Spatial pattern of the ecosystem service function of forests in Jinan City

2019 ◽  
Vol 39 (17) ◽  
Author(s):  
黄龙生 HUANG Longsheng ◽  
王兵 WANG Bing ◽  
牛香 NIU Xiang ◽  
宋庆丰 SONG Qingfeng
Author(s):  
Minghui Yang ◽  
Yu Xie

Ecological conservation red line (ECRL) is gaining increasing academic attention as delimiting the minimum space scope of ecological protection and the bottom line of ecological security. Taking Nanjing as a case study, we divided the territory into ecological and non-ecological redline areas (ERAs and NERAs, respectively). This paper highlights two key research issues based on the 2005, 2010, 2015 and 2018 annual remote sensing data: (i) quantitative analysis of the Ecological Redline Policy (ERP) validity by conducting a horizontal comparison of the ERAs and NERAs; and (ii) exploration of the land-use transitions and spatial pattern changes affecting ecosystem service value (ESV). Results showed that delineating ECRL could effectively slow down the decline rate of ESV. The trend of eco-quality deterioration was greater than eco-quality improvement in Nanjing, presenting an ESV that declined slightly in the whole. According to our findings, we suggest that reasonably increasing eco-lands (woodland and water area) and decreasing construction land will enhance the regional ESV. Meanwhile, promoting the transition from production space to ecological space and depressing the encroachment of living space on other space types, will be instrumental in mitigating the ESV decline. The results of this study are expected to provide valuable implications for spatial planning and sustainable development in Nanjing.


2019 ◽  
Vol 34 (8) ◽  
pp. 1654
Author(s):  
Zhuo LI ◽  
Wei-guo JIANG ◽  
Wen-jie WANG ◽  
Jin-xia LYU ◽  
Yue DENG

Author(s):  
Wei Zhao ◽  
Xiangmin Fang ◽  
Yawei Wei ◽  
Bernard J. Lewis ◽  
Limin Dai

2018 ◽  
Vol 10 (4) ◽  
pp. 902 ◽  
Author(s):  
Lei Zhang ◽  
Guangyu Hong ◽  
Zhuofan Li ◽  
Xiaowei Gao ◽  
Yongzhi Wu ◽  
...  

2020 ◽  
Author(s):  
Xiaojiong Zhao ◽  
Jian Wang ◽  
Junde Su ◽  
Wei Sun

AbstractScientific assessment of regional ecosystem service value (ESV) is helpful to make scientific ecological protection plan and compensation policy. The evaluation method has not been established that is adapted to the complex and diverse characteristics of the ecological environment. This paper takes Gansu Province as an example, on the basis of fully considering the regional differences of ecosystem service function, the five correction index of value equivalent factor per unit area were constructed in the provincial scale, and the regional difference adjustment index of 11 kinds of ES was constructed in regional scale, in the way, the value evaluation model based on regional difference was established. The results show that in 2015, the total ESV reached 2239.555 billion Yuan in Gansu Province, ESV gradually increased from the northeast to the southwest, and the high-value areas of service function located in Qilian Mountain and Longnan Mountain, of which the forest and grassland ecosystem contributed the most to the value. From the perspective of value composition, local climate regulation and biodiversity maintenance function are the main service functions of Gansu Province. From 2000 to 2015, ESV increased by 3.426 billion Yuan in Gansu Province, the value of forest and urban ecosystem continued increasing, while the value of cultivated land ecosystem continue decreasing. From the spatial characteristics of service value change, the area of value reduction gradually moved from the central part of Gansu Province to the surrounding area. In general, although this study needs further improvement, the constructed evaluation method provides a relatively comprehensive evaluation scheme for the spatiotemporal dynamic evaluation of ESV in Gansu Province. This study provided a more overall research idea for the evaluation of ESV under complex ecological environment.


2020 ◽  
Vol 40 (3) ◽  
Author(s):  
黄心怡 HUANG Xinyi ◽  
赵小敏 ZHAO Xiaomin ◽  
郭熙 GUO Xi ◽  
江叶枫 JIANG Yefeng ◽  
赖夏华 LAI Xiahua

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