A dataset of remote sensing snow cover days in Qinghai Province  during 2002–2021

李小东,; 李林,; 史飞飞,; 苏文将,; 肖建设,; 李红梅,; Li, Xiaodong; Li, Lin; Feifei, SHI; Wenjiang, SU; Jianshe, XIAO; Li, Hongmei

doi:10.11922/11-6035.ncdc.2021.0028.zh

Cited by 2 publications

(2 citation statements)

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“…This study evaluates the impact of climatic variables on AGB, incorporating climate data as a key variable for the geodetector model. The climate data consists of the mean annual air temperature (MAAT) and the annual precipitation (AP) at a spatial resolution of 1 km for the year 2022 [ 31 , 32 ], along with the 500 m resolution snow cover days for 2021 [ 33 ]. The MAAT ( Figure 2 e) data source is the annual mean temperature data at 1 km resolution in China (1982–2022), and the AP ( Figure 2 d) data source is the annual precipitation data at 1 km in China (1982–2022), which were sourced from the National Earth System Science Data Center.…”

Section: Methodsmentioning

confidence: 99%

Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin

Wu,

Zhao,

Chen

et al. 2024

Plants

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Aboveground biomass (AGB) serves as a crucial measure of ecosystem productivity and carbon storage in alpine grasslands, playing a pivotal role in understanding the dynamics of the carbon cycle and the impacts of climate change on the Qinghai–Xizang Plateau. This study utilized Google Earth Engine to amalgamate Landsat 8 and Sentinel-2 satellite imagery and applied the Random Forest algorithm to estimate the spatial distribution of AGB in the alpine grasslands of the Beiliu River Basin in the Qinghai–Xizang Plateau permafrost zone during the 2022 growing season. Additionally, the geodetector technique was employed to identify the primary drivers of AGB distribution. The results indicated that the random forest model, which incorporated the normalized vegetation index (NDVI), the enhanced vegetation index (EVI), the soil-adjusted vegetation index (SAVI), and the normalized burn ratio index (NBR2), demonstrated robust performance in regards to AGB estimation, achieving an average coefficient of determination (R2) of 0.76 and a root mean square error (RMSE) of 70 g/m2. The average AGB for alpine meadows was determined to be 285 g/m2, while for alpine steppes, it was 204 g/m2, both surpassing the regional averages in the Qinghai–Xizang Plateau. The spatial pattern of AGB was primarily driven by grassland type and soil moisture, with q-values of 0.63 and 0.52, and the active layer thickness (ALT) also played a important role in AGB change, with a q-value of 0.38, demonstrating that the influences of ALT should not be neglected in regards to grassland change.

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Section: Methodsmentioning

confidence: 99%

Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin

Wu,

Zhao,

Chen

et al. 2024

Plants

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“…Data products used in this analysis are openly available as follows: Flash drought inventory (Osman et al., 2022b); v10 OCO2 MIP NBE (Byrne et al., 2024); GFED4.1s Fire Emissions (Werf et al., 2017b); GOSIF SIF (Li & Xiao, 2019b); CSIF SIF (Zhang et al., 2018b); MERRA‐2 air temperature, VPD, and atmospheric moisture (GMAO, 2015); GPCP Precipitation (Huffman et al., 2022); SMAP Soil Moisture (Reichle et al., 2022); GLDAS ET (Beaudoing et al., 2016); Bukovsky ecoregions (Bukovsky, 2011); MODIS IGBP land cover (Friedl & Sulla‐Menashe, 2015).…”

Section: Data Availability Statementmentioning

confidence: 99%

Antecedent Conditions Mitigate Carbon Loss During Flash Drought Events

Parazoo,

Osman,

Pascolini‐Campbell

et al. 2024

Geophysical Research Letters

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Flash droughts– the rapid drying of land and intensification of drought conditions—have devasting impacts to natural resources, food supplies, and the economy. Less is currently known about the drivers of flash droughts and their impact on landscape carbon losses. We leverage carbon and water cycle data from NASA OCO‐2 and Soil Moisture Active and Passive missions to quantify flash drought impacts on U.S. carbon exchange. On average, pre‐onset carbon uptake fully offsets post‐onset losses, creating a carbon neutral biosphere over a ±3 month period surrounding flash drought onset. This contrasts with ecosystem models, which underestimate pre‐onset uptake and overestimate post‐onset loss. Furthermore, spaceborne observations of solar induced fluorescence (SIF) provide a reliable indicator of flash droughts at lead times of 2–3 months, due to feedbacks between vegetation growth and soil water loss. This study is expected to improve understanding of flash drought impacts on carbon exchange, and facilitate flash drought early warning.

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A dataset of remote sensing snow cover days in Qinghai Province during 2002–2021

Cited by 2 publications

References 0 publications

Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin

Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin

Antecedent Conditions Mitigate Carbon Loss During Flash Drought Events

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