Details

Autor(en) / Beteiligte

• Yu, Jiawen
• Long, Aihua
• Lai, Xiaoying
• Elbeltagi, Ahmed
• Deng, Xiaoya
• Gu, Xinchen
• Heng, Tong
• Cheng, Hui
• van Oel, Pieter

Titel

Evaluating sustainable intensification levels of dryland agriculture: A focus on Xinjiang, China

Ist Teil von

• Ecological indicators, 2024-01, Vol.158, p.111448, Article 111448

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2024

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek (Open access)

Beschreibungen/Notizen

• [Display omitted] •Evaluating emergy and environmental footprint characteristics in dryland crop systems.•Establish the Sustainable Intensification of Agriculture (SIA) evaluation framework.•The SIA framework covers five dimensions: management, production, resources, environment and society.•Provide a reference for understanding the relationship between the SIA and UN SDGs. Adequate tools for evaluating the Sustainable Intensification of Agriculture (SIA) level are crucial, especially in drylands with limited resources. Based on emergy indices and environmental footprints, We propose an evaluation framework for the case of major crop intensification in Xinjiang, China, and examine the local SIA from 2001 to 2020. The results show that increases in emergy input (EI) of the crop system were achieved with simultaneous increases in water consumption and carbon emissions. The most EI to the system is from economically non-free non-renewable resources (75.1 %), and only 5.4 % from environmentally free renewable resources. The emergy output (EO) of cotton was less than 80 % of wheat and maize, but the carbon footprint (CF) and water footprint (WF) of cotton were much higher than wheat and maize (>1.18 times and > 5.01 times, respectively). We group historical results covering emergy indices, CF, WF, and other production indicators into five dimensions and comprehensively evaluate the level of SIA in Xinjiang according to the changes in the five dimensions. It was found that raising the SIA depended on improving management, productivity, and environmental impact dimension from 2000 to 2005. After 2005, the SIA’s down-turning was due to the trade-offs between management, environmental dimensions, and their indicators and the continuous reduction of sustainability of other dimensions. In addition, the progress and realization of SDG 2, SDG 6, SDG 7, SDG 8, SDG 11, and SDG 12 can effectively improve the SIA. Our study serves as a helpful example for evaluating the level of sustainability of intensive agricultural policies not just in Xinjiang but also in other drylands of the world.