In this study, the updated Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset for growing season (April to October), which can better reflect the vegetation vigor, was used to investigate the interannual variations in NDVI and its relationship with climatic factors, in order to preliminarily understand the climate impact on vegetation and provide theoretical basis for the response of ecosystem to climate change. Multivariate linear regression models, including the Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR), were adopted to analyze the correlation between NDVI and climatic factors (temperature and precipitation) together. Average growing-season NDVI significantly increased at a rate of 0.0015/year from 1982 to 2013, larger than several regions in China. On the whole, its relationship with temperature is positive and also stronger than precipitation, which indicated that temperature may be a limiting factor for the vegetation growth in the Karst region. Moreover, the correlation coefficients between grassland NDVI and climatic factors are the largest. Under the background of NDVI increasing trend from 1982 to 2013, the period of 2009–2012 was chosen to investigate the influencing factors of a sharp decline in NDVI. It can be found that the reduced temperature and solar radiation, caused by the increase in cloud cover and precipitation, may play important roles in the vegetation cover change. All in all, the systematic research on the interannual variations of growing-season NDVI and its relationship with climate revealed the heterogeneity and variability in the complicated climate change in the Karst ecosystem for the study area. It is the Karst characteristics that hinder obtaining more representative conclusions and tendencies in this region. Hence, more attention should be paid to promoting Karst research in the future.

This paper reviews the exploration and application of social–ecological systems research perspectives to sustainable development issues such as the areas of coupled human–earth relations, resource management, geographical landscape patterns, system dynamics, and the relationship between ecosystem services and human well-being, and summarizes practical approaches and applied techniques for solving social–ecological system problems in order to understand changes and relationships in complex systems better. The article summarizes the theoretical research on social–ecological systems by domestic and international scholars into six frameworks: system resilience, system cascade, nature’s contribution to humans based on ecosystem services, public resource system management, system behavior scenario analysis, and system regime shift. Innovative research and practice oriented to complexity, coupling, and nonlinearity have emerged. However, there are differences between scientific research and applied practice, including their theoretical and methodological orientations. We should be oriented to social–ecological system problems to achieve a transformation from components to relationships, from outcomes to processes, from single to open systems, from general interventions to context sensitivity, and from linear to complex causality to meet what is required from sustainability science and geography.