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Examining multi-functionality for crop yield and ecosystem services in five systems of agroecological intensification
Abstract
Agroecological intensification (AEI) integrates ecological principles and biodiversity management into farming systems with the aims of increasing farm productivity, reducing dependency on external inputs, and sustaining or enhancing ecosystem services. This review develops an analytic framework to characterize the fulfilment of these objectives by documenting the co-occurrence of positive, neutral, and negative outcomes for crop yield and nine regulating ecosystem services. We provide an illustrative examination of the framework, evaluating evidence for yield and ecosystem service outcomes across five AEI systems: conservation agriculture, holistic grazing management, organic agriculture, precision agriculture, and system of rice intensification (SRI). We reviewed 104 studies containing 245 individual comparisons between AEI and contrasting farming systems. In three of the five AEI systems, conservation agriculture, precision agriculture, and SRI, more than half of reviewed comparisons reported ‘win-win’ outcomes, enhancement of both yield and ecosystem services, or ‘win-neutral’ outcomes relative to contrasting farming systems. The review presents substantial evidence that the five AEI systems can contribute to multi-functional agriculture by increasing ecosystem service provision, or reducing negative externalities associated with agriculture, while maintaining or increasing yields. A framework such as the one presented here can help guide decision-makers considering how best to implement multi-functional agriculture so that both crop yield and ecosystem service delivery can be maintained or increased.
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“In fact, recent quantitative research shows that agroecology can conciliate food provision with bundles of other ESs [60-64].”
From How Are Landscapes under Agroecological Transition Perceived and Appreciated? A Belgian Case Study (2020) · cites this paper as [64]
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Metadata
- Authors
- Garbach, K., Milder, J. C., DeClerck, F. A. J., Montenegro de Wit, M., Driscoll, L., & Gemmill-Herren, B.
- Affiliations
- Loyola University Chicago (US)
- Cornell University (US)
- Alliance Bioversity International - CIAT (IT)
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA
- University of California, Berkeley (US)
- World Agroforestry Center, Nairobi, Kenya
- Corresponding author
- Garbach, Kelly
- Venue
- International Journal of Agricultural Sustainability
- Publisher
- Informa UK Limited
- Published
- 2016-04-28
- Volume
- 15
- Issue
- 1
- Pages
- 11-28
- ISSN
- 1473-5903 (ISSN-L)
- 1747-762X
- OpenAlex
- W2342557752
- Cited by
- 198
- References
- 110
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 24 · 2023: 18 · 2022: 27 · 2021: 23 · 2020: 26 · 2019: 20 · 2018: 14 · 2017: 12 · 2016: 3
- FWCI
- 12.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Agricultural Sustainability (publishedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Bill and Melinda Gates Foundation
- CGIAR Research Program on Water, Land and Ecosystems
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Sustainable Agricultural Systems Analysis
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agronomic Practices and Intercropping Systems
- Keywords
- agroecological intensification, multifunctionality, crop yield, ecosystem services, regulating services, conservation agriculture, organic farming, precision agriculture, System of Rice Intensification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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