Fertility and tillage intensity affect weed community diversity and functional structure in long-term organic systems.

community‐weighted mean functional dispersion non‐chemical weed management seed bank systems experiment weed abundance weed traits

Journal

Ecological applications : a publication of the Ecological Society of America
ISSN: 1051-0761
Titre abrégé: Ecol Appl
Pays: United States
ID NLM: 9889808

Informations de publication

Date de publication:
10 Sep 2024
Historique:
revised: 21 04 2024
received: 01 12 2023
accepted: 27 06 2024
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 11 9 2024
Statut: aheadofprint

Résumé

Knowledge of how agricultural management interacts with weed seed banks and emergent weed communities is crucial for proactive weed management. Though studies have detailed how differences in disturbance and nutrient applications between organic and conventional herbicide-based systems affect weed communities, few have focused on these same factors in contrasting organic systems. This study assessed the seed banks and emergent weed communities from the most recent crop rotation cycle (2017-2022) of a long-term experiment, which compared four organic grain and forage cropping systems differing in nutrient inputs and soil disturbance. The high fertility (HF) system received high-rate nutrient applications, low fertility (LF) received low-rate applications, enhanced weed management (EWM) focused on weed control through frequent soil disturbance, and reduced tillage (RT) prioritized soil health with less intense or frequent soil disturbance. Soil samples for greenhouse germination assays were collected at the beginning (2017) and end (2022) of the rotation to explore how these four systems influenced seed bank dynamics over time. Weed community biomass was also sampled in each crop during this time. Treatment effects on weed abundance, taxonomic diversity, and community-weighted means and functional dispersion of weed traits were analyzed with generalized mixed-effect models. The RT system had the highest weed seed bank taxonomic diversity, and EWM had the lowest. RT and LF had higher functional dispersion of traits than HF in the seed bank. Weed seed bank communities in HF and RT were characterized by short, small-seeded, and early germinating weed species. However, seed banks were also labile: Differences between systems in seed density and all other mean trait values were dependent on the crop, which preceded seed bank sampling. Likewise, differences among emergent weed communities in the four systems depended on an interaction between crop species and their planting year. Results suggest that resource availability and intensity of disturbance act as weed community assembly filters in organic cropping systems. Organic growers seeking to design systems that balance weed management and production goals can use relatively low soil disturbance and nutrient application to increase weed community taxonomic or functional diversity without necessarily increasing weed biomass or seed bank density.

Identifiants

pubmed: 39256977
doi: 10.1002/eap.3029
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3029

Subventions

Organisme : National Institute of Food and Agriculture
ID : 2020-51300-32183

Informations de copyright

© 2024 The Author(s). Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America.

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Auteurs

Jake Allen (J)

Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA.

Uriel D Menalled (UD)

Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA.

Guillaume Adeux (G)

Agroécologie, INRAE, Institut Agro, Université Bourgogne Franche-Comté, Dijon, France.

Christopher J Pelzer (CJ)

Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA.

Sandra Wayman (S)

Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA.

Ashley B Jernigan (AB)

Department of Entomology, Cornell University, Ithaca, New York, USA.

Stéphane Cordeau (S)

Agroécologie, INRAE, Institut Agro, Université Bourgogne Franche-Comté, Dijon, France.

Antonio DiTommaso (A)

Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA.

Matthew R Ryan (MR)

Soil and Crop Sciences Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA.

Classifications MeSH