Tethyan Ocean was initially proposed by Austrian geologist Eduard Suess in 1893. The study of the Tethyan evolution by European geologists has led to the development of modern geology, but not to the establishment of ...Tethyan Ocean was initially proposed by Austrian geologist Eduard Suess in 1893. The study of the Tethyan evolution by European geologists has led to the development of modern geology, but not to the establishment of plate tectonics theory(Trümpy, 2001). With the progress in various studies, the concept of Tethys has evolved from a Mesozoic ocean into three long-term evolving oceans:Proto-Tethys, Paleo-Tethys, and Neo-Tethys (Figure 1), and their life cycles cover the entire Phanerozoic era (Wu et al., 2020).展开更多
Historical biome changes on the Tibetan Plateau provide important information that improves our understanding of the alpine vegetation responses to climate changes.However,a comprehensively quantitative reconstruction...Historical biome changes on the Tibetan Plateau provide important information that improves our understanding of the alpine vegetation responses to climate changes.However,a comprehensively quantitative reconstruction of the historical Tibetan Plateau biomes is not possible due to the lack of quantitative methods that enable appropriate classification of alpine biomes based on proxy data such as fossil pollen records.In this study,a pollen-based biome classification model was developed by applying a random forest algorithm(a supervised machine learning method)based on modern pollen assemblages on and around the Tibetan Plateau,and its robustness was assessed by comparing its results with the predictions of the biomisation method.The results indicated that modern biome distributions reconstructed using the random forest model based on modern pollen data generally concurred with the observed zonal vegetation.The random forest model had a significantly higher accuracy than the biomisation method,indicating the former is a more suitable tool for reconstructing alpine biome changes on the Tibetan Plateau.The random forest model was then applied to reconstruct the Tibetan Plateau biome changes from 22 ka BP to the present based on 51 fossil pollen records.The reconstructed biome distribution changes on the Tibetan Plateau generally corresponded to global climate changes and Asian monsoon variations.In the Last Glacial Maximum,the Tibetan Plateau was mainly desert with subtropical forests distributed in the southeast.During the last deglaciation,the alpine steppe began expanding and gradually became zonal vegetation in the central and eastern regions.Alpine meadow occupied the eastern and southeastern areas of the Tibetan Plateau since the early Holocene,and the forest-meadow-steppe-desert pattern running southeast to northwest on the Tibetan Plateau was established afterwards.In the mid-Holocene,subtropical forests extended north,which reflected the“optimum”condition.During the late Holocene,alpine meadows and alpine steppes expanded south.展开更多
Surface nanostructures(surface ion track)such as multiple nanodots or/and groove could be produced by single heavy ions(SHIs),when some materials are irradiated with SHIs under grazing incidence.The creation of equall...Surface nanostructures(surface ion track)such as multiple nanodots or/and groove could be produced by single heavy ions(SHIs),when some materials are irradiated with SHIs under grazing incidence.The creation of equally spaced nanodots on the surface of the irradiated SrTiO_(3)single crystal with grazing SHIs was previously explained as the periodic oscillation of electronic energy loss^([1]).展开更多
Peatlands, though covering only 3% of the earth surface, contain 300–400 pg carbon (C) and account for ∼30% of the global soil C pool [1], [2]. Global warming would influence the CH4 release from peatlands through a...Peatlands, though covering only 3% of the earth surface, contain 300–400 pg carbon (C) and account for ∼30% of the global soil C pool [1], [2]. Global warming would influence the CH4 release from peatlands through accelerating the fermentation of large quantities of long-accumulated soil organic carbon to CH4 by microorganisms particularly methanogens [3]. However, the ultimate CH4 budget in peatlands under the global warming scenario is also determined by changes in the CH4 oxidation activity of the methanotrophs [4]. Thus, identifications of active methanogens and methanotrophs, as well as their metabolic potentials in peatlands, are essential for understanding the overall peatland feedback to global warming.展开更多
文摘Tethyan Ocean was initially proposed by Austrian geologist Eduard Suess in 1893. The study of the Tethyan evolution by European geologists has led to the development of modern geology, but not to the establishment of plate tectonics theory(Trümpy, 2001). With the progress in various studies, the concept of Tethys has evolved from a Mesozoic ocean into three long-term evolving oceans:Proto-Tethys, Paleo-Tethys, and Neo-Tethys (Figure 1), and their life cycles cover the entire Phanerozoic era (Wu et al., 2020).
基金supported by the National Natural Science Foundation of China(Grant No.41690113)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA20070101)the National Natural Science Foundation of China(Grant Nos.42071114,41977395,and 41671202)。
文摘Historical biome changes on the Tibetan Plateau provide important information that improves our understanding of the alpine vegetation responses to climate changes.However,a comprehensively quantitative reconstruction of the historical Tibetan Plateau biomes is not possible due to the lack of quantitative methods that enable appropriate classification of alpine biomes based on proxy data such as fossil pollen records.In this study,a pollen-based biome classification model was developed by applying a random forest algorithm(a supervised machine learning method)based on modern pollen assemblages on and around the Tibetan Plateau,and its robustness was assessed by comparing its results with the predictions of the biomisation method.The results indicated that modern biome distributions reconstructed using the random forest model based on modern pollen data generally concurred with the observed zonal vegetation.The random forest model had a significantly higher accuracy than the biomisation method,indicating the former is a more suitable tool for reconstructing alpine biome changes on the Tibetan Plateau.The random forest model was then applied to reconstruct the Tibetan Plateau biome changes from 22 ka BP to the present based on 51 fossil pollen records.The reconstructed biome distribution changes on the Tibetan Plateau generally corresponded to global climate changes and Asian monsoon variations.In the Last Glacial Maximum,the Tibetan Plateau was mainly desert with subtropical forests distributed in the southeast.During the last deglaciation,the alpine steppe began expanding and gradually became zonal vegetation in the central and eastern regions.Alpine meadow occupied the eastern and southeastern areas of the Tibetan Plateau since the early Holocene,and the forest-meadow-steppe-desert pattern running southeast to northwest on the Tibetan Plateau was established afterwards.In the mid-Holocene,subtropical forests extended north,which reflected the“optimum”condition.During the late Holocene,alpine meadows and alpine steppes expanded south.
基金National Key research and Development Program of China(2022YFB3604001)National Natural Science Foundation of China(12075290,12035019)Youth Innovation Promotion Association of CAS(2020412)。
文摘Surface nanostructures(surface ion track)such as multiple nanodots or/and groove could be produced by single heavy ions(SHIs),when some materials are irradiated with SHIs under grazing incidence.The creation of equally spaced nanodots on the surface of the irradiated SrTiO_(3)single crystal with grazing SHIs was previously explained as the periodic oscillation of electronic energy loss^([1]).
基金supported by the Strategic Priority Research Program A of the Chinese Academy of Sciences (CAS) (XDA20050104)the Joint CAS-MPG Research Project (HZXM20225001MI)+2 种基金the National Natural Science Foundation of China (42041005)the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program (2019QZKK0304)the Fundamental Research Funds for the Central Universities。
文摘Peatlands, though covering only 3% of the earth surface, contain 300–400 pg carbon (C) and account for ∼30% of the global soil C pool [1], [2]. Global warming would influence the CH4 release from peatlands through accelerating the fermentation of large quantities of long-accumulated soil organic carbon to CH4 by microorganisms particularly methanogens [3]. However, the ultimate CH4 budget in peatlands under the global warming scenario is also determined by changes in the CH4 oxidation activity of the methanotrophs [4]. Thus, identifications of active methanogens and methanotrophs, as well as their metabolic potentials in peatlands, are essential for understanding the overall peatland feedback to global warming.