The Ecosystem Service Function of Shandong Xiajin Yellow River Ancient Mulberry Trees System and Its Effect on Regional Ecosystem

2016 ◽  
Vol 7 (3) ◽  
pp. 223-230 ◽  
Author(s):  
Sun Xueping ◽  
Wang Bin ◽  
Liu Moucheng ◽  
Liu Weiwei
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

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

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

Wetlands ◽  
2020 ◽  
Vol 40 (6) ◽  
pp. 2741-2754
Author(s):  
Huijuan Xia ◽  
Lusan Liu ◽  
Junhong Bai ◽  
Weijing Kong ◽  
Kuixuan Lin ◽  
...  

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.


Author(s):  
Aijun Guo ◽  
Yongnian Zhang ◽  
Fanglei Zhong ◽  
Daiwei Jiang

By integrating multiple remote sensing data sources this study accurately assesses the spatiotemporal characteristics of changes in ecosystem service values (ESVs) in the Yellow River Basin from 2000 to 2015 through Theil-Sen median trend analysis and the Mann-Kendall test. The stability and continuity of the ESVs were comprehensively characterized using coefficients of variation and the Hurst exponent. The degree of coherence between ESVs and economic growth (represented by gross domestic product GDP) on the same temporal and spatial scales was analyzed using ecological-economic coordination (EEC) models. The results show that (1) from 2001 to 2015 the total ESV and the ESV per unit area in the Yellow River Basin generally showed a U-shaped pattern (decreasing slightly then increasing rapidly). (2) The areas with increasing ESVs made up approximately 55.6% of the total area of the river basin. The areas with a decreasing pattern were mainly in the west and north of the Yellow River Basin. (3) The stability and continuity of the ESVs showed a clustered, compact distribution. (4) The most common level of EEC was slightly uncoordinated followed by slightly coordinated and highly coordinated. The proportion of coordinated areas was relatively higher in cultivated land and the lowest in built-up land.


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