Impacts of carbon farming practices on biodiversity at the farm scale

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Agriculture, Ecosystems & Environment Pub Date : 2026-04-15 Epub Date: 2026-01-17 DOI:10.1016/j.agee.2026.110230
Hanna Susi , Paula Thitz , Marleena Hagner , Krista Raveala , Johan Ekroos , Anna-Liisa Laine
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引用次数: 0

Abstract

Biodiversity loss from intensive agriculture poses a major threat to the long-term sustainability and resilience of food production systems. Sustainable land management practices, such as carbon farming, offer promising alternatives, but their biodiversity impacts and the most effective methods for detecting these impacts remain poorly understood. We surveyed 19 farms in boreal Finland to assess the effects of four carbon farming practices—cover crops, all-in mixes, adaptive grazing and ley mixtures—on plants, arthropods, nematodes and birds. We evaluated biodiversity responses using four alpha diversity metrics (abundance, species richness, Shannon’s diversity and Pielou’s evenness) and two beta diversity metrics (Bray–Curtis and Chi-square dissimilarity). Biodiversity responses were strongly context-dependent, varying by farming practice, taxonomic group and diversity metric. Abundance emerged as the most sensitive alpha metric across taxa, often detecting changes not reflected in community composition metrics. These findings suggest that abundance may serve as a useful early indicator of ecological change in managed landscapes. Adaptive grazing increased herbivorous arthropod abundance in contrast to control treatment, whereas ley mixture and adaptive grazing supported higher nematode abundances than cover crops and all-in mixes. All diversity metrics except species richness detected changes in at least one species group, practice or field status, but abundance consistently captured the broadest responses. Carbon farming practices can support biodiversity when tailored to species group and context. Monitoring approaches that incorporate multiple metrics—and prioritize abundance as a sensitive and early indicator—can improve the detection of ecological responses to sustainable farming interventions.
碳耕作方式对农场规模生物多样性的影响
集约化农业造成的生物多样性丧失对粮食生产系统的长期可持续性和复原力构成重大威胁。可持续土地管理实践,如碳农业,提供了有希望的替代方案,但它们对生物多样性的影响以及检测这些影响的最有效方法仍然知之甚少。我们调查了芬兰北部的19个农场,以评估四种碳农业实践——覆盖作物、全混合、适应性放牧和禾草混合——对植物、节肢动物、线虫和鸟类的影响。我们使用4个alpha多样性指标(丰度、物种丰富度、Shannon多样性和Pielou均匀度)和2个beta多样性指标(bry - curtis和Chi-square不相似度)来评估生物多样性响应。生物多样性响应强烈依赖于环境,因耕作方式、分类类群和多样性指标而异。丰度是整个分类群中最敏感的alpha度量,经常检测到未反映在群落组成度量中的变化。这些发现表明,丰度可以作为管理景观中生态变化的有用早期指标。与对照处理相比,适应性放牧增加了草食性节肢动物的丰度,而禾草混合和适应性放牧比覆盖作物和全播混合支持更高的线虫丰度。除了物种丰富度外,所有多样性指标都至少在一个物种群、实践或野外状态中发现了变化,但丰度始终捕获了最广泛的响应。如果根据物种群和环境进行调整,碳农业实践可以支持生物多样性。结合多种指标的监测方法——优先考虑丰度作为一个敏感的早期指标——可以改善对可持续农业干预的生态反应的检测。
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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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