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Winners and losers in subarctic moth communities in a changing climate: Marine Regime shifts as predictors for terrestrial insect biomass

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DataONE2026-05-05 更新2026-05-19 收录
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Understanding the role of climate change in the globally reported declines of insect populations is difficult due to complex interactions between climate and other drivers such as agricultural practices and changes in land use practice. We focused on subarctic moth communities in northernmost Finland, a region with significant climatic changes and minimal human impact. We use moth species abundance data from 45 years of light-trap monitoring at the Kevo Subarctic Research Institute. TRIM analyses showed a positive trend in total moth biomass between 1972 and 2017. However, excluding the autumnal moth (Epirrita autumnata), the increase in biomass was not significant. There were large differences in biomass trends between different groups based on life-history traits. Species overwintering as eggs, feeding as larvae on both herbaceous and woody plants, and generalists feeding on at least three plant genera had significant positive population trends. Moths overwintering as larvae, species ..., , # Data from: Winners and losers in subarctic moth communities in a changing climate: Marine Regime shifts as predictors for terrestrial insect biomass Dataset DOI: [10.5061/dryad.g79cnp640](https://doi.org/10.5061/dryad.g79cnp640) ## Description of the data and file structure The uploaded datasets combine three kinds of data collected 1972–2017: * Placeholders for climate parameters from the Finnish Meteorological Institute, weather station \"Utsjoki Kevo\", downloadable at the open repository of the institute ([https://en.ilmatieteenlaitos.fi/download-observations](https://en.ilmatieteenlaitos.fi/download-observations)) * Moth biomass data from long-running light traps at the Kevo subarctic research institute in Northern Finland * Data on moth ecology: their taxonomical position, larval feeding type, life stage of overwintering etc. We also added the SAS and R -codes we used to analyse the data. Please refer to the methods section of the original publication for details on how the ..., ,
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2026-05-06
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