Agricultural practices in olive groves modify weeds floral traits and resources throughout the year

IF 6 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agriculture, Ecosystems & Environment Pub Date : 2024-09-03 DOI:10.1016/j.agee.2024.109280
Léa Genty , Aurélie Metay , Elena Kazakou , Mathilde Baude , Antoine Gardarin , Alice Michelot-Antalik , Karim Barkaoui
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Abstract

Lack of floral resources is suspected to be one of the factors involved in flower-visiting insect declines. Because agricultural landscapes are often poor in flowers, it seems crucial to assess weeds as floral resources to feed flower-visiting insects and to identify the factors that drive floral productivity, defined as floral biomass produced by the weed community. We monitored floral presence, productivity and traits in 16 olive groves from September 2021 to June 2022. The objectives were to understand to which extinct abiotic factors, among agricultural practices, pedoclimate and weather, determine floral productivity and to analyse the relationships between floral traits, floral presence and productivity. We found mowing frequency (2–3 per year on average) increased mean floral area and height, advanced flowering onset, and increased floral functional diversity and flowering species richness, which in turn increased floral presence and productivity.

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橄榄园的农业生产方式改变了杂草全年的花卉特征和资源
花卉资源匮乏被认为是导致花媒昆虫数量下降的因素之一。由于农业景观通常缺少花卉,因此评估杂草作为花卉资源来喂养访花昆虫,并确定驱动花卉生产力(即杂草群落产生的花卉生物量)的因素似乎至关重要。从 2021 年 9 月到 2022 年 6 月,我们对 16 个橄榄园的花卉存在、生产力和特征进行了监测。我们的目标是了解在农业耕作、气候和天气等非生物因素中,哪些因素决定了花的生产力,并分析花的特征、花的存在和生产力之间的关系。我们发现,除草频率(平均每年 2-3 次)增加了平均花卉面积和高度,提前了花期,提高了花卉功能多样性和花卉物种丰富度,进而提高了花卉存在率和生产力。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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