The spatial and temporal dynamics of carbon budget in the alpine grasslands on the Qinghai-Tibetan Plateau using the Terrestrial Ecosystem Model

Yan, Lijun; Zhou, Guangsheng; Wang, Y.H.; Hu, Tianyu; Sui, Xinghua

doi:10.1016/j.jclepro.2015.04.140

Cited by 50 publications

(44 citation statements)

References 36 publications

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“…It was necessary to conduct homogeneity tests on the data of meteorological sites [39] to eliminate invalid site data. The existing research on meteorological factor interpolation adopts different methods-Kriging and IDW (Inverse Distance Weighted) [11,40] for relative humidity, Kriging and IDW [11,32] for precipitation., and TPS (Thin Plate Spline) and Kriging [40,41] for air temperature. Considering that the spatial distribution was significantly different in relative humidity, precipitation, and air temperature, and air temperature had a certain degree of altitude sensitivity [40][41][42], on the basis of the previous study method, after being tested by comparing meteorological site data and other methods, IDW was selected to interpolate the relative humidity, and Kriging to interpolate the precipitation.…”

Section: Spatial Interpolation Of Meteorological Datamentioning

confidence: 99%

Temporal and Spatial Characteristics of EVI and Its Response to Climatic Factors in Recent 16 years Based on Grey Relational Analysis in Inner Mongolia Autonomous Region, China

Zhang

et al. 2018

Remote Sensing

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Abstract:The Inner Mongolia Autonomous Region (IMAR) is a major source of rivers, catchment areas, and ecological barriers in the northeast of China, related to the nation's ecological security and improvement of the ecological environment. Therefore, studying the response of vegetation to climate change has become an important part of current global change research. Since existing studies lack detailed descriptions of the response of vegetation to different climatic factors using the method of grey correlation analysis based on pixel, the temporal and spatial patterns and trends of enhanced vegetation index (EVI) are analyzed in the growing season in IMAR from 2000 to 2015 based on moderate resolution imaging spectroradiometer (MODIS) EVI data. Combined with the data of air temperature, relative humidity, and precipitation in the study area, the grey relational analysis (GRA) method is used to study the time lag of EVI to climate change, and the study area is finally zoned into different parts according to the driving climatic factors for EVI on the basis of lag analysis. The driving zones quantitatively show the characteristics of temporal and spatial differences in response to different climatic factors for EVI. The results show that: (1) The value of EVI generally features in spatial distribution, increasing from the west to the east and the south to the north. The rate of change is 0.22/10 • E from the west to the east, 0.28/10 • N from the south to the north; (2) During 2000-2015, the EVI in IMAR showed a slightly upward trend with a growth rate of 0.021/10a. Among them, the areas with slight and significant improvement accounted for 21.1% and 7.5% of the total area respectively, ones with slight and significant degradation being 24.6% and 4.3%; (3) The time lag analysis of climatic factors for EVI indicates that vegetation growth in the study area lags behind air temperature by 1-2 months, relative humidity by 1-2 months, and precipitation by one month respectively; (4) During the growing season, the EVI of precipitation driving zone (21.8%) in IMAR is much larger than that in the air temperature driving zone (8%) and the relative humidity driving zone (11.6%). The growth of vegetation in IMAR generally has the closest relationship with precipitation. The growth of vegetation does not depend on the change of a single climatic factor. Instead, it is the result of the combined action of multiple climatic factors and human activities.

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Section: Spatial Interpolation Of Meteorological Datamentioning

confidence: 99%

Temporal and Spatial Characteristics of EVI and Its Response to Climatic Factors in Recent 16 years Based on Grey Relational Analysis in Inner Mongolia Autonomous Region, China

Zhang

et al. 2018

Remote Sensing

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“…During the past several decades, a number of studies on soil C and N, have focused on the grasslands at different scales in China, including the site scale (Yu et al, 2013;Wang et al, 2014;Wang et al, 2017), the transect scale (Zhou et al, 2002;Yang et al, 2009;Yang et al, 2010), and the country scale (Ni, 2002;Piao et al, 2005;Xie et al, 2007;Fang et al, 2010). However, most studies have assessed C and N storage values for specific grassland types, especially temperate grasslands (Conant and Paustian, 2002;Piao et al, 2007;Yang et al, 2010) and alpine grasslands (Li et al, 2014;Yan et al, 2015;Chen et al, 2017). Additionally, numerous studies have studied soil C and N in the grasslands of Inner Mongolia (Bai et al, 2004;He et al, 2014;Li et al, 2017) and the Qinghai-Tibetan Plateau (QTP) (Yang et al, 2008;Chang et al, 2014) in China.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of soil organic carbon and total nitrogen under various grassland types along a transect in a mountain-basin system in Xinjiang, China

Nan

et al. 2018

J. Arid Land

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Soil organic carbon (SOC) and soil total nitrogen (STN) in arid regions are important components of global C and the N cycles, and their response to climate change will have important implications for both ecosystem processes and global climate feedbacks. Grassland ecosystems of Funyun County in the southern foot of the Altay Mountains are characterized by complex topography, suggesting large variability in the spatial distribution of SOC and STN. However, there has been little investigation of SOC and STN on grasslands in arid regions with a mountain-basin structure. Therefore, we investigated the characteristics of SOC and STN in different grassland types in a mountain-basin system at the southern foot of the Altai Mountains, north of the Junggar Basin in China, and explored their potential influencing factors and relationships with meteorological factors and soil properties. We found that the concentrations and storages of SOC and STN varied significantly with grassland type, and showed a decreasing trend along a decreasing elevation gradient in alpine meadow, mountain meadow, temperate typical steppe, temperate steppe desert, and temperate steppe desert. In addition, the SOC and STN concentrations decreased with depth, except in the temperate desert steppe. According to Pearson's correlation values and redundancy analysis, the mean annual precipitation, soil moisture content and soil available N concentration were significantly positively correlated with the SOC and STN concentrations. In contrast, the mean annual temperature, pH, and soil bulk density were significantly and negatively correlated with the SOC and STN concentrations. The mean annual precipitation and mean annual temperature were the primary factors related to the SOC and STN concentrations. The distributions of the SOC and STN concentrations were highly regulated by the elevation-induced differences in meteorological factors. Mean annual precipitation and mean annual temperature together explained 97.85% and 98.38% of the overall variations in the SOC and STN concentrations, respectively, at soil depth of 0-40 cm, with precipitation making the greatest contribution. Our results provide a basis for estimating and predicting SOC and STN concentrations in grasslands in arid regions with a mountain-basin structure.

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“…Distributed throughout the world, these grasslands include the Himalayas, Qinghai-Tibetan Plateau (QTP), Alaska, and the Alps (Callaway et al, 2002;Dixon, Faber-Langendoen, Josse, Morrison, & Loucks, 2014). Known as 'the roof of the world,' the QTP is the most expansive areas of alpine grasslands worldwide (Dong, Shang, Gao, & Boone, 2020;Lu et al, 2015;Yan, Zhou, Wang, Hu, & Sui, 2015). These alpine grasslands provide various ecosystem services, such as carbon sequestration, livestock production, biodiversity conservation and recreation (Wang, Sun, Wang, Chang, & Hou, 2018;Yang et al, 2008).…”

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confidence: 99%

Grazing significantly increases root shoot ratio but decreases soil organic carbon in Qinghai‐Tibetan Plateau grasslands: A hierarchical meta‐analysis

Yan

Wang

et al. 2020

Land Degrad Dev

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The Qinghai-Tibetan Plateau (QTP) is the most expansive area of alpine grasslands worldwide, which have been grazed for thousands of years. Distinct environmental conditions render QTP grasslands vulnerable to disturbances. Intensified grazing in the area has led to its degradation in recent decades. However, the effects of grazing on grassland production, soil carbon, and nitrogen contents, their relationships and the factors influencing the grasslands of QTP have yet to be determined. In this study, we evaluated the effect of grazing by using a hierarchical meta-analysis, and explored relation of response variables by structural equation modeling. In all, grazing significantly decreased the aboveground biomass (−38%), total biomass (TB) (−14%), litter (−63%), soil organic carbon (SOC) (−20%), and total nitrogen (TN) (−15%). The root shoot ratio was increased (75%). Grazing intensity exerted significant effects, and mean annual temperature and altitude influenced the responses to a certain degree. Specifically, the response of the root shoot ratio, which can affect the responses of SOC and TN, was significantly higher in the QTP grasslands. Our findings elucidated the response patterns, specialties, relationships, and factors influencing the QTP grasslands, which need to be considered in the development of processbased models and the sustainable use of alpine grasslands on QTP in the future.

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The spatial and temporal dynamics of carbon budget in the alpine grasslands on the Qinghai-Tibetan Plateau using the Terrestrial Ecosystem Model

Cited by 50 publications

References 36 publications

Temporal and Spatial Characteristics of EVI and Its Response to Climatic Factors in Recent 16 years Based on Grey Relational Analysis in Inner Mongolia Autonomous Region, China

Temporal and Spatial Characteristics of EVI and Its Response to Climatic Factors in Recent 16 years Based on Grey Relational Analysis in Inner Mongolia Autonomous Region, China

Characteristics of soil organic carbon and total nitrogen under various grassland types along a transect in a mountain-basin system in Xinjiang, China

Grazing significantly increases root shoot ratio but decreases soil organic carbon in Qinghai‐Tibetan Plateau grasslands: A hierarchical meta‐analysis

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