Global Potential and Trade‐Offs of Conservation Tillage for Crop Productivity and Ecosystem Services

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Authors: Wanyang Zhang, Linchuan Fang, Wenquan Zhang, Chaoqun Wang, Tianyi Qiu, Xiaokun Li, Min Huang, Bolin Li, Ling Xia, Lai Peng, Yifeng Xu, Xiaoyong Wu
+5 more J. M. Hu, Ji Tan, S. Q. Shi, Jingchao Jia, Yakov Kuzyakov
Cited by: 4
References: 51

Abstract

Conservation Agriculture (CA) is pivotal to achieve sustainable intensification, yet the global efficacy of its core practice, conservation tillage (CT), remains debated regarding the trade-offs between crop productivity and ecosystem services across diverse environmental contexts. Here, we conducted a second-order meta-analysis, synthesizing 69 published meta-analyses, to elucidate the context-dependent drivers regulating the "win-win" outcomes of CT. Globally, CT reduced greenhouse gas (GHG) emissions by 5%, increased soil organic carbon sequestration by 21%, increased soil fertility by 11%, and reduced soil erosion by 12%, all while maintaining crop yields comparable to conventional tillage. However, CT can also emerge as a partial trade-off between crop yields and ecosystem services, notably between crop yield and GHG mitigation. These trade-offs were strongly regulated by climatic and edaphic conditions as well as management intensity. For instance, strong synergies between crop productivity and multiple ecosystem services were more pronounced in (semi-)arid regions characterized by low temperatures and low precipitation, as well as in coarse-textured alkaline soils. Furthermore, integrating CT with residue retention and crop rotations maximized these synergies, mitigating potential yield penalties. Collectively, our synthesis demonstrates that context-specific refinement of CT implementation is essential to reconcile agricultural productivity with ecosystem services, thereby advancing climate-resilient agricultural systems globally.

Fields of Study & Subjects

Soil Carbon and Nitrogen Dynamics Soil erosion and sediment transport Soil and Water Nutrient Dynamics

Publication details

Journal / source
Global Change Biology
Volume
32
Issue
4
Pages
e70825–e70825
Publication date
1 April 2026
Language
EN