欧盟各地开放获取的杂草发生率能否成为农业集约化的代表?

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-10-01 DOI:10.1016/j.ecolind.2024.112664
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引用次数: 0

摘要

多样化的可耕植物群落有助于农业生态系统的长期可持续性,并支持多种生态系统服务。农业集约化影响着这些群落的组成和结构,是欧洲生物多样性丧失的主要原因之一。欧盟(EU)的一些政策旨在扭转农业生态系统退化的趋势,因此需要基于生物多样性数据的指标。在此,我们重点关注有作物和可耕植物的耕地。通过全球生物多样性信息机制 (GBIF) 等渠道开放生物多样性数据,为开发大规模指标提供了多种选择。我们研究了 GBIF 中某些杂草的出现是否可以成为较低农业集约化水平的指标。为此,我们设计了一个欧盟规模的数据驱动概念验证,使用了 2018 年欧盟 28 国范围内 10 米分辨率的玉米地图,以及与该作物相关的 156 种杂草的共计 2,082,796 次出现数据。共确定了 12 种对集约化敏感的耕地植物,它们有可能成为指标。我们还展示了 GBIF 数据是如何捕捉到农业集约化代用指标对作物相关植物群落的影响的。即使存在一年只研究一种作物的局限性,我们还是介绍了这些数据在评估农业生态系统状况方面的一些潜力。跨尺度的生物多样性相关观测数据的创新整合将为农业生态系统的特征描述提供支持,从而为农场、景观管理和政策影响评估提供信息。
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Can open access weeds occurrences across the European Union become a proxy for agricultural intensification?
Diverse communities of arable plants contribute to the long-term sustainability of agroecosystems and support a large variety of ecosystem services. Agricultural intensification influences the composition and structure of these communities and is one of the major drivers of biodiversity loss in Europe. Several European Union (EU) policies seek to reverse agroecosystems degradation and need biodiversity data-based indicators. Here we focus on arable fields with crops and arable plants. Open access to biodiversity data, such as through the Global Biodiversity Information Facility (GBIF), opens multiple options to develop large-scale indicators. We investigate whether occurrences of certain weeds from GBIF could become indicators of lower levels of agricultural intensification. For this, we designed an EU-scale data-driven proof of concept, using a 2018 EU28-wide 10 m resolution map of maize and a total of 2,082,796 occurrences data for 156 weed species associated to this crop. A total of 12 arable plants sensitive to intensification were identified that could possibly become indicators. We also show how GBIF data is able to capture the effect of proxies for agricultural intensification on plant communities associated with crops. Even with the limitations of studying only one crop for a single year, we present some of the potential of these data to assess the condition of agroecosystems. Novel integration of biodiversity relevant observations across scales will need to underpin the characterization of agroecosystems to inform farm, as well as landscape management and policy impact evaluation.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
期刊最新文献
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