Spatiotemporal variation of vegetation coverage before and after implementation of Grain for Green Program in Loess Plateau, China

Zhao, Anzhou; Zhang, Anbing; Lu, Chunxia; Wang, Dongli; Wang, Hefeng; Liu, Haixin

doi:10.1016/j.ecoleng.2017.03.013

Cited by 116 publications

(51 citation statements)

References 40 publications

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“…Vegetation is one of the most critical elements of terrestrial ecosystems and plays an important role in material cycling and energy flow [1][2][3][4]. Spatiotemporal variations in vegetation growth can affect the terrestrial carbon cycle and other biochemical processes [5], thus explaining why the study of its dynamics is an emerging issue in the field of environmental analysis.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Climate on Spatiotemporal Variations in Vegetation NDVI from 1982–2015 in Inner Mongolia, China

et al. 2019

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By using the Global Inventory Modeling and Mapping Studies (GIMMS) third-generation normalized difference vegetation index (NDVI3g) data, this paper explores the spatiotemporal variations in vegetation and their relationship with temperature and precipitation between 1982 and 2015 in the Inner Mongolia region of China. Based on yearly scale data, the vegetation changes in Inner Mongolia have experienced three stages from 1982 to 2015: the vegetation activity kept a continuous improvement from 1982–1999, then downward between 1999–2009, and upward from 2009 to 2015. On the whole, the general trend is increasing. Several areas even witnessed significant vegetation increases: in the east and south of Tongliao and Chifeng, north of Xing’anmeng, north and west of Hulunbir, and in the west of Inner Mongolia. Based on monthly scale data, one-year and half-year cycles exist in normalized difference vegetation index (NDVI) and temperature but only a one-year cycle in precipitation. Finally, based on the one-year cycle, the relationship between NDVI and climatic were studied; NDVI has a significant positive correlation with temperature and precipitation, and temperature has a greater effect in promoting vegetation growth than precipitation. Moreover, based on a half-year changing period, NDVI is only affected by temperature in the study region. Those findings can serve as a critical reference for grassland managers or policy makers to make informed decisions on grassland management.

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Section: Introductionmentioning

confidence: 99%

Impacts of Climate on Spatiotemporal Variations in Vegetation NDVI from 1982–2015 in Inner Mongolia, China

et al. 2019

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“…The greenness of vegetation in the Loess Plateau has significantly increased during the past three decades [36][37][38]. Zhao et al [39] found that China's "Grain for Green" (GFG) Program was largely responsible for vegetation greening and the control of soil and water losses in the Loess Plateau. Similar studies also indicated that vegetation cover on the Loess Plateau was significantly improved after the implementation of GFG [38,40,41].…”

Section: Introductionmentioning

confidence: 99%

Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau

et al. 2019

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Human activities are critical factors influencing ecosystem sustainability. However, knowledge on regarding the mechanisms underlying the response of vegetation dynamics to human activities remains limited. To detect the driving factors and their individual contribution to the grassland vegetation dynamics in China’s Loess Plateau, a structural equation model (SEM) and a principal component regression model were built. The SEM showed that population change and urbanization, temperature and humidity, and agriculture and economy accounted for 62.5%, 31.2%, and 7.7%, respectively, of the overall impact directly affecting grassland vegetation dynamics. Furthermore, the principal component regression model demonstrated that the effects of the urbanization rate on the grassland above-ground biomass exceeded those of the other factors. The agriculture population had the maximum negative effect on grassland area. The higher the urbanization rate means the higher the number of residents migrates from rural to urban areas. Following this argument, the disturbances of human activities to grassland vegetation were expected to gradually decrease in rural areas, where the vast majority of the Loess Plateau is located. The migration of rural residents to urban areas promoted the increase in biomass and areas of grassland vegetation. Our findings suggest that the effect of urbanization should be considered when assessing vegetation change.

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“…This may be related to farmer willingness to participate in ecological protection policy. Zhao et al (2017)…”

Section: Relationship Between Ndvi Changes and Ecosystem Policiesmentioning

confidence: 99%

“…Afforestation area was a positive driving factor, indicating that the artificial afforestation had achieved good results. Afforestation area was also used to stand for the effect of ecological protection policies in previous research, with a correlation coefficient of 0.73 between NDVI and it (Zhao et al, 2017 Stepwise regression analysis and household survey showed that the ecological protection policy played an important role in promoting vegetation restoration in Yanchi. As the basic resource users and policy participants, the willingness of farmers will directly affect the results of ecosystem restoration policies (Li et al, 2010).…”

Section: Determinants Of Ndvi Changes In Case Areamentioning

confidence: 99%

Spatiotemporal variations of vegetation and its determinants in the National Key Ecological Function Area on Loess Plateau between 2000 and 2015

Huang

Zhang

et al. 2019

Ecology and Evolution

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China defined 25 National Key Ecological Function Areas in 2010 and adopted various measures to support ecosystem restoration in these areas. During the process of environment policymaking, it is important to observe the variation of vegetation and its driving factors. In this paper, we chose the National Key Ecological Function Area (NKEFA) on Loess Plateau as the study area. Based on MODIS‐NDVI data between 2000 and 2015, the trend analysis was used to depict the change in NDVI and the stepwise regression analysis method was used to quantitatively assess its determinants. The results show that: (a) The vegetation coverage in study area was low in the northwest and high in the southeast, corresponding to the distribution of precipitation and temperature. (b) NDVI in the growing season increased remarkably from 0.2841 in 2000 to 0.4199 in 2015 with a linear tendency of 0.085/10a. About 71.22% of the study area experienced an extremely significant increasing of NDVI, while only 0.03% of the total area suffered from significant decreasing of NDVI. (c) Compared to climatic factors, ecosystem conservation policies, and labor transfer contributed more to the vegetation changes in the study area. In order to ensure ecological security and sustainable development in these areas, it is necessary to maintain the continuity of ecological compensation policy. Moreover, developing targeted eco‐compensation policies and encouraging farmers to participate in nonfarm employment are effective ways to reach a win–win outcome of reducing the ecosystem pressure and improving the welfare of rural households.

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Spatiotemporal variation of vegetation coverage before and after implementation of Grain for Green Program in Loess Plateau, China

Cited by 116 publications

References 40 publications

Impacts of Climate on Spatiotemporal Variations in Vegetation NDVI from 1982–2015 in Inner Mongolia, China

Impacts of Climate on Spatiotemporal Variations in Vegetation NDVI from 1982–2015 in Inner Mongolia, China

Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau

Spatiotemporal variations of vegetation and its determinants in the National Key Ecological Function Area on Loess Plateau between 2000 and 2015

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