This page has only limited features, please log in for full access.
The authors were not aware of errors made in the proofreading phase, and, hence, wish to make the following corrections to this paper
Jie Xu; Gaodi Xie; Yu Xiao; Na Li; Fuqin Yu; Sha Pei; Yuan Jiang. Correction: Xu J., et al. Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China. Sustainability 2018, 10, 1202. Sustainability 2018, 10, 3987 .
AMA StyleJie Xu, Gaodi Xie, Yu Xiao, Na Li, Fuqin Yu, Sha Pei, Yuan Jiang. Correction: Xu J., et al. Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China. Sustainability 2018, 10, 1202. Sustainability. 2018; 10 (11):3987.
Chicago/Turabian StyleJie Xu; Gaodi Xie; Yu Xiao; Na Li; Fuqin Yu; Sha Pei; Yuan Jiang. 2018. "Correction: Xu J., et al. Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China. Sustainability 2018, 10, 1202." Sustainability 10, no. 11: 3987.
The shortage of water resources is a key factor limiting the sustainability of the economy and society. Most of the 25 National Key Ecological Function Areas (NKEFAs) in China serve as a source and supplementation for numerous rivers and playing an important role in water resource conservation. Based on the analysis of eco-environmental quality changes in NKEFAs, this study analyzed the spatial pattern of water conservation services in 2000 and 2010 by using a water balance equation. The results indicate that the land cover type of NKEFAs was dominated by grassland, and the proportion of ecological land conversion to non-ecological land (0.3%) was higher than that of non-ecological land conversion to ecological land (0.21%). The fractional vegetation coverage (FVC) and biomass density of NKEFAs gradually decreased from southeast to northwest. The FVC of the Changbai Mountain Forest Function Area (CBS) was the highest, while the biomass density and total biomass were highest in mountain areas in the Middle of Hai’nan Island (HND) and in the Great Khingan and Lesser Khingan Mountains (XAL) respectively. The FVC and biomass of NKEFAs mostly increased in 2000–2010. Water conservation amounts of NKEFAs decreased from southeast to northwest. The average water conservation and total water conservation amount of Nanling Mountain (NL), Guangxi-Guizhou-Yunnan (GQD), and the Wuling Mountain Function Area (WLS) were the highest, while the Yinshan Mountain (YS), Alkin Grassland (AEJ), and the Qilian Mountain Function Area (QLS) had the lowest values. In 2000–2010, the water conservation service of 60% of NKEFAs decreased. Spatial and temporal differences in water conservation services are the result of a combination of ecological environment quality and meteorological conditions. Protection of the ecological environment and vegetation coverage improvement should be strengthened to enhance the function of water conservation.
Jie Xu; Gaodi Xie; Yu Xiao; Na Li; Fuqin Yu; Sha Pei; Yuan Jiang. Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China. Sustainability 2018, 10, 1202 .
AMA StyleJie Xu, Gaodi Xie, Yu Xiao, Na Li, Fuqin Yu, Sha Pei, Yuan Jiang. Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China. Sustainability. 2018; 10 (4):1202.
Chicago/Turabian StyleJie Xu; Gaodi Xie; Yu Xiao; Na Li; Fuqin Yu; Sha Pei; Yuan Jiang. 2018. "Dynamic Analysis of Ecological Environment Quality Combined with Water Conservation Changes in National Key Ecological Function Areas in China." Sustainability 10, no. 4: 1202.
In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) data and the multiple linear regression model were used to estimate distribution of biomass resources in 2010. The establishment of models, developed using different vegetation biomass sample data, normalized difference vegetation index (NDVI), leaf area index (LAI), meteorological data, coordinates, terrain data, and statistical data. Results based on a cross-validation approach show that the model can explain 95.6% of the variance in biomass, with a relative estimation error of 67 g·m−2 for a range of biomass between 0–73,875 g·m−2. Spatial statistic results were consistent with the practical condition in most cases. The above- and below-ground biomass (ABGB) of China was estimated to be 31.1 Pg (1 Pg = 1015 g) in 2010. The forest ecosystem has the largest total biomass, which represents about 70% of the whole terrestrial ecosystem. The desert ecosystem has minimum biomass value. The Belowground Endowment (BRE) varied differently in spatial distribution, with the high values occurring in the southeast and northeast. The low values were primarily distributed in north and northwest regions, where it is mostly desert and few plants. Biomass per capita indicates the availability of natural resources per capita. Tibet had the maximum biomass per capita (807 tone in 2010). Shanghai and Tianjin had the minimum biomass per capita, less than 500 kg. Shanghai, Tianjin, Guangzhou, Beijing, and Hainan had negative growth of biomass per capita.
Na Li; Gaodi Xie; Changshun Zhang; Yu Xiao; Biao Zhang; Wenhui Chen; Yanzhi Sun; Shuo Wang. Biomass Resources Distribution in the Terrestrial Ecosystem of China. Sustainability 2015, 7, 8548 -8564.
AMA StyleNa Li, Gaodi Xie, Changshun Zhang, Yu Xiao, Biao Zhang, Wenhui Chen, Yanzhi Sun, Shuo Wang. Biomass Resources Distribution in the Terrestrial Ecosystem of China. Sustainability. 2015; 7 (7):8548-8564.
Chicago/Turabian StyleNa Li; Gaodi Xie; Changshun Zhang; Yu Xiao; Biao Zhang; Wenhui Chen; Yanzhi Sun; Shuo Wang. 2015. "Biomass Resources Distribution in the Terrestrial Ecosystem of China." Sustainability 7, no. 7: 8548-8564.
A biologically productive area was used in the ecological footprint method to measure the demand and impact of human activities on the natural capital, and further, to judge whether the impact is within the scope of the regional bio-capacity. In this presentation, an indicator “ecological footprint distance (Def)” is proposed. The results indicated that the proposed indicator Def could identify the outward extension of a city’s ecological footprint with the city’s rapid expansion. From 2008 to 2012, the proportion of imported bio-capacity increased approximately from 48% to 64%, which implied that the ecological impact of Beijing had expanded year by year. The Def of Beijing increased from 567 km in 2008 to 677 km in 2012, with an average annual increase of about 25 km. From the perspective of seasonal change, Beijing’s ecological footprint distance in winter and spring was much higher than in summer and fall. The main features of provincial-spatial distribution of Beijing’s Def were as follows: grain and oil and meat and eggs were mainly supplied by Heilongjiang, Jilin, Liaoning, Hebei and Inner Mongolia; yet vegetable and fruit were mainly supplied by Hainan, Guangdong, Hebei and Shandong. Measures should be taken to decentralize the sources of imported bio-capacity, so as to ensure a sustainable development in Metropolitan cities.
Gaodi Xie; Wenhui Chen; Shuyan Cao; Chunxia Lu; Yu Xiao; Changshun Zhang; Na Li; Shuo Wang. The Outward Extension of an Ecological Footprint in City Expansion: The Case of Beijing. Sustainability 2014, 6, 9371 -9386.
AMA StyleGaodi Xie, Wenhui Chen, Shuyan Cao, Chunxia Lu, Yu Xiao, Changshun Zhang, Na Li, Shuo Wang. The Outward Extension of an Ecological Footprint in City Expansion: The Case of Beijing. Sustainability. 2014; 6 (12):9371-9386.
Chicago/Turabian StyleGaodi Xie; Wenhui Chen; Shuyan Cao; Chunxia Lu; Yu Xiao; Changshun Zhang; Na Li; Shuo Wang. 2014. "The Outward Extension of an Ecological Footprint in City Expansion: The Case of Beijing." Sustainability 6, no. 12: 9371-9386.