Landscape pattern, ecosystem service value (ESV), and human well-being are closely related. Determining the link between the three is significant to the realization of regional sustainable development. However, the relationship is complex and vulnerable to multiple factors, many of which remain unknown. This study used remote sensing imagery of Xishuangbanna to map land-use in 1996, 2003, 2010, and 2016 and used landscape metrics to quantify landscape pattern changes. This research evaluated changes to ESV using the benefit transfer method and evaluated changes in human well-being using the evaluation index system and the entropy weight method. A coupling coordination model was used to analyze the coupling coordination state of the three, and the grey correlation method was used to determine key factors involved in the coupling mechanism. The results show that: (1) Forest, rubber, and tea are the main land-use types, with the area of forest decreasing, the area of rubber presenting an inverted V-shape change trend, the area of tea presenting an N-shape change trend, and the transformation of a large quantity of forest land into rubber and tea plantations. (2) The landscape pattern has become more fragmented, and connectivity and stability are in decline. (3) Climate regulation, water regulation, and erosion prevention are the main ecosystem services and, from 1996 to 2016, total ESV decreased by 3.53 billion yuan, mainly due to the decrease in forest ESV. Meanwhile, across the region, the area of high value decreased, and the area of median value increased, with a distribution trend of high value in the north and low value in the south. (4) The level of human well-being continues to rise. (5) The link between landscape pattern, ESV, and human well-being was relatively strong, and the coupling coordination degree first increased and then decreased, changing from grudging coordination to primary coordination and then dropping to a state of near maladjustment. Patch density and food production are the key coupling effect factors of landscape pattern and ESV on human well-being, respectively. The study results provide a reference for regional land-use policy and economic decision-making.
