Assessing Spatiotemporal Dynamics of Net Primary Productivity in Shandong Province, China (2001–2020) Using the CASA Model and Google Earth Engine: Trends, Patterns, and Driving Factors

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 488 - 488

Published: Jan. 30, 2025

Net primary productivity (NPP) is a core ecological indicator within terrestrial ecosystems, representing the potential of vegetation growth to offset anthropogenic carbon emissions. Thus, assessing NPP in given region crucial for promoting regional restoration and sustainable development. This study utilized CASA model GEE calculate annual average Shandong Province (2001–2020). Through trend analysis, Moran’s Index, PLS−SEM, spatiotemporal evolution driving factors were explored. The results show that: (1) From 2001 2020, showed an overall increasing trend, rising from 254.96 322.49 g C·m⁻2/year. shift was accompanied by gradual eastward movement centroid, indicating significant spatial changes productivity. (2) Regionally, 47.9% experienced improvement, 27.6% saw slight 20.1% exhibited degradation, highlighting notable heterogeneity. (3) Driver analysis that climatic positively influenced across all four periods (2005, 2010, 2015, 2020), with strongest impact 2015 (coefficient = 0.643). Topographic such as elevation slope also had positive effects, peaking at 0.304 2015. In contrast, human activities, especially GDP nighttime light intensity, negatively impacted NPP, negative effect 2010 −0.567). These findings provide valuable scientific evidence ecosystem management offer key insights development strategies national level.

Language: Английский

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Change of NDVI in the Upper Reaches of the Yangtze River and Its Influence on the Water–Sand Process in the Three Gorges Reservoir

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 739 - 739

Published: Jan. 18, 2025

Vegetation coverage in the upper reaches of Yangtze River is very important to ecological balance this area, and it also has an impact on inflow runoff sediment transport processes Three Gorges Reservoir. Based normalized vegetation index data (NDVI) with 250 m resolution River, annual runoff, transport, land use, meteorology, other data—and by using methods Sen + Mann–Kendall trend analysis, partial correlation Hurst index—this paper analyzes temporal spatial variation characteristics, driving factors, influence water Reservoir each sub-basin River. The results show that (1) NDVI showed a fluctuating upward from 2001 2022, overall cover continued increase, showing pattern low west high east. At same time, volume did not significant 2006 while sand decreased significantly; (2) Among NDVI-influencing factors area driven use factor accounts for about 43% whole study followed precipitation; (3) Precipitation significantly affected was negatively correlated most watersheds, suggesting improved could help reduce loss. In addition, future change predicted be dominated improvement (Hurst > 0.5) based index, which will provide reference prediction

Language: Английский

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Evolution and Spatiotemporal Response of Ecological Environment Quality to Human Activities and Climate: Case Study of Hunan Province, China

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2380 - 2380

Published: June 28, 2024

Human beings are facing increasingly serious threats to the ecological environment with industrial development and urban expansion. The changes in environmental quality (EEQ) their driving factors attracting increased attention. As such, simple effective monitoring processes must be developed help protect environment. Based on RSEI, we improved data dimensionality reduction method using coefficient of variation method, constructing RSEI-v Landsat MODIS data. RSEI-v, quantitatively monitored characteristics EEQ Hunan Province, China, its spatiotemporal response human activities climate factors. results show following: (1) RSEI perform similarly characterizing quality. calculated is a positive indicator EEQ, but not. (2) high values concentrated eastern western mountainous areas, whereas low central plains. (3) A total 49.40% area was experiencing substantial areas significant decreases (accounting for 2.42% area) were vicinity various cities, especially Changsha–Zhuzhou–Xiangtan agglomeration. increases 16.97% forests. (4) decreases, accounting more than 60% area, mainly affected by activities. surrounding Changsha Hengyang experienced noteworthy EEQ. where precipitation temperature areas. This study provides valuable reference protection.

Language: Английский

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Spatiotemporal Distribution of the Impact of Climate Change and Human Activities on NDVI in China

Problemy Ekorozwoju, Journal Year: 2025, Volume and Issue: 20(1), P. 174 - 189

Published: Jan. 10, 2025

The Normalized Difference Vegetation Index (NDVI) is a vital metric for assessing surface vegetation cover and productivity, plays significant role in monitoring environmental changes ecological health. This study utilizes the Geographically Weighted Temporal Regression (GTWR) model high-resolution remote sensing data to analyze NDVI fluctuations across mainland China from 2001 2020. objectives are elucidate mechanisms by which climate change human activities influence dynamics. main findings as follows: (1) significantly correlated with climatic factors such precipitation, sunlight duration, average temperature. These correlations reveal how conditions affect (2) Human activities, particularly urban expansion, also impact changes. highlights these contribute variations productivity. (3) analysis identifies distinct regional seasonal patterns changes, demonstrating spatiotemporal heterogeneity China. (4) results enhance scientific understanding of trends provide basis developing targeted protection measures sustainable development policies.

Language: Английский

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Analysis of agricultural land condition in Western Kazakhstan from 1991 to 2023: the impact of climate change

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 24, 2025

Language: Английский

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Research Trends in Vegetation Spatiotemporal Dynamics and Driving Forces: A Bibliometric Analysis (1987–2024)

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 588 - 588

Published: March 28, 2025

Under the dual pressures of climate change and rapid urbanization, a comprehensive analysis vegetation’s spatiotemporal patterns their driving forces plays pivotal role for addressing global ecological challenges. However, systematic bibliometric analyses in this field remain limited. This study involved 18,270 related publications from 1989 to 2024 retrieved Web Science SCI-Expanded database, elucidating research trends, methodologies, key thematic areas. Utilizing bibliometrix biblioshiny tools, results reveal an annual average growth rate 17.62% number published articles, indicating expansion. Climate emerged as core force, with high-frequency keywords such “vegetation”, “dynamics”, “variability”. China (18,687 papers), United States (14,502 Germany (3394 papers) are leading contributors domain, showing fastest output, albeit relatively lower citation rates. Core journals, including Remote Sensing Environment Global Change Biology, have played roles advancing vegetation dynamics research, remote sensing techniques dominating field. The highlights shift single-variable (e.g., temperature, precipitation) multi-scale multidimensional approaches around 2010. Regional studies, those focusing on Loess Plateau, gaining importance, while advancements machine learning technologies enhanced precision scalability research. provides summary current state development trends forces, offering valuable insights future

Language: Английский

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22-year dynamic analysis of vegetation cover in karst area: a case study in Guangxi, China

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: June 3, 2025

Language: Английский

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Response of Vegetation Coverage to Climate Drivers in the Min-Jiang River Basin along the Eastern Margin of the Tibetan Plat-Eau, 2000–2022

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1093 - 1093

Published: June 24, 2024

Ecological zonation research is typically conducted in the eastern margin of Tibetan Plateau. In order to enhance structure and function regional ecosystems monitor their quality, it crucial investigate shifts coverage vegetation factors that contribute these shifts. The goal this study assess spatial temporal variations covering partitioning its drivers Minjiang River Basin on edge Plateau between 2000 2022. Mann-Kendall test, Hurst index, Theil-Sen median trend analysis, other techniques were used look at features geographical changes as well potential development trends. climatic influences leading differentiation NDVI (Normalized Difference Vegetation Index) quantified through partial complex correlation analyses with temperature precipitation. results showed (1) watershed performed a stable upward trend, indicating growth was generally good; (2) analysis coefficient variation reached 0.092, which highlighted stability change region; (3) future low, there certain degree ecological risk; (4) main driver non-climate factor, distributed most parts watershed; (5) climate shows localized influence, especially concentrated southwest, downstream part upstream areas watershed.

Language: Английский

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Analysis of Spatiotemporal Evolution and Driving Forces of Vegetation from 2001 to 2020: A Case Study of Shandong Province, China

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1245 - 1245

Published: July 17, 2024

As global climate change intensifies and human activities escalate, changes in vegetation cover, an important ecological indicator, hold significant implications for ecosystem protection management. Shandong Province, a critical agricultural economic zone China, experiences that crucially affect regional regulation biodiversity conservation. This study employed normalized difference index (NDVI) data, combined with climatic, topographic, anthropogenic activity utilizing trend analysis methods, partial correlation analysis, Geodetector to comprehensively analyze the spatiotemporal variations primary driving factors of cover Province from 2001 2020. The findings indicate overall upward particularly areas concentrated activities. Climatic factors, such as precipitation temperature, exhibit positive growth, while land use emerge one key drivers influencing dynamics. Additionally, topography also impacts spatial distribution certain extent. research provides scientific basis management similar regions, supporting formulation effective restoration conservation strategies.

Language: Английский

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Coupled effects of climate change and human activities on vegetation dynamics in the Southwestern Alpine Canyon Region of China

Journal of Mountain Science, Journal Year: 2024, Volume and Issue: 21(10), P. 3234 - 3248

Published: Oct. 1, 2024

Language: Английский

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