Evaluating the Performance of the Greenbelt Policy in Beijing Using Multi-Source Long-Term Satellite Observations from 2000 to 2020

被引:2
作者
Gong, Fang-Ying [1 ,2 ]
Wang, Chao [1 ,3 ]
机构
[1] Renmin Univ China, Sch Publ Adm & Policy, Beijing 100872, Peoples R China
[2] Renmin Univ China, Digital Govt & Natl Governance Lab, Beijing 100872, Peoples R China
[3] Nat Resources Bur Zhangqiu Dist, Jinan 250200, Peoples R China
关键词
greenbelt policy; NDVI; fixed effects regression; policy evaluation; Beijing; VEGETATION DYNAMICS; VARIABILITY; GREENSPACE; IMAGES; SLOPE; INDEX;
D O I
10.3390/rs15194766
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Beijing is among the first cities in China to implement a greenbelt policy to improve urban vegetation, which plays a crucial role in enhancing the urban ecological environment. The policies have shown remarkable results. However, long-term evaluation of the performance of the greenbelt policies in Beijing has not been carried out in order to quantitatively evaluate their effectiveness. In this study, long-term satellite observations of the normalized difference vegetation index (NDVI), land surface temperature, precipitation, and night-light from 2000 to 2020 are used to investigate the spatio-temporal variabilities in NDVI and explore the mechanisms of the impacts of the greenbelt policies in Beijing. The main results are as follows: (1) From 2000 to 2020, the overall NDVI in Beijing exhibited an upward trend, with the proportion of high-NDVI (>0.8) areas increasing from 26.18% in 2000 to 53.64% in 2020. The proportion of low-NDVI (<0.2) areas continued to decrease from 0.64% in 2000 to 0.2% in 2020. (2) The 1st Greenbelt Zone shows a significant increase in its NDVI (with an average increase of 0.296 units in the NDVI at district level), indicating that the policy's implementation had a notable effect, while the 2nd Greenbelt Zone was mainly in a degraded state and a declining trend, indicating that its performance fell short of expectations. (3) During the preparation for the 2008 Summer Olympics, while the 1st Greenbelt Zone had a slightly negative effect on NDVI improvement, probably due to urban re-construction, the 2nd Greenbelt Zone showed a significant positive effect, leading to an increase of 0.013 units in the NDVI at district level. In addition, the correlation analysis shows that an increase in annual average land surface temperature leads to a decrease in the NDVI, while annual precipitation has a positive relationship with NDVI changes. This study highlights the importance of long-term satellite observations in evaluating the performance of greenbelt policies in Beijing. The evaluation approach developed in this study can be readily applied to similar cities globally.
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页数:23
相关论文
共 45 条
[1]  
Allison P.D., 2009, Fixed effect regression models, DOI DOI 10.4135/9781412993869
[2]  
Beijing Municipal Government, 2003, No. 15 The Approavel from Beijing Municipal Government on the Proposal of Establishing the Second Greenbelt
[3]  
Beijing Municipal Government, 2000, No. 7 Opinions on Accelerating the Construction of Green Belt Areas in Beijing
[4]  
Beijing Municipal Government, 1994, No. 7 The Approval from Beijing Municipal Government on the Proposal from Beijing Municipal Commission Regarding Designation of the Greenbelt
[5]  
Bengston DN, 2006, ECOL SOC, V11
[6]   Urban greening to cool towns and cities: A systematic review of the empirical evidence [J].
Bowler, Diana E. ;
Buyung-Ali, Lisette ;
Knight, Teri M. ;
Pullin, Andrew S. .
LANDSCAPE AND URBAN PLANNING, 2010, 97 (03) :147-155
[7]   Urbanization alters spatiotemporal patterns of ecosystem primary production: A case study of the Phoenix metropolitan region, USA [J].
Buyantuyev, A. ;
Wu, J. .
JOURNAL OF ARID ENVIRONMENTS, 2009, 73 (4-5) :512-520
[8]   Determinizing the contributions of human activities and climate change on greening in the Beijing-Tianjin-Hebei Region, China [J].
Cao, Wei ;
Wu, Dan ;
Huang, Lin ;
Pan, Mei ;
Huhe, Taoli .
SCIENTIFIC REPORTS, 2021, 11 (01)
[9]   Evaluation of compositing algorithms over the Brazilian Amazon using SPOT-4 VEGETATION data [J].
Carreiras, JMB ;
Pereira, JMC ;
Shimabukuro, YE ;
Stroppiana, D .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (17) :3427-3440
[10]   Elucidating the impact of temperature variability and extremes on cereal croplands through remote sensing [J].
Duncan, John M. A. ;
Dash, Jadunandan ;
Atkinson, Peter M. .
GLOBAL CHANGE BIOLOGY, 2015, 21 (04) :1541-1551