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496 results for “Tibetan Plateau”

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zenodo36/100

Figure 6 in A new species of Gammarus Fabricius, 1775 (Crustacea: Amphipoda: Gammaridae) from extreme high-altitude Lake Tong Tso, Qinghai-Tibetan Plateau

Figure 6. Gammarus pontual sp. nov., male paratype (MZUSP 40977): (A) Right pereopod 3, lateral view; (B) Right pereopod 4, lateral view; (C) Right pereopod 5, lateral view; (D) Right pereopod 6, lateral view; (E) Right pereopod 7, lateral view. Scale bars: 1.0 mm.

opencc-by-nc-4.0Apr 2021View details →
zenodo36/100

Figure 5 in A new species of Gammarus Fabricius, 1775 (Crustacea: Amphipoda: Gammaridae) from extreme high-altitude Lake Tong Tso, Qinghai-Tibetan Plateau

Figure 5. Gammarus pontual sp. nov., male paratype (MZUSP 40977): (A) Right gnathopod 2, lateral view; (B) Left gnathopod 2, mesial view. Scale bars: 1.0 mm.

opencc-by-nc-4.0Apr 2021View details →
zenodo36/100

Fluvial Response to Differential Activity of the Litang Fault System: Implications for Fault Kinematics and Geodynamics in the Southeastern Tibetan Plateau

<p>Supporting information accompanies the publication "Fluvial Response to Differential Activity of the Litang Fault System: Implications for Fault Kinematics and Geodynamics in Southeastern Tibetan Plateau ".&nbsp;</p> <p>Table S1 presents information related to all the extracted river channels including the drainage area and outlet elevation. The elevation, horizontal and vertical migration distances of knickpoints, as well as<em> ksn</em> values above and below the knickpoints have also been included.</p> <p>All the river longitudinal profiles extracted in this study, including the knickpoint position on the longitudinal profiles and the high-precision DEM data presented in Figures 9a and 10a, are provided .</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Figure 1 in A new species of crown-antlered deer Stephanocemas (Artiodactyla, Cervidae) from the middle Miocene of Qaidam Basin, northern Tibetan Plateau, China, and a preliminary evaluation of its phylogeny

Figure 1. Map of Qaidam Basin showing surrounding mountains and major vertebrate fossil localities.

opencc-by-4.0Jul 2009View details →
zenodo36/100

Upper-mantle anisotropy in the southeastern margin of the Tibetan Plateau revealed by fullwave SKS splitting intensity tomography

<p>This dataset contains the raw 3-component 100s SKS waveforms, measured splitting intensities and our final inverted anisotropic model for SE Tibet.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Moisture and temperature effects on the radiocarbon signature of respired carbon dioxide to assess stability of soil carbon in the Tibetan Plateau

<p>Radiocarbon data set and code for the prediction of D14C values in bulk soil and respired CO2.</p> <p>Lab results for TOC, TN, TIC, Dap and physico-chemical properties of grassland and peatland soils</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2024View details →
dryad36/100

Vertical structural complexity of plant communities represents the combined effects of resource acquisition and environmental stress on the Tibetan Plateau

<p><span>Knowledge of vertical structural complexity (VSC) is important, because the resulting spatial partitioning is closely linked to resource utilization and environmental adaptation. However, the spatial pattern of VSC </span><span>on </span><span>large scales and its underlying mechanisms are poorly understood. Here, we systematically investigated 2,013 plant communities through grid sampling on </span><span>the </span><span>Tibetan Plateau (TP). </span><span>VSC was quantified </span><span>as </span><span>the maximum plant height within a plot (Height-max), coefficient of variation of plant height</span><span> (Height-var)</span><span>, and Shannon evenness of plant height (</span><span>Height-even</span><span>)</span><span>. Precipitation dominated the spatial variation in VSC in forests and shrublands, supporting the classic physiological tolerance hypothesis (PTH). In contrast, for alpine meadows, steppes, and desert grasslands in extreme environments, non-resource limiting factors (e.g., wide diurnal temperature ranges and strong winds) dominate VSC variation. Generally, with the shifting of climate from favorable to extreme, the effect of resource availability gradually decreases, but the effect of non-resource limiting factors gradually increase</span><span>s</span><span>, and that the PTH only applicable in "favorable conditions". With </span><span>the help of</span><span> machine learning models, maps of </span><span>VSC</span><span> at 1-km resolution were produced for the TP for the first time</span><span>. Our</span><span> new findings and maps of VSC provide new insights into macroecological studies, especially for adaptation mechanisms and model optimization.</span></p>

opencc-zeroFeb 2024View details →
dryad36/100

Fifteen physiological traits related to osmoregulation and reactive oxygen species metabolism in two life form aquatic plants under a natural water salinity gradient on the Tibetan Plateau and Northwest China

<p><span>Aquatic plants, as the primary producers, determine the community structure and ecological function of freshwater ecosystems. However, salinization threatens inland freshwater wetlands and thus the survival of aquatic plants. Exploring the plant physiological responses to increasing water salinity could enhance our understandings of plant adaptive strategies under future climate change regimes in wetlands. We measured 15 physiological traits of 49 aquatic plant species along a large environmental gradient in alpine and arid regions of western China, to explore the physiological adaptions and compare the similarities and differences in adaptive strategies between the two life forms to natural water salinity. We found that both water salinity and low temperature were key factors affecting aquatic plants in alpine and arid regions. Aquatic plants adapt to saline habitats by accumulating proline and sulfur (S) concentrations, and to cold habitats by increasing ascorbate peroxidase activity. Plant trait network analysis showed that the hub trait in emergent plants was S, but in submerged plants was proline, suggesting that emergent plants balanced osmoregulation and reactive oxygen metabolism via S-containing compounds, while submerged plants prioritizing the regulation of osmotic balance via proline.</span></p>

opencc-zeroMar 2024View details →
zenodo36/100

A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types

<p>A 10 m resolution land cover map of the Tibetan Plateau with 12 vegetation types and 3 non-vegetation types for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and Random Forest model&nbsp;using Google Earth Engine platform.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Data and code for the paper titled "Impact of the Tibetan Plateau on Global High-frequency Temperature Variability"

<p>This is the data and code for the paper titled "<span>Impact of the Tibetan Plateau on </span><span><span>G</span><span>lobal High-frequency Temperature Variability</span></span>", which was submitted to <em>Journal of Climate</em>.</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Figures 19–20 in Two new species of Eryciini (Diptera: Tachinidae) from the Eastern edge of the Qinghai-Tibetan Plateau, China

Figures 19–20. Lydella gannanensis sp. nov., male terminalia. 19. Lateral view. 20. Caudal view.

opencc-by-4.0Dec 2023View details →
zenodo36/100

Figures 9–10 in Two new species of Eryciini (Diptera: Tachinidae) from the Eastern edge of the Qinghai-Tibetan Plateau, China

Figures 9–10. Drino latifrons sp. nov., male terminalia. 9. Lateral view. 10. Caudal view.

opencc-by-4.0Dec 2023View details →
zenodo36/100

MST NDSI Collection: A Cloud-free MODIS NDSI Dataset (2001–2022) for Tibetan Plateau Generated by a LightGBM-Based Method Using Multivariate Features

<p>1. Cloud-free MODIS normalized difference snow index (NDSI) dataset for Tibetan Plateau from 2001 to 2022&nbsp;is generated.</p> <p>2. This dataset is derived from daily 500-m MODIS NDSI datasets (MOD10A1 and MYD10A1).</p> <p>3. This dataset is provided using a WGS_1984_UTM_45N projection, with the data format of TIFF images.&nbsp;</p> <p>4. The NDSI value ranges from -10,000-10,000, corresponding to the raw NDSI band of MOD10A1 and MYD10A1. The fill value is set to -32768.</p> <p>5. Due to the large amount of data, the data for each year has been divided into several split archives (YYYY.partX.rar).</p> <p>6. Each RAR contains NDSI data for one year (January to December). After uncompressing into the TIFF format, the files are named as "NDSI_Daily_YYYY_mm_dd.tif" for NDSI data and "NDSI_Daily_YYYY_mm_dd.tif".</p> <p>7. The accuracy of this collection has been well validated by simulation experiments.</p> <p>8. This version includes data from 2017 to 2022 (https://doi.org/10.5281/zenodo.14177009). Version 1 includes data from 2001 to 2004 (https://doi.org/10.5281/zenodo.14027672). Version 2 includes data from 2005 to 2010(https://doi.org/10.5281/zenodo.14038846). Version3 includes data from 2011 to 2016 (https://doi.org/10.5281/zenodo.14089925).<br><br><br></p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Three-dimensional crustal channel flows beneath the southeastern Tibetan Plateau revealed by full-waveform ambient noise tomography

<p>This is a new version of Vp and Vs models for paper titled "Three‐Dimensional Crustal Channel Flows Beneath the Southeastern Tibetan Plateau Revealed by Full‐Waveform Ambient Noise Tomography" published in Geophysical Research Letters.</p> <p>Modification history: new Vs model includes from surface downward to 120 km depth.</p> <p>Please ignore the models in version 1 and 2.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Data presented in Stress regimes and dynamic implications of the southeastern margin of the Tibetan Plateau: Insights from a refined focal mechanism catalog

<p>The dataset includes thewaveform data required for source mechanism inversion presented in the paper Stress regimes and dynamic implications of the southeastern margin of the Tibetan Plateau: Insights from a refined focal mechanism catalog</p>

opencc-by-4.0Sep 2024View details →
dryad36/100

Water residence time and temperature drive the dynamics of dissolved organic matter in Alpine lakes in the Tibetan Plateau

<p>This dataset contains data from an investigation into the drivers on the spatial distribution of dissolved organic matter in alpine lakes in the Tibetan Plateau described in the paper: "Du Y., Chen F., Xiao K., Song C., He H., Zhang Q., Zhou Y., Jang K.-S., Zhang Y., Xing P., Liu Z., Zhang Y. and Lu Y. 2021. Water Residence Time and Temperature Drive the Dynamics of Dissolved Organic Matter in Alpine Lakes in the Tibetan Plateau, Global Biogeochemical Cycles 35(11), e2020GB006908". </p> <p>The primary objectives of the study were to: (i) evaluate the spatial variability of the amount, source, and composition of DOM from alpine lakes on the Tibetan Plateau, and (ii) determine the primary environmental controls and mechanisms responsible for the spatial variability.</p> <p>At first, we collected 35 water samples from 25 lakes distributed in the northwestern (33.1–33.6 °N, 78.9–80.4°E), central (30.5–31.9°N, 88.3–89.4°E) and southeastern (28.6–29.1 °N, 90.4–90.8°E) regions of the plateau. We characterized water chemistry and DOM composition in these lakes by measuring dissolved organic carbon (DOC) and DOM optical properties (i.e., absorbance and fluorescence spectroscopy). DOM compositions of three lakes of different water residence times (WRTs) were further analyzed using ultrahigh-resolution molecular techniques (i.e., electrospray ionization-assisted Fourier transform-ion cyclotron resonance mass spectrometry, ESI FT-ICR MS).</p> <p>Secondly, we collected the indices of climatic characteristics (i.e., mean annual temperature, mean annual precipitation, and mean annual irradiation period) and lake hydrology (i.e., catchment area, lake area, mean depth and water residence time) of the sampling lakes.</p> <p>Thirdly, we performed statistical analysis to determine the primary environmental control and predictors of the spatial variability in lacustrine DOM on the Tibetan Plateau. The statistical analyses included non-parametric Kruskal-Wallis with Dunn post hoc test, spearman's bivariate correlations, redundancy analysis, and linear regression models.</p> <p>Main results of this work are that (1) DOM in Tibetan alpine lakes is mediated more by in-lake production and transformations than by catchment inputs; (2) water residence time (WRT) of lakes and mean annual temperature (MAT) accounted for 30–59% of the spatial variance of the abundance of chromophoric DOM (CDOM) and fluorescent DOM (FDOM); (3) Alpine lakes on the Tibetan Plateau would play a more active and prominent role in regional and global carbon cycles in the face of climate change.</p>

opencc-zeroJan 2022View details →
zenodo36/100

The model data of Potential Impact of Spring Thermal Forcing over the Tibetan Plateau on the Following Winter El Niño–Southern Oscillation

<p>This is the model data of &quot;Potential Impact of Spring Thermal Forcing over the Tibetan Plateau on the Following Winter El Ni&ntilde;o&ndash;Southern Oscillation&quot;. The data includes&nbsp;the last 20 years data of&nbsp;control run (CTRL), the 20 years data of&nbsp;TP&ndash;T experiment, and the wave activity flux&nbsp;difference between ensemble means of TP&ndash;T and CTRL.&nbsp;2D is two dimensions.&nbsp;3D is three&nbsp;dimensions.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

County-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, China

<p>County-level activity data and emission factors</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

dispersion curvers of southeastern Tibetan Plateau obtained by wave gradiometry and ambient noise cross correlation

<p>azimuth-dependant dispersion curves: bk.gridID.deg.backazimuth.dsp</p> <p>T=5:20s obtained from ambient noise tomography<br> T=21:60s obtained&nbsp;from wave gradiometry<br> grid information: xyloc.txt</p>

opencc-by-4.0May 2022View details →
dryad36/100

Data from: Extensive sympatry and frequent hybridization of ecologically divergent aquatic plants on the Qinghai-Tibetan Plateau

<p><span>Hybridization has fascinated biologists in recent centuries for its evolutionary importance, especially in plants. Hybrid zones </span><span>are </span><span>commonly located in regions across environmental gradients due to more opportunities to contact and ecological heterogeneity. For aquatic taxa, intrazonal character makes broad </span><span>overlapping</span><span> regions in intermediate environments between related species. However, we have limited information on the hybridization pattern of aquatic taxa in </span><span>alpines, especially submerged macrophytes</span><span>. In this study, we aimed to test the hypotheses that niche overlap and hybridization might be extensive in related aquatic plants across an altitudinal gradient. We evaluated the niche overlap in three related species pairs on the Qinghai-Tibetan Plateau and assessed the spatial pattern of hybrid populations. Obvious niche overlap and common hybridization were revealed in all three pairs of related aquatic plants. The plateau edge and river basins were broad areas for the sympatry of divergent taxa, where a large proportion of hybrid populations occurred. Hybrids are also discretely distributed in diverse habitats on the plateau. Differences in the extent of niche overlap, genetic incompatibility and phylogeographic history might lead to variations in hybridization patterns among the three species pairs. Our results suggested that plateau </span><span>areas are</span><span> a hotspot for ecologically divergent aquatic species to contact and mate and implied that hybridization may be important for the freshwater biodiversity of highlands.</span></p>

opencc-zeroMay 2022View details →

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Last verified 2026-04-29Open record