As the result of the rapid development, mountain areas have suffered from the unbalanced development and land use planning. Recently, under the global climate change, the stability of mountain land is more difficult to control. Therefore, it is an important issue to find the most suitable land use pattern for mountains in order to respond to the impact of global climate change.This paper applies multi-objective programming model for the evaluation of sustainable management strategies of optimal land development in mountains. The environmental goals focus on the water quality, the economic goals focus on the total output value, and the disaster goals focus on soil erosion. A case study of the planning for land use programs in the Tai Po Township in Taiwan was demonstrated

This study integrated remote sensing, geographic information system, landscape ecology, and spatial analysis, and is based on meteorological data and four remote sensing images (2000-2015). The aim of this study was to analyse climate trends and spatiotemporal changes in agricultural landscape patterns, and calculate agricultural ecosystem service value (AESV) in Xinjiang, China. In addition, correlation analysis further enabled the quantification of agricultural landscape pattern changes in response to climate change. Results showed that temperature and precipitation registered a fluctuating ascending trend in most areas of Xinjiang. Landscape diversity and fragmentation increased during the same period. AESV showed a trend of gradual increase, the waste disposal and the water retention are the most important ecological functions. Besides, agricultural landscape pattern significantly correlated to climate and the effect of precipitation on agricultural landscape patterns has been greater than the effect of temperature during 2000-2015.