Vegetation cover dynamics and its constraint effect on ecosystem services on the Qinghai-Tibet Plateau under ecological restoration projects

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 356, P. 120535 - 120535

Published: March 12, 2024

Language: Английский

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Roles of the soil microbiome in sustaining grassland ecosystem health on the Qinghai-Tibet Plateau

Microbiological Research, Journal Year: 2025, Volume and Issue: unknown, P. 128078 - 128078

Published: Jan. 1, 2025

Language: Английский

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Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal Herb Gymnadenia orchidis Based on the Optimized MaxEnt in the Qinghai–Tibet Plateau

Plants, Journal Year: 2024, Volume and Issue: 13(5), P. 645 - 645

Published: Feb. 26, 2024

Climate change plays a pivotal role in shaping the shifting patterns of plant distribution, and gaining insights into how medicinal plants plateau region adapt to climate will be instrumental safeguarding rich biodiversity highlands. Gymnosia orchidis Lindl. (G. orchidis) is valuable Tibetan resource with significant medicinal, ecological, economic value. However, growth G. severely constrained by stringent natural conditions, leading drastic decline its resources. Therefore, it crucial study suitable habitat areas facilitate future artificial cultivation maintain ecological balance. In this study, we investigated zones based on 79 occurrence points Qinghai–Tibet Plateau (QTP) 23 major environmental variables, including climate, topography, soil type. We employed Maximum Entropy model (MaxEnt) simulate predict spatial distribution configuration changes during different time periods, last interglacial (LIG), Last Glacial (LGM), Mid-Holocene (MH), present, scenarios (2041–2060 2061–2080) under three (SSP126, SSP370, SSP585). Our results indicated that annual precipitation (Bio12, 613–2466 mm) mean temperature coldest quarter (Bio11, −5.8–8.5 °C) were primary factors influencing orchidis, cumulative contribution 78.5%. The driest season had most overall impact. Under current covered approximately 63.72 × 104/km2, encompassing Yunnan, Gansu, Sichuan, parts Xizang provinces, highest suitability observed Hengduan, Yunlin, Himalayan mountain regions. past, area experienced Mid-Holocene, variations total centroid migration direction. scenarios, projected expand significantly SSP370 (30.33–46.19%), followed SSP585 (1.41–22.3%), while contraction expected SSP126. Moreover, centroids exhibited multidirectional movement, extensive displacement (100.38 km2). This provides theoretical foundation for conservation endangered QTP.

Language: Английский

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Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery

Earth system science data, Journal Year: 2025, Volume and Issue: 17(2), P. 773 - 797

Published: Feb. 28, 2025

Abstract. The Qinghai–Tibet Plateau (QTP), known as the Third Pole of Earth and “water tower Asia”, plays a crucial role in global climate regulation, biodiversity conservation, regional socio-economic development. Continuous annual vegetation types their geographical distribution data are essential for studying response adaptation to change. However, there very limited on distributions QTP due harsh natural environment. Currently, land cover surface typically obtained using traditional classification methods each period's product based remote sensing information. These approaches do not consider temporal continuity presence, leading gradual increase misclassified pixels uncertainty locations, consequently decreasing interpretability long-time-series products. To address this issue, study developed new method long-time continuous mapping reference maps updates mapped from 2000 2022 at 500 m spatial resolution through MOD09A1 product. overall accuracy reached 83.27 %, with 2020 reaching an 83.32 % kappa coefficient 0.82. This supports use long-term mapping. available https://doi.org/10.11888/Terre.tpdc.301205 (Zhou et al., 2024).

Language: Английский

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Diversity, functionality, and stability: shaping ecosystem multifunctionality in the successional sequences of alpine meadows and alpine steppes on the Qinghai-Tibet Plateau

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: March 13, 2025

Recent investigations on the Tibetan Plateau have harnessed advancements in digital ground vegetation surveys, high temporal resolution remote sensing data, and sophisticated cloud computing technologies to delineate successional dynamics between alpine meadows steppes. However, these efforts not thoroughly explored how different stages affect key ecological parameters, such as species functional diversity, stability, ecosystem multifunctionality, which are fundamental resilience adaptability. Given this gap, we systematically investigate variations often-overlooked dimension of community stability across gradient from We further identify primary environmental drivers changes evaluate their collective impact multifunctionality. Our analysis reveals that, communities progress toward steppes, multi-year average precipitation temperature decline significantly, accompanied by reductions soil nutrients. These shifts led decreased driven lower reduced nitrate-nitrogen levels, well differentiation influenced declining pH precipitation. Consequently, loss intensified, diminished diversity eroded resistance, ultimately reducing grassland Using linear mixed-effects model structural equation modeling, found that is foremost determinant followed diversity. Surprisingly, also significantly influences multifunctionality—a factor rarely highlighted previous studies. findings deepen our understanding interplay among functionality, support development an integrated feedback linking with attributes ecosystems.

Language: Английский

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Stability of Holocene pollen assemblages in eastern China disturbed by human activities over the last two millennia

Science Bulletin, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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Degradation of alpine meadows exacerbated plant community succession and soil nutrient loss on the Qinghai-Xizang Plateau, China

Journal of Arid Land, Journal Year: 2025, Volume and Issue: 17(3), P. 368 - 380

Published: March 1, 2025

Language: Английский

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Changes in grassland types caused by climate change and anthropogenic activities have increased carbon storage in alpine grassland ecosystem

Global and Planetary Change, Journal Year: 2025, Volume and Issue: unknown, P. 104803 - 104803

Published: March 1, 2025

Language: Английский

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Drivers of aboveground biomass in Quercus wutaishanica Mayr forests based on random forest and structural equation modeling: A cross-scale analysis

Ecological Modelling, Journal Year: 2025, Volume and Issue: 505, P. 111113 - 111113

Published: April 9, 2025

Language: Английский

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Two-tier classification framework for mapping grassland types using multisource earth observation data

GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)

Published: July 27, 2024

The dynamic changes in grassland types are crucial for conserving biodiversity, conducting comprehensive health assessments, and gaining insights into ecosystem evolution. However, accurately mapping remains an ongoing challenge, especially over large areas. In response, we developed a hierarchical classification framework using random forest to tackle this task. This was structured two tiers: land cover (LC) grassland-type mapping, with each tier specific features tailored its respective objectives. framework, LC samples were automatically generated existing products combined vegetation indices phenological features. We fused spectral information, features, habitat factors such as topographic indices, soil, climate from multisource earth observation (EO) data enhance performance. successfully distribution maps of on the Qinghai Plateau years 1990–2020. Our findings revealed following: (1) Using two-tier fusing ideal map obtained, macro-average F1 score (F1) 91% overall accuracy (OA) 96%; (2) Compared one-shot achieved higher accuracy, OA increasing by 11% 7%, respectively; (3) Climate, topographical, assisted distinguishing similar characteristics, zonal grasslands. Adding these increased 21%, 10%, 3%, respectively, while 9%, 5%, 2%, respectively. Among relative humidity, total precipitation May September, geographic coordinates, elevation had greatest effect type differentiation. June July optimal periods mapping; (4) Over 30-year period, grasslands showed expanding trend, extensive areas alpine steppes transforming meadows. results study provide first elucidation across 1990 2020. Moreover, they underscore potential frameworks integration EO distribution.

Language: Английский

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