Journal ArticleDOI
Ecosystem carbon stocks and their changes in China’s grasslands
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TLDR
Spatial patterns and temporal dynamics of grassland biomass were closely correlated with precipitation, while changes in soil C stocks exhibited close associations with soil moisture and soil texture, indicating that grassland ecosystems are C neutral.Abstract:
The knowledge of carbon (C) stock and its dynamics is crucial for understanding the role of grassland ecosystems in China’s terrestrial C cycle. To date, a comprehensive assessment on C balance in China’s grasslands is still lacking. By reviewing pub-lished literature, this study aims to evaluate ecosystem C stocks (both vegetation biomass and soil organic C) and their changes in China’s grasslands. Our results are summarized as follows: (1) biomass C density (C stock per area) of China’s grasslands differed greatly among previous studies, ranging from 215.8 to 348.1 g C m −2 with an average of 300.2 g C m −2 . Likewise, soil C density also varied greatly between 8.5 and 15.1 kg C m −2 . In total, ecosystem C stock in China’s grasslands was estimated at 29.1 Pg C. (2) Both the magnitude and direction of ecosystem C changes in China’s grasslands differed greatly among previous studies. According to recent reports, neither biomass nor soil C stock in China’s grasslands showed a significant change during the past 20 years, indicating that grassland ecosystems are C neutral. (3) Spatial patterns and temporal dynamics of grassland biomass were closely correlated with precipitation, while changes in soil C stocks exhibited close associations with soil moisture and soil texture. Human activities, such as livestock grazing and fencing could also affect ecosystem C dynamics in China’s grasslands.read more
Citations
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Dynamics and controls of ecosystem multiserviceability across the Qingzang Plateau
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Climatic and Topographical Factors Affecting the Vegetative Carbon Stock of Rangelands in Arid and Semiarid Regions of China
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Aboveground Biomass in China’s Managed Grasslands and Their Responses to Environmental and Management Variations
TL;DR: Wang et al. as mentioned in this paper used a meta-data analysis approach to assess the responses of aboveground biomass (AGB) to anthropogenic factors, in addition to a suite of natural variables including climate, soil, and topography.
References
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Temperature sensitivity of soil carbon decomposition and feedbacks to climate change
TL;DR: This work has suggested that several environmental constraints obscure the intrinsic temperature sensitivity of substrate decomposition, causing lower observed ‘apparent’ temperature sensitivity, and these constraints may, themselves, be sensitive to climate.
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The carbon balance of terrestrial ecosystems in China
TL;DR: It is found that northeast China is a net source of CO2 to the atmosphere owing to overharvesting and degradation of forests, and southern China accounts for more than 65 per cent of the carbon sink, which can be attributed to regional climate change, large-scale plantation programmes active since the 1980s and shrub recovery.
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Ecosystem stability and compensatory effects in the Inner Mongolia grassland
TL;DR: The study provides new insights for better management and restoration of the rapidly degrading Inner Mongolia grassland and corroborate some previous findings of compensatory effects.
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Variations in satellite-derived phenology in China's temperate vegetation.
TL;DR: In this article, the authors investigated the possible impact of recent climate changes on growing season duration in the temperate vegetation of China, using the advanced very high resolution radiometer (AVHRR)/normalized difference vegetation index (NDVI) biweekly time-series data collected from January 1982 to December 1999 and concurrent mean temperature and precipitation data.
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Primary production and rain use efficiency across a precipitation gradient on the Mongolia Plateau.
Yongfei Bai,Jianguo Wu,Jianguo Wu,Qi Xing,Qingmin Pan,Jianhui Huang,Dianling Yang,Xingguo Han +7 more
TL;DR: The results clearly indicate that the patterns of both ANPP and RUE are scale dependent, and the seemingly conflicting patterns of RUE in space vs. time suggest distinctive underlying mechanisms, involving interactions among precipitation, soil N, and biotic factors.