A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China

Land Use Policy, Год журнала: 2025, Номер 151, С. 107494 - 107494

Опубликована: Фев. 5, 2025

Язык: Английский

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Assessment of future prediction of urban growth and climate change in district Multan, Pakistan using CA-Markov method

Urban Climate, Год журнала: 2023, Номер 53, С. 101766 - 101766

Опубликована: Ноя. 25, 2023

Язык: Английский

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Effects of precipitation changes on fractional vegetation cover in the Jinghe River basin from 1998 to 2019

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102505 - 102505

Опубликована: Янв. 30, 2024

Studying the spatiotemporal evolutionary characteristics of vegetation and effect precipitation changes is necessary for understanding regional ecological environment. We used trend analysis, partial correlation significance tests, residual analysis to analyze evolution driving factors fractional cover (FVC) in Jinghe River Basin (JRB) from 1998 2019. The results showed that coverage JRB significantly improved FVC an increasing 90.64% areas JRB, overall annual change was extremely significant (p ≤ 0.01). However, insignificant trend; distribution developed a uniform direction centroid tended move backward. area with between concentration index accounted largest proportion (18.47%). Precipitation generally favored recovery; however, limited non-precipitation dominated FVC. Our study contributes more comprehensive effects patterns on facilitate protection.

Язык: Английский

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NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure

Geo-spatial Information Science, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Апрель 26, 2024

Spatial-temporal dynamics monitoring of Arctic vegetation structure (i.e. distribution range tundra and forest) is great significance for evaluating global warming effect. Currently, time-series relies primarily on the Normalized Difference Vegetation Index (NDVI), which derived from optical remote sensing images. However, because factors such as long revisit period satellites impact climate, observations are severely lacking in region. This results NDVI data highly discontinuous difficult to reflect actual variations structure, traditional reconstruction method would usually fail severe missing conditions. Therefore, this study developed a Time Series Reconstruction considering Periodic Trend (TSR-PT), specifically alleviating observation condition It can separate phenological change trend incomplete time series NDVI, borrow information neighboring unchanged years compensate current years, based learned inter-annual intra-annual correlation. We explore its usability variation Vorkuta region (transition zone taiga Circle) MODIS data. found that proposed TSR-PT able reconstruct with reasonable feature even rate reaches over 70%, falsely constructed by filtering or fitting method, suppress them 0.038 terms RMSE; besides, we find since 21-century, trees have continued increase encroach original ecosystem, caused largely structural change, believe promote research.

Язык: 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, Год журнала: 2024, Номер 13(4), С. 533 - 533

Опубликована: Апрель 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%,

Язык: Английский

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Landscape ecological risks assessment of the China-Vietnam border area: the perspective of production-living-ecological spaces

Regional Environmental Change, Год журнала: 2024, Номер 24(3)

Опубликована: Июль 5, 2024

Язык: Английский

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From Green to Grey: Assessing the Impact of Urbanization on Land Surface Temperature and Thermal Comfort in Multan City

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Язык: Английский

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Farmland change at different altitudes: A global analysis of climate and anthropogenic influences

The Science of The Total Environment, Год журнала: 2025, Номер 968, С. 178855 - 178855

Опубликована: Фев. 20, 2025

Язык: Английский

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Exploring the Spatio-temporal Distribution Characteristics and the Impacts of Climate Change and Human Activities on Global Grassland Based on kNDVI

Environmental Research, Год журнала: 2025, Номер unknown, С. 121884 - 121884

Опубликована: Май 1, 2025

Язык: Английский

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Satellite-based rainwater harvesting sites assessment for Dera Ghazi Khan, Punjab, Pakistan

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(32), С. 45399 - 45413

Опубликована: Июль 4, 2024

Язык: Английский

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