Redlines for the greening of China

Lü, Yihe; Ma, Zhen; Zhang, Liwei; Fu, Bojie; Gao, Guangyao

doi:10.1016/j.envsci.2013.05.007

Cited by 80 publications

(37 citation statements)

References 55 publications

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“…Any activity of construction and development will be prohibited within ecological redline areas. Focusing on the large territories covered by the ecological redline policy, rather than the protection of hotspots, will help the city planners and managers in knowing the spatially explicit boundaries of where there can be an orderly development and where there must be strict protection [13,46].…”

Section: Clue-s Modelmentioning

confidence: 99%

Simulating Spatial-Temporal Changes of Land-Use Based on Ecological Redline Restrictions and Landscape Driving Factors: A Case Study in Beijing

Jia

Zhang

et al. 2018

Sustainability

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Abstract:A change in the usage of land is influenced by a variety of driving factors and policies on spatial constraints. On the basis of considering the conventional natural and socio-economic indicators, the landscape pattern indicators were considered as new driving forces in the conversion of land use and its effects at small regional extent (CLUE-S) model to simulate spatial and temporal changes of land-use in Beijing. Compared with traditional spatial restrictions characterized by small and isolated areas, such as forest parks and natural reserves, the ecological redline areas increase the spatial integrity and connectivity of ecological and environmental functions at a regional scale, which were used to analyze the distribution patterns and behaviors of land use conversion in the CLUE-S model. The observed results indicate that each simulation scenario has a Kappa coefficient of more than 0.76 beyond the threshold value of 0.6 and represents high agreements between the actual and simulated land use maps. The simulation scenarios including landscape pattern indicators are more accurate than those without consideration of these new driving forces. The simulation results from using ecological redline areas as space constraints have the highest precision compared with the unrestricted and traditionally restricted scenarios. Therefore, the CLUE-S model based on the restriction of ecological redline and the consideration of landscape pattern factors has shown better effectiveness in simulating the future land use change. The conversion of land use types mainly occurred between construction land and cropland during the period from 2010 to 2020. Meanwhile, a large number of grasslands are being changed to construction lands in the mountain towns of northwest Beijing and large quantities of water bodies have disappeared and been replaced by construction lands due to rapid urbanization in the eastern and southern plains. To improve the sustainable use of land resources, it is necessary to adopt the construction and development mode of satellite towns rather than encouraging a disorderly expansion of downtown areas.

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Section: Clue-s Modelmentioning

confidence: 99%

Simulating Spatial-Temporal Changes of Land-Use Based on Ecological Redline Restrictions and Landscape Driving Factors: A Case Study in Beijing

Jia

Zhang

et al. 2018

Sustainability

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“…Vegetation restoration is the primary task of ecological rehabilitation here under the "Grain to Green Program" in the Loess Plateau of China [1], aiming to reverse the existing farmlands to their original grassland or woodland condition. Currently, the ecological restoration of the Loess Plateau has led to significant achievements such as increases in vegetation coverage, decreases in soil erosion, and enhancement of ecosystem services [2,3].…”

Section: Introductionmentioning

confidence: 99%

Spatial Variations of Soil Moisture under Caragana korshinskii Kom. from Different Precipitation Zones: Field Based Analysis in the Loess Plateau, China

Liu¹,

Zhao²,

Wang³

et al. 2016

Forests

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Soil moisture scarcity has become the major limiting factor of vegetation restoration in the Loess Plateau of China. The aim of this study is: (i) to compare the spatial distribution of deep (up to 5 m) soil moisture content (SMC) beneath the introduced shrub Caragana korshinskii Kom. under different precipitation zones in the Loess Plateau and (ii) to investigate the impacts of environmental factors on soil moisture variability. Soil samples were taken under C. korshinskii from three precipitation zones . We found that the highest soil moisture value was in the 0-0.1 m layer with a large coefficient of variation. The soil water storage under different precipitation zones increased following the increase of precipitation (i.e., Semiarid-350 < Semiarid-410 < Semiarid-470), although the degree of SMC variation was different for different precipitation zones. The SMC in the Semiarid-350 zone initially increased with soil depth, and then decreased until it reached the depth of 2.8-m. The SMC in the Semiarid-410 zone showed a decreasing trend from the top soil to 4.2-m depth. The SMC in the Semiarid-470 zone firstly decreased with soil depth, increased, and then decreased until it reached 4.6-m depth. All SMC values then became relatively constant after reaching the 2.8-m, 4.2-m, and 4.6-m depths for Semiarid-350, Semiarid-410, and Semiarid-470, respectively. The low but similar SMC values at the stable layers across the precipitation gradient indicate widespread soil desiccation in this region. Our results suggested that water deficit occurred in all of the three precipitation zones with precipitation, latitude, field capacity, and bulk density as the main environmental variables affecting soil moisture. Considering the correlations between precipitation, SMC and vegetation, appropriate planting density and species selection should be taken into account for introduced vegetation management.

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“…Therein, environmental costs of China's food security, due to the overuse and misuse of synthetic nitrogen fertilizers and manure, ranges between 7-10% of China's agricultural GDP (Norse and Ju, 2015). So environment protection has become the main strategy to mitigate these problems so as to ensure the sustainable development of this country (Lü et al, 2013). Therein, over 12% of global land surface was assigned as protected areas for maintaining ecological function and ecological services (McDonald and Boucher, 2011).…”

Section: A N U S C R I P Tmentioning

confidence: 99%

Evaluating the trends of China's ecological civilization construction using a novel indicator system

Zhang

Wang

Yan

et al. 2016

Journal of Cleaner Production

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Redlines for the greening of China

Cited by 80 publications

References 55 publications

Simulating Spatial-Temporal Changes of Land-Use Based on Ecological Redline Restrictions and Landscape Driving Factors: A Case Study in Beijing

Simulating Spatial-Temporal Changes of Land-Use Based on Ecological Redline Restrictions and Landscape Driving Factors: A Case Study in Beijing

Spatial Variations of Soil Moisture under Caragana korshinskii Kom. from Different Precipitation Zones: Field Based Analysis in the Loess Plateau, China

Evaluating the trends of China's ecological civilization construction using a novel indicator system

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