Spatial and Temporal Variation in Vegetation Cover and Its Response to Topography in the Selinco Region of the Qinghai-Tibet Plateau

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(16), P. 4101 - 4101

Published: Aug. 21, 2023

In recent years, the vegetation cover in Selinco region of Qinghai-Tibet Plateau has undergone significant changes due to influence global warming and intensified human activity. Consequently, comprehending distribution change patterns this area become a crucial scientific concern. To address concern, present study employed MODIS-NDVI elevation data, integrating methodologies such as trend analysis, Hurst exponent sequential cluster analysis explore over past 21 years predict future trends, while examining their correlation with topographic factors. The findings indicate fluctuating upward cover, notable decrease 2015. Spatially, overall fractional (FVC) showed basic stability percentage 78%. trends revealed that majority areas (68.26%) exhibited an uncertain trend, followed by stable regions at 15.78%. proportion showing increase accounted for only 9.63% 5.61%, respectively. Elevation slope significantly decreasing increases, increase, then another decrease. Likewise, initially, there is rise subsequent decline. Notably, abrupt are observed within 4800 m band 4° region. Moreover, aspect no effect on cover. These offer comprehensive insights into spatial temporal variations association factors, thus serving reference research.

Language: Английский

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Spatiotemporal patterns and alleviating of grassland overgrazing under current and future conditions in Qinghai-Tibet Plateau

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124456 - 124456

Published: Feb. 10, 2025

Language: Английский

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Spatio-temporal simulation of net ecosystem productivity in the Tibetan Plateau region using multi-scale data assimilation for terrestrial ecosystem process model

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 366, P. 110471 - 110471

Published: March 6, 2025

Language: Английский

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Impact of grassland storage balance management policies on ecological vulnerability: Evidence from ecological vulnerability assessments in the Selinco region of China

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 426, P. 139178 - 139178

Published: Oct. 5, 2023

Language: Английский

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Anthropogenic activities dominated the spatial and temporal changes of normalized difference vegetation index (NDVI) in the Hehuang valley in the northeastern Qinghai Province between 2000 and 2020

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: April 12, 2024

The Hehuang Valley (HV) is a key development area in the Qinghai Province; understanding changes vegetation within this of great significance if we are to maintain ecological quality regional environment. Based on 30 m spatial resolution Normalized difference index (NDVI) time series dataset, paper analyzes and temporal characteristics evolutionary trends NDVI HV from 2001 2020 under influences climate change human activities, by applying Mann-Kendall trend analysis, Hurst index, residual analysis. Analysis showed that firstly, high values (>0.5) were distributed low elevation areas except for towns cropland, while (<0.5) mainly regions; exhibited an increasing over study period. Second, activities promoted growth changing land-use types, although there risk degradation future. Third, proportion affected was determined be 87.24% HV; furthermore, contribution three-fold higher than change. Fourth, managers should scientifically manage grasslands forests implement specific anthropogenic interventions based degradation, improve ecosystem resilience. These results can used quantitatively analyze relative contributions natural factors HV, provide reference guidelines management environments.

Language: Английский

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Gridded Grazing Intensity Based on Geographically Weighted Random Forest and Its Drivers: A Case Study of Western Qinghai–Tibetan Plateau

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(17), P. 5295 - 5307

Published: Oct. 10, 2024

ABSTRACT Overgrazing affects the grass‐livestock balance and endangers grassland ecological security. Despite extensive studies conducted on identifying quantifying grazing intensity, there is still room for improvement in research gridding particularly areas with limited data Qinghai–Tibet Plateau. Therefore, we proposed a intensity spatialization method using geographically weighted random forest (GWRF) to gain further insights into spatial heterogeneity of alpine intensity. This incorporates multiple remote sensing related human activities natural factors, as well annual livestock statistics at township level over several years, while adequately considering autocorrelation Additionally, employed Lindeman Merenda Gold (LMG), geographical detector model, structural equation model (SEM) assess contribution influence path driving factors We also utilize partial correlation analysis dual‐phase mapping examine impact distribution The results demonstrate that GWRF‐based accurately predicts by demonstrating its consistency township‐scale ( R 2 = 0.92 p < 0.01), RMSE 1.07). provides valuable technical support pastoral availability. evaluate trends observe an increase Gar Purang counties. Furthermore, population density, normalized difference vegetation index (NDVI), temperature are identified three influential affecting areas. other indirectly influencing density NDVI levels, their interactions amplify overall influence. technique has demonstrated significant 45.92% 0.01) study area, emphasizing substantial Our novel framework spatially analyzing unraveling intricated mechanisms behind spatiotemporal changes,

Language: Английский

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Characteristics of Changes in Livestock Numbers and Densities in the Selinco Region of the Qinghai–Tibetan Plateau from 1990 to 2020

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1186 - 1186

Published: Aug. 1, 2024

A thorough understanding of the development process grazing activities and an elucidation their complex mechanisms are crucial for formulation adjustment livestock management policies. In Selinco region Qinghai–Tibet Plateau, we conducted a comprehensive analysis year-end numbers densities over past 30 years. The results indicate gradual decline in overall during this period, with notable decrease between 2004 2014, followed by stabilization. Notably, number yaks has significantly increased, whereas sheep, goats, horses have markedly decreased. Regarding density, there is spatial pattern from northwest to southeast, density order being Seni District > Bange County Anduo Shenzha Nima Shuanghu County. Between most counties experienced significant exhibiting trough–peak pattern. However, after spatiotemporal dynamic emerged. Concerning driving factors, 1990 2004, rural population economic were primary influences on density. After forage–livestock balance policies, snowstorms, fluctuations prices likely became main influencing factors. Further detailed these factors essential developing more effective strategies.

Language: Английский

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Spatial and Temporal Dynamics of Livestock Grazing Intensity in the Selinco Region: Towards Sustainable Grassland Management

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 473, P. 143541 - 143541

Published: Sept. 1, 2024

Language: Английский

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Estimating Grassland Carrying Capacity in the Source Area of Nujiang River and Selinco Lake, Tibetan Plateau (2001–2020) Based on Multisource Remote Sensing

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3790 - 3790

Published: Oct. 12, 2024

Estimating the spatiotemporal variations in natural grassland carrying capacity is crucial for maintaining balance between grasslands and livestock. However, accurately assessing this presents significant challenges due to high costs of biomass measurement impact human activities. In study, we propose a novel method estimate based on potential net primary productivity (NPP), applied source area Nujiang River Selinco Lake Tibetan Plateau. Initially, utilize multisource remote sensing data—including soil, topography, climate information—and employ random forest regression algorithm model NPP areas where grazing banned. The construction involves rigorous feature selection hyperparameter optimization, enhancing model’s accuracy. Next, apply trained with grazing, ensuring more accurate estimation capacity. Finally, analyze main results showed that achieved level precision, root mean square error (RMSE) 4.89, indicating reliable predictions From 2001 2020, average was estimated at 9.44 SU/km2, demonstrating spatial distribution decreases from southeast northwest. A slight overall increase observed, 65.7% exhibiting an increasing trend, suggesting change has modest positive effect recovery Most found below 5000 m altitude, alpine meadows meadow steppes 4750 being particularly suitable grazing. Given remains low, it strictly control local intensity mitigate adverse impacts This study provides solid scientific foundation developing targeted management protection policies.

Language: Английский

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UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution

Animals, Journal Year: 2023, Volume and Issue: 13(19), P. 3069 - 3069

Published: Sept. 29, 2023

Grazing management is one of the most widely practiced land uses globally. Quantifying spatiotemporal distribution livestock critical for effective livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions dynamic monitor and key parameters quantification under actual situations. In this study, we proposed a pragmatic method quantifying density (GD) herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three typical household pastures Qinghai-Tibetan Plateau, China. found that: (1) yak herds followed rotational pattern spontaneously within pastures, (2) Dispersion Index varied as an M-shaped curve day, it was lowest in July August, (3) average distance between herd campsites cold season significantly shorter than that warm season. developed characterize GD HP precisely effectively. This ideal studying animal behavior determining correlation pastoral resource usability, delivering information development grassland ecosystem implementation sustainable management.

Language: Английский

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