The vegetation cover dynamics (1982–2006) in different erosion regions of the Yellow River Basin, China

Miao, Chiyuan; Yang, Lin; Chen, X. H.; Gao, Yan

doi:10.1002/ldr.1050

Cited by 121 publications

(80 citation statements)

References 38 publications

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“…This relationship was evident within a season and in the previous seasons (Fig. 4) probably because the main vegetation type in the semi-humid region is cropland, which is mainly on relatively flat terrain where human interference (e.g., irrigation) is common; thus, crop growth seldom depends on precipitation (Miao et al 2012). Temperature could thus be the limiting factor for vegetation growth.…”

Section: Discussionmentioning

confidence: 91%

“…Zhang et al (2006) showed that water and temperature on the plateau are important along both latitudinal and longitudinal gradients. Vegetation growth trends have changed significantly in many parts of the plateau over the last three decades (Miao et al 2012;Xin et al 2008); thus, understanding the responses of vegetation growth to climatic changes is critical and so is predicting the future interactions between the terrestrial ecosystems and the climate system in this region.…”

Section: Introductionmentioning

confidence: 99%

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Vegetation dynamics and climate change on the Loess Plateau, China: 1982–2011

et al. 2015

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Monitoring the dynamics of vegetation growth and its response to climate change is important to understand the mechanisms underlying ecosystem behaviors. This study investigated the relationship between vegetation growth and climate change during the growing seasons on the Loess Plateau in China by analyzing the normalized difference vegetation index (NDVI) derived from the Land Long Term Data Record dataset from 1982 to 2011. Results showed that growing-season NDVI had increased at an annual rate of 0.0028, particularly in the semi-arid and semi-humid regions. By contrast, the NDVI first increased from 1982 to 1994 (0.0013 year -1 , P \ 0.05) and then decreased from 1994 to 2011 (0.0016 year -1 , P \ 0.05) in the arid region. Temperature had a positive effect on NDVI in most periods within and across seasons in the semi-humid region but had no significant effect in the arid region. Precipitation had a positive effect on NDVI in the arid region in summer and in the semi-arid region in autumn. Summer precipitation was important for autumn vegetation growth in the arid region, whereas summer temperature increased autumn vegetation growth in the semi-arid and semi-humid regions. Further analyses supported the lag-time effects of climate change on vegetation growth on the Loess Plateau. Precipitation shifts had 15-to 18-month time lag effects on vegetation growth in the three climate regions. Vegetation NDVI had a 17-month lag response to temperature in the semi-arid region. Human activities should not be neglected in analyzing the relationship between vegetation growth and climate change on the Loess Plateau.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Vegetation dynamics and climate change on the Loess Plateau, China: 1982–2011

et al. 2015

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“…Annual precipitation distribution and Vegetation coverage are taken as the representations of the group of Natural Environment, which usually play important roles in landslide occurrence [42,43].…”

Section: In Natural Environment Groupmentioning

confidence: 99%

Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment

Wang

Huang

et al. 2015

Sustainability

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Landslides are usually initiated under complex geological conditions. It is of great significance to find out the optimal combination of predisposing factors and create an accurate landslide susceptibility map based on them. In this paper, the Information Value Model was modified to make the Modified Information Value (MIV) Model, and together with GIS (Geographical Information System) and AUC (Area Under Receiver Operating Characteristic Curve) test, 32 factor combinations were evaluated separately, and factor combination group with members Slope, Lithology, Drainage network, Annual precipitation, Faults, Road and Vegetation was selected as the optimal combination group with an accuracy of 95.0%. Based on this group, a landslide susceptibility zonation map was drawn, where the study area was reclassified into five classes, presenting an accurate description of different levels of landslide susceptibility, with 79.41% and 13.67% of the validating field survey landslides falling in the Very High and High zones, respectively, mainly distributed in the south and southeast of the catchment. It showed that MIV model can tackle the problem of "no data in subclass" well, generate the true information value and show real running trend, which performs well in showing the relationship between predisposing factors and landslide occurrence and can be used for preliminary landslide susceptibility assessment in the study area.

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“…Several experiments in the middle reaches of the Yellow River basin show that reforestation can reduce surface runoff by 30.8-75.1%, and grass plantingby 17.2-58.9% (Xu and Niu 2000). The vegetation cover in the Yellow River basin (expressed as NDVI) increased by the rate of 0.075% per year from 1982 to 2006 (Miao et al 2012), due to the "Grain for Green (GFG)" programme, and it has increased further since 1999.…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal variability of streamflow in the Yellow River: possible causes and implications

Miao

Shi

Chen

et al. 2012

Hydrological Sciences Journal

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The water shortage in the Yellow River, China, has been aggravated by rapid population growth and global climate changes. To identify the characteristics of streamflow change in the Yellow River, approximately 50 years of natural and observed streamflow data from 23 hydrological stations were examined. The Mann-Kendall and Pettitt tests were used to detect trends and abrupt change points. The results show that both the natural and the observed streamflow in the Yellow River basin present downward trends from 1956 to 2008, and the decreasing rate of observed streamflow is generally faster than that of the natural streamflow. Larger drainage areas have higher declining rates, and the declining trends are intensified downstream within the mainstream. The possibility of abrupt changes in observed streamflow is higher than in natural streamflow, and streamflow series in the mainstream are more likely to change abruptly than those in the tributaries. In the mainstream, all the significant abrupt changes appear in the middle and latter half of the 1980s, but the abrupt changes occur somewhat earlier for observed streamflow than for natural streamflow. The significant abrupt change for the observed streamflow in the tributaries is almost isochronous with the natural streamflow and occurs from the 1970s to 1990s. It is implied that the slight reduction in precipitation is not the only direct reason for the streamflow variation. Other than the effects of climate change, land-use and land-cover changes are the main reasons for the natural streamflow change. Therefore, the increasing net water diversion by humans is responsible for the observed streamflow change. It is estimated that the influence of human activity on the declining streamflow is enhanced over time.Key words streamflow; trend; abrupt change; Yellow River, China Causes éventuelles et implications de la variabilité spatio-temporelle des débits du fleuve JauneRésumé La pénurie d'eau dans le fleuve Jaune, en Chine, a été aggravée par la croissance rapide de la population et les changements climatiques. Pour identifier les caractéristiques du changement des débits dans le fleuve Jaune, près de 50 ans de données sur les débits naturels et observés à partir de 23 stations hydrologiques ont été examinés. Les tests de Mann-Kendall et de Pettitt ont été utilisés pour détecter les tendances et les points de changement brusques. Les résultats montrent que tant l'écoulement naturel que l'écoulement observé dans le bassin du fleuve Jaune présentent des tendances à la baisse de 1956 à 2008, et que le taux de diminution du débit observé est généralement plus rapide que celui du débit naturel. Les grandes surfaces de drainage présentent des taux de diminution plus élevés, et les tendances à la baisse sont intensifiés en aval dans le bief principal. La probabilité de changements abrupts dans le débit observé est supérieure à celle de l'écoulement naturel, et la série des débits dans le bief principal est plus susceptible de changer brusquement que celles des affluents...

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The vegetation cover dynamics (1982–2006) in different erosion regions of the Yellow River Basin, China

Cited by 121 publications

References 38 publications

Vegetation dynamics and climate change on the Loess Plateau, China: 1982–2011

Vegetation dynamics and climate change on the Loess Plateau, China: 1982–2011

Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment

Spatio-temporal variability of streamflow in the Yellow River: possible causes and implications

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