Spatio-temporal quantification of the trade-offs and synergies among ecosystem services based on grid-cells: A case study of Guanzhong Basin, NW China

2018 ◽  
Vol 94 ◽  
pp. 246-253 ◽  
Author(s):  
Boyan Li ◽  
Nengcheng Chen ◽  
Yunchen Wang ◽  
Wei Wang
2018 ◽  
Author(s):  
Bo-Yan Li ◽  
Wei Wang ◽  
Yun-Chen Wang

Abstract. An important feature of the relationships among ecosystem services (ES) is they have temporal and spatial patterns. The purpose of this research was to study the spatial and temporal characteristics of the synergies and trade-offs in ES in Guanzhong Basin and Hanzhoung Basin, as well as to compare the ES differences between the two basins. The spatio-temporal characteristics of the relationships among ES were analysed and compared from 1995–2014 for Hanzhong Basin, which has a good ecological environment, and the economically developed Guanzhong Basin, using linear relationship between grain output and NDVI (LRGO & NDVI), the Carnegie–Ames–Stanford Approach (CASA), the integrated storage capacity method(ISCM), and the revised universal soil loss equation (RUSLE) model to simulate the four types of ES: food production (FP), net primary production (NPP), water retention (WR) and soil conservation (SC). The results of this study were as follows: (1) The trade-off relationships between FP and NPP in Guanzhong Basin and Hanzhong Basin were the most significant, and the trade-off relationship between FP and NPP in Guanzhong Basin (R = −0.40, P 


2019 ◽  
Vol 11 (21) ◽  
pp. 6041 ◽  
Author(s):  
Zhang ◽  
Li ◽  
Buyantuev ◽  
Bao ◽  
Zhang

Ecosystem services management should often expect to deal with non-linearities due to trade-offs and synergies between ecosystem services (ES). Therefore, it is important to analyze long-term trends in ES development and utilization to understand their responses to climate change and intensification of human activities. In this paper, the region of Uxin in Inner Mongolia, China, was chosen as a case study area to describe the spatial distribution and trends of 5 ES indicators. Changes in relationships between ES and driving forces of dynamics of ES relationships were analyzed for the period 1979–2016 using a stepwise regression. We found that: the magnitude and directions in ES relationships changed during this extended period; those changes are influenced by climate factors, land use change, technological progress, and population growth.


2018 ◽  
Vol 89 ◽  
pp. 828-839 ◽  
Author(s):  
Daniela Braun ◽  
Alexander Damm ◽  
Lars Hein ◽  
Owen L. Petchey ◽  
Michael E. Schaepman

2021 ◽  
Vol 286 ◽  
pp. 125316
Author(s):  
Shiliang Yang ◽  
Yang Bai ◽  
Juha M. Alatalo ◽  
Huimin Wang ◽  
Bo Jiang ◽  
...  

2016 ◽  
Vol 71 ◽  
pp. 416-427 ◽  
Author(s):  
Baojie Li ◽  
-->Dongxiang Chen ◽  
-->Shaohua Wu ◽  
-->Shenglu Zhou ◽  
Teng Wang ◽  
...  

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