home    about    browse    search    latest    help 
Login | Create Account

Linking species traits to agroecosystem services: a functional analysis of weed communities

Bàrberi, P.; Bocci, G.; Carlesi, S.; Armengot, L.; Blanco-Moreno, J.M. and Sans, F. X. (2018) Linking species traits to agroecosystem services: a functional analysis of weed communities. Weed Research, 58 (2), pp. 76-88.

[img] PDF - Published Version - English
Limited to [Depositor and staff only]

316kB
[img] Microsoft Word - Supplemental Material - English (Figure S1)
Limited to [Depositor and staff only]

47kB
[img] Microsoft Excel - Supplemental Material - English (Appendix S1)
Limited to [Depositor and staff only]

76kB

Online at: https://onlinelibrary.wiley.com/doi/abs/10.1111/wre.12283

Summary

There is a growing interest in the use of functional approaches for the study of weed assemblages, to disentangle underlying processes determining their composition and dynamics. Functional approaches are based on the assumption that weed community composition and dynamics can be best explained by a set of species traits expressing their response to agricultural disturbance. This knowledge should help develop more sustainable, ecologically based weed management systems. Trait‐based data required for this kind of analysis are available from various sources, but most of them either cover mainly non‐weedy species or, in the case of weed‐focussed trait databases, they cover a limited number of species. In this work, we present a trait database for 240 weed species common throughout Europe, including not only response traits but also effect traits, that is linked to selected agroecosystem services and disservices. A case study is presented where our weed trait database is used in conjunction with appropriate statistical analysis to highlight the distribution of weed functional groups in soyabean crop communities from an experiment including different tillage and weed management systems. Finally, we discuss the strengths, weaknesses, opportunities and threats of this functional approach. By highlighting the links between weed species and agroecosystem (dis)services, this approach could be a useful resource for scientists, farm managers and policymakers.


EPrint Type:Journal paper
Keywords:agroecology, biodiversity, database, disservice, RLQ analysis, tillage, TILMAN-ORG, Department of International Cooperation
Subjects: Crop husbandry > Soil tillage
Knowledge management > Research methodology and philosophy
Crop husbandry > Weed management
Research affiliation: Spain > University of Barcelona
European Union > CORE Organic II > TILMAN-ORG
Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > International Cooperation
Italy > Scuola Superiore Sant'Anna of Pisa
DOI:doi.org/10.1111/wre.12283
Deposited By: Forschungsinstitut für biologischen Landbau, FiBL
ID Code:32791
Deposited On:22 Nov 2018 13:53
Last Modified:22 Nov 2018 13:53
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

Repository Staff Only: item control page