Driving force and changing trends of vegetation phenology in the Loess Plateau of China from 2000 to 2010

Wang, Hao; Li, Guohua; Li, Zong-shan; Ye, Xin; Wang, Meng; Gong, Li

doi:10.1007/s11629-015-3465-2

Cited by 30 publications

(29 citation statements)

References 49 publications

(48 reference statements)

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“…These results indicate that the climate in the study area is becoming warmer and drier, which leads to drought, as Li et al and Zhao et al reported [76,77]. In a water-limited area, the spatial distribution of precipitation determines the vegetation distribution and growth [9]. Zhang et al pointed out that, compared with other areas that suffered drought, precipitation in the northern part of the Jinghe River basin is relatively sufficient, which is likely to be the reason that vegetation restoration dominated by climate factors is concentrated in that area [78].…”

Section: Driving Forcessupporting

confidence: 60%

“…However, it is difficult to distinguish the influence of these two driving factors when both function in the process of vegetation growth [7]. Particularly in arid and semi-arid regions such as the Loess Plateau, the water-limited environment makes the vegetation there highly sensitive to changes in temperature and precipitation [8,9], and high-intensity human activities easily may lead to degradation of the local vegetation [10][11][12][13]. To improve the ecological environment, the local government has implemented a series of ecological restoration programs, such as the Grain for Green region [46].…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Driving Forces in Vegetation Dynamics Using Net Primary Productivity as the Indicator: A Case Study in Jinghe River Basin in the Loess Plateau

Wang

Liu

et al. 2018

Forests

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An objective and effective method to distinguish the influence of climate change and human activities on vegetation dynamics has great significance in the design and implementation of ecosystem restoration projects. Based on the Moderate Resolution Imaging Spectroradiometer (MODIS) remote data and the Miami and Carnegie-Ames-Stanford Approach (CASA) model, this study simulated and used net primary productivity (NPP) as an indicator to identify vegetation dynamics and their driving forces in the Jinghe River basin from 2000 to 2014. The results showed that: (1) The vegetation in the Jinghe River basin, which accounted for 84.4% of the study area, showed an increasing trend in NPP; (2) Human activities contributed most to vegetation restoration, which accounted for 54.5% of the areas; 24.0% of the areas showed an increasing trend in the NPP that was dominated by climate factors. Degradation dominated by human activities accounted for 4.3% of the study area, and degradation dominated by climate factors resulted in 17.2%; (3) The rate of vegetation degradation in areas dominated by climate factors rose with increased slope, where the arid climate caused shortages of water resources, and the human-dominated vegetation restoration activities exacerbated the vegetation's water demand further, which surpassed the carrying capacity of regional water resources and led ultimately to vegetation degradation. We recommend that future ecological restoration programs pay more attention to maintaining the balance between ecosystem restoration and water resource demand to maximize the benefits of human activities and ensure the vegetation restoration is ecologically sustainable.

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Section: Driving Forcessupporting

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Assessing the Driving Forces in Vegetation Dynamics Using Net Primary Productivity as the Indicator: A Case Study in Jinghe River Basin in the Loess Plateau

Wang

Liu

et al. 2018

Forests

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“…The timing and length of growing season are important for agricultural production, ecological security, and human activities [3,13,19]. Both observations and model simulations show a decrease in the number of frost days and an increase in the length of the growing season in the second half of the twentieth century [1].…”

Section: Discussionmentioning

confidence: 99%

A Comparison of Thermal Growing Season Indices for the Northern China during 1961–2015

Cui

Shi

2017

Advances in Meteorology

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Vegetation phenology is one of the most direct and sensitive indicators of terrestrial ecosystem in response to climate change. Based on daily mean air temperature at 877 meteorological stations over northern China from 1961 to 2015, the correlations and differences for different definitions of the growing season parameters (start, end, and length of the growing season) were investigated, and results show that higher correlations of 0.81-0.93 are found when indices which do not consider frost are compared with those of the same length which include the frost criteria, and lower correlations of 0.63-0.79 are observed when the length of indices is different and one of the indices includes the frost criteria or EI 3 (10 d < 5 ∘ C) is included. Lower correlations and larger differences are generally observed in the eastern and northwestern parts while higher correlation and smaller difference appeared in the northeastern and southwestern parts of northern China; thus the applicability comparison and selection of different definitions have important influence on the identifying and counting of the timing and length of the growing season in the eastern and northwestern regions of northern China.

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“…For example, increased temperature and precipitation have extended the growing season of the vegetation in the Loess Plateau. However, if the rainfall fails to offset the increased evapotranspiration caused by the warming climate, the length of the growing season will be shortened [22]. On the other hand, human activity also affects vegetation growth [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China

Wang

et al. 2017

Sustainability

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The Chinese government introduced six ecological restoration programs to improve its natural environment. Although these programs have proven successful in improving local environmental conditions, some studies have questioned their effectiveness when regions suffer from extreme weather conditions. Using the Grain for Green Program (GGP) region as a study area, we estimated vegetation activities in the GGP region from 2000 to 2010 to clarify the trends in vegetation growth and their driving forces. The results showed that: (1) vegetation activities improved in the GGP region during 2000-2010, with 58.94% of the area showing an increased trend in the NDVI (normalized difference vegetation index); (2) 26.33% of the increased vegetation was caused by human interference, and 11.61% by climate variation, human activity was the dominant cause, and resulted in 54.68% of the degradation compared to 4.74% from climate change; and, (3) the contribution of different land use types to the NDVI interannual variations showed that high contribution regions were focused in the arid and semiarid areas, where the vegetation growth is associated with variations in precipitation and temperature. However, conversions between farmland and grassland or forest had a significant effect on the change in the NDVI trend. Therefore, although climate conditions can affect vegetation growth, human activities are more important in vegetation changes, and appropriate human activities would contribute to its continual improvement. Hence, we recommend establishing an assessment and scientific management mechanism for eco-risks in the design and management of ecosystem restoration programs.

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Driving force and changing trends of vegetation phenology in the Loess Plateau of China from 2000 to 2010

Abstract: Abstract

Cited by 30 publications

References 49 publications

Assessing the Driving Forces in Vegetation Dynamics Using Net Primary Productivity as the Indicator: A Case Study in Jinghe River Basin in the Loess Plateau

Assessing the Driving Forces in Vegetation Dynamics Using Net Primary Productivity as the Indicator: A Case Study in Jinghe River Basin in the Loess Plateau

A Comparison of Thermal Growing Season Indices for the Northern China during 1961–2015

Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China

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