Acta Geographica Sinica ›› 2019, Vol. 74 ›› Issue (7): 1450-1466.doi: 10.11821/dlxb201907013

• Ecosystem • Previous Articles     Next Articles

The resilience evolution and scenario simulation of social-ecological landscape in the fragile area

ZHANG Hang,LIANG Xiaoying,LIU Di,SHI Qinqin,CHEN Hai()   

  1. College of Urban and Environmental Science, Northwest University, Xi'an 710027, China
  • Received:2018-05-18 Revised:2019-03-05 Online:2019-07-25 Published:2019-07-23
  • Contact: CHEN Hai
  • Supported by:
    National Natural Science Foundation of China(41671086);National Natural Science Foundation of China(41271103)


It is of fundamental significance to reveal the influencing mechanism of changes in human activities on ecological environment and landscape services, and to promote regional sustainable development that explores spatio-temporal variation and evolution of social-ecological resilience at the most operable landscape scale. Taking the loess hilly-gully region of Mizhi county as an example, this paper constructed an evaluation index system of social-ecological landscape resilience from the three dimensions of ecosystem, society system, and production system. The resilience of spatial-temporal evolution of the social-ecological landscape and subsystems were analyzed in this area along with their mutual relationships. The following results were obtained from this study: (1) During 2000-2015, the spatial distribution of the three subsystems resilience was prominently distinct and significantly strengthened. Among them, the resilience was significantly enhanced in the first stage of "Grain for Green Project" (2000-2009), and the resilience index of the three systems increased by 0.134, 0.048 and 0.028, respectively. (2) The spatial distribution of resilience on social-ecological landscape was also significantly distinct and the resilience index increased by 11.60%. The spatial distribution of resilience on social-ecological landscape presents a pattern of "high in center and low in eastern and western parts". (3) The positive relationships between the changes of the subsystems resilience and landscape system resilience were dominant, and the synergistic relationship between the resilience of the subsystems was obvious. The synergy rate of two or three systems is over 90%. In this study, OWA method was applied based on different weights of interference and adaptive ability indexes to set up situational preferences. Following this, simulation diagrams of social-ecological landscape resilience of the unsustainably oriented scenario, the current situation oriented scenario and sustainably oriented scenario were mapped, which provide a decision support for the adaptive management of regional landscape.

Key words: social-ecological landscape, landscape resilience, spatio-temporal evolution, scenario simulation, fragile area