Vegetation dynamics and factor analysis in arid and semi-arid Inner Mongolia

Miao, Lijuan; Jiang, Chong; Xue, Baolin; Liu, Qiang; He, Bin; Nath, Reshmita; Cui, Xuefeng

doi:10.1007/s12665-014-3582-1

Cited by 59 publications

(35 citation statements)

References 30 publications

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“…Because the growing season NDVI is better correlated to climate change than the annual NDVI [26], we construct a multiple linear regression relationship between NDVI and climate change during the growing season (from April to October) in Equation (1). It is based on the assumption that the surface vegetation NDVI correlates directly with the temperature and precipitation, which is supported by previous studies focusing on the dry lands [13,27,28]. The land degradation area is defined as the area of potential desertification among all of the areas in the following calculation [7].…”

Section: Datasetsmentioning

confidence: 97%

Future Climate Impact on the Desertification in the Dry Land Asia Using AVHRR GIMMS NDVI3g Data

Miao

et al. 2015

Remote Sensing

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Dry Land Asia is the largest arid and semi-arid region in the northern hemisphere that suffers from land desertification. Over the period 1982-2011, there were both overall improvement and regional degeneration in the vegetation NDVI. We analyze future climate changes in these area using two ensemble-average methods from CMIP5 data. Bayesian Model Averaging shows a better capability to represent the future climate and less uncertainty represented by the 22-model ensemble than does the Simple Model Average. From 2006 to 2100, the average growing season temperature value will increase by 2.9 °C, from 14.4 °C to 17.3 °C under three climate scenarios (RCP 26, RCP 45 and RCP 85). We then conduct multiple regression analysis between climate changes compiled from the Climate Research Unit database and vegetation greenness from the GIMMS NDVI3g dataset. There is a general acceleration in the desertification trend under the RCP 85 scenario in middle and northern part of Middle Asia, northwestern China except Xinjiang and the Mongolian Plateau (except the middle part). The RCP 85 scenario shows a more severe desertification trend than does RCP 26. Desertification in dry land Asia, OPEN ACCESSRemote Sens. 2015, 7 3864 particularly in the regions highlighted in this study, calls for further investigation into climate change impacts and adaptations.

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Section: Datasetsmentioning

confidence: 97%

Future Climate Impact on the Desertification in the Dry Land Asia Using AVHRR GIMMS NDVI3g Data

Miao

et al. 2015

Remote Sensing

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“…Arid and semi-arid regions are the most fragile terrestrial ecosystems and present increased sensitivity to climate change and human activities [4]. Changes in the water resources in headwater regions have severely threatened the sustainable development of downstream river basins [2,[5][6][7][8]; therefore, determining the variability of stream runoff has become essential to water resources management and ecosystem restoration [9,10].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Meng

Huang

et al. 2016

Water

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Abstract:Since the flow variations of Aksu River are strongly influenced by climate change and human activities which threat the local ecosystem and sustainable development, it is necessary to quantify the impact degree of the driving factors. Therefore, this study aims to quantify the impacts of climate change and human activities on the variability of runoff in the Aksu River Basin. The Mann-Kendall trend test and accumulative anomaly method were used to detect the break points of the flow difference value (FDV) between the upstream and downstream flume stations. The improved slope change ratio of cumulative quantity (SCRCQ) method and the Soil and Water Assessment Tool (SWAT) model were applied to decouple the contribution of each driving factor to the FDV variations. Furthermore, a Pearson Correlation Analysis was performed to show the relationships among the driving factors and the FDV. The time series prior to the year (1988) of break point was considered as the baseline period. Based on the annual precipitation and the potential evapotranspiration (PET), the relative impacts of precipitation, PET and human activities on FDV variations as determined by the SCRCQ method were 77.35%,´0.98% and 23.63%, respectively. In addition, the SWAT model indicated that climate factors and human activities were responsible for 92.28% and 7.72% of the variability, respectively. Thus, climate change and human activities showed a similar scale of impact on FDV changes.

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“…This may be because that various eco-environmental restoration projects have been implemented since 1983 [44,45] and gradually shown a long-term positive effect on the environmental quality. Furthermore, UL (except marsh land) overtaken by water body expansion, and reclaiming UL (except marsh land) for farmland also brought about an important positive effect on the regional environmental quality, with an increasing contribution rate from 7.71% and 2.98%, to 14.96% and 16.30%, respectively.…”

Section: Factors Improving the Eco-environmentmentioning

confidence: 99%

“…Local governments and landholders paid gradually more attention to improvement of eco-environment construction, to limitation of developing land and promotion of intensive land use than ever before. Actually, the Chinese government has implemented several ecological restoration projects since 20th century [44,45], including several soil conservation projects managed by the Ministry of Water Resources of the People's Republic of China since 1983, the returning farmland to forests or grassland project since 1999, the grazing forbidden project since 2003 [49], the Beijing-Tianjin Sandstorm Source Area Comprehensive Control program since 1998, the Grain for Green project, the Wetland Protection project since 1998 and Three-North Protective Forest Program since 2001. Obviously, the implementation of these projects generated a significant impact on regional eco-environment, which was reflected in the change of total EL value from´62.50% to´37.63% in response to UL changes.…”

Section: Socio-economic Factors and Relevant Policiesmentioning

confidence: 99%

Have Changes to Unused Land in China Improved or Exacerbated Its Environmental Quality in the Past Three Decades?

et al. 2016

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Abstract:Inappropriate land use has caused a series of environmental disasters such as floods and sand storms, and some of them involved unused land changes with highly localized distributions in arid and semi-arid regions with fragile ecosystems. As the third-rank category of first-level land use/cover in China, unused land (UL) is now playing an increasingly important role in protection of the natural environment and sustainable utilization of land resources. In this article, we assessed the effects on regional eco-environments employing a quantitative EL (ecological effect index) model, which can be used to evaluate and represent the contribution of UL changes to the eco-environmental quality. Results show that UL changes generally contributed to the deterioration of eco-environmental quality during the study period. Some major contributors to improving eco-environmental quality were transformation of sandy land and saline-alkali lands to grasslands, expansion of water bodies in UL areas, and reclamation of farmland in UL areas (except for marsh lands). In contrast, the main contributors to worsening eco-environmental quality were grassland degradation to UL (except marshes), reclamation of marsh areas, and shrinkage of water bodies to leave desert or saline-alkali land. Some suggestions are provided about UL management, utilization, and protection issues.

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Vegetation dynamics and factor analysis in arid and semi-arid Inner Mongolia

Cited by 59 publications

References 30 publications

Future Climate Impact on the Desertification in the Dry Land Asia Using AVHRR GIMMS NDVI3g Data

Future Climate Impact on the Desertification in the Dry Land Asia Using AVHRR GIMMS NDVI3g Data

Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin

Have Changes to Unused Land in China Improved or Exacerbated Its Environmental Quality in the Past Three Decades?

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