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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (4) : 82-89     DOI: 10.6046/gtzyyg.2018.04.13
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Mapping the key ecological service regions of mountains based on remote sensing and GIS
Yao LI1, Chengming YE2(), Qiang XIE3, Li LIANG1
1. Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
2. Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China
3. Sichuan Provincial Research Academy of Environmental Protection Sciences, Chengdu 610041, China
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Abstract  

Mapping and protecting the key ecological service regions has been considered as the basis of the development of the society and economy. With the development of remote sensing (RS) and geographic information system (GIS) technology, this technique has been applied to monitoring the ecological environment and evaluating the ecological services. This paper proposes an approach to calculating the efficiency index of protection and mapping the key ecological service regions in the situation where the index is maximal. As a application, Wanyuan, the typical mountain region, was examined. The results show that the key ecological service regions cover a total area of 2 651.99 km 2, accounting for 65.4% of the study area. And it could be concluded that the key ecological service regions are distributed from steep slopes [15°,35°) where the elevation is more than 800 meters. The results suggest management to increase the efforts on protection. This paper can provide technical support for mapping the key ecological service regions of mountains.

Keywords mountain region      RS and GIS      efficiency index of protection      key ecological service regions     
:  TP79  
Corresponding Authors: Chengming YE     E-mail: rsgis@sina.com
Issue Date: 07 December 2018
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Yao LI
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Cite this article:   
Yao LI,Chengming YE,Qiang XIE, et al. Mapping the key ecological service regions of mountains based on remote sensing and GIS[J]. Remote Sensing for Land & Resources, 2018, 30(4): 82-89.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.04.13     OR     https://www.gtzyyg.com/EN/Y2018/V30/I4/82
Fig.1  Coverage of study area
Fig.2  Image interpretation of study area
Fig.3  Flowchart of methodology
胁迫因子 最大胁迫距离/km 权重 衰退
居住地 1.50 0.60 0
工矿交通 3.00 0.75 0
耕地 0.50 0.35 0
Tab.1  Ecological threat factor
生态系
统类型		 适宜生物
栖息分数		 居住地 工矿交通 耕地
林地 1.00 0.80 0.75 0.70
灌木丛 0.80 0.80 0 0.20
园地 0.80 0.80 0 0.20
水域 1.00 0.90 0 0.85
耕地 0.40 0 0 0.40
居住地 0 0 0 0
工矿交通 0 0 0 0
裸地 0.10 0.20 0.40 0.10
Tab.2  Sensitivity of ecosystems to each threat factor
Ⅱ级分类 Y Ⅱ级分类 Y
林地 0.39 耕地 0.16
灌木丛 0.273 居住地 0.12
园地 0.24 工矿交通 0.1
水域 1 裸地 0.14
Tab.3  Benefit coefficient of the ecological system to reduce runoff
Fig.4  Assessment results of study area
生态系统
类型		 水土保持
量/万t		 占水土保持总
量百分比/%		 水源涵养
量/亿t		 占水源涵养总
量百分比/%
林地 737.22 71.27 8.34 71.82
灌木丛 208.68 20.17 2.17 18.70
园地 4.81 0.46 0.04 0.36
水域 5.77 0.56 0.41 3.50
耕地 50.16 4.85 0.37 3.14
居住地 5.80 0.56 0.07 0.60
工矿交通 6.11 0.59 0.04 0.32
裸地 15.91 1.54 0.18 1.56
Tab.4  Statistics of soil conservation and water conservation
Fig.5  Benefit coefficient of ecological protection
Fig.6  Key regions of ecological service
坡地类型 坡度范围/(°) 面积/km2 比例/%
平坡 <5 89.46 3.37
缓坡 [5,15) 411.27 15.51
斜坡 [15,25) 811.12 30.59
陡坡 [25,35) 812.37 30.63
急坡 [35,45) 414.95 15.65
险坡 ≥45 112.82 4.25
Tab.5  Area of different slopes in key regions
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