security in the Qinling Mountains: current status, climate and human influences, and adaptive strategies

International Journal of Water Resources Development, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 30

Published: March 27, 2025

This study comprehensively examines the integrated impacts of climate change and human activities on regional water security in around Qinling Mountains, China. Key findings highlight pronounced disparities resource availability quality between northern Guanzhong Basin southern Hanjiang River Basin, exacerbated by rising temperatures, altered precipitation patterns intensified interventions. An strategic framework to ensure sustainable management risk mitigation was proposed, which offers a structured approach enhancing ecological resilience preserving essential resources, while reconciling preservation with socioeconomic development sensitive mountain regions.

Language: Английский

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