scholarly journals Spatial-Temporal Variation Characteristics and Influencing Factors of Vegetation in the Yellow River Basin from 2000 to 2019

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1576
Author(s):  
Peirong Shi ◽  
Peng Hou ◽  
Jixi Gao ◽  
Huawei Wan ◽  
Yongcai Wang ◽  
...  

Vegetation is a crucial and intuitive index that can be used to evaluate the ecological status. Since the 20th century, land use has changed significantly in Yellow River Basin (YRB), along with great changes of vegetation, serious soil erosion, and gradual ecological deterioration. To improve the ecological environment in the YRB, China has carried out a series of ecological protection projects since the 1970s. Therefore, long-term sequence monitoring of vegetation in YRB is necessary to show the conservation effect and better support the further protection and restoration. This study analysed vegetation changes from 2000 to 2019 based on an annual mean fractional vegetation cover (FVC) dataset. The Theil–Sen median trend analysis method was used to analyse trends in FVC. The results showed that the vegetation in the YRB has improved significantly, with an average annual growth rate of 0.65%, and the ‘green line’ of vegetation has moved approximately 300 km westward. The influence of climate on vegetation is essential; therefore, this study also analysed the influence of temperature and precipitation on vegetation over time and space. Ecological control and afforestation are important anthropogenic factors that affect vegetation. The growth trend (0.6%/a) in key ecological function regions (KEFRs) was the fastest, and even though the protection measures are not strict, they provide space for afforestation. The China Ecological Conservation Red Line (CECRL) and the national nature reserves (NNRs) showed relatively flat trends. Ecological afforestation projects were closely correlated with the growth trend of the FVC. The correlation between FVC and the intensity of ecological engineering was significant in typical areas.

Author(s):  
Yanhong Zhao ◽  
Peng Hou ◽  
Jinbao Jiang ◽  
Jun Zhai ◽  
Yan Chen ◽  
...  

The coupling and coordination relationship between ecology and the economy in the Yellow River Basin is a hot topic in sustainable development research. Said research has important guiding significance for the ecological security and comprehensive development of the Yellow River Basin. Taking the Yellow River Basin as the object of our study, based on the data of the economy, energy consumption data, ecology data and water resources data, we construct an indicator system of the economic development and ecological status of the Yellow River Basin and use the principal component analysis method to calculate the economic development and ecological status index. Then, we use the evaluation method, the coupling degree model and the coupling coordination degree model to analyze the time and space evolution trends of economic development and ecological state, coupling degree and coupling coordination degree. The results show that: (1) From 2000 to 2018, the economic development index of the Yellow River Basin rose steadily; the ecological status index showed a slow rise and then a downward trend. (2) The degree of coupling between economic development and ecological state has been considered as intensity coupling after 2005. The coupling trend slowly increased and then decreased, indicating that the interaction effect between the economy and ecology was first significantly enhanced and then slowly weakened. (3) The degree of coupling coordination increased from 0.2994 to 0.6266 and then decreased to 0.5917, reflecting the continuous improvement of the relationship between the regional economy and the ecological environment and the trend toward coordination. From 2015 to 2018, due to the gradual increase in the difference between economic development and ecological conditions, the coupling and coordination between the two decreased. Studies have shown that ecological construction and protection should be strengthened to ease the contradiction between the economy and ecology and achieve coordinated development.


Author(s):  
Qin Nie ◽  
Jianhua Xu

The paper examined the vegetation coverage dynamic and its response to climate elements in Yellow River Basin from 1998 to 2008 by an integrated approach made from series methods including correlation analysis, wavelet analysis, and wavelet regression analysis. The main findings are as follows: (1) Vegetation coverage exhibited significant, positive correlation with temperature and precipitation, but negative correlation with sunshine hours and relative humidity at some sites. The correlation between NDVI and precipitation is closest, followed respectively by temperature, relative humidity, and sunshine hours. Precipitation and temperature are the two major climate elements affecting vegetation coverage dynamics. (2) The vegetation coverage dynamics reflected by NDVI time series presented nonlinear variations that depended on the time-scale. Precipitation and temperature both presented nonlinear variations that were morphologically similar with those of NDVI. These further supported the close relationship between NDVI and these two climate elements from a new perspective. (3) Although NDVI, temperature, and precipitation revealed nonlinear variations at different time scales, the vegetation coverage showed a significantly, positively linear correlation with temperature and precipitation at all the time scales under examination.


Author(s):  
Qin Nie ◽  
Jianhua Xu

The paper examined the vegetation coverage dynamic and its response to climate elements in Yellow River Basin from 1998 to 2008 by an integrated approach made from series methods including correlation analysis, wavelet analysis, and wavelet regression analysis. The main findings are as follows: (1) Vegetation coverage exhibited significant, positive correlation with temperature and precipitation, but negative correlation with sunshine hours and relative humidity at some sites. The correlation between NDVI and precipitation is closest, followed respectively by temperature, relative humidity, and sunshine hours. Precipitation and temperature are the two major climate elements affecting vegetation coverage dynamics. (2) The vegetation coverage dynamics reflected by NDVI time series presented nonlinear variations that depended on the time-scale. Precipitation and temperature both presented nonlinear variations that were morphologically similar with those of NDVI. These further supported the close relationship between NDVI and these two climate elements from a new perspective. (3) Although NDVI, temperature, and precipitation revealed nonlinear variations at different time scales, the vegetation coverage showed a significantly, positively linear correlation with temperature and precipitation at all the time scales under examination.


Atmosphere ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 433 ◽  
Author(s):  
Liqun Ma ◽  
Haoming Xia ◽  
Jiulin Sun ◽  
Hao Wang ◽  
Gary Feng ◽  
...  

The Yellow River Basin has been affected by global climate change. Studying the spatial–temporal variability of the hydrothermal climate conditions in the Yellow River Basin is of vital importance for the development of technologies and policies related to ecological, environmental, and agricultural adaptation in this region. This study selected temperature and precipitation data observed from 118 meteorological stations distributed in the Yellow River Basin over the period of 1957–2015, and used the Mann–Kendall, Pettitt, and Hurst indices to investigate the spatial–temporal variability of the hydrothermal climate conditions in this area. The results indicated: (1) the annual maximum, minimum, and average temperatures have increased. The seasonal maximum, minimum, and average temperatures for the spring, summer, autumn, and winter have also increased, and this trend is statistically significant (p < 0.01) between 1957–2015. The rate of increase in the minimum temperature exceeded that of the maximum temperature, and diurnal warming was asymmetric. Annual precipitation and the total spring, summer, and autumn precipitations declined, while the total winter precipitation increased, although the trend was non-significant (p > 0.05). (2) Based on the very restrictive assumption that future changes will be similar to past changes, according to the Hurst index experiment, the future trends of temperature and precipitation in the Yellow River Basin are expected to stay the same as in the past. There will be a long-term correlation between the two trends: the temperature will continue to rise, while the precipitation will continue to decline (except in the winter). However, over the late stage of the study period, the trends slowed down to some extent.


Author(s):  
Dongyang Xiao ◽  
Haipeng Niu ◽  
Jin Guo ◽  
Suxia Zhao ◽  
Liangxin Fan

The significant spatial heterogeneity among river basin ecosystems makes it difficult for local governments to carry out comprehensive governance for different river basins in a special administrative region spanning multi-river basins. However, there are few studies on the construction of a comprehensive governance mechanism for multi-river basins at the provincial level. To fill this gap, this paper took Henan Province of China, which straddles four river basins, as the study region. The chord diagram, overlay analysis, and carbon emission models were applied to the remote sensing data of land use to analyze the temporal and spatial patterns of carbon storage caused by land-use changes in Henan Province from 1990 to 2018 to reflect the heterogeneity of the contribution of the four basins to human activities and economic development. The results revealed that food security land in the four basins decreased, while production and living land increased. Ecological conservation land was increased over time in the Yangtze River Basin. In addition, the conversion from food security land to production and living land was the common characteristic for the four basins. Carbon emission in Henan increased from 134.46 million tons in 1990 to 553.58 million tons in 2018, while its carbon absorption was relatively stable (1.67–1.69 million tons between 1990 and 2018). The carbon emitted in the Huai River Basin was the main contributor to Henan Province’s total carbon emission. The carbon absorption in Yellow River Basin and Yangtze River Basin had an obvious spatial agglomeration effect. Finally, considering the current need of land spatial planning in China and the goal of carbon neutrality by 2060 set by the Chinese government, we suggested that carbon sequestration capacity should be further strengthened in Yellow River Basin and Yangtze River Basin based on their respective ecological resource advantages. For future development in Hai River Basin and Huai River Basin, coordinating the spatial allocation of urban scale and urban green space to build an ecological city is a key direction to embark upon.


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