scholarly journals Evaluation of Landscape Ecological Integrity in the Yulin Region, China

2018 ◽  
Vol 10 (11) ◽  
pp. 4300
Author(s):  
Yuqiong Shi ◽  
Ninglian Wang ◽  
Tuansheng Li ◽  
Han Wang ◽  
Huanhuan Kang ◽  
...  
Keyword(s):  
Complex Structure ◽  
Ecological Integrity ◽  
Landscape Fragmentation ◽  
Shaanxi Province ◽  
Self Organization ◽  
Ecological Sensitivity ◽  
Grain For Green ◽  
Organization Capacity ◽  
Grain For Green Project ◽  
Landscape Ecological

We developed a framework and an index to evaluate landscape ecological integrity. The framework was applied to the Yulin region (Shaanxi Province, China) to evaluate its overall ecological integrity and the effect of the Grain for Green Project on landscape ecological integrity. Landscape ecological integrity (LEI) is the ability of an ecosystem to maintain its self-organization capacity, stability, and diversity in structure and function. A landscape having high ecological integrity has three major characteristics: complex structure, high self-organization capacity, and a high level of stability. The LEI can be evaluated using five indicators: landscape fragmentation, connectance, ecological sensitivity, diversity, and vegetation productivity. The results indicate that the LEI in the Yulin region was relatively low during the period from 2000 to 2015. From 2000 to 2005, areas of very low and low LEI decreased, and areas of moderate and high LEI increased. From 2005 to 2010, areas of low and high LEI decreased, and areas of moderate LEI increased. Furthermore, from 2010 to 2015, areas of very low and low LEI increased, and areas of moderate and high LEI decreased. Overall, the LEI of the region was low, but increased between 2000 and 2010, and decreased between 2010 and 2015. On the basis of these findings, we conclude that the Grain for Green Project in the Yulin region has been successful in improving regional LEI.

An ecological benefit assessment of the Grain for Green Project in Shaanxi Province

2018 ◽  
Vol 38 (16) ◽  
Author(s):  
刘胜涛 LIU Shengtao ◽  
牛香 NIU Xiang ◽  
王兵 WANG Bing ◽  
宋庆丰 SONG Qingfeng ◽  
陶玉柱 TAO Yuzhu
Keyword(s):  
Benefit Assessment ◽  
Shaanxi Province ◽  
Grain For Green ◽  
Ecological Benefit ◽  
Grain For Green Project

Landscape Ecological Pattern Evolution of ShenMu County in Northern Shaanxi Province

2012 ◽  
Vol 450-451 ◽  
pp. 1065-1068
Author(s):  
Xiao Juan Ren ◽  
Xiao Jian Chen
Keyword(s):  
Landscape Pattern ◽  
Landscape Fragmentation ◽  
Shaanxi Province ◽  
Landscape Indicators ◽  
Evolution Characteristics ◽  
Change Characteristics ◽  
Northern Shaanxi ◽  
Landscape Ecological ◽  
Gis Software ◽  
Ecological Pattern

In this paper, the evolution characteristics of landscape ecological pattern of Shenmu County are addressed based on the principles and methods of landscape ecology and the spatial analysis of GIS and Fragstats in order to maintain and improve the landscape pattern in this region as well as provide support for planning. Firstly, the typical TM / ETM images in 1989, 2002 and 2006 are pro-processed based on GIS software to analyze the land use / cover change process in Shenmu county, and then the change characteristics of landscape pattern are analyzed by landscape indicators. The results demonstrate that the regional differences among different landscape types enlarge gradually, the landscape fragmentation and heterogeneity increase constantly, and the landscape diversity and evenness decrease over the past years.

Evolution Characteristics and Simulation Prediction of Forest and Grass Landscape Fragmentation Based on the “Grain for Green” Projects on the Loess Plateau, P.R. China

2021 ◽  
Author(s):  
Li Gu ◽  
Zhiwen Gong ◽  
Yuankun Bu
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Loess Plateau ◽  
Global Climate Change ◽  
Global Climate ◽  
Landscape Fragmentation ◽  
The Loess Plateau ◽  
Grain For Green ◽  
Grain For Green Project ◽  
The Impact

Abstract Forest fragmentation is one of the major environmental issues that the international community is generally concerned about under the background of global climate change. Studying the impact and the interaction mechanism of land use change processes on landscape fragmentation is important to gaining a comprehensive understanding of the ecosystem response to human activities and global climate change. Based on the implementation background for the “Grain for Green” Project, we selected the Loess Plateau as the research area and used the coupled future land use simulation (FLUS) model and landscape fragmentation model to explore the temporal and spatial changes in forest and grass landscape fragmentation. The results showed that (1) Woodland, grassland, and cropland are the main landscape types, accounting for about 90% of the total area. In addition, the area of cropland initially increased and then decreased, while the area of woodland and grassland exhibited the opposite trend Oover the last 35 years. In particular, the period from 2000 to 2015 was a forest and grass restoration stage, and the average annual rate of forest and grass restoration reached 0.56%. (2) The FLUS model was used to predict the land use on the Loess Plateau in 2030. The kappa coefficient was 0.85, and the figure of merit coefficient (FOM) was 0.11 for a 1% random sampling, which are within a reasonable range, and the simulation results are also consistent with the objective change in the current social and economic development. (3) The fragmentation of woodland and grassland were dominated by edge type and core type. The core type had a concentrated distribution and an absolute advantage, accounting for more than 75% of the total area. It is predicted that the landscape fragmentation will gradually slowdown in 2030 under different intensities of the “Grain for Green” project. The dynamics of landscape fragmentation based on land use changes are conducive to the reasonable planning and objective evaluation of woodland and grassland spatial allocation and quality improvement, and provide an important basis for the formulation of ecological protection and land management policies.

scholarly journals Soil Erosion Reduction by Grain for Green Project in Desertification Areas of Northern China

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 473 ◽  
Author(s):  
Wenjun Wei ◽  
Bing Wang ◽  
Xiang Niu
Keyword(s):  
Ecological Integrity ◽  
Northern China ◽  
Distribution Patterns ◽  
Water Erosion ◽  
Forest Types ◽  
Desert Ecosystems ◽  
Grain For Green ◽  
Grain For Green Project ◽  
Strong Winds ◽  
Dust Retention

The Grain for Green Project (GGP) encompasses most desertification areas in northern China where fragile soils are susceptible to erosion given the arid and semi-arid climate, low vegetation cover, and strong winds. We collected relevant data through ecological surveys and literature review to quantify total sand fixation and dust retention in 2015 based on different restoration methods, forest types, ecological function zones, and key desertification areas. Our results showed that cropland and wasteland afforestation increased sand fixation and dust retention, whereas facilitate afforestation was less effective in doing so. Further, sand fixation and dust retention values were higher in ecological and shrub forests compared with economic forests, as well as in wind erosion zones compared with wind-water erosion and water erosion zones. Moreover, 43.28% and 44.75% of total sand fixation and dust retention, respectively, were concentrated in important windbreak and sand fixation areas. Similarly, 60% and 30% of total sand fixation and dust retention, respectively, occurred in sandstorm paths and sources. Lastly, policy factors primarily influenced the spatial distribution patterns of both sand fixation and dust retention. Based on these results, enhancement of GGP efficacy into the future will rely on increased restoration efforts specifically aimed at planting more drought-resistant shrubs and native vegetation as doing so will enhance sand fixation, dust retention, and thus, the ecological integrity of these valuable and fragile desert ecosystems in northern China.

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