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2. Geochemical evidence for Holocene millennial-scale climatic and environmental changes in the south-eastern Mu Us Desert, northern China.
- Author
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Liu, Bing, Jin, Heling, Sun, Liangying, Sun, Zhong, and Zhao, Shuang
- Subjects
- *
CLIMATE change , *GLOBAL environmental change , *MONSOONS , *OSCILLATIONS , *DESERTS - Abstract
Deserts and sandylands that are located in the semi-arid and arid regions in the middle latitudes of the Northern Hemisphere are usually regarded as environmentally sensitive change belts which respond to global climatic change. In northern China, activation or immobilization of sand dunes is mainly influenced by humid and dry variation and is related to stronger or weaker Asian monsoons. In this paper, the history of Holocene millennial-scale climatic and environmental change is reconstructed by the systematic analysis of the geochemical element contents and parameters, along with the OSL and C chronologies, from the different lithologies of the palaeosol-aeolian sand sequence in the south-eastern Mu Us Desert, northern China. Our results indicate that the region was dominated by a dry climate with intensive aeolian activity before 7.2 ka BP, and there was an optimal humid climate and fixed desert in 7.2-4.6 ka. Afterwards, the dune fields became mobile again as the effective humidity declined. Additionally, six dry events were discovered with times of ~7.2, 7.0-6.8, 6.6-5.7, 4.6-4.1, 3.7-3.5, and 3.3-2.5 ka, which were not only coincident with the intervals of millennial-scale weaker Asian summer monsoons, but also accordant with the cold events evidenced in the ice cores and deep-sea deposits of the high latitudes in the Northern Hemisphere. In general, the Holocene climatic and environmental changes had the characteristics of the 'monsoonal mode' and 'abrupt millennial-scale oscillation' in the Mu Us Desert. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
3. Progress and perspective on frontiers of geobiology.
- Author
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Xie, ShuCheng and Yin, HongFu
- Subjects
- *
GEOBIOLOGY , *COEVOLUTION , *EARTH science education , *GLOBAL environmental change , *PALEOECOLOGY - Abstract
Geobiology is a new discipline on the crossing interface between earth science and life science, and aims to understand the interaction and co-evolution between organisms and environments. On the basis of the latest international achievements, the new data presented in the Beijing geobiology forum sponsored by Chinese Academy of Sciences in 2013, and the papers in this special issue, here we present an overview of the progress and perspectives on three important frontiers, including geobiology of the critical periods in Earth history, geomicrobes and their responses and feedbacks to global environmental changes, and geobiology in extreme environments. Knowledge is greatly improved about the close relationship of some significant biotic events such as origin, radiation, extinction, and recovery of organisms with the deep Earth processes and the resultant environmental processes among oceans, land, and atmosphere in the critical periods, although the specific dynamics of the co-evolution between ancient life and paleoenvironments is still largely unknown. A variety of geomicrobial functional groups were found to respond sensitively to paleoenvironmental changes, which enable the establishment of proxies for paleoenvironmental reconstruction, and to play active roles on the Earth environmental changes via elemental biogeochemical cycles and mineral bio-transformations, but to be deciphered are the mechanisms of these functional groups that change paleoenvironmental conditions. Microbes of potential geobiology significance were found and isolated from some extreme environments with their biological properties partly understood, but little is known about their geobiological functions to change Earth environments. The biotic processes to alter or modify the environments are thus proposed to be the very issue geobiology aims to decipher in the future. Geobiology will greatly extend the temporal and spatial scope of biotic research on Earth and beyond. It has great potential of application in the domains of resource exploration and global change. To achieve these aims needs coordinative multidisciplinary studies concerning geomicrobiology and related themes, database and modeling of biogeochemical cycles, typical geological environments, and coupling of biological, physical, and chemical processes. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
4. Spatial variability on vegetation parameters in Longitudinal Range-Gorge Region.
- Author
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Dai Ertu, Wu Shaohong, Li Shuangcheng, Wang Suiji, Zhou Changhai, and Hao Chenyuan
- Subjects
- *
VEGETATION mapping , *ANISOTROPY , *GLOBAL environmental change , *SPATIAL variation , *ECOLOGY - Abstract
Study on pattern and change on land cover stands an important aspect to global change. The spatial characteristics of ecological system show some familiar or disfamiliar principle with up-scaling or down-scaling process, which can be defined as spatial autocorrelation. In this paper, four typical parameters of ecological features, say Gross Primary Product (GPP), Net Primary Product (NPP), Normalized Difference Vegetation Index (NDVI), and Enhanced Vegetation Index (EVI), are selected to investigate the spatial variability on vegetative features in Longitudinal Range-Gorge Region (LRGR), Southwest China. Moran coefficient (MC) is calculated for spatial autocorrelation degree, and semivariance function is used for spatial variability and spatial heterogeneity analysis. The results show that: (1) the ecological features show negative autocorrelation in the whole region. The higher anisotropy is on north-south direction, and then on southeast-northwest direction. (2) The spatial variability scale is great on vegetative features in the whole region. (3) The autocorrelation distance on north-south direction is the greatest, then on southwest-northeast direction. Through the above analysis it can be found that the vegetative features are consistent with direction of landform in LRGR, which is shown on higher auto-correlation on south-north direction, and lower on west-east direction. [ABSTRACT FROM AUTHOR]
- Published
- 2006
- Full Text
- View/download PDF
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