Attribution of climate change and human activities to vegetation NDVI in Jilin Province, China during 1998–2020

Ecological Indicators, Journal Year: 2023, Volume and Issue: 153, P. 110415 - 110415

Published: May 29, 2023

Vegetation is among the key elements of ecosystems, and normalized difference vegetation index (NDVI) most frequently used tools for studying changes in regional dynamics. Studying these their drivers essential understanding interactions between ecosystems; therefore, here, we analyzed spatial temporal patterns NDVI Jilin Province influencing factors. The correlation climatic factors was using Pearson's analysis. Additionally, explored human activity geographically weighted regression results were as follows: (1) From 1998 to 2020, although trends different types showed some differences general, they all an increasing trend. (2) ranged from − 0.031 0.046. values exhibited a trend toward growth regions. (3) Climate change are more important than improving vegetation. (4) Among factors, negative temperature stronger positive correlation, while correlations precipitation equally strong. (5) Human such GDP population have mostly effects on NDVI, whereas land-use type shifts effects. this study contribute deeper change. discussions can provide theoretical references ecological management sustainable development Province.

Language: Английский

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Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(9)

Published: Aug. 7, 2023

Language: Английский

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Quantifying the Influence of Climate Variables on Vegetation Through Remote Sensing and Multi-dimensional Data Analysis

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 8(2), P. 165 - 180

Published: March 16, 2024

Language: Английский

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Research on the Impact of Climate Change and Human Activities on the NDVI of Arid Areas—A Case Study of the Shiyang River Basin

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 533 - 533

Published: April 17, 2024

Arid zone ecosystems, integral to terrestrial systems, exhibit relatively low stability and are prone influences from human activities climate change. To elucidate the influence on ecological environment of arid by change activities, paper takes normalized difference vegetation index (NDVI) as an evaluation ecosystem uses trend analysis NDVI variation characteristics in Shiyang River Basin (SRB) 1990 2020. Simultaneously using methods such partial correlation residual evaluate impact changes. This study yielded several key findings: (1) The SRB exhibits increasing 0.034/10a interannual variation. (2) relation cooperatives between deviation precipitation temperature range −0.735 0.770 −0.602 0.773, respectively. (3) changes land use groundwater depth have a certain (4) proportion areas with significant contributions (contribution rate greater than 60%) is 33.5% 22.5%,

Language: Английский

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Vegetation cover change and its response to human activities in the southwestern karst region of China

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: March 26, 2024

Vegetation to some extent can reflect the overall state of ecological environment, and increasing vegetation cover improve quality environment. The southwest karst region China is a typical ecologically fragile area an important barrier. Against backdrop intensified human activities, dynamics in have attracted widespread attention. Analyzing changes their responses activities for regional development. This study based on SPOT-VGT NDVI data from 1998 2020 employs trend analysis, “baseline” determination, multiple regression, residual principal component analysis investigate characteristics China. Additionally, it quantifies specific impacts various these changes. research findings indicate that (1) over past 23 years, interannual variability seasonal differences been significant, exhibiting trend. Spatially, this demonstrates decreasing south north northeast. (2) Over time, areas where has improved gradually expand, effectiveness restoration increases with time. (3) Overall, influence growth landscape (4) socioeconomic factors affecting primarily include economic development level, population labor migration, urbanization development, construction. These results provide scientific basis formulating reasonable environment protection strategies by humans.

Language: Английский

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Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 219 - 219

Published: Jan. 20, 2025

Climate change and human activities are reshaping the structure function of terrestrial ecosystems, particularly in vulnerable regions such as agro-pastoral ecotones. However, extent to which climate impacts vegetation growth these areas remains poorly understood, largely due modifying effects human-induced land cover changes on sensitivity climatic variations. This study utilizes satellite-derived indices, datasets, data investigate influence both ecotone northern China (APENC) from 2001 2022. The results reveal that productivity, indicated by kernel Normalized Difference Vegetation Index (kNDVI), varies depending type APENC. Moreover, ridge regression modeling shows pre-season conditions (i.e., precipitation temperature) have a stronger positive impact growing-season productivity than growing season temperature, while effect vapor pressure deficit (VPD) is negative. Notably, kNDVI exhibits significant (p < 0.05) 34.12% region negative VPD 38.80%. model explained 89.10% total variation (R2 = 0.891). These findings not only emphasize critical role historical contemporary shaping but also provide valuable insights into how adjust agricultural animal husbandry management strategies improve regional adaptation based information previous seasons fragile regions.

Language: Английский

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Integration of remote sensing and machine learning algorithm for agricultural drought early warning over Genale Dawa river basin, Ethiopia

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 4, 2025

Language: Английский

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Monitoring vegetation dynamics across land use types in Iran: spatiotemporal relationships with soil temperature and water volume

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Feb. 1, 2025

Language: Английский

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Plantation forests driven spatiotemporal vegetation trends and its interplay with climate variables in the Northwestern Highlands of Ethiopia

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 137, P. 104411 - 104411

Published: Feb. 17, 2025

Language: Английский

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Understanding the spatiotemporal dynamics of vegetation cover change (VCC) in the Teesta basin: a geospatial and statistical modelling–based investigation of environmental and human factors

Arabian Journal of Geosciences, Journal Year: 2025, Volume and Issue: 18(3)

Published: March 1, 2025

Language: Английский

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