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.
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.