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Monday, April 9 • 5:30pm - 7:00pm
POSTER: Identifying the Relationships and Drivers of Agro-Ecosystem Services Using a Constraint Line Approach in the Agro-Pastoral Transitional Zone of China

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AUTHORS: Jianmin Qiao, Beijing Normal University; Deyong Yu*, Beijing Normal University; Ruifang Hao, Beijing Forestry University; Jianguo Wu, Beijing Normal University & Arizona State University

ABSTRACT: Understanding the relationships and drivers of agro-ecosystem services (AES) can promote the management of sustainable agricultural ecosystems. In contrast to previous studies that analyzed the trade-off or synergistic relationships between ecosystem services, the constraint effects and the thresholds between ecosystem services were quantified using a constraint line method in this study. The constraint effects of climate (solar radiation, precipitation, wind speed, relative humidity, maximum temperature (Tmax) and minimum temperature (Tmin)), management (fertilization and irrigation), soil texture (sand, silt, and clay content), and terrain (elevation and slope) on AES were evaluated. The results indicated that two types of constraint relationships (hump-shaped and logarithmic) between ecosystem services of maize yield, soil organic carbon (SOC), nitrate (N) leaching, water and wind erosion were identified in the agro-pastoral transitional zone of China. The maize yield had hump-shaped constraint effects on SOC, N leaching, and water erosion, while other paired AES were mutually exclusive with logarithmic constraint curves. By contrast, seven types of constraint effects of drivers on AES, including positive linear, hump-shaped, negative and positive convex, logarithmic, exponential and S-shaped curves, were identified. The drivers that played major roles in determining the yield, SOC, water erosion, wind erosion, and N leaching were Tmin, relative humidity, slope, and precipitation. The constraint line approach enriches our understanding of linkages between ecosystem services and is particularly helpful in identifying the constraint drivers on AES from the perspective of optimizing the agricultural ecosystem.

Monday April 9, 2018 5:30pm - 7:00pm CDT
Monroe Room