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How to implement biodiversity-based agriculture to enhance ecosystem services: a review
Open accessAbstract
Intensive agriculture has led to several drawbacks such as biodiversity loss, climate change, erosion, and pollution of air and water. A potential solution is to implement management practices that increase the level of provision of ecosystem services such as soil fertility and biological regulation. There is a lot of literature on the principles of agroecology. However, there is a gap of knowledge between agroecological principles and practical applications. Therefore, we review here agroecological and management sciences to identify two facts that explain the lack of practical applications: (1) the occurrence of high uncertainties about relations between agricultural practices, ecological processes, and ecosystem services, and (2) the site-specific character of agroecological practices required to deliver expected ecosystem services. We also show that an adaptive-management approach, focusing on planning and monitoring, can serve as a framework for developing and implementing learning tools tailored for biodiversity-based agriculture. Among the current learning tools developed by researchers, we identify two main types of emergent support tools likely to help design diversified farming systems and landscapes: (1) knowledge bases containing scientific supports and experiential knowledge and (2) model-based games. These tools have to be coupled with well-tailored field or management indicators that allow monitoring effects of practices on biodiversity and ecosystem services. Finally, we propose a research agenda that requires bringing together contributions from agricultural, ecological, management, and knowledge management sciences, and asserts that researchers have to take the position of “integration and implementation sciences.”
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“While transitioning towards these innovative practices, the challenge for farmers lies in the numerous uncertainties related to the complex nature of agroecosystems, in which ecological processes and ES form an intricate network that is often unpredictable, not fully understood [16], and specific to each production site [17,18].”
From How Are Landscapes under Agroecological Transition Perceived and Appreciated? A Belgian Case Study (2020) · cites this paper as [16]
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“In addition, many authors argue that the production and diffusion of general scientific knowledge is essential but by itself not enough to support agroecological transitions (Duru et al., 2015).”
From Performance of innovative cropping systems diversified with oilseeds and protein crops: identification and resolution of methodological issues, using the Syppre experimental network as a case study (2024) · cites this paper as Duru et al., 2015
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How can models foster the transition towards future agricultural landscapes?
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Metadata
- Authors
- Duru, M., Therond, O., Martin, G., Martin-Clouaire, R., Magne, M.-A., Justes, E., Journet, E.-P., Aubertot, J.-N., Savary, S., Bergez, J.-E., & Sarthou, J. P.
- Affiliations
- Institut National Polytechnique de Toulouse (FR)
- AGroécologie, Innovations, teRritoires (FR)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Duru, Michel
- ORCID
- Venue
- Agronomy for Sustainable Development
- Published
- 2015-06-10
- Volume
- 35
- Issue
- 4
- Pages
- 1259-1281
- ISSN
- 1773-0155 (ISSN-L)
- 1774-0746
- OpenAlex
- W601488478
- Cited by
- 659
- References
- 186
- Citations by year
- 2026: 41 · 2025: 74 · 2024: 62 · 2023: 92 · 2022: 97 · 2021: 78 · 2020: 64 · 2019: 45 · 2018: 55 · 2017: 27 · 2016: 20 · 2015: 4
- FWCI
- 117.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Agronomy for Sustainable Development (publishedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- Funders
- Agence Nationale de la Recherche (ANR-09-STRA-0008, ANR-09-STRA-06, ANR-09-STRA-0006, ANR-13-AGRO-0006, ANR-13-AGRO)
- FP7 Food, Agriculture and Fisheries, Biotechnology (289328)
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Plant and soil sciences
- 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
- Keywords
- ecosystem services, agroecology, agroecological principles, adaptive management, site-specific management, knowledge base, management indicators, biodiversity monitoring, diversified farming systems, implementation science, knowledge management
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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